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+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% %
+%% HEPIA BACHELOR THESIS LATEX TEMPLATE %
+%% version 0.10 - 2020/04/22 %
+%% %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\RequirePackage[hyphens]{url}
+\documentclass[12pt
+%% UNCOMMENT THE LINE BELOW TO HAVE CHAPTER STARTING ON THE RIGHT PAGE
+% ,twoside, openright
+ ]{report} %% should use memoir documentclass
+\input{config/thesis}
+
+%% To fill up by the student
+\newcommand{\Author}{< Prénom NOM >}
+\newcommand{\TitleImage}{template/images/title/title}
+\newcommand{\Title}{< TITRE DE VOTRE MÉMOIRE DE PROJET DE SEMESTRE >}
+\newcommand{\Shorttitle}{< Titre abrégé de votre mémoire de projet de semestre >}
+\newcommand{\Orientation}{< Nom complet de votre orientation >}
+\newcommand{\Professor}{< Prénom NOM >}
+\newcommand{\Client}{< Prénom NOM >}
+\newcommand{\Year}{< année >}
+\newcommand{\Month}{< mois >}
+%% THE LINES BELLOW ARE FOR PDF REFERENCING PURPOSES.
+\newcommand{\Keywords}{< Some keywords about your thesis >}
+\newcommand{\Subject}{< Some words about your thesis field >}
+\newcommand{\Convention}{< oui/non >}
+\newcommand{\Confidentiel}{< oui/non >}
+
+%% DO NOT MODIFY \hypersetup BELOW. THIS IS FOR PDF REFERENCING PURPOSES.
+\hypersetup{
+ pdftitle={\Title},
+ pdfauthor={\Author},
+ pdfkeywords={\Keywords},
+ pdfsubject={\Subject}
+}
+%\usepackage{showframe} % Prints document frame
+
+\input{template/header}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DOCUMENT STARTS BELOW %%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\begin{document}
+\pagenumbering{roman}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% TITLE %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\input{template/title}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% IMAGE TITLE REF %%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\newgeometry{top=2.1cm,bottom=3.5cm,right=2.5cm,left=2.5cm}
+\begin{spacing}{1.5}
+\input{chapters/titleref}
+\end{spacing}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DEDICATION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% TABLE OF CONTENT %%%%%%%%%%%%%%%%%%%%%%%%%%%
+\begin{spacing}{1}
+\input{chapters/globaltoc}
+\end{spacing}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DEDICATION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\begin{spacing}{1.5}
+\input{chapters/dedication}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ACKNOWLEDGEMENTS %%%%%%%%%%%%%%%%%%%%%%%%%%%
+\input{chapters/acknowledgements}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ABSTRACT %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\input{chapters/abstract}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% LIST OF ACRONYMS %%%%%%%%%%%%%%%%%%%%%%%%%%
+\input{chapters/acronyms}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% LIST OF FIGURES %%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\input{chapters/figureslist}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% LIST OF TABLES %%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\input{chapters/tableslist}
+\end{spacing}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% LIST OF ANNEXES %%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%% COMMENT THIS PART IF YOU DO NOT USE DEDICATED TOC FOR ANNEXES AND COMMENT
+%%% HEADER AND FOOTER PART IN {chapters/annexes} FILE
+\begin{spacing}{1}
+\input{chapters/annexestoc}
+\end{spacing}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% INTRODUCTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\begin{spacing}{1.5}
+\pagenumbering{arabic}
+\input{chapters/intro}
+%\clearpage
+\cleardoublepage
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% CHAPTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Add your chapters here %%%%%%%%%%%%%%%%%%%%%%%%%
+%\input{chapters/chapXXX}
+\input{chapters/chap1}
+\input{chapters/chap2}
+\input{chapters/chap3}
+\input{chapters/conclusion}
+\input{chapters/annexes}
+\input{chapters/references}
+\end{spacing}
+\end{document}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DOCUMENT ENDS HERE %%%%%%%%%%%%%%%%%%%%%%%%%%
diff --git a/memoire/chapters/abstract.tex b/memoire/chapters/abstract.tex
new file mode 100644
index 0000000000000000000000000000000000000000..a39722a925687e1a0c763bb1d57ca7df935717d0
--- /dev/null
+++ b/memoire/chapters/abstract.tex
@@ -0,0 +1,42 @@
+% !TeX spellcheck = fr_FR
+\thispagestyle{noheader}
+\chapter*{Résumé} % No (numbered) toc entry with *
+
+\tikz[remember picture,overlay] \node[shift={(4.165cm,-1.955cm)}]
+ at (current page.north west)
+ {\includegraphics[height=1.29cm]{template/images/title/hepia_logo}};
+ \tikz[remember picture,overlay] \node[shift={(-4.238cm,-1.97cm)}]
+ at (current page.north east)
+ {\includegraphics[height=1.29cm]{template/images/title/hes-so_geneve_logo}};
+
+\addcontentsline{toc}{chapter}{Résumé} % Adding toc entry
+\thispagestyle{noheader}
+
+\begin{spacing}{0.956}
+\vspace{0.5cm}
+
+ %% CONTENT STARTS HERE
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte. Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte (\textbf{250 mots minimum et 300 mots maximum dans la police utilisée pour votre mémoire}).
+
+\vfill
+\begin{center}
+ {\includegraphics[]{template/images/abstract/image}}\\*
+\vfill
+%% CONTENT ENDS HERE
+
+{
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%% DO NOT MODIFY THE TABLE BELOW %%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ \begin{tabular*}{16cm}{p{7.59cm} p{7.58cm}}
+ \small Candidat-e: & \small Professeur-e(s) responsable(s):\\*[10pt]
+ \small\textbf{\textsc{\Author}} & \small\textbf{\textsc{\Professor}}\\*[10pt]
+ \footnotesize Filière d’études : ISC & \footnotesize \textbf{En collaboration avec:} < Nom de l’entreprise >\\*[10pt]
+ \footnotesize {} & \footnotesize Travail de bachelor soumis à une convention de stage en entreprise: \Convention\\*[20pt]
+ \footnotesize {} & \footnotesize Travail soumis à un contrat de confidentialité: \Confidentiel\\*[10pt]
+ \end{tabular*}\\*[1.9cm]
+}
+
+ \textit{Attention : Tout l’énoncé doit tenir sur une seule page}
+\end{center}
+\end{spacing}
diff --git a/memoire/chapters/acknowledgements.tex b/memoire/chapters/acknowledgements.tex
new file mode 100644
index 0000000000000000000000000000000000000000..f5ecaa6f1312267e5843d3e13685e946a90b9864
--- /dev/null
+++ b/memoire/chapters/acknowledgements.tex
@@ -0,0 +1,5 @@
+% !TeX spellcheck = fr_FR
+\chapter*{Remerciements} % No (numbered) toc entry with *
+\addcontentsline{toc}{chapter}{Remerciements} % Adding toc entry
+
+\textit{< Formulez ici vos remerciements aux personnes qui vous ont aidé dans la réalisation de votre travail. >}
\ No newline at end of file
diff --git a/memoire/chapters/acronyms.tex b/memoire/chapters/acronyms.tex
new file mode 100644
index 0000000000000000000000000000000000000000..cc76d50e8fd42d78d538d298762c554a79ed88b1
--- /dev/null
+++ b/memoire/chapters/acronyms.tex
@@ -0,0 +1,12 @@
+% !TeX spellcheck = fr_FR
+\printnoidxglossary[type=\acronymtype,title={Liste de acronymes}]
+
+% Use the acronyms
+\vspace{5cm}
+\textit{NB : Vous pouvez utiliser des acronymes en les définissant dans le fichier externe \texttt{/glossary/acronyms}. Une page dans la table des matières sera automatiquement ajoutée. Vous pourrez ensuite les référencer dans votre texte comme dans l'exemple ci-après:}\medskip
+
+\gls{utc} is 3 hours behind \gls{adt} and 10 hours ahead of \gls{est}.\medskip
+
+\textit{Lors de la première déclaration, l'acronyme est accompagné de sa définition, mais lors des utilisations suivantes, il ne l'est plus, comme illustré ci-dessous:}\medskip
+
+\gls{utc} is 3 hours behind \gls{adt} and 10 hours ahead of \gls{est}.
\ No newline at end of file
diff --git a/memoire/chapters/annexes.tex b/memoire/chapters/annexes.tex
new file mode 100644
index 0000000000000000000000000000000000000000..bc8f847c2266f2ec231c5f044cbd3e0bf8e12c8a
--- /dev/null
+++ b/memoire/chapters/annexes.tex
@@ -0,0 +1,30 @@
+% !TeX spellcheck = fr_FR
+\addcontentsline{toc}{chapter}{Annexes} % Adding toc entry
+%%% COMMENT THESES LINES IF YOU DO NOT USE DEDICATED TOC FOR ANNEXES
+\stopcontents[default]
+\resumecontents[annexes]
+%%% /COMMENT THESES LINES IF YOU DO NOT USE DEDICATED TOC FOR ANNEXES
+\chapter*{Annexes}
+
+\begin{center}
+\textit{Imprimer idéalement cette page sur une page de couleur.}
+\textit{Chaque annexe doit commencer sur une nouvelle page et doit être numérotée : Annexe 1 puis Annexe 2, etc.}
+\end{center}
+
+
+\chapter*{Annexe 1}
+\addcontentsline{toc}{chapter}{Annexe 1}
+
+
+\chapter*{Annexe 2}
+\addcontentsline{toc}{chapter}{Annexe 2}
+
+
+\chapter*{Annexe 3}
+\addcontentsline{toc}{chapter}{Annexe 3}
+
+
+%%% COMMENT THESES LINES IF YOU DO NOT USE DEDICATED TOC FOR ANNEXES
+\stopcontents[annexes]
+\resumecontents[default]
+%%% /COMMENT THESES LINES IF YOU DO NOT USE DEDICATED TOC FOR ANNEXES
\ No newline at end of file
diff --git a/memoire/chapters/annexestoc.tex b/memoire/chapters/annexestoc.tex
new file mode 100644
index 0000000000000000000000000000000000000000..7f99fb207417a7620ae76b90fe96d68c1a16f210
--- /dev/null
+++ b/memoire/chapters/annexestoc.tex
@@ -0,0 +1,5 @@
+% !TeX spellcheck = fr_FR
+\chapter*{Liste des annexes} % No (numbered) toc entry with *
+\addcontentsline{toc}{chapter}{Liste des annexes} % Adding toc entry
+
+\printcontents[annexes]{ }{2}{}
\ No newline at end of file
diff --git a/memoire/chapters/chap1.tex b/memoire/chapters/chap1.tex
new file mode 100644
index 0000000000000000000000000000000000000000..b920ccbc274091068d5c77fe264693cc4a9d40a4
--- /dev/null
+++ b/memoire/chapters/chap1.tex
@@ -0,0 +1,113 @@
+% !TeX spellcheck = fr_FR
+\chapter{Chapitre 1 : Titre du chapitre}
+
+\begin{center}
+ \textit{Chaque chapitre doit commencer sur une nouvelle page.}\\*[35pt]
+\end{center}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+
+\section{Titre de niveau 2}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte\footnote{Exemple de note de bas de page.}.
+
+\begin{figure}[tbph!]
+ \centering
+ \includegraphics[width=0.7\linewidth]{chart}
+ \caption[Diagramme machin]{Diagramme machin. Source : tiré de Tartempion 2010, p. 42 / tiré de ce-site.ch, ref. URL01 / réalisé par Nom Prénom.}
+ \label{fig:chart1}
+\end{figure}
+
+
+\subsection{Titre de niveau 3}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+\begin{table}[tbph!]
+ \centering{
+ \begin{tabular}{ |l|c|c|c| }
+ \hline
+ & \textbf{Condition 1} & \textbf{Condition 2} & \textbf{Condition 3} \\
+ \hline
+ \textbf{Test 1} & X & O & X \\
+ \hline
+ \textbf{Test 2} & O & X & X \\
+ \hline
+ \textbf{Test 3} & O & X & O \\
+ \hline
+ \end{tabular}
+ \caption[Lot de données n°1]{Lot de données n°1. Source: tiré de Tartempion 2010, p. 42 / tiré de ce-site.ch, ref. URL02 / réalisé par Nom Prénom.}
+ \label{tab:tableau1}
+ }
+\end{table}
+
+
+\subsection{Titre de niveau 3}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+Votre texte, votre texte, votre texte, votre\footnote{Autre note de bas de page.} texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+\begin{figure}[tbph!]
+ \centering
+ \includegraphics[width=0.7\linewidth]{diagram}
+ \caption[Schéma bidule.]{Schéma bidule. Source : tiré de Tartempion 2010, p. 42 / tiré de ce-site.ch, ref. URL03 / réalisé par Nom Prénom.}
+ \label{fig:diagram}
+\end{figure}
+
+
+\section{Titre de niveau 2}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+\begin{figure}[tbph!]
+ \centering
+ \includegraphics[width=0.7\linewidth]{ordi}
+ \caption[Alice, Micro-ordinateur MATRA.]{Alice, Micro-ordinateur MATRA. Source : tiré de Tartempion 2010, p. 42 / tiré de ce-site.ch, ref. URL03 / réalisé par Nom Prénom.}
+ \label{fig:image}
+\end{figure}
+
+
+\subsection{Titre de niveau 3}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+
+\subsection{Titre de niveau 3}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+\begin{table}[tbph!]
+ \centering{
+ \begin{tabular}{ |l|c|c|c| }
+ \hline
+ & \textbf{Condition 1} & \textbf{Condition 2} & \textbf{Condition 3} \\
+ \hline
+ \textbf{Test 1} & X & O & X \\
+ \hline
+ \textbf{Test 2} & O & X & X \\
+ \hline
+ \textbf{Test 3} & O & X & O \\
+ \hline
+ \end{tabular}
+ \caption[Lot de données n°2.]{Lot de données n°2. Source: tiré de Tartempion 2010, p. 42 / tiré de ce-site.ch, ref. URL05 / réalisé par Nom Prénom.}
+ \label{tab:tableau2}
+ }
+\end{table}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+
+\subsection{Titre de niveau 3}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+
+\subsection{Titre de niveau 3}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
\ No newline at end of file
diff --git a/memoire/chapters/chap2.tex b/memoire/chapters/chap2.tex
new file mode 100644
index 0000000000000000000000000000000000000000..410a6bd6f57f4928760902123a3939bd794c10b9
--- /dev/null
+++ b/memoire/chapters/chap2.tex
@@ -0,0 +1,14 @@
+% !TeX spellcheck = fr_FR
+\chapter{Chapitre 2 : Titre du chapitre}
+
+
+\section{Titre de niveau 2}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+\begin{figure}[tbph!]
+ \centering
+ \includegraphics[width=0.7\linewidth]{chart}
+ \caption[Diagramme Truc.]{Diagramme Truc. Source: rapport d'activité 2019 de MonEntrepriseDeStage.}
+ \label{fig:chart3}
+\end{figure}
\ No newline at end of file
diff --git a/memoire/chapters/chap3.tex b/memoire/chapters/chap3.tex
new file mode 100644
index 0000000000000000000000000000000000000000..78d9f4dc873b3e3a68b2638c305c570b51b70c16
--- /dev/null
+++ b/memoire/chapters/chap3.tex
@@ -0,0 +1,14 @@
+% !TeX spellcheck = fr_FR
+\chapter{Chapitre 3 : Titre du chapitre}
+
+
+\section{Titre de niveau 2}
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
+
+\begin{figure}[tbph!]
+ \centering
+ \includegraphics[width=0.7\linewidth]{chart}
+ \caption[Diagramme Trucmuche.]{diagramme Trucmuche. Source: tiré de Tartempion 2010, p. 42 / tiré de ce-site.ch, ref. URL06/ réalisé par Nom Prénom.}
+ \label{fig:chart4}
+\end{figure}
\ No newline at end of file
diff --git a/memoire/chapters/conclusion.tex b/memoire/chapters/conclusion.tex
new file mode 100644
index 0000000000000000000000000000000000000000..e29d235f4d27a0e3364e1b87a78cac60cb6cf9fd
--- /dev/null
+++ b/memoire/chapters/conclusion.tex
@@ -0,0 +1,6 @@
+% !TeX spellcheck = fr_FR
+\chapter*{Conclusion}
+\addcontentsline{toc}{chapter}{Conclusion} % Adding toc entry
+
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
\ No newline at end of file
diff --git a/memoire/chapters/dedication.tex b/memoire/chapters/dedication.tex
new file mode 100644
index 0000000000000000000000000000000000000000..cdd360029eb66e08f19e159fc2b6d7168110f2b8
--- /dev/null
+++ b/memoire/chapters/dedication.tex
@@ -0,0 +1,5 @@
+% !TeX spellcheck = fr_FR
+\vspace*{120pt} % DO NOT MODIFY THIS VALUE
+\begin{flushright}
+ \textit{< Insérez ici votre dédicace >} (facultatif)
+\end{flushright}
\ No newline at end of file
diff --git a/memoire/chapters/figureslist.tex b/memoire/chapters/figureslist.tex
new file mode 100644
index 0000000000000000000000000000000000000000..32c4088ef6986a64dc25de9d39986a9f8d7fd85b
--- /dev/null
+++ b/memoire/chapters/figureslist.tex
@@ -0,0 +1,13 @@
+% !TeX spellcheck = fr_FR
+\renewcommand{\listfigurename}{Liste des illustrations}
+\listoffigures
+\addcontentsline{toc}{chapter}{\listfigurename} % Adding toc entry
+
+\paragraph{Références des URL}
+
+\begin{itemize}
+\item URL01 \href{ce-site.ch/bla/bli/blo/blou.html}{ce-site.ch/bla/bli/blo/blou.html}
+\item URL03 \href{ce-site.ch/blou/bli/bla.html}{ce-site.ch/blou/bli/bla.html}
+\item URL04 \href{https://commons.wikimedia.org/w/index.php?curid=906980}{https://commons.wikimedia.org/w/index.php?curid=906980}
+\item URL06 \href{ce-site.ch/monrapportdestage.pdf}{ce-site.ch/monrapportdestage.pdf}
+\end{itemize}
\ No newline at end of file
diff --git a/memoire/chapters/globaltoc.tex b/memoire/chapters/globaltoc.tex
new file mode 100644
index 0000000000000000000000000000000000000000..7e987fe87fbd978d879304aca6dd85421a6a4c33
--- /dev/null
+++ b/memoire/chapters/globaltoc.tex
@@ -0,0 +1,10 @@
+% !TeX spellcheck = fr_FR
+\chapter*{Table des matières}
+
+\textit{La table des matières doit reprendre tous les niveaux de titre et sous-titre du mémoire, y compris les pages initiales (page des remerciements, énoncé du sujet, résumé, table des annexes et autres tables), ainsi que les références documentaires, etc.}
+
+\startcontents[default]
+\printcontents[default]{ }{1}{}
+
+\startcontents[annexes]
+\stopcontents[annexes]
\ No newline at end of file
diff --git a/memoire/chapters/intro.tex b/memoire/chapters/intro.tex
new file mode 100644
index 0000000000000000000000000000000000000000..8b1f152636c8db6dad479ec5e9c35511d3a11633
--- /dev/null
+++ b/memoire/chapters/intro.tex
@@ -0,0 +1,5 @@
+% !TeX spellcheck = fr_FR
+\chapter*{Introduction}
+\addcontentsline{toc}{chapter}{Introduction} % Adding toc entry
+
+Votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte, votre texte.
\ No newline at end of file
diff --git a/memoire/chapters/references.tex b/memoire/chapters/references.tex
new file mode 100644
index 0000000000000000000000000000000000000000..cb30ac71e91dfb105ced516dad65bed5c08d6f34
--- /dev/null
+++ b/memoire/chapters/references.tex
@@ -0,0 +1,7 @@
+% !TeX spellcheck = fr_FR
+\chapter*{Références documentaires}
+\addcontentsline{toc}{chapter}{Références documentaires} % Adding toc entry
+
+\noindent\textit{Sites Web consultés – Code repris d’ailleurs – Notices techniques – Articles de presse – Ouvrage imprimés – Ouvrages électroniques – Chapitre dans un ouvrage imprimé – Rapports imprimés – Travaux universitaires – Articles de revues imprimés – Articles de périodiques électroniques – Communication dans un congrès. Pour chacun de ces types de document, les mise en forme sont dans le document « Méthode de citation et de rédaction d’une bibliographie ».}\\
+
+\textit{Afin de gagner du temps, pensez à utiliser le logiciel de gestion bibliographique Zotero (et/ou BibTeX si vous utilisez LaTeX) pour la mise en forme et l’édition automatique de vos références à la norme ISO690.}
\ No newline at end of file
diff --git a/memoire/chapters/tableslist.tex b/memoire/chapters/tableslist.tex
new file mode 100644
index 0000000000000000000000000000000000000000..1a6182416823ee65577fc633613377a97e206a2b
--- /dev/null
+++ b/memoire/chapters/tableslist.tex
@@ -0,0 +1,17 @@
+% !TeX spellcheck = fr_FR
+\renewcommand{\listtablename}{Liste des tableaux}
+\listoftables
+\addcontentsline{toc}{chapter}{\listtablename} % Adding toc entry
+
+\vspace*{14.4pt}
+
+\textit{N.B. Si vous avez peu de tableaux, vous pouvez les intégrer à la table des illustrations.}
+
+\vspace*{14.4pt}
+
+\paragraph{Références des URL}
+
+\begin{itemize}
+\item URL02 \href{ce-site.ch/bli/bla/blo/blou}{ce-site.ch/bli/bla/blo/blou}
+\item URL05 \href{ce-site.ch/publications/documents/rapports/rapportsdestage/monrapportdestage.pdf}{ce-site.ch/publications/documents/rapports/rapportsdestage/monrapportdestage.pdf}
+\end{itemize}
\ No newline at end of file
diff --git a/memoire/chapters/titleref.tex b/memoire/chapters/titleref.tex
new file mode 100644
index 0000000000000000000000000000000000000000..716587f78167cf695c0f9b3fa3d2889c61b67a5e
--- /dev/null
+++ b/memoire/chapters/titleref.tex
@@ -0,0 +1,4 @@
+% !TeX spellcheck = fr_FR
+\thispagestyle{empty}
+\vspace*{500pt} % DO NOT MODIFY THIS VALUE
+Légende et source de l'illustration de couverture :
\ No newline at end of file
diff --git a/memoire/config/thesis.tex b/memoire/config/thesis.tex
new file mode 100644
index 0000000000000000000000000000000000000000..783b23a35bcf8ac0e380367da9a30d85e66e2016
--- /dev/null
+++ b/memoire/config/thesis.tex
@@ -0,0 +1,125 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% %
+%% HEPIA BACHELOR THESIS LATEX TEMPLATE %
+%% version 0.10 - 2020/04/25 %
+%% %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%\documentclass[12pt]{report}
+\usepackage[T1]{fontenc}
+\usepackage[utf8]{inputenc}
+\usepackage[french]{babel}
+\usepackage[cm]
+ {fullpage} % Set margins to full page
+\usepackage[a4paper,includeheadfoot,margin=2.5cm]{geometry}
+%\usepackage[a4paper,includehead,includefoot,top=2.1cm,bottom=2.5cm,right=2.5cm,left=2.5cm]{geometry}
+\usepackage{lmodern} % latin Modern font (FALLBACK FONT)
+
+\usepackage{caption}
+\captionsetup{labelfont=sc}
+% You can change names of table and figure here
+\def\frenchtablename{Tableau}
+\def\frenchfigurename{Illustration}
+
+\usepackage{float}
+\usepackage{tikz} % Image and drawing related package - TITLE PAGE
+\usepackage{setspace} % Custom spacing package - TITLE PAGE
+\usepackage{array} % Array related package - TITLE PAGE
+\usepackage{helvet} % Helvetica font ~ Arial - TITLE PAGE
+\usepackage{mathptmx} % Times font ~ Times New Roman
+\usepackage{carlito} % Calibri replacement font
+\usepackage[scaled=0.85]
+ {beramono} % Vera mononspace {fvm}
+
+%% This defines the default sans serif, roman and monospace fonts
+\renewcommand{\sfdefault}{phv} % helvetica as sans serif font
+\renewcommand{\rmdefault}{ptm} % times as roman (serif) font
+\renewcommand{\ttdefault}{fvm} % Vera mononspace as monospace font
+\usepackage{bold-extra} % Allow custom typsettings horrors like bold Small Caps
+\usepackage{slantsc} % Allow custom typsettings horrors like bold Small Caps
+
+\usepackage[bigcaptions]
+ {listing} % listing related package
+\usepackage{listings} % listing related package
+\usepackage{titletoc}
+%\usepackage{tocbibind} % TOC related package
+\usepackage[titles]
+ {tocloft} % TOC related package - here to add dots to chapter leader in TOC
+\renewcommand{\cftchapleader}{\cftdotfill{\cftdotsep}}
+\usepackage{lipsum} % Lorem Ipsum generator
+
+\usepackage{fancyhdr}
+\usepackage{graphicx}
+\usepackage{color}
+\usepackage{xcolor}
+\usepackage{chngcntr} % counter related package
+%\usepackage{emptypage} % adds blank pages without number, but keeps page numbering going on
+
+\graphicspath{{figures/}}
+
+\usepackage[acronym,toc,shortcuts,hyperfirst=true]{glossaries}
+\makenoidxglossaries
+\input{glossary/acronyms}
+\glsenablehyper
+\renewcommand*{\glstextformat}[1]{\textcolor{darkblue}{#1}}
+
+\usepackage[htt]
+ {hyphenat} % hyphenation related package
+\usepackage[hyperfootnotes=true,
+ linkcolor=darkgray,
+ citecolor=black,
+ filecolor=black,
+ pagecolor=black,
+ urlcolor=darkblue,
+ linktoc=all,
+ bookmarks=true,
+ pdfborder={0 0 0},
+ pdfdisplaydoctitle=true,
+ pdftoolbar=true,
+ pdfmenubar=true,
+ pdfstartview=X Y Z,
+ pdfstartpage=1,
+ breaklinks]
+ {hyperref} % URL and hyperlinks configuration, with hard break if too long lines
+
+\usepackage[hyphens]{url}
+\sloppy % helps with url hyphenation if we no not use xurl.
+%% IF YOUR URLS LOOK UGLY AND WAY TO LONG, UNCOMMENT THE LINE BELOW AND __DO NOT__ USE OVERLEAF, WHICH DOESN'T SUPPORT EXTENDED LATEX PACKAGES
+%\usepackage{xurl}
+\usepackage{numprint} % number notation related package, e.g 10'000'000
+%\usepackage{amsmath} % math related package
+
+\counterwithout{footnote}{chapter}
+
+\usepackage{setspace} % linespacing related package
+
+\definecolor{codebg}{rgb}{0.98,0.98,0.98}
+\definecolor{sectcol}{rgb}{0.094,0.184,0.486}
+\definecolor{darkgray}{rgb}{0.2,0.2,0.2}
+\definecolor{darkblue}{rgb}{0.2,0.2,0.4}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% CUSTOM TOC %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% This defines the way section and subsections are numbered.
+%% Uncomment to have section numbered without chapter number
+% \renewcommand\thesection{\arabic{section}}
+% having subsections numbered with letters
+\renewcommand{\thesubsection}{\alph{subsection}}
+
+%% This allows you to tweak the depth numbering of the TOC and the sections
+\setcounter{tocdepth}{3} % TOC depth numbering set to 3
+\setcounter{secnumdepth}{3} % section depth numbering set to 3
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% /CUSTOM TOC %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% CUSTOM CHAPTER TITLES %%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\usepackage{titlesec}
+\titleformat{\chapter}[hang]{\fontsize{15.5}{18.7}\centering\bfseries\scshape}{}{1pc}{}
+\titleformat{name=\chapter,numberless}[hang]{\fontsize{15.5}{18.7}\centering \selectfont \bfseries\scshape}{}{1pc}{}
+\titlespacing{\chapter}{0pc}{-0.44cm}{0.64cm}
+\titleformat{\section}[hang] {\fontsize{13.5}{16.7}\bfseries\scshape}{\thesection.}{1pc}{}[]
+\titlespacing{\section}{0pc}{6pt}{5pt}
+\titleformat{\subsection}[hang] {\bfseries\large}{\hspace*{1em} \thesubsection.}{1pc}{}
+\titlespacing{\subsection}{0pc}{4pt}{15pt}
+\titleformat{\subsubsection}[hang] {\bfseries\large}{\hspace*{2em} \thesubsubsection.}{1pc}{}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% /CUSTOM CHAPTER TITLES %%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\author{\Author}
+\title{\Title}
diff --git a/memoire/figures/chart.pdf b/memoire/figures/chart.pdf
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index 0000000000000000000000000000000000000000..3bc9bb13500222d840c8ed3b669700f4d9083297
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diff --git a/memoire/figures/diagram.pdf b/memoire/figures/diagram.pdf
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diff --git a/memoire/figures/ordi.jpg b/memoire/figures/ordi.jpg
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index 0000000000000000000000000000000000000000..c90a525adacd4d96fef8f4ade55da40f14e7b3ae
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diff --git a/memoire/glossary/acronyms.tex b/memoire/glossary/acronyms.tex
new file mode 100644
index 0000000000000000000000000000000000000000..a89563607474c32154284d9358fe28abf5fbaa31
--- /dev/null
+++ b/memoire/glossary/acronyms.tex
@@ -0,0 +1,4 @@
+% Acronym definitions
+\newacronym{utc}{UTC}{Coordinated Universal Time}
+\newacronym{adt}{ADT}{Atlantic Daylight Time}
+\newacronym{est}{EST}{Eastern Standard Time}
\ No newline at end of file
diff --git a/memoire/template/header.tex b/memoire/template/header.tex
new file mode 100644
index 0000000000000000000000000000000000000000..8724471c3bed730436e32ec89628c41889bc9232
--- /dev/null
+++ b/memoire/template/header.tex
@@ -0,0 +1,35 @@
+% !TeX spellcheck = fr_FR
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% %
+%% HEPIA BACHELOR THESIS FRONTPAGE LATEX TEMPLATE %
+%% version 0.10 - 2020/04/25 %
+%% %
+%% %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% set geometry
+\setlength{\headheight}{15pt}
+\setlength{\headsep}{0.5cm}
+% set text of header
+\newcommand{\Headertext}{\textcolor{black!50}{\scriptsize{\Author - \Shorttitle - Projet de semestre - \Month \Year}}}
+% define page header page style
+\fancypagestyle{withheader}{%
+\lhead[\Headertext]{\Headertext}
+\chead[]{}
+\rhead[]{}
+\renewcommand{\headrulewidth}{0pt}
+}
+% define page stlye with chapters
+\fancypagestyle{plain}{%
+\lhead[\Headertext]{\Headertext}
+\chead[]{}
+\rhead[]{}
+\renewcommand{\headrulewidth}{0pt}
+}
+% define page style to be used where no header is needed
+\fancypagestyle{noheader}{%
+\lhead[]{}
+\chead[]{}
+\rhead[]{}
+}
+% set header page style
+\pagestyle{withheader}
\ No newline at end of file
diff --git a/memoire/template/images/abstract/image.png b/memoire/template/images/abstract/image.png
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diff --git a/memoire/template/images/title/.DS_Store b/memoire/template/images/title/.DS_Store
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diff --git a/memoire/template/images/title/hepia_logo.jpg b/memoire/template/images/title/hepia_logo.jpg
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index 0000000000000000000000000000000000000000..d885c710084a2a1e79d08fe32170a848c446e3a1
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diff --git a/memoire/template/images/title/hes-so_geneve_logo.emf b/memoire/template/images/title/hes-so_geneve_logo.emf
new file mode 100644
index 0000000000000000000000000000000000000000..16c24b590748ed1a212df1aadbc92f2eeaa320a5
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diff --git a/memoire/template/images/title/hes-so_geneve_logo.png b/memoire/template/images/title/hes-so_geneve_logo.png
new file mode 100644
index 0000000000000000000000000000000000000000..90403e3e4c5829acf0a7e75507c64ef8fce032b1
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diff --git a/memoire/template/images/title/hes-so_geneve_logo.svg b/memoire/template/images/title/hes-so_geneve_logo.svg
new file mode 100644
index 0000000000000000000000000000000000000000..b9f547e9f625665fcb01e3ecd7f872af510dbe05
--- /dev/null
+++ b/memoire/template/images/title/hes-so_geneve_logo.svg
@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
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"/>
+</svg>
\ No newline at end of file
diff --git a/memoire/template/images/title/title.png b/memoire/template/images/title/title.png
new file mode 100644
index 0000000000000000000000000000000000000000..ab96d4bac71d93d4719b0156f368e27f82ee21d9
Binary files /dev/null and b/memoire/template/images/title/title.png differ
diff --git a/memoire/template/title.tex b/memoire/template/title.tex
new file mode 100644
index 0000000000000000000000000000000000000000..e95cb4f502e20676ba4907c7d35d5494f5a7ffe5
--- /dev/null
+++ b/memoire/template/title.tex
@@ -0,0 +1,64 @@
+% !TeX spellcheck = fr_FR
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% %
+%% HEPIA BACHELOR THESIS FRONTPAGE LATEX TEMPLATE %
+%% version 0.9 - 2020/04/20 %
+%% %
+%% DO NOT MODIFIY THIS PAGE %
+%% %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\begin{titlepage}
+ \newgeometry{top=2cm,bottom=2cm,right=2cm,left=2cm}
+ %% HEADER IMAGES
+ \tikz[remember picture,overlay] \node[shift={(4.165cm,-1.955cm)}]
+ at (current page.north west)
+ {\includegraphics[height=1.29cm]{template/images/title/hepia_logo}};
+ \tikz[remember picture,overlay] \node[shift={(-4.238cm,-1.97cm)}]
+ at (current page.north east)
+ {\includegraphics[height=1.29cm]{template/images/title/hes-so_geneve_logo}};
+
+ \begin{center}
+ %% CONTENT STARTS HERE
+ {\fontfamily{phv}\selectfont
+ \vspace*{51pt}
+ {
+ %% TITLE
+ \begin{spacing}{1.5}
+ {\fontsize{16pt}{20pt} \textbf{\Title}}\\[29pt]
+ \end{spacing}
+
+ %% IMAGE IF ANY
+ {\color{white}
+ \includegraphics[height=8cm,width=8cm]{\TitleImage}\\[35pt]
+ }
+
+ %% PROJET DE SEMESTRE
+ {\large Projet de semestre présenté par}\\[21pt]
+
+ %% AUTHOR
+ {\fontsize{16pt}{20pt} \textbf{\Author}}\\[17pt]
+
+ %% DEGREE
+ {\large
+ \fontsize{14pt}{20pt} \textbf{Informatique et systèmes de communication avec orientation\\ \Orientation }\\[32pt]
+
+ %% DATE
+ \textbf{\Month, \Year}}\\[49pt]
+
+ {
+ \begin{tabular*}{16cm}{>{\centering}m{7.59cm}>{\centering}m{7.58cm}}
+ %% SUPERVISOR
+ Professeur-e HES responsable\\[13pt]
+ \textbf{ \Professor }
+ &
+ %% CLIENT (IF ANY)
+ Mandant (si existant)\\[12pt]
+ \textbf{ \Client }
+ \end{tabular*}
+ }
+ }
+ \vfill
+ }%\fontfamily
+ \end{center}
+\end{titlepage}
+\addtocounter{page}{1}
diff --git a/model/HuggingFace/__pycache__/zero_shot_classification.cpython-313.pyc b/model/HuggingFace/__pycache__/zero_shot_classification.cpython-313.pyc
index f9fe991a66bb56c47b50e3e79f5e493ea66710a4..7a3365936ba9237909f316db3113ebcd666bcb1e 100644
Binary files a/model/HuggingFace/__pycache__/zero_shot_classification.cpython-313.pyc and b/model/HuggingFace/__pycache__/zero_shot_classification.cpython-313.pyc differ
diff --git a/model/HuggingFace/zero_shot_classification.py b/model/HuggingFace/zero_shot_classification.py
index ffe2d2430cd07e46c8755eff2b2bca5dc7b47a3f..da72dba929a2b500f7982e882d95a2aaf5fc4f48 100644
--- a/model/HuggingFace/zero_shot_classification.py
+++ b/model/HuggingFace/zero_shot_classification.py
@@ -24,7 +24,7 @@ MODELS = [
"MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli",
"MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33",
"MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli",
- "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract", # https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
+ "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract" # https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
]
def create_classifier(model = MODELS[0]):
diff --git a/model/__pycache__/cohere.cpython-313.pyc b/model/__pycache__/cohere.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..e73cb0c842c6240592cea7acde6def812eee0e68
Binary files /dev/null and b/model/__pycache__/cohere.cpython-313.pyc differ
diff --git a/model/__pycache__/cohereCommand.cpython-313.pyc b/model/__pycache__/cohereCommand.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ceea054cf92c05a407dc84cd8cadd9b6a8b2ae8c
Binary files /dev/null and b/model/__pycache__/cohereCommand.cpython-313.pyc differ
diff --git a/model/__pycache__/gemini.cpython-313.pyc b/model/__pycache__/gemini.cpython-313.pyc
index c0aec6179a9f107b0bca53d092d490961582b006..b4289322215c8b4d81dafd22daf9aa9837aadb06 100644
Binary files a/model/__pycache__/gemini.cpython-313.pyc and b/model/__pycache__/gemini.cpython-313.pyc differ
diff --git a/model/claude.py b/model/claude.py
new file mode 100644
index 0000000000000000000000000000000000000000..a155ea17d00bd03e4daa0abe03be4574924fb17d
--- /dev/null
+++ b/model/claude.py
@@ -0,0 +1,18 @@
+# As of what i have found, Claude API can't be used for free
+
+import os
+from anthropic import Anthropic, HUMAN_PROMPT, AI_PROMPT
+
+api_key="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"
+
+client = Anthropic(api_key=api_key)
+
+prompt = f"{HUMAN_PROMPT} What is the capital of France?{AI_PROMPT}"
+
+response = client.completions.create(
+ model="claude-3.5-sonnet",
+ prompt=prompt,
+ max_tokens_to_sample=100,
+)
+
+print(response.completion)
diff --git a/model/cohereCommand.py b/model/cohereCommand.py
new file mode 100644
index 0000000000000000000000000000000000000000..443d7ea9e38cf8743de926e0ad651dd4be1f1240
--- /dev/null
+++ b/model/cohereCommand.py
@@ -0,0 +1,19 @@
+import cohere
+import json
+
+co = cohere.ClientV2("hNdIrXFRGTzxSK4bnEXONMMIYukcMuPqOLHV6P28")
+
+def cohere_classify(sequence, labels):
+ prompt = f'I need you to give me the labels that could be given to the text (keep in mind that u can put multiple labels and select only the labels that i give you):\
+ text: {sequence}\
+ labels: {labels}\
+ Give the response in json format {{ "labels": [] }}'
+
+ response = co.chat(
+ model="command-r-plus",
+ messages=[{"role": "user", "content": prompt}]
+ )
+
+ responce_json = json.loads(response.message.content[0].text)
+
+ return responce_json
\ No newline at end of file
diff --git a/model/doc/cohere.md b/model/doc/cohere.md
new file mode 100644
index 0000000000000000000000000000000000000000..74254217a368448f325f6445d7ecae4382a26429
--- /dev/null
+++ b/model/doc/cohere.md
@@ -0,0 +1,11 @@
+# Cohere
+
+## Limitation
+
+In my case the limitation is 10 calls per minute, so i added a wait of 6 seconds between each call to bypass it.
+
+To see other limitations go to: https://docs.cohere.com/docs/rate-limits?_gl=1*1715i4s*_gcl_au*MjExMTY5NTM4MC4xNzM4ODkyOTMx*_ga*OTUxMjcxNTMwLjE3Mzg4OTI5MzI.*_ga_CRGS116RZS*MTczODg5MjkzMS4xLjEuMTczODg5MzY3My4yMy4wLjA.
+
+To see how to use API, go to: https://docs.cohere.com/docs/chat-api
+
+To see your API Keys, go to: https://dashboard.cohere.com/api-keys
\ No newline at end of file
diff --git a/model/doc/gemini.md b/model/doc/gemini.md
new file mode 100644
index 0000000000000000000000000000000000000000..2fedebd78740bea9b0ebd4196c537390613a016d
--- /dev/null
+++ b/model/doc/gemini.md
@@ -0,0 +1,64 @@
+# Gemini
+
+## API Key
+
+To obtain an API Key...
+
+## Limitation
+
+### Quotas
+
+When first using the api, i ran into a error: "google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).". I still haven't fully understand how this error arrives but i found an explication.
+
+This error arrives when the number of requests exceeds the capacity allocated to process requests. Google has two quota framework: Pay-as-you-go and Provisioned Throughput.
+
+For my case, the Pay-as-you-go framework is used. Because:
+
+Pay-as-you-go -> Error message: "Resource exhausted, please try again later."
+Provisioned Throughput -> Error message: "Too many requests. Exceeded the Provisioned Throughput."
+
+#### Source
+
+- Error code 429: https://cloud.google.com/vertex-ai/generative-ai/docs/error-code-429
+
+### Pay-as-you-go
+
+This framework uses dynamic shared quota (DSQ).
+
+Dynamic shared quota (DSQ) distributes available on-demand capacity among all queries being processed by Google Cloud services for specific models. This capability eliminates the need to set quota limits and to submit quota increase requests (QIRs).
+
+DSQ processes requests from all customers to the same regional or multi-regional endpoints. Quotas are removed, and available capacity is distributed to each project.
+
+To see wich google models support dynamic shared quota, see source "dynamic shared quota".
+
+#### Retry strategy
+
+To resolve the error code 429 problem they recomend to implement a retry strategy.
+
+They recommend using an exponential backoff algorithm, that uses exponentially increasing waiting times between requests, up to a maximum backoff time.
+
+#### Source
+
+- dynamic shared quota: https://cloud.google.com/vertex-ai/generative-ai/docs/dsq
+- retry strategy: https://cloud.google.com/storage/docs/retry-strategy#exponential-backoff
+
+### Provisioned Throughput
+
+Provisioned Throughput is a fixed-cost monthly subscription or weekly service that reserves throughput for supported generative AI models on Vertex AI. It is is the only way to ensure high availability for your application and to get predictable service levels for your production workloads.
+
+To see wich google models are supported, see source "supported models".
+
+To see purchase information, see source "Purchase information"
+
+To see how to use this framework, see source "Usage"
+
+#### Source
+
+- Overview: https://cloud.google.com/vertex-ai/generative-ai/docs/provisioned-throughput
+- Supported models: https://cloud.google.com/vertex-ai/generative-ai/docs/supported-models
+- Purchase information: https://cloud.google.com/vertex-ai/generative-ai/docs/purchase-provisioned-throughput
+- Usage: https://cloud.google.com/vertex-ai/generative-ai/docs/use-provisioned-throughput
+
+### Gemini quotas
+
+To see gemini quotas, go to: https://cloud.google.com/gemini/docs/quotas
\ No newline at end of file
diff --git a/model/gemini.py b/model/gemini.py
index 7adfaa97e588ae4f490a4613b131b67e7f1aefc7..5c988e612bfcc9fd5fb07663356be205f10fc679 100644
--- a/model/gemini.py
+++ b/model/gemini.py
@@ -1,23 +1,36 @@
import os
import google.generativeai as genai
import json
+import time
genai.configure(api_key="AIzaSyCQZHTRyBPj6h5pZfktmyg8MMx1Rw8AXU8")
-def gemini_classify(sequence, labels):
-
+def gemini_start_chat():
model = genai.GenerativeModel(model_name='gemini-1.5-flash')
+ chat = model.start_chat()
+
+ return chat
+
+def gemini_classify(chat, sequence, labels):
prompt = f'I need you to give me the labels that could be given to the text (keep in mind that u can put multiple labels and select only the labels that i give you):\
text: {sequence}\
labels: {labels}\
Give the response in json format "labels": []'
- print(prompt)
+ waitingTime = 1
+ while(waitingTime <= 500):
+ try:
+ response = chat.send_message(prompt)
+ break
+ except:
+ print(f"Waiting {waitingTime} seconds")
+ time.sleep(waitingTime)
+ waitingTime *= 2
+
+ if waitingTime > 500:
+ raise Exception("Problem with Gemini")
- chat = model.start_chat()
- response = chat.send_message(prompt)
-
json_str = response.text.strip().lstrip('```json').strip()
if json_str.endswith("```"):
diff --git a/model/gpt-test.py b/model/gpt-test.py
index 34f78a0e38089b73b2d44df1496fe96e5e2f5377..d00b13ff73b323f617a554119ed5b939893e094a 100644
--- a/model/gpt-test.py
+++ b/model/gpt-test.py
@@ -5,12 +5,15 @@ client = OpenAI(
api_key="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"
)
-chat_completion = client.chat.completions.create(
+completion = client.chat.completions.create(
+ model="gpt-4o-mini",
messages=[
+ {"role": "system", "content": "You are a helpful assistant."},
{
"role": "user",
- "content": "Say this is a test",
+ "content": "Write a haiku about recursion in programming."
}
- ],
- model="gpt-3.5",
-)
\ No newline at end of file
+ ]
+)
+
+print(completion.choices[0].message)
\ No newline at end of file
diff --git a/model/llama.py b/model/llama.py
new file mode 100644
index 0000000000000000000000000000000000000000..9deff4c88a080249c1776df7cceddba022c88b02
--- /dev/null
+++ b/model/llama.py
@@ -0,0 +1,40 @@
+import json
+from llamaapi import LlamaAPI
+
+# Initialize the SDK
+llama = LlamaAPI("<your_api_token>")
+
+# Build the API request
+api_request_json = {
+ "model": "llama3.1-70b",
+ "messages": [
+ {"role": "user", "content": "What is the weather like in Boston?"},
+ ],
+ "functions": [
+ {
+ "name": "get_current_weather",
+ "description": "Get the current weather in a given location",
+ "parameters": {
+ "type": "object",
+ "properties": {
+ "location": {
+ "type": "string",
+ "description": "The city and state, e.g. San Francisco, CA",
+ },
+ "days": {
+ "type": "number",
+ "description": "for how many days ahead you wants the forecast",
+ },
+ "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+ },
+ },
+ "required": ["location", "days"],
+ }
+ ],
+ "stream": False,
+ "function_call": "get_current_weather",
+}
+
+# Execute the Request
+response = llama.run(api_request_json)
+print(json.dumps(response.json(), indent=2))
diff --git a/model/results/cohere/v1.txt b/model/results/cohere/v1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..181f0f14556878c7c4874d2d1cb664a5a3a28ebe
--- /dev/null
+++ b/model/results/cohere/v1.txt
@@ -0,0 +1,6802 @@
+---------------------------------
+MODEL: Cohere
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737504
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Stem Cell Transplantation', 'Cell- and Tissue-Based Therapy', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736607
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors', 'Employment', 'Socioeconomic Factors', 'Poverty', 'Universal Health Insurance', 'Cost of Illness']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732655
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Machine Learning', 'Bias', 'Population Health', 'Algorithms']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731009
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725416
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'New Zealand', 'Cross-Sectional Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Adult', 'Comorbidity', 'Censuses', 'Adolescent', 'Young Adult', 'Aged, 80 and over', 'Prevalence', 'Child', 'Child, Preschool']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39722627
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709790
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['NF-E2-Related Factor 2', 'Humans', 'Animals', 'Noncommunicable Diseases', 'Oxidative Stress', 'Reactive Oxygen Species', 'Oxidation-Reduction', 'Disease Models, Animal', 'Inflammation', 'Gene Expression Regulation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39702198
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'India', 'Middle Aged', 'Aged, 80 and over', 'Noncommunicable Diseases', 'Cost of Illness', 'Disability-Adjusted Life Years', 'Sex Factors', 'Age Factors', 'Global Burden of Disease', 'Wounds and Injuries']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699459
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Brazil', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Chronic Disease', 'Noncommunicable Diseases', 'Prevalence', 'Health Surveys', 'Young Adult', 'Adolescent', 'Sex Distribution', 'Socioeconomic Factors', 'Cost of Illness', 'Multimorbidity', 'Sociodemographic Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697299
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Multimorbidity', 'Noncommunicable Diseases', 'Health Expenditures', 'Prevalence', 'Aged', 'Adult', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696316
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Thailand', 'Humans', 'Noncommunicable Diseases', 'Stakeholder Participation', 'Health Policy', 'Sustainable Development', 'Intersectoral Collaboration', 'Cooperative Behavior']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39696309
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693027
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39683555
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Female', 'Italy', 'Exercise', 'Feeding Behavior', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Knowledge, Attitudes, Practice', 'Young Adult', 'Child', 'Adolescent Behavior', 'Surveys and Questionnaires', 'Health Risk Behaviors', 'Risk-Taking', 'Diet']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39678524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658798
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Translational Research, Biomedical', 'Humans', 'Ethiopia', 'Capacity Building', 'Decision Making', 'Research Personnel', 'Public Health', 'Malawi', 'Uganda', 'Noncommunicable Diseases', 'Cooperative Behavior', 'South Africa', 'Delivery of Health Care', 'Africa', 'Rwanda', 'Administrative Personnel', 'Focus Groups', 'Surveys and Questionnaires', 'Evidence-Based Practice', 'Qualitative Research', 'Health Policy']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39655600
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'White People', 'Female', 'Male', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Risk Factors', 'Black People', 'Africa South of the Sahara', 'Europe', 'Renal Insufficiency, Chronic', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39653570
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Medication Adherence', 'Thailand', 'Islam', 'Middle Aged', 'Noncommunicable Diseases', 'Rural Population', 'Adult', 'Focus Groups', 'Qualitative Research', 'Aged', 'Health Knowledge, Attitudes, Practice', 'Southeast Asian People', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39653567
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Developing Countries', 'Noncommunicable Diseases', 'Research Design', 'Stakeholder Participation', 'Implementation Science', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39645277
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Chronic Disease', 'Diet, Western', 'Gastrointestinal Microbiome', 'Inflammation', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39644320
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delivery of Health Care', 'Russia', 'Primary Health Care', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39644303
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Exercise', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2', 'Obesity']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic cardiovascular diseases', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [1, 2]]
+---------------------------------
+---------------------------------
+PMID: 39632114
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delphi Technique', 'Precision Medicine', 'Noncommunicable Diseases', 'Consensus', 'Female', 'Australia', 'Pregnancy', 'Adult', 'Male', 'Mass Screening', 'Middle Aged', 'Health Priorities']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 1', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39625743
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Surveys and Questionnaires', 'Reproducibility of Results', 'Multicenter Studies as Topic', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622542
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Kenya', 'Food Insecurity', 'Male', 'Female', 'HIV Infections', 'Adult', 'Health Services Accessibility', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Middle Aged', 'Comorbidity', 'Young Adult', 'Food Supply']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39613439
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Systematic Reviews as Topic', 'Sedentary Behavior', 'Meta-Analysis as Topic', 'Prevalence', 'Risk Factors', 'Exercise', 'Adult', 'Africa, Eastern', 'Research Design', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39602608
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Mexico', 'Cost of Illness', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Healthy Aging', 'Mortality', 'Life Expectancy', 'Prevalence', 'Incidence', 'Humans', 'Male', 'Female', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Delivery of Health Care', 'Health Services Needs and Demand']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39595773
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Tanzania', 'Humans', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Adult', 'Rural Population', 'Aged', 'Young Adult', 'Politics', 'Adolescent', 'Treatment Adherence and Compliance', 'Patient Compliance']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39595772
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Refugees', 'Male', 'Female', 'Risk Factors', 'Adult', 'Portugal', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Young Adult', 'Prevalence', 'Middle Aged', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39592985
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Pregnancy', 'Noncommunicable Diseases', 'Middle Aged', 'Prospective Studies', 'Adolescent', 'Male', 'Young Adult', 'Aged', 'Multimorbidity', 'Prenatal Exposure Delayed Effects', 'Aged, 80 and over', 'Smoking', 'Chronic Disease']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39592160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Exercise', 'Aged', 'Noncommunicable Diseases', 'Randomized Controlled Trials as Topic', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39589015
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Male', 'Female', 'South Africa', 'Longitudinal Studies', 'Adult', 'Middle Aged', 'Depressive Disorder, Major', 'Communicable Diseases', 'Mediation Analysis', 'Comorbidity', 'Causality', 'Aged', 'Monte Carlo Method', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39584432
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Noncommunicable Diseases', 'Digital Technology', 'Middle East', 'Telemedicine', 'Mediterranean Region', 'Pandemics', 'SARS-CoV-2', 'Delivery of Health Care']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39563350
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'England', 'Adult', 'Male', 'Middle Aged', 'Schools', 'Female', 'Obesity', 'Public Health', 'Fast Foods', 'Body Mass Index', 'Cross-Sectional Studies', 'Health Care Costs', 'Restaurants', 'Noncommunicable Diseases', 'Quality-Adjusted Life Years', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39552939
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Noncommunicable Diseases', 'HIV Infections', 'Delivery of Health Care, Integrated']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39552340
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Qualitative Research', 'Health Policy', 'Policy Making', 'Stakeholder Participation', 'Interviews as Topic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39548534
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ghana', 'Noncommunicable Diseases', 'Health Policy', 'World Health Organization', 'Focus Groups', 'Stakeholder Participation', 'Policy Making', 'Administrative Personnel', 'Qualitative Research', 'Public Health', 'Health Promotion', 'Health Plan Implementation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39541160
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Primary Health Care', 'Female', 'Male', 'Hypertension', 'Noncommunicable Diseases', 'Diabetes Mellitus, Type 2', 'Ghana', 'Adult', 'Middle Aged', 'Delivery of Health Care, Integrated', 'Quality Improvement', 'Depression', 'Mental Health Services', 'Anxiety', 'Mental Disorders', 'Aged']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39530940
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Cardiovascular Diseases', 'Secondary Prevention']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39522888
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'China', 'Noncommunicable Diseases', 'Aged', 'Middle Aged', 'Male', 'Female', 'Incidence', 'Aged, 80 and over', 'Disability-Adjusted Life Years', 'Health Priorities', 'Global Burden of Disease']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39515219
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Body Mass Index', 'Child', 'Female', 'Pediatric Obesity', 'Victoria', 'COVID-19', 'Health Behavior', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39514466
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Exercise', 'Noncommunicable Diseases', 'Health Promotion', 'Healthy Lifestyle', 'Perception', 'Life Style']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39511525
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Behavior Therapy', 'Health Promotion', 'Life Style', 'Noncommunicable Diseases', 'Systematic Reviews as Topic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39496368
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Dyslipidemias', 'Adult', 'Cross-Sectional Studies', 'Aged', 'Prevalence', 'Sex Factors', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Cohort Studies', 'Age Factors', 'Social Class', 'Health Status Disparities', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39494478
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Risk Factors', 'Cardiovascular Diseases', 'Periodontal Diseases', 'Periodontitis', 'Disease Susceptibility', 'Noncommunicable Diseases', 'Comorbidity']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Chronic respiratory disease']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39478581
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Male', 'Exercise', 'Female', 'Middle Aged', 'Young Adult', 'Africa', 'Adolescent', 'Aged', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Leisure Activities', 'Sociodemographic Factors', 'Surveys and Questionnaires', 'Sex Factors', 'Educational Status']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39478517
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Prospective Studies', 'Diet', 'Risk Factors', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39460821
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ukraine', 'Retrospective Studies', 'Aged', 'Persons with Disabilities', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over', 'Cardiovascular Diseases', 'Armed Conflicts', 'Neoplasms', 'Eastern European People']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458499
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Liver Diseases', 'Probiotics', 'Chronic Disease', 'Noncommunicable Diseases', 'Risk Factors', 'Dietary Fiber', 'Polyphenols', 'Food Ingredients', 'Diet', 'Spices', 'Fatty Acids, Omega-3', 'Dietary Supplements']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458490
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Biodiversity', 'One Health', 'Diet, Healthy', 'Interdisciplinary Research', 'Noncommunicable Diseases', 'Diet, Vegetarian', 'Neoplasms', 'Quality of Life']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39458487
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Bibliometrics', 'Humans', 'Food Labeling', 'Beverages', 'Global Health', 'Nutrition Policy', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39449123
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Life Style', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Inflammatory Bowel Diseases', 'Adult', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Inflammation', 'Age of Onset', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [1, 2]]
+---------------------------------
+---------------------------------
+PMID: 39438053
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Thailand', 'Noncommunicable Diseases', 'Delivery of Health Care', 'SARS-CoV-2', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39437825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Germany', 'Communicable Diseases', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39437462
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Emotions', 'Physician-Patient Relations', 'Communication', 'Decision Making', 'Noncommunicable Diseases', 'Informed Consent']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39436669
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Health Policy', 'Policy Making', 'Administrative Personnel', 'Noncommunicable Diseases', 'Developing Countries']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39432502
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Tuberculosis, Pulmonary', 'Noncommunicable Diseases', 'Gene Regulatory Networks', 'Lung Neoplasms', 'Silicosis', 'Protein Interaction Maps', 'Renal Insufficiency, Chronic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39426077
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Brazil', 'Obesity', 'Male', 'Female', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Hospitalization', 'Body Mass Index', 'Sick Leave', 'Prevalence', 'Cost of Illness', 'Aged']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39421825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Prevalence', 'Incidence', 'Global Health', 'Male', 'Global Burden of Disease', 'Data Analysis', 'World Health Organization', 'Secondary Data Analysis']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39418781
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Female', 'Male', 'Case-Control Studies', 'Middle Aged', 'Adult', 'Occupations', 'Databases, Factual', 'Occupational Exposure', 'Risk Factors', 'Noncommunicable Diseases', 'Myocardial Infarction', 'Sitting Position', 'Diabetes Mellitus', 'Aged', 'Workplace']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418779
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Europe', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Adolescent', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult', 'Global Burden of Disease', 'Child', 'Infant', 'Cost of Illness', 'Child, Preschool', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418251
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Obesity', 'Hypertension', 'Motivation', 'Risk Factors', 'Hyperlipidemias', 'Iran', 'Overweight', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39416942
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Information Dissemination', 'Translational Research, Biomedical']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39411832
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Inflammation', 'Diet', 'Anti-Inflammatory Agents', 'Obesity', 'Chronic Disease', 'Diabetes Mellitus, Type 2', 'Fruit']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 2', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39408274
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malus', 'Noncommunicable Diseases', 'Fruit', 'Nutritive Value', 'Diet', 'Diet, Healthy']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39408232
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Biological Products', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39407160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Nepal', 'Humans', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Services Accessibility', 'Health Care Surveys', 'Health Facilities', 'Female', 'Male']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39404094
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fibrinolytic Agents', 'Subtilisins', 'Antioxidants', 'Oxidative Stress', 'Anti-Inflammatory Agents', 'Animals', 'Inflammation', 'Cardiovascular Diseases', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394102
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Communication Barriers', 'Aged', 'Rural Population', 'South Africa', 'Middle Aged', 'Qualitative Research', 'Interviews as Topic', 'Health Knowledge, Attitudes, Practice', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39391944
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Noncommunicable Diseases', 'Middle Aged', 'Cross-Sectional Studies', 'Prevalence', 'Chronic Disease', 'Beverages', 'Obesity', 'Aged', 'Neoplasms', 'Hypercholesterolemia', 'Young Adult', 'Diet', 'Alcoholic Beverages', 'Feeding Behavior']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39390457
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Satellite Imagery', 'Cardiovascular Diseases', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39388415
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Alcohol Drinking', 'Exercise', 'Meta-Analysis as Topic', 'Noncommunicable Diseases', 'Prevalence', 'Risk Factors', 'Systematic Reviews as Topic', 'Tobacco Use']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39386956
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Guyana', 'Humans', 'Noncommunicable Diseases', 'Qualitative Research', 'Health Policy', 'Government', 'Policy Making']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39379988
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Aged', 'Body Mass Index', 'Cardiovascular Diseases', 'China', 'Neoplasms', 'Age Factors', 'Cause of Death', 'Cohort Studies', 'Proportional Hazards Models', 'Weight Loss', 'Weight Gain', 'Risk Factors', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [2, 3]]
+---------------------------------
+---------------------------------
+PMID: 39374955
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Research', 'Health Priorities', 'Biomedical Research']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39369417
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Tertiary Care Centers', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Nepal', 'Health Knowledge, Attitudes, Practice', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369183
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Female', 'Male', 'Aged', 'Asia, Central', 'Adult', 'Europe, Eastern', 'Noncommunicable Diseases', 'Mortality, Premature', 'Global Health', 'Global Burden of Disease', 'Cardiovascular Diseases', 'Neoplasms', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[3, 1], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39368120
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Middle Aged', 'Adult', 'Male', 'Female', 'Noncommunicable Diseases', 'Natural Language Processing', 'Prevalence', 'Retrospective Studies', 'Hypertension', 'Aged', 'Adolescent', 'Young Adult', 'Diabetes Mellitus', 'Electronic Health Records', 'Obesity', 'Multimorbidity', 'Dyslipidemias', 'Mental Disorders', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39367295
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['India', 'Humans', 'Primary Health Care', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Comprehensive Health Care', 'Health Services Needs and Demand']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39365121
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Dental Research']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39363978
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39356704
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Nepal', 'Adolescent', 'Middle Aged', 'Risk Factors', 'Young Adult', 'Hypertension', 'Obesity', 'Smoking', 'Prevalence', 'Overweight', 'Cluster Analysis', 'Noncommunicable Diseases', 'Health Surveys']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39352154
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malaysia', 'Female', 'Male', 'Adult', 'Cross-Sectional Studies', 'Health Knowledge, Attitudes, Practice', 'Noncommunicable Diseases', 'Middle Aged', 'Young Adult', 'Indigenous Peoples', 'Adolescent', 'Aged']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39352096
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet', 'Obesity', 'Dysbiosis', 'Diabetes Mellitus, Type 2', 'Czech Republic', 'Inflammation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Obesity', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [1, 2]]
+---------------------------------
+---------------------------------
+PMID: 39344941
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Mass Screening', 'Cardiovascular Diseases', 'Oral Health', 'Diabetes Mellitus', 'United Kingdom']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39342408
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Mexico', 'Female', 'Male', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Ambulatory Care', 'Cross-Sectional Studies', 'Young Adult', 'Aged', 'Sex Factors', 'Healthcare Disparities']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39342100
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Female', 'Male', 'Qualitative Research', 'Fisheries', 'Adult', 'Middle Aged', 'Delayed Diagnosis', 'Patient Acceptance of Health Care', 'Interviews as Topic', 'Aged', 'Self Care']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39339734
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet, Mediterranean', 'Dysbiosis', 'Diet, Western', 'Diet, Vegetarian', 'Diet', 'Methylamines', 'Fatty Acids, Volatile']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39338107
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Sex Factors', 'Longitudinal Studies', 'Young Adult', 'Health Surveys', 'Prevalence', 'Socioeconomic Factors', 'Adolescent', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39338026
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Developing Countries', 'Economic Development']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39334103
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Metabolic Syndrome', 'Female', 'Male', 'Aged', 'Cross-Sectional Studies', 'Thailand', 'Multilevel Analysis', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39333314
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Wounds and Injuries', 'Female', 'Male', 'Neoplasms', 'Cardiovascular Diseases', 'Cause of Death', 'Global Health']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39324155
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ethiopia', 'Male', 'Female', 'Adult', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Belief Model', 'Middle Aged', 'Health Behavior', 'Surveys and Questionnaires', 'Health Promotion', 'Young Adult', 'Health Knowledge, Attitudes, Practice', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39308827
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Thailand', 'Particulate Matter', 'Noncommunicable Diseases', 'Female', 'Male', 'Air Pollutants', 'Environmental Exposure', 'Air Pollution', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Adult']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39307578
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Noncommunicable Diseases', 'Postpartum Period', 'Parturition', 'Pregnancy Complications', 'Australia']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735640
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Blood Glucose', 'Class Ia Phosphatidylinositol 3-Kinase', 'Diabetes Mellitus', 'Growth Disorders', 'Hypercalcemia', 'Insulin Resistance', 'Nephrocalcinosis', 'Tooth Abnormalities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39734205
+Predictions: ['Diabetes']
+MeshTerm: ['Administration, Oral', 'Insulin', 'Humans', 'Animals', 'Nanoparticles', 'Blood Glucose', 'Diabetes Mellitus', 'Particle Size', 'Hypoglycemic Agents', 'Drug Carriers', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732905
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Coronary Stenosis', 'Aged', 'Inflammation', 'Coronary Disease', 'Severity of Illness Index', 'Diabetes Mellitus', 'Prognosis', 'Risk Factors', 'Predictive Value of Tests']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sepsis', 'Male', 'Female', 'Aged', 'Middle Aged', 'Calcium', 'Diabetes Mellitus', 'Acid-Base Equilibrium', 'ROC Curve', 'Prognosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732433
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Ethiopia', 'Risk Factors', 'Prevalence', 'Diabetic Angiopathies', 'Male', 'Female', 'Middle Aged', 'Adult', 'Risk Assessment', 'Diabetic Retinopathy', 'Aged', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Diabetes Mellitus', 'Young Adult', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730510
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Nutrition Surveys', 'Heart Diseases', 'Diabetes Mellitus', 'Waist Circumference', 'Body Mass Index', 'Adiposity', 'Risk Factors', 'Adipose Tissue', 'United States']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729755
+Predictions: ['Diabetes']
+MeshTerm: ['Biosensing Techniques', 'Microwaves', 'Humans', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Spectrum Analysis, Raman', 'Spectroscopy, Near-Infrared', 'Equipment Design']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725454
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Kidney Transplantation', 'Male', 'Female', 'Child', 'Adolescent', 'Graft Survival', 'Graft Rejection', 'Diabetes Mellitus', 'Incidence', 'Retrospective Studies', 'Postoperative Complications', 'Survival Analysis', 'Child, Preschool', 'Transplant Recipients', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39723173
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Wound Healing', 'Hypoxia-Inducible Factor 1, alpha Subunit', 'Animals', 'Deferoxamine', 'Diabetes Mellitus', 'Glycine', 'Nanoparticles', 'Isoquinolines']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39721299
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Elasticity Imaging Techniques', 'Pilot Projects', 'Male', 'Female', 'Pancreas', 'Middle Aged', 'Adult', 'Case-Control Studies', 'Aged', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720256
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Extracellular Vesicles', 'Osteoporosis', 'Animals', 'Diabetes Complications', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719762
+Predictions: ['Diabetes']
+MeshTerm: ['Particulate Matter', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Air Pollutants', 'Humans', 'Male', 'Prospective Studies', 'Air Pollution', 'Environmental Exposure', 'China', 'Aged', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719335
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Male', 'Female', 'Adult', 'Multimorbidity', 'Middle Aged', 'Chronic Disease', 'Prevalence', 'Aged', 'Hypertension', 'Obesity', 'Hyperuricemia', 'Dyslipidemias', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Adolescent', 'Rural Population', 'Young Adult', 'Urban Population']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719334
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Female', 'Male', 'Adult', 'Middle Aged', 'Prevalence', 'Hyperuricemia', 'Chronic Disease', 'Hypertension', 'Metabolic Diseases', 'Dyslipidemias', 'Aged', 'Diabetes Mellitus', 'Young Adult', 'Rural Population', 'Adolescent', 'Urban Population', 'Nutrition Surveys']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39719258
+Predictions: ['Diabetes']
+MeshTerm: ['MicroRNAs', 'Humans', 'Wound Healing', 'Animals', 'Signal Transduction', 'Diabetes Complications', 'Diabetes Mellitus', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718458
+Predictions: ['Diabetes']
+MeshTerm: ['Titanium', 'Insulin', 'Animals', 'Hypoglycemic Agents', 'Particle Size', 'Glucose', 'Materials Testing', 'Nanoparticles', 'Surface Properties', 'Biocompatible Materials', 'Diabetes Mellitus', 'Drug Delivery Systems', 'Mice', 'Diabetes Mellitus, Experimental', 'Humans', 'Boronic Acids']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39717102
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Postmenopause', 'Middle Aged', 'Coronary Disease', 'Cholesterol', 'Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Prevalence', 'United States', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39717099
+Predictions: ['Diabetes']
+MeshTerm: ['Bibliometrics', 'Humans', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Inflammasomes', 'Diabetes Mellitus', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716287
+Predictions: ['Diabetes']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Administration, Oral', 'Blood Glucose', 'Cholecalciferol', 'Creatine', 'Diabetes Mellitus', 'Dietary Supplements', 'Iran', 'Muscle Strength', 'Muscle, Skeletal', 'Oxidative Stress', 'Randomized Controlled Trials as Topic', 'Sarcopenia', 'Treatment Outcome', 'Valerates', 'Whey Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716100
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Gastrointestinal Microbiome', 'Kidney Transplantation', 'Postoperative Complications']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715819
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus', 'Egypt', 'Health Knowledge, Attitudes, Practice', 'Patient Education as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39715497
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'COVID-19 Vaccines', 'Antibodies, Neutralizing', 'COVID-19', 'Female', 'HIV Infections', 'Middle Aged', 'Antibodies, Viral', 'Immunoglobulin G', 'SARS-CoV-2', 'Immunity, Humoral', 'Adult', 'Diabetes Mellitus', 'Vaccination', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39714194
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Middle Aged', 'Ischemic Stroke', 'Aged, 80 and over', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Age Factors', 'Blood Glucose', 'Prospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714134
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Saliva', 'Metal-Organic Frameworks', 'Transistors, Electronic', 'Glucose', 'Electrodes', 'Biosensing Techniques', 'Electrochemical Techniques', 'Nickel', 'Particle Size']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709946
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Transcription Factor 7-Like 2 Protein', 'beta Catenin', 'Wnt3A Protein', 'Wnt Signaling Pathway', 'Diabetic Nephropathies', 'Animals', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709804
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vaccination Coverage', 'Cross-Sectional Studies', 'Influenza, Human', 'Male', 'Influenza Vaccines', 'Female', 'Europe', 'Middle Aged', 'Aged', 'Diabetes Mellitus', 'Seasons', 'Vaccination', 'Social Determinants of Health', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709395
+Predictions: ['Diabetes']
+MeshTerm: ['Bayes Theorem', 'Humans', 'Software', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Middle Aged', 'Retrospective Studies', 'Male', 'Adult', 'Female', 'Aged', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Aged, 80 and over', 'Oman', 'Body Mass Index', 'Blood Pressure', 'Young Adult', 'SARS-CoV-2', 'Hypertension', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39707324
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Triglycerides', 'Longitudinal Studies', 'Male', 'Middle Aged', 'Female', 'Blood Glucose', 'China', 'Aged', 'Obesity', 'Risk Factors', 'Insulin Resistance', 'Diabetes Mellitus', 'Proportional Hazards Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707271
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Erectile Dysfunction', 'Ethiopia', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Hospitals, Public', 'Prevalence', 'Risk Factors', 'Diabetes Mellitus', 'Poisson Distribution', 'Young Adult', 'Diabetes Complications', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707185
+Predictions: ['Diabetes']
+MeshTerm: ['Gastrointestinal Microbiome', 'Humans', 'Diabetes Mellitus', 'Protein Interaction Maps', 'Network Pharmacology', 'Proto-Oncogene Proteins c-akt', 'Metabolome', 'PPAR gamma', 'Signal Transduction', 'Metabolomics', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706370
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Glucose Tolerance Test', 'Adult', 'Blood Glucose', 'Hyperglycemia', 'Glycated Hemoglobin', 'Insulin Resistance', 'China', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Aged', 'Insulin', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39705195
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cardio-Renal Syndrome', 'Diabetes Mellitus', 'Metabolic Diseases', 'Practice Guidelines as Topic', 'Renal Insufficiency, Chronic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39703865
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Uric Acid', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Cholesterol, HDL', 'Prospective Studies', 'Adult', 'Biomarkers', 'Diabetes Mellitus', 'Prognosis', 'Aged', 'Nutrition Surveys', 'Cohort Studies', 'Follow-Up Studies', 'Cause of Death', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39703057
+Predictions: ['Diabetes']
+MeshTerm: ['Strongyloides stercoralis', 'Strongyloidiasis', 'Animals', 'Humans', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39702258
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nasopharynx', 'Male', 'Female', 'Case-Control Studies', 'Adult', 'Middle Aged', 'Ghana', 'Diabetes Mellitus', 'Aged', 'Bacteria', 'Young Adult', 'Respiratory Tract Infections']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39702047
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Malaysia', 'Male', 'Mobile Applications', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Telemedicine', 'Self-Management', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Aged', 'Diabetes Mellitus, Type 2', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39700129
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Bangladesh', 'Hyperglycemia', 'Middle Aged', 'Tertiary Care Centers', 'Diabetes Mellitus', 'Prospective Studies', 'Adult', 'Follow-Up Studies', 'Aged', 'SARS-CoV-2', 'Hospitalization', 'Patient Discharge', 'Risk Factors', 'Socioeconomic Factors', 'Hospital Mortality']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39699704
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Hyperglycemia', 'Diabetes Mellitus', 'Risk Factors', 'Atherosclerosis', 'Blood Glucose']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699431
+Predictions: ['Diabetes']
+MeshTerm: ['Quality of Life', 'Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Patient Education as Topic', 'Educational Technology', 'Adult', 'Aged', 'Surveys and Questionnaires', 'Controlled Before-After Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39698032
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Middle Aged', 'Intra-Abdominal Fat', 'Japan', 'Cohort Studies', 'Obesity, Abdominal', 'Adiposity', 'Diabetes Mellitus', 'Risk Factors', 'Blood Glucose', 'Longitudinal Studies', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696515
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Uric Acid', 'C-Reactive Protein', 'Male', 'Female', 'Insulin Resistance', 'Triglycerides', 'Cholesterol, HDL', 'Adult', 'Middle Aged', 'Risk Factors', 'Sex Factors', 'Diabetes Mellitus', 'Mediation Analysis', 'Biomarkers', 'Sex Characteristics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696157
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'China', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Health Services Needs and Demand', 'Diabetes Mellitus', 'Young Adult', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Mass Screening', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696101
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Middle Aged', 'Health Surveys', 'Young Adult', 'Risk Factors', 'Sex Factors', 'Undiagnosed Diseases', 'Adolescent', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695649
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Diabetes Mellitus', 'Neural Networks, Computer', 'Middle Aged', 'Female', 'Male', 'Models, Statistical', 'Support Vector Machine', 'Adult', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39695632
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Malawi', 'Qualitative Research', 'Female', 'Diabetes Mellitus', 'Focus Groups', 'Health Knowledge, Attitudes, Practice', 'Adult', 'Male', 'Nursing Staff, Hospital', 'Tertiary Care Centers', 'Clinical Competence', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39695379
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cluster Analysis', 'Regression Analysis', 'Models, Statistical', 'Algorithms', 'Diabetes Mellitus', 'Data Interpretation, Statistical']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693799
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Prediabetic State', 'Incidence', 'Middle Aged', 'Depression', 'Triglycerides', 'United States', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Diabetes Mellitus', 'Aged', 'Insulin Resistance']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39693267
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Renal Dialysis', 'Kidney Failure, Chronic', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Blood Glucose', 'Precision Medicine', 'Hypoglycemic Agents', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39692388
+Predictions: ['Diabetes']
+MeshTerm: ['Adolescent', 'Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Young Adult', 'Arabs', 'Chronic Disease', 'Diabetes Mellitus', 'Health Status Disparities', 'Israel', 'Jews', 'Obesity', 'Prevalence', 'Retrospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39686708
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Glycated Hemoglobin', 'Time Factors', 'Biometry', 'Models, Statistical', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686687
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Colorectal Neoplasms', 'Metabolic Syndrome', 'Middle Aged', 'Early Detection of Cancer', 'Male', 'Europe', 'Female', 'Adult', 'Diabetes Mellitus', 'North America', 'Age Factors', 'Risk Factors', 'Mass Screening', 'Risk Assessment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39684919
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cyclin-Dependent Kinase Inhibitor p21', 'Diabetes Mellitus', 'Animals', 'Metabolic Diseases', 'Insulin Resistance', 'DNA Damage']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39684905
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Cats', 'Insulin', 'Signal Transduction', 'Muscle, Skeletal', 'Biomarkers', 'Liver', 'Cat Diseases', 'Male', 'Pancreas', 'Diabetes Mellitus', 'Receptor, Insulin', 'Female', 'Insulin Resistance', 'Insulin Receptor Substrate Proteins', 'Glucagon-Like Peptide 1', 'Incretins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39684868
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nanostructures', 'Pancreatic Diseases', 'Animals', 'Drug Delivery Systems', 'Pancreatic Neoplasms', 'Diabetes Mellitus', 'Drug Carriers', 'Pancreas']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39684468
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Apolipoprotein C-III', 'Cardiovascular Diseases', 'Animals', 'Diabetes Mellitus', 'Metabolic Diseases', 'Lipoproteins', 'Triglycerides', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39684379
+Predictions: ['Diabetes']
+MeshTerm: ['Leptin', 'Humans', 'Obesity', 'Metabolic Diseases', 'Diabetes Mellitus', 'Female', 'Male', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39684343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Acetamides', 'Diabetes Mellitus', 'Depression', 'Antidepressive Agents', 'Depressive Disorder, Major', 'Blood Glucose', 'Glycated Hemoglobin', 'Treatment Outcome', 'Naphthalenes']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39683638
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ferritins', 'Male', 'Middle Aged', 'Female', 'Mongolia', 'Cross-Sectional Studies', 'Cardiovascular Diseases', 'Meat', 'Diet', 'Heart Disease Risk Factors', 'Adult', 'Biomarkers', 'Aged', 'Diabetes Mellitus', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Blood Glucose', 'Independent Living', 'Italy', 'Fatty Acids, Unsaturated', 'Diabetes Mellitus', 'Aged, 80 and over', 'Diet', 'Blood Pressure', 'Cardiometabolic Risk Factors', 'Fatty Acids, Omega-3', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683416
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Dietary Supplements', 'Female', 'Nutrition Surveys', 'Male', 'Middle Aged', 'Adult', 'United States', 'Diabetes Mellitus', 'Motivation', 'Aged', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681993
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Dogs', 'Dog Diseases', 'Fatty Liver', 'Tomography, X-Ray Computed', 'Male', 'Liver', 'Female', 'Diabetic Ketoacidosis', 'Diabetes Mellitus', 'Retrospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39681831
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Fear', 'Feeding Behavior', 'Diabetes Mellitus', 'Cognitive Behavioral Therapy', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681614
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Polyradiculoneuropathy, Chronic Inflammatory Demyelinating', 'Male', 'Diabetic Neuropathies', 'Female', 'Middle Aged', 'Ultrasonography', 'Diagnosis, Differential', 'Aged', 'Neural Conduction', 'ROC Curve', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39681186
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Risk Factors', 'Nutrition Surveys', 'United States', 'Dementia', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Obesity', 'Smoking', 'Hypertension', 'Alcohol Drinking']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39680279
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Recurrence', 'Computer Simulation', 'Models, Statistical', 'Proportional Hazards Models', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39680083
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Bursitis', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Aged', 'Dilatation', 'Range of Motion, Articular', 'Shoulder Joint', 'Treatment Outcome', 'Pain Measurement', 'Adult', 'Diabetes Mellitus', 'Diabetes Complications']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39678201
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Food Insecurity', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Adult', 'Social Class', 'Family Characteristics', 'Aged', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39676179
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Holistic Health', 'Mind-Body Therapies', 'Diabetes Mellitus', 'Neurosecretory Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675484
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Adult', 'Aged', 'Body Mass Index', 'Cause of Death', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39674445
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Arsenic', 'Homeostasis', 'Animals', 'Glucose', 'Diabetes Mellitus', 'Microbiota', 'Gastrointestinal Microbiome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673957
+Predictions: ['Diabetes']
+MeshTerm: ['Acetone', 'Zinc Oxide', 'Biosensing Techniques', 'Humans', 'Optical Fibers', 'Diabetes Mellitus', 'Biomarkers', 'Limit of Detection', 'Breath Tests', 'Equipment Design', 'Volatile Organic Compounds', 'Fiber Optic Technology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39673919
+Predictions: ['Diabetes', 'Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Incidence', 'Adult', 'Aged', 'Diabetes Mellitus', 'New Zealand', 'Young Adult', 'Registries', 'Cohort Studies', 'Adolescent', 'Aged, 80 and over', 'Child']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673498
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Female', 'Self Care', 'Primary Health Care', 'Middle Aged', 'Aged', 'Follow-Up Studies', 'Longitudinal Studies', 'Hypertension', 'Coronary Artery Disease', 'Diabetes Mellitus', 'Adult', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39672014
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Artificial Intelligence', 'Machine Learning', 'Deep Learning', 'Telemedicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39671511
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Male', 'Female', 'Cross-Sectional Studies', 'Hypertension', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Exercise', 'Coronary Artery Disease', 'Prospective Studies', 'Young Adult', 'Cardiometabolic Risk Factors', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39671417
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Female', 'Male', 'COVID-19', 'Adult', 'Diabetes Mellitus', 'Middle Aged', 'Puerto Rico', 'COVID-19 Vaccines', 'Aged', 'Surveys and Questionnaires', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39670874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Liver Diseases', 'Aged', 'Analgesics, Opioid', 'United States', 'Liver Cirrhosis', 'Chronic Disease', 'Cohort Studies', 'Liver Neoplasms', 'Diabetes Mellitus', 'Logistic Models', 'Arthritis', 'Health Surveys', 'Chronic Pain', 'Hepatitis, Viral, Human', 'Renal Insufficiency, Chronic', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39670442
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Animals', 'Lipocalin-2', 'Diabetic Neuropathies', 'Oxidative Stress', 'Molecular Targeted Therapy', 'Quality of Life', 'Cognitive Dysfunction', 'Drug Development', 'Blood-Brain Barrier', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39670363
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Computational Biology', 'Diabetes Mellitus', 'Benchmarking', 'Blood Glucose', 'Wearable Electronic Devices', 'Smartphone', 'Mobile Applications', 'Language', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39667764
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Diabetic Foot', 'Osteomyelitis', 'Diabetes Mellitus', 'Anti-Infective Agents, Local']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666834
+Predictions: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Aged', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39666732
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Insulin', 'Aged', 'Diabetes Mellitus', 'Hospitalization', 'Frail Elderly', 'Hypoglycemic Agents', 'Female', 'Male', 'Hospitals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666445
+Predictions: ['Diabetes']
+MeshTerm: ['Bone Regeneration', 'Humans', 'Drug Delivery Systems', 'Animals', 'Diabetes Mellitus', 'Neovascularization, Physiologic', 'Osteogenesis', 'Biocompatible Materials']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39666397
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'COVID-19', 'Invasive Pulmonary Aspergillosis', 'Retrospective Studies', 'Case-Control Studies', 'Aged', 'Severity of Illness Index', 'SARS-CoV-2', 'Smoking', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665943
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vascular Stiffness', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Middle Aged', 'Hypertension', 'Glomerular Filtration Rate', 'Aged', 'Biomarkers', 'Albuminuria', 'Kidney', 'Cross-Sectional Studies', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665157
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Protein Glutamine gamma Glutamyltransferase 2', 'Transglutaminases', 'Male', 'Female', 'Aged', 'Vasodilation', 'Endothelium, Vascular', 'GTP-Binding Proteins', 'Arteries', 'Vascular Resistance', 'Sex Factors', 'Diabetes Mellitus', 'Vasodilator Agents', 'Enzyme Inhibitors', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736556
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Information Seeking Behavior', 'Early Detection of Cancer', 'Qualitative Research', 'Neoplasms', 'Needs Assessment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736554
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Middle East', 'Male', 'Africa, Northern', 'Neoplasms', 'Incidence', 'Female', 'Child', 'Adolescent', 'Child, Preschool', 'Infant', 'Health Status Disparities', 'Socioeconomic Factors', 'Young Adult', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736368
+Predictions: ['Cancer']
+MeshTerm: ['Ferroptosis', 'Photochemotherapy', 'Humans', 'Photosensitizing Agents', 'Reactive Oxygen Species', 'Neoplasms', 'Lipid Peroxidation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736217
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Bacteria', 'Surface Properties', 'Animals', 'Biological Products', 'Neoplasms', 'Biological Therapy', 'Biocompatible Materials']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736186
+Predictions: ['Cancer']
+MeshTerm: ['Spectrum Analysis, Raman', 'Humans', 'N-Acetylneuraminic Acid', 'Biomarkers, Tumor', 'Neoplasms', 'Animals', 'Polysaccharides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736017
+Predictions: ['Cancer']
+MeshTerm: ['Mesenchymal Stem Cells', 'Neoplasms', 'Gene Expression', 'Humans', 'HeLa Cells', 'MCF-7 Cells', 'A549 Cells', 'Reference Values', 'Genes, Essential', 'Real-Time Polymerase Chain Reaction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735992
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cell Line, Tumor', 'Transcriptome', 'Neoplasms', 'Gene Fusion', 'Sequence Analysis, RNA', 'Gene Expression Profiling', 'Oncogene Proteins, Fusion']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735988
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Warburg Effect, Oncologic', 'Neoplasms', 'Glycolysis', 'Animals', 'Oxidative Phosphorylation', 'Energy Metabolism', 'Mitochondria', 'Cell Proliferation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Diabetes', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735979
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aneuploidy', 'Machine Learning', 'Neoplasms', 'Myristoylated Alanine-Rich C Kinase Substrate', 'Membrane Proteins', 'Gene Expression Regulation, Neoplastic', 'Cell Proliferation', 'Cytoskeletal Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735978
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunity, Innate', 'Tumor-Associated Macrophages', 'Neoplasms', 'Tumor Microenvironment', 'Phenotype', 'Animals', 'Epigenesis, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Disease Progression', 'Heterogeneous-Nuclear Ribonucleoprotein Group C', 'Neoplasms', 'Tumor Microenvironment', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Liver Neoplasms', 'Cell Line, Tumor', 'Cell Proliferation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735681
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Nanoparticles', 'Drug Delivery Systems', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735536
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'CD28 Antigens', 'Mice', 'Cell Adhesion Molecules', 'Neoplasms', 'Lymphocyte Activation', 'Cell Line, Tumor', 'Immunotherapy, Adoptive', 'T-Lymphocytes', 'Receptors, Antigen, T-Cell', 'Xenograft Model Antitumor Assays', 'Female', 'Nectins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735534
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Immunotherapy', 'Neoplasms', 'Combined Modality Therapy', 'Humans', 'Ultrasonic Therapy', 'Disease Models, Animal']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734197
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', '5-Methylcytosine', 'DNA Methylation', 'DNA Transposable Elements', 'Epigenesis, Genetic', 'Nanopore Sequencing', 'Nanopores', 'Neoplasms', 'Sequence Analysis, DNA']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733511
+Predictions: ['Cancer']
+MeshTerm: ['Protein-Arginine N-Methyltransferases', 'Humans', 'Enzyme Inhibitors', 'Neoplasms', 'Antineoplastic Agents', 'Molecular Structure', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733440
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Occupational Exposure', 'Occupational Diseases', 'Carcinogens']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733439
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Antigen Presentation', 'Immunotherapy', 'Neoplasms', 'Antigens, Neoplasm', 'Immune Checkpoint Inhibitors', 'HLA Antigens']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733429
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Registries', 'Female', 'Male', 'Tunisia', 'Neoplasms', 'Incidence', 'Middle Aged', 'Adult', 'Aged', 'Adolescent', 'Young Adult', 'Infant, Newborn', 'Infant', 'Child', 'Child, Preschool', 'Follow-Up Studies', 'Prognosis', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733076
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Mitochondria', 'Gene Expression Regulation, Neoplastic', 'Biomarkers, Tumor', 'Prognosis', 'Genomics', 'Cell Proliferation', 'Kaplan-Meier Estimate']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732961
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Transcription Factors', 'Proto-Oncogene Proteins c-ets', 'Prognosis', 'Neoplasms', 'Gene Expression Regulation, Neoplastic', 'Tumor Microenvironment', 'Adenovirus E1A Proteins', 'DNA-Binding Proteins', 'Kaplan-Meier Estimate', 'Gene Expression Profiling']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732661
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Fever of Unknown Origin', 'Prospective Studies', 'Female', 'Male', 'China', 'Middle Aged', 'Adult', 'Aged', 'Neoplasms', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732529
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Animals', 'Signal Transduction', 'Cytokines', 'Immunotherapy', 'Molecular Targeted Therapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732497
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Fear', 'Schizophrenia', 'Psychotic Disorders', 'Neoplasms', 'Psychosocial Intervention', 'Neoplasm Recurrence, Local', 'Research Design']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732363
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'T-Lymphocytes', 'Cell Movement', 'Immunotherapy, Adoptive', 'Tumor Microenvironment', 'Receptors, Chimeric Antigen', 'Neoplasms', 'Microfluidics', 'Lab-On-A-Chip Devices', 'Cell Line, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mitochondria', 'Neoplasms', 'Cytoskeleton', 'Animals', 'Autophagy', 'Apoptosis', 'Cell Proliferation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732132
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Animals', 'Complement Activation', 'Tumor Microenvironment', 'Complement C4', 'Biomarkers, Tumor', 'Immunotherapy', 'Complement C4b', 'Peptide Fragments']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731918
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Immunotherapy', 'Tumor Microenvironment', 'CD8-Positive T-Lymphocytes', 'Leukocytes, Mononuclear', 'Male', 'Female', 'Receptors, Antigen, T-Cell', 'Neoplasms', 'Middle Aged', 'Transcriptome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731836
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'MicroRNAs', 'Hydrogels', 'HeLa Cells', 'DNA', 'Doxorubicin', 'PTEN Phosphohydrolase', 'Cell Survival', 'Neoplasms', 'Apoptosis Regulatory Proteins', 'RNA-Binding Proteins', 'Antineoplastic Agents', 'Gene Expression Regulation, Neoplastic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731788
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Antineoplastic Agents', 'Peptides', 'Animals', 'Drug Development', 'Molecular Structure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731736
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Neoplasms', 'Genomics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731651
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Quality of Life', 'Female', 'Male', 'Hydrocortisone', 'Qigong', 'Middle Aged', 'Neoplasms', 'Aged', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731471
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Endoplasmic Reticulum Chaperone BiP', 'Single-Domain Antibodies', 'Recombinant Fusion Proteins', 'Immunotoxins', 'Apoptosis', 'Exotoxins', 'Animals', 'Heat-Shock Proteins', 'Cell Line, Tumor', 'Camelus', 'Breast Neoplasms', 'Female', 'ADP Ribose Transferases', 'Bacterial Toxins', 'HEK293 Cells', 'Pseudomonas aeruginosa Exotoxin A', 'Neoplasms', 'MCF-7 Cells', 'Virulence Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Organoids', 'Neoplasms', 'Tumor Microenvironment', 'Precision Medicine', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731135
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Mutation', 'Tumor Microenvironment', 'Histone Demethylases', 'Biomarkers, Tumor', 'Prognosis', 'Immunotherapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731127
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'RNA Editing', 'Neoplasms', 'Inosine', 'Adenosine', 'Animals', 'Gene Expression Regulation, Neoplastic', 'Adenosine Deaminase', 'Biomarkers, Tumor', 'MicroRNAs']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731088
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Palliative Care', 'Aged', 'Middle Aged', 'Neoplasms', 'Terminal Care', 'Aged, 80 and over', 'Finland', 'Hospital Costs', 'Ambulatory Care Facilities', 'Registries', 'Adult', 'Ambulatory Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731019
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Algorithms', 'Deep Learning', 'Gene Expression Profiling', 'Computational Biology', 'Databases, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730977
+Predictions: ['Cancer']
+MeshTerm: ['Copper', 'Humans', 'Metal Nanoparticles', 'Green Chemistry Technology', 'Neoplasms', 'Antineoplastic Agents', 'Drug Resistance, Neoplasm']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730928
+Predictions: ['Cancer']
+MeshTerm: ['Doxorubicin', 'Animals', 'Mice', 'Humans', 'Cell Line, Tumor', 'Immunotherapy', 'Neoplasms', 'Drug Delivery Systems', 'Nanoparticles', 'Tumor Microenvironment', 'Biomimetics', 'Imiquimod', 'Serotonin', 'Antineoplastic Agents', 'Combined Modality Therapy', 'Mice, Inbred BALB C']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730772
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Female', 'Male', 'Adult', 'Middle Aged', 'Return to Work', 'Social Stigma', 'Social Support', 'Adolescent', 'Young Adult', 'Adaptation, Psychological', 'Health Literacy', 'Neoplasms', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730706
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Denmark', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Cohort Studies', 'Environmental Pollution', 'Young Adult', 'Child, Preschool', 'Infant, Newborn', 'Environmental Exposure', 'Adolescent', 'Child', 'Infant', 'Aged, 80 and over', 'Neoplasms', 'Cause of Death']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730699
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Machine Learning', 'Antineoplastic Agents', 'Precision Medicine', 'Neoplasms', 'Cell Line, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730637
+Predictions: ['Cancer']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'China', 'Drug-Related Side Effects and Adverse Reactions', 'East Asian People', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730328
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Mice', 'Immunotherapy', 'Humans', 'Immune Checkpoint Inhibitors', 'Female', 'Fimbriae Proteins', 'Programmed Cell Death 1 Receptor', 'Neoplasms', 'Mice, Inbred C57BL', 'Bacteria', 'Cell Line, Tumor', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730320
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Social Support', 'Neoplasms', 'Qualitative Research', 'Social Adjustment', 'Social Interaction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Diabetes', 'Chronic respiratory disease']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729909
+Predictions: ['Cancer']
+MeshTerm: ['Reactive Oxygen Species', 'Humans', 'Neoplasms', 'Magnetic Fields', 'Animals', 'Mitochondria', 'Electromagnetic Fields']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729775
+Predictions: ['Cancer']
+MeshTerm: ['Granulocyte-Macrophage Colony-Stimulating Factor', 'Animals', 'RNA, Small Interfering', 'Immunotherapy', 'Mice', 'Macrophages', 'Cellular Reprogramming', 'Mice, Inbred C57BL', 'Neoplasms', 'Tumor Microenvironment', 'Cell Line, Tumor', 'Humans', 'Tumor-Associated Macrophages', 'Female', 'RAW 264.7 Cells']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729479
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Single-Cell Analysis', 'Lymphocytes, Tumor-Infiltrating', 'Neoplasms', 'RNA-Seq', 'T-Lymphocytes, Regulatory', 'Transcriptome', 'Gene Expression Profiling', 'Protein Interaction Maps', 'Sequence Analysis, RNA', 'Gene Regulatory Networks', 'Gene Expression Regulation, Neoplastic', 'Single-Cell Gene Expression Analysis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729462
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Maytansine', 'Immunoconjugates', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'Folate Receptor 1', 'Progression-Free Survival']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729341
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Animals', 'Mice', 'Neoplasms', 'Drug Carriers', 'Cell Line, Tumor', 'Macromolecular Substances', 'Protein Binding', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729330
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Child', 'Neoplasms', 'Gait Disorders, Neurologic', 'Antineoplastic Agents', 'Gait', 'Range of Motion, Articular', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729314
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Radiation Oncology', 'Radiologists', 'Peer Review', 'Peer Review, Health Care', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727835
+Predictions: ['Cancer']
+MeshTerm: ['Biosensing Techniques', 'Humans', 'Drug Discovery', 'Neoplasms', 'Antineoplastic Agents', 'Fluorescence', 'Fluorescence Resonance Energy Transfer', 'Signal Transduction', 'Luminescent Measurements', 'Pentacyclic Triterpenes']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727719
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neutropenia', 'Antineoplastic Agents', 'Anemia', 'Thrombocytopenia', 'Neoplasms', 'Intercellular Signaling Peptides and Proteins', 'Granulocyte Colony-Stimulating Factor', 'Receptors, Thrombopoietin', 'Cytopenia']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727703
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Early Detection of Cancer', 'Female', 'Male', 'Aged', 'Middle Aged', 'Neoplasms', 'Oncology Nursing', 'Health Services Accessibility', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727701
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Frailty', 'Neoplasms', 'Retrospective Studies', 'Aged, 80 and over', 'Prognosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727700
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Neoplasms', 'Patient Reported Outcome Measures', 'Psychometrics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727690
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Empathy', 'Neoplasms', 'Nurse-Patient Relations', 'Oncology Nursing', 'Qualitative Research']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727688
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Neoplasms', 'Cross-Sectional Studies', 'Male', 'Female', 'Malnutrition', 'Aged, 80 and over', 'Nutritional Status', 'Surveys and Questionnaires', 'Nutrition Assessment', 'Diet', 'Symptom Burden']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727686
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Exercise', 'Exercise Therapy', 'Neoplasms', 'Quality of Life', 'Randomized Controlled Trials as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727684
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Methadone', 'Neuralgia', 'Cancer Pain', 'Analgesics, Opioid', 'Neoplasms', 'Quality of Life']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727683
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Cancer Survivors', 'Male', 'Adult', 'Adolescent', 'Neoplasms', 'Young Adult', 'Fertility', 'Cohort Studies', 'Surveys and Questionnaires', 'Canada', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Health Literacy', 'Fear', 'Neoplasms', 'Neoplasm Recurrence, Local', 'Disease Progression']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727182
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patents as Topic', 'Ataxia Telangiectasia Mutated Proteins', 'Neoplasms', 'Antineoplastic Agents', 'Animals', 'Protein Kinase Inhibitors', 'Drug Development', 'Molecular Targeted Therapy', 'DNA Breaks, Double-Stranded']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726750
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cerebral Hemorrhage', 'Retrospective Studies', 'Middle Aged', 'Propensity Score', 'Risk Factors', 'Neoplasms', 'Aged', 'Prognosis', 'Neutrophils', 'Hemoglobins', 'China', 'ROC Curve']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726590
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Cell Movement', 'Immunotherapy', 'Mesenchymal Stem Cell Transplantation', 'Mesenchymal Stem Cells', 'Neoplasms', 'Tumor Microenvironment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726589
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Bibliometrics', 'Methylation', 'Tumor Microenvironment', 'RNA', 'Lymphocytes, Tumor-Infiltrating', 'Animals', 'RNA Methylation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726379
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Lipid Metabolism', 'Neoplasms', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726369
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Reactive Oxygen Species', 'Glutathione', 'Photochemotherapy', 'Animals', 'Tumor Microenvironment', 'Nanostructures', 'Antineoplastic Agents', 'Photosensitizing Agents', 'Antioxidants', 'Immunotherapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726308
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Connective Tissue Diseases', 'Vasculitis', 'Immunologic Factors', 'Immunomodulating Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726258
+Predictions: ['Cancer']
+MeshTerm: ['Vaccinia virus', 'Humans', 'Animals', 'Cell Line, Tumor', 'Mice', 'Mice, Nude', 'Virus Replication', 'Oncolytic Viruses', 'Oncolytic Virotherapy', 'RNA-Binding Proteins', 'Neoplasms', 'Xenograft Model Antitumor Assays', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726139
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Retrospective Studies', 'Female', 'Male', 'Japan', 'Middle Aged', 'Exercise', 'Smartphone', 'Databases, Factual', 'Aged', 'Adult', 'Cohort Studies', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726004
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Taiwan', 'Qualitative Research', 'Guideline Adherence', 'Practice Guidelines as Topic', 'Neoplasms', 'Quality of Health Care', 'Case Managers', 'Medical Oncology', 'Interviews as Topic', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Noncommunicable Diseases', 'Chronic respiratory disease', 'Diabetes']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[0, 2], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710468
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Allergens', 'Adult', 'Adolescent', 'Child', 'China', 'Middle Aged', 'Child, Preschool', 'Cross-Sectional Studies', 'Young Adult', 'Infant', 'Aged', 'Immunoglobulin E', 'Aged, 80 and over', 'Animals', 'Skin Diseases', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707265
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Quality of Life', 'China', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Incineration', 'Adult', 'Surveys and Questionnaires', 'Residence Characteristics', 'Aged', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nitrogen Dioxide', 'Republic of Korea', 'Cross-Over Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Air Pollutants', 'Young Adult', 'Adolescent', 'Child, Preschool', 'Child', 'Air Pollution', 'Infant', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39694698
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Scotland', 'Male', 'Female', 'Air Pollution', 'Prospective Studies', 'Middle Aged', 'Particulate Matter', 'Hospitalization', 'Environmental Exposure', 'Adult', 'Nitrogen Dioxide', 'Aged', 'Air Pollutants', 'Sulfur Dioxide', 'Cardiovascular Diseases', 'Longitudinal Studies', 'Young Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39694558
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nebulizers and Vaporizers', 'Child', 'Administration, Inhalation', 'Respiratory Tract Diseases', 'Asthma', 'Home Care Services', 'Practice Guidelines as Topic', 'Respiratory Therapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684326
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'Mast Cells', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684250
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Endocrine Disruptors', 'Humans', 'Respiratory System', 'Animals', 'Oxidative Stress', 'Respiratory Tract Diseases', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661886
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Child', 'Male', 'Homeostasis', 'Minerals', 'Vitamins', 'Ascorbic Acid', 'Respiratory Tract Diseases', 'Vitamin D', 'Recurrence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661885
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Male', 'Antioxidants', 'Female', 'Ascorbic Acid', 'Interleukin-6', 'Glutathione Peroxidase', 'Hydrocortisone', 'Ferritins', 'Tumor Necrosis Factor-alpha', 'Respiratory Tract Diseases', 'Acute Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39659714
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Workplace', 'Occupational Diseases', 'Respiratory Tract Diseases', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39643329
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Adult', 'Prospective Studies', 'Nitrogen Dioxide', 'China', 'Aged', 'Environmental Exposure', 'Incidence', 'Musculoskeletal Diseases', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Air Pollutants', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39642570
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mustard Gas', 'Male', 'Biomarkers', 'Cross-Sectional Studies', 'Adult', 'Chemical Warfare Agents', 'Veterans', 'Middle Aged', 'Respiratory Tract Diseases', 'Iran']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39640901
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Plants, Medicinal', 'Humans', 'Tanzania', 'Male', 'Female', 'Respiratory Tract Diseases', 'Adult', 'Middle Aged', 'Health Knowledge, Attitudes, Practice', 'Medicine, African Traditional', 'Aged', 'Phytotherapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633457
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Respiratory Tract Diseases', 'Nanoparticles', 'Microplastics', 'Inhalation Exposure', 'Air Pollutants', 'Animals', 'Respiratory System']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39633418
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Hospitalization', 'Child', 'Male', 'Female', 'Air Pollutants', 'Cross-Over Studies', 'Child, Preschool', 'COVID-19', 'Respiratory Tract Diseases', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Infant', 'Sulfur Dioxide', 'SARS-CoV-2', 'Adolescent', 'Nitrogen Dioxide', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39632975
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Lung Neoplasms', 'Genome-Wide Association Study', 'Ketone Bodies', 'Polymorphism, Single Nucleotide', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39620702
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Climate Change', 'Air Pollution', 'Particulate Matter', 'Environmental Exposure', 'Ozone', 'Respiratory Tract Diseases', 'Air Pollutants']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39617287
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'Female', 'Hypersensitivity', 'Male', 'France', 'Dietary Exposure', 'Child', 'Cohort Studies', 'Child, Preschool', 'Pesticides', 'Respiratory Tract Diseases', 'Environmental Pollutants']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39615506
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Cardiovascular Diseases', 'Environmental Exposure', 'Fires', 'Global Burden of Disease', 'Global Health', 'Health Impact Assessment', 'Mortality', 'Ozone', 'Particulate Matter', 'Respiratory Tract Diseases', 'Wildfires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39608993
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Australia', 'Adult', 'Adolescent', 'Hospitalization', 'Aged', 'Young Adult', 'Child', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Infant, Newborn', 'Aged, 80 and over', 'Sex Distribution', 'Age Distribution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39607106
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Brazil', 'Hospitalization', 'Adolescent', 'Spatio-Temporal Analysis', 'Child', 'Respiratory Tract Diseases', 'Young Adult', 'Adult', 'Socioeconomic Factors', 'Child, Preschool', 'Female', 'Male', 'Middle Aged', 'Aged', 'Cluster Analysis', 'Infant', 'Urban Population', 'Space-Time Clustering', 'Cities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39603392
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Asia', 'Chronic Disease', 'Quality of Life', 'Qigong', 'Yoga', 'Tai Ji', 'Resistance Training', 'Respiratory Tract Diseases', 'Exercise Therapy', 'Exercise Tolerance', 'Practice Guidelines as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39578996
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Adult', 'Aged', 'China', 'Aged, 80 and over', 'Hand Strength', 'Respiratory Tract Diseases', 'Muscle, Skeletal', 'Muscle Strength', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578779
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Signal Transduction', 'Animals', 'Smad5 Protein', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39570415
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nutrition Surveys', 'Middle Aged', 'Male', 'Female', 'Adult', 'Aged', 'Antioxidants', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Aged, 80 and over', 'Infant', 'Chronic Disease', 'Child', 'Diet', 'United States', 'Respiratory Tract Diseases', 'Risk Factors', 'Mortality', 'Respiration Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570333
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Vietnam', 'Humans', 'Hospitalization', 'Male', 'Female', 'Middle Aged', 'Temperature', 'Aged', 'Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Young Adult', 'Infant', 'Cardiovascular Diseases', 'Child, Preschool', 'Child', 'Poverty', 'Infant, Newborn', 'Aged, 80 and over', 'Risk']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Chronic respiratory disease']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39566943
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fukushima Nuclear Accident', 'Japan', 'Retrospective Studies', 'Male', 'Female', 'Aged', 'Middle Aged', 'Adult', 'Cause of Death', 'Young Adult', 'Adolescent', 'Child', 'Aged, 80 and over', 'Child, Preschool', 'Infant', 'Disasters', 'Earthquakes', 'Respiratory Tract Diseases', 'Cardiovascular Diseases', 'Suicide', 'Infant, Newborn', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39566532
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Exosomes', 'Humans', 'Respiratory Tract Diseases', 'Animals', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39550655
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Particulate Matter', 'Middle Aged', 'Aged', 'Adult', 'Cohort Studies', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Neoplasms', 'Air Pollution', 'Air Pollutants', 'Cardiovascular Diseases', 'Italy', 'Rivers', 'Young Adult', 'Proportional Hazards Models', 'Manufacturing and Industrial Facilities', 'Adolescent', 'Cause of Death', 'Industry', 'Nitrogen Oxides', 'Child, Preschool', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39544058
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Volatile Organic Compounds', 'Air Pollution, Indoor', 'Pulmonary Disease, Chronic Obstructive', 'Respiratory Tract Diseases', 'Asthma', 'Sick Building Syndrome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39543369
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bipolar Disorder', 'Pulmonary Disease, Chronic Obstructive', 'Asthma', 'Prevalence', 'Female', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Male', 'Pneumonia', 'Odds Ratio', 'Respiration Disorders', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39537245
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cell Communication', 'Extracellular Vesicles', 'Animals', 'Lung', 'Lung Diseases', 'Signal Transduction', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39530346
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollution', 'Environmental Exposure', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Environmental Monitoring', 'Air Filters', 'Child', 'Exercise', 'Aged', 'Air Pollutants', 'Masks']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39521464
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nepal', 'Child', 'Risk Factors', 'Female', 'Research Design', 'Male', 'Longitudinal Studies', 'Adult', 'Adolescent', 'Parents', 'Child, Preschool', 'Air Pollution', 'Respiratory Tract Diseases', 'Cohort Studies', 'Life Style', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39515807
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'RNA, Untranslated', 'RNA, Long Noncoding', 'Epigenesis, Genetic', 'MicroRNAs', 'Respiratory Tract Diseases', 'RNA, Circular']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39513278
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biomarkers', 'Female', 'Air Pollutants', 'Respiratory Tract Diseases', 'Chronic Disease', 'Environmental Exposure', 'Air Pollution', 'Acute Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39505076
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Particulate Matter', 'Republic of Korea', 'Cardiovascular Diseases', 'Humans', 'Air Pollutants', 'Air Pollution', 'Hospitalization', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39503908
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Occupational Injuries', "Workers' Compensation", 'Seasons', 'Middle Aged', 'Occupational Diseases', 'Emergency Responders', 'Mental Disorders', 'Firefighters', 'Victoria', 'Musculoskeletal Diseases', 'Wildfires', 'Respiratory Tract Diseases', 'Young Adult', 'Police']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39502059
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Sounds', 'Respiratory Tract Diseases', 'Auscultation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494780
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Antioxidants', 'Diet', 'Hypersensitivity', 'Child, Preschool', 'Inflammation', 'Male', 'Birth Cohort', 'Multimorbidity', 'Adult', 'Maternal Nutritional Physiological Phenomena', 'Infant', 'Respiratory Tract Diseases', 'Asthma', 'Prenatal Exposure Delayed Effects', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494537
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Caregivers', 'Chronic Disease', 'Patient Education as Topic', 'Health Literacy', 'Palliative Care', 'Advance Care Planning', 'Decision Making, Shared', 'Learning', 'Respiratory Tract Diseases', 'Health Knowledge, Attitudes, Practice', 'Adaptation, Psychological', 'Decision Making']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494092
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Europe', 'Nitrogen Dioxide', 'Ozone', 'Respiratory Tract Diseases', 'World Health Organization']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39493756
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Computational Biology', 'User-Computer Interface', 'Databases, Factual', 'Respiratory Tract Diseases', 'Software']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39489274
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Republic of Korea', 'Humans', 'Female', 'Male', 'Temperature', 'Middle Aged', 'Seasons', 'Aged', 'Cardiovascular Diseases', 'Mortality', 'Adult', 'Child', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Infant', 'Aged, 80 and over', 'Respiratory Tract Diseases', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39477760
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Spain', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Adolescent', 'Young Adult', 'Cause of Death', 'Aged, 80 and over', 'Child', 'Child, Preschool', 'Infant', 'Respiratory Tract Diseases', 'Mortality', 'Pandemics', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39472952
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'South Africa', 'Quality of Life', 'Child, Preschool', 'Infant', 'Male', 'Female', 'Delphi Technique', 'Surveys and Questionnaires', 'Respiratory Tract Diseases', 'Infant, Newborn', 'Psychometrics', 'Respiratory Tract Infections']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39468133
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'South Africa', 'Female', 'Male', 'Eggs', 'Gastrointestinal Diseases', 'Infant Nutritional Physiological Phenomena', 'Respiratory Tract Diseases', 'Incidence', 'Morbidity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39466470
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bone Morphogenetic Protein 2', 'Signal Transduction', 'Animals', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Hypertension, Pulmonary']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39465586
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Comorbidity', 'Patient Readmission', 'Length of Stay', 'Middle Aged', 'Retrospective Studies', 'Heart Failure', 'Prospective Studies', 'Hypertension', 'Myocardial Ischemia', 'Pulmonary Heart Disease', 'Aged, 80 and over', 'Prevalence', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462582
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Ozone', 'Japan', 'Particulate Matter', 'Humans', 'Air Pollutants', 'Cities', 'Aged', 'Female', 'Mortality', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'Air Pollution', 'Hot Temperature', 'Temperature', 'Respiratory Tract Diseases', 'Environmental Exposure', 'Young Adult', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[0, 4], [2, 2]]
+---------------------------------
+---------------------------------
+PMID: 39462039
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Gastrointestinal Microbiome', 'Genome-Wide Association Study', 'Lung', 'Respiratory Tract Diseases', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39457304
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'Dust', 'Adult', 'Male', 'Occupational Exposure', 'Ethiopia', 'Female', 'Paper', 'Middle Aged', 'Cough', 'Prevalence', 'Young Adult', 'Respiratory Tract Diseases', 'Respiratory Sounds', 'Surveys and Questionnaires', 'Occupational Diseases', 'Industry', 'Dyspnea', 'Air Pollutants, Occupational']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39453518
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'Aged', 'Female', 'Male', 'Cross-Over Studies', 'Altitude', 'Air Pollutants', 'Respiratory Tract Diseases', 'China', 'Extreme Weather', 'Aged, 80 and over', 'Middle Aged', 'Cities', 'Air Pollution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39444957
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Adolescent', 'Adult', 'Child', 'Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Middle Aged', 'Heating', 'Prospective Studies', 'Female', 'Male', 'Respiratory Tract Diseases', 'Proportional Hazards Models', 'China', 'Smoking', 'Risk Factors', 'Adult', 'Air Pollution, Indoor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39443904
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Netherlands', 'Female', 'Male', 'Adult', 'Middle Aged', 'Smoke', 'Wood', 'Air Pollutants', 'Environmental Exposure', 'Aged', 'Particulate Matter', 'Respiratory Tract Diseases', 'Glucose']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39439241
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Switzerland', 'Humans', 'History, 20th Century', 'History, 21st Century', 'History, 17th Century', 'History, 16th Century', 'Respiratory Tract Diseases', 'Male', 'Female', 'History, 18th Century', 'History, 19th Century', 'Adult', 'Middle Aged', 'Respiration Disorders', 'Aged', 'Child', 'Adolescent', 'Air Pollution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436432
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Prospective Studies', 'Child', 'Respiratory Tract Diseases', 'Male', 'Female', 'Air Pollutants', 'Particulate Matter', 'Air Pollution', 'Child Health', 'Environmental Exposure', 'Air Pollution, Indoor', 'Adolescent', 'Environmental Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39435892
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'United Kingdom', 'Particulate Matter', 'Male', 'Female', 'Middle Aged', 'Aged', 'Proportional Hazards Models', 'Environmental Exposure', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Mortality', 'Time Factors', 'Air Pollution', 'Air Pollutants', 'Adult', 'Cohort Studies', 'Machine Learning', 'Respiratory Tract Diseases', 'UK Biobank']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39434079
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Air Pollution', 'Respiratory Tract Diseases', 'Risk Assessment', 'Air Pollutants', 'Reproducibility of Results']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424664
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollution', 'Particulate Matter', 'Air Pollutants', 'Meteorological Concepts', 'Respiratory Tract Diseases', 'Iran', 'Sulfur Dioxide', 'Nitrogen Dioxide', 'Random Forest']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39424373
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Surveys and Questionnaires', 'Child', 'Quality Improvement', 'Documentation', 'Preoperative Care', 'Pediatrics', 'Respiration Disorders', 'Respiratory Tract Diseases', 'Preoperative Period']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39423508
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Phthalic Acids', 'Male', 'Female', 'Child', 'China', 'Cardiovascular Diseases', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Anthropometry', 'Dust', 'Schools', 'Endocrine Disruptors', 'Risk Assessment', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39421822
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ambulances', 'China', 'Middle Aged', 'Cardiovascular Diseases', 'Temperature', 'Aged', 'Adult', 'Emergency Medical Services', 'Respiratory Tract Diseases', 'Seasons']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Chronic respiratory disease']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39419650
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Omalizumab', 'Anti-Inflammatory Agents, Non-Steroidal', 'Antibodies, Anti-Idiotypic', 'Asthma, Aspirin-Induced', 'Anti-Allergic Agents', 'Drug Hypersensitivity', 'Respiratory Tract Diseases', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39419227
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Microbiota', 'Air Microbiology', 'Middle Aged', 'Cross-Sectional Studies', 'China', 'Prevalence', 'Adult', 'Female', 'Aged', 'Air Pollution, Indoor', 'Respiratory Tract Diseases', 'Male', 'Plants', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39410863
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Africa', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Infections', 'Respiratory Tract Diseases', 'Female', 'Risk Factors', 'Family Characteristics', 'Child', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39408565
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'TRPV Cation Channels', 'Receptors, Adrenergic, beta-2', 'Animals', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39406209
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Northern Territory', 'Animals', 'Smoke', 'Turtles', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39395132
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Sarcopenia', 'Genome-Wide Association Study', 'Body Mass Index', 'Respiratory Tract Diseases', 'Male', 'Pulmonary Disease, Chronic Obstructive', 'Female', 'Smoking', 'Pneumoconiosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39394579
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Japan', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Tobacco Products', 'Surveys and Questionnaires', 'Internet', 'Smoking', 'Hot Temperature', 'Aged', 'Young Adult', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39391315
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Liquid-Liquid Extraction', 'Signal Transduction', 'Phase Separation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39389134
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Particulate Matter', 'Aged', 'Humans', 'Air Pollutants', 'Risk Assessment', 'China', 'Air Pollution', 'Environmental Exposure', 'Fossil Fuels', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39384295
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Rain', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Global Health', 'Cause of Death', 'Mortality', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Chronic respiratory disease']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39384238
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Observational Studies as Topic', 'Respiratory Tract Diseases', 'Systematic Reviews as Topic', 'Walking']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[0, 3], [2, 3]]
+---------------------------------
+---------------------------------
+PMID: 39374569
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Saliva', 'Breath Tests', 'Respiratory Tract Diseases', 'Exhalation', 'Electrochemical Techniques', 'Equipment Design']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39370174
+Predictions: ['Chronic respiratory disease', 'Mental Health']
+MeshTerm: ['Humans', 'Comorbidity', 'Mental Disorders', 'Respiratory Tract Diseases', 'Quality of Life', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39370173
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mental Disorders', 'Tuberculosis, Pulmonary', 'Tuberculosis', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39366894
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Prenatal Exposure Delayed Effects', 'Smoking', 'Child', 'Infant, Newborn', 'Respiratory Tract Diseases', 'Adolescent', 'Maternal Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39364938
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'United Kingdom', 'Veterinary Medicine', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39362458
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Residence Characteristics', 'Aged', 'Mortality', 'Cities', 'Middle Aged', 'Aging', 'Cardiovascular Diseases', 'Male', 'Female', 'Neoplasms', 'Respiratory Tract Diseases', 'Adult', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39362179
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Pilot Projects', 'Aged', 'Male', 'Chronic Disease', 'Female', 'Exercise Therapy', 'Prospective Studies', 'Problem Solving', 'Physical Functional Performance', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39353528
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Taiwan', 'Humans', 'Cardiovascular Diseases', 'Climate Change', 'Temperature', 'Middle Aged', 'Aged', 'Adult', 'Respiratory Tract Diseases', 'Male', 'Female', 'Seasons', 'Vulnerable Populations', 'Young Adult', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Chronic respiratory disease']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39354585
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Chemoradiotherapy', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39352090
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Slovakia', 'Occupational Diseases', 'Adult', 'Male', 'Female', 'Prevalence', 'Middle Aged', 'Agriculture', 'Occupational Exposure', 'Manufacturing Industry', 'Asthma, Occupational', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39348213
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['China', 'Air Pollutants', 'Humans', 'Bayes Theorem', 'Particulate Matter', 'Air Pollution', 'Respiratory Tract Diseases', 'Sulfur Dioxide', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338131
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Brazil', 'Humans', 'Male', 'Female', 'Mortality', 'Middle Aged', 'Adult', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Cardiovascular Diseases', 'Temperature', 'Hot Temperature', 'Aged, 80 and over', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39334540
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Italy', 'Child', 'Pesticides', 'Female', 'Male', 'Adolescent', 'Environmental Exposure', 'Surveys and Questionnaires', 'Risk Factors', 'Health Status', 'Logistic Models', 'Agriculture', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39332351
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Wildfires', 'Smoke', 'Occupational Exposure', 'Firefighters', 'Respiratory Tract Diseases', 'Respiratory Function Tests']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39331188
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'COVID-19', 'Glioma', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Adult', 'Aged', 'Brain Neoplasms', 'SEER Program', 'Young Adult', 'Pandemics', 'Respiratory Tract Diseases', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39323116
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Vietnam', 'Male', 'Female', 'Prospective Studies', 'Infant', 'Infant, Newborn', 'Intensive Care Units, Pediatric', 'Infant, Premature', 'Critical Illness', 'Respiration, Artificial', 'Length of Stay', 'Child, Preschool', 'Respiratory Tract Diseases', 'Infant, Premature, Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316790
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'China', 'Male', 'Female', 'Middle Aged', 'Cohort Studies', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases', 'Aged', 'Air Pollutants', 'Air Pollution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39316681
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Mechanotransduction, Cellular', 'Stress, Mechanical', 'Extracellular Matrix', 'Respiratory Mechanics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39314792
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Air Pollutants', 'Particulate Matter', 'Respiratory Function Tests', 'Air Pollution', 'Nitrogen Dioxide', 'Environmental Exposure', 'Chronic Disease', 'Male', 'Forced Expiratory Volume', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39304964
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bronchoscopy', 'Infant, Newborn', 'Retrospective Studies', 'Male', 'Female', 'Fiber Optic Technology', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39293035
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Tract Diseases', 'Pediatrics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Aged', 'Depression', 'Longitudinal Studies', 'Social Support', 'Cognition', 'Risk Factors', 'Anxiety']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733208
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Female', 'Male', 'Cross-Sectional Studies', 'Apolipoproteins B', 'Cholesterol', 'Brazil', 'Genetic Predisposition to Disease', 'Risk Factors', 'Cardiovascular Diseases', 'Dyslipidemias', 'Apolipoprotein B-100', 'Polymorphism, Genetic', 'Alleles', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Air Pollution', 'Air Pollutants', 'Iran', 'Meteorological Concepts', 'Particulate Matter', 'Seasons', 'Sulfur Dioxide', 'Climate Change', 'Weather', 'Random Forest']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733154
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Triglycerides', 'Arthritis', 'Blood Glucose', 'Nutrition Surveys', 'Risk Factors', 'Adult', 'Aged', 'Proportional Hazards Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733150
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Ethiopia', 'Humans', 'Cardiovascular Diseases', 'Drugs, Essential', 'Cross-Sectional Studies', 'Health Services Accessibility', 'Drugs, Generic', 'Drug Costs']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733137
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Manganese', 'Cardiovascular Diseases', 'Adult', 'Male', 'Female', 'Middle Aged', 'United States', 'Cross-Sectional Studies', 'Nutrition Surveys', 'Aged', 'Young Adult', 'Risk Factors', 'Bayes Theorem']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732966
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Dyslipidemias', 'Humans', 'Turkey', 'Delphi Technique', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cholesterol, LDL', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'PCSK9 Inhibitors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Young Adult', 'Longitudinal Studies', 'Male', 'Adolescent', 'Female', 'Cardiovascular Diseases', 'Universities', 'Cardiometabolic Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732415
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Troponin T', 'Aged', 'Male', 'Female', 'Follow-Up Studies', 'Natriuretic Peptide, Brain', 'Cardiovascular Diseases', 'Aged, 80 and over', 'Biomarkers', 'Peptide Fragments']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731858
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Myocardial Ischemia', 'Wearable Electronic Devices', 'Randomized Controlled Trials as Topic', 'Myocardial Infarction', 'Hospitalization', 'Cardiovascular Diseases', 'Stroke']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731821
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Cardiovascular Diseases', 'Saliva', 'Lab-On-A-Chip Devices', 'Immunoassay', 'Interleukin-6', 'C-Reactive Protein', 'Equipment Design', 'Procalcitonin', 'Limit of Detection']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bacteria', 'Biomarkers', 'Blood Glucose', 'Cardiometabolic Risk Factors', 'Cardiovascular Diseases', 'China', 'Cholesterol, HDL', 'Cholesterol, LDL', 'Cohort Studies', 'East Asian People', 'Feces', 'Gastrointestinal Microbiome', 'Indoleacetic Acids', 'Indoles', 'Propionates', 'Triglycerides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731058
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'United States', 'Middle Aged', 'Depression', 'Adult', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Aged', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730958
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Triglycerides', 'Female', 'Middle Aged', 'Cardiovascular Diseases', 'Blood Glucose', 'Aged', 'Retrospective Studies', 'Cross-Sectional Studies', 'Atherosclerosis', 'China', 'Risk Factors', 'Longitudinal Studies', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730871
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Genome-Wide Association Study', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Carotid Intima-Media Thickness', 'Genetic Pleiotropy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730843
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Electrocardiography', 'Male', 'Female', 'Middle Aged', 'Smoking', 'Adult', 'Cotinine', 'Arrhythmias, Cardiac', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730815
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chile', 'Male', 'Female', 'Exercise', 'Adult', 'Middle Aged', 'Depression', 'Cardiometabolic Risk Factors', 'Obesity', 'Prevalence', 'Overweight', 'Risk Factors', 'Aged', 'Young Adult', 'Cardiovascular Diseases', 'Waist Circumference', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730152
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Cross-Sectional Studies', 'Dyslipidemias', 'Middle Aged', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Diet', 'Aged, 80 and over', 'Logistic Models', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729514
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Tobacco Smoke Pollution', 'Global Burden of Disease', 'Male', 'Female', 'Disability-Adjusted Life Years', 'Middle Aged', 'Global Health', 'Adult', 'Aged', 'Quality-Adjusted Life Years']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729492
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'United States', 'Nutrition Surveys', 'Bayes Theorem', 'Environmental Exposure', 'Metals', 'Aged', 'Proportional Hazards Models', 'Cause of Death', 'Lead']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729424
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Polymorphism, Single Nucleotide', 'Genome-Wide Association Study', 'Male', 'Female', 'Phenotype', 'Norway', 'Genetic Predisposition to Disease', 'Cardiovascular Diseases', 'Phenomics', 'Middle Aged', 'Linkage Disequilibrium', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727377
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Middle Aged', 'Blood Pressure', 'Renal Dialysis', 'Crystalloid Solutions', 'Osmotic Pressure', 'Aged', 'Kidney Failure, Chronic', 'Cardiovascular Diseases', 'Risk Factors', 'Adult', 'ROC Curve']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Glycogen Synthase Kinase 3 beta', 'Cardiovascular Diseases', 'Wnt Signaling Pathway', 'Animals', 'Adipose Tissue', 'beta Catenin', 'Metabolic Syndrome', 'Metabolic Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725697
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Klotho Proteins', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prospective Studies', 'Adult', 'Nutrition Surveys', 'Aged', 'Cause of Death', 'Depression', 'Proportional Hazards Models', 'Mortality', 'Depressive Disorder']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725339
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'beta Catenin', 'Cardiovascular Diseases', 'Receptors, Notch', 'Wnt Signaling Pathway']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724625
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Ukraine', 'Middle Aged', 'Emergency Responders', 'Adult', 'Military Personnel', 'Electrocardiography', 'Radiation Exposure', 'Occupational Exposure', 'Hypertension', 'Echocardiography', 'Cardiovascular System', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[0, 2], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39724119
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mental Disorders', 'Male', 'Adult', 'Female', 'Middle Aged', 'Schizophrenia', 'Mass Screening', 'Healthy Lifestyle', 'Occupational Therapy', 'Cardiovascular Diseases', 'Pilot Projects', 'Risk Factors', 'Physical Therapy Modalities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723980
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Delphi Technique', 'Fatty Liver', 'Mass Screening', 'Metabolic Syndrome', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723782
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Risk Factors', 'SARS-CoV-2', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723699
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Female', 'Male', 'Middle Aged', 'Obesity', 'Cohort Studies', 'Cardiovascular Diseases', 'China', 'Body Mass Index', 'Adult', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39722803
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Testosterone', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Triglycerides', 'Nutrition Surveys', 'Insulin Resistance', 'Cholesterol, HDL', 'Aged', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722158
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Comorbidity', 'Kidney Diseases', 'Masked Hypertension', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721760
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Administration, Inhalation', 'Bronchodilator Agents', 'Cardiovascular Diseases', 'England', 'Adrenal Cortex Hormones', 'Middle Aged', 'Heart Failure', 'Acute Coronary Syndrome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721361
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Sleep Apnea, Obstructive', 'Humans', 'Cardiovascular Diseases', 'China', 'Consensus', 'Risk Factors', 'Delphi Technique', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719690
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Neoplasms', 'Cardiovascular Diseases', 'Prognosis', 'Risk Factors', 'Antineoplastic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Noncommunicable Diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719674
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Regenerative Medicine', 'Myocytes, Cardiac', 'Carbon', 'Cell Differentiation', 'Animals', 'Quantum Dots', 'Pluripotent Stem Cells', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719571
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Nutrition Surveys', 'Adult', 'United States', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Young Adult', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719456
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Neoplasms', 'Male', 'Female', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Middle Aged', 'Risk Factors', 'Aged', 'Nutrition Surveys', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719431
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asian', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prevalence', 'Adult', 'Aged', 'Sleep', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Cross-Sectional Studies', 'Health Surveys', 'Sleep Duration']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719421
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Assessment', 'Risk Factors', 'Potassium', 'Aged, 80 and over', 'Arrhythmias, Cardiac', 'Retrospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719405
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Adult', 'Nutrition Surveys', 'Chronic Disease', 'United States', 'Cardiovascular Diseases', 'Aged', 'Health Status', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719315
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Neoplasms', 'Male', 'Nephrectomy', 'Female', 'Middle Aged', 'Propensity Score', 'Aged', 'Retrospective Studies', 'Cardiovascular Diseases', 'Risk Factors', 'Carcinoma, Renal Cell']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39718412
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Tea', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'China', 'Aged, 80 and over', 'Longitudinal Studies', 'Proportional Hazards Models', 'Longevity', 'Mortality', 'Middle Aged', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39717783
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Cardiovascular Diseases', 'Heart Disease Risk Factors', 'Periodontitis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717036
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Sweden', 'Middle Aged', 'Female', 'Cardiovascular Diseases', 'Aged', 'Aged, 80 and over', 'Incidence', 'Surveys and Questionnaires', 'Risk Factors', 'Sugar-Sweetened Beverages', 'Diet', 'Dietary Sugars']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717032
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Obesity', 'Middle Aged', 'Adult', 'Retrospective Studies', 'Neoplasms', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Phenotype', 'Proportional Hazards Models', 'Risk Factors', 'Cause of Death', 'Aged', 'Age Factors', 'Body Mass Index', 'Kaplan-Meier Estimate']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Cardiovascular diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715781
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Prospective Studies', 'Risk Factors', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Fatty Liver', 'Cause of Death', 'Metabolic Diseases', 'Nutrition Surveys']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715477
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Aged', 'Ischemic Attack, Transient', 'Middle Aged', 'Cardiovascular Diseases', 'Netherlands', 'Cohort Studies', 'Risk Factors', 'Aged, 80 and over', 'Stroke']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39714500
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Potassium', 'Risk Factors', 'Cardiovascular Diseases', 'Electrocardiography']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Patient Care Team', 'Chronic Disease', 'Italy', 'Multimorbidity', 'Telemedicine', 'Cardiology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714021
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Exercise', 'Life Style', 'Metabolic Syndrome', 'Primary Health Care', 'Risk Factors', 'Weight Loss']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39713140
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neoplasms', 'Lipid Peroxidation', 'Reperfusion Injury', 'Cardiovascular Diseases', 'Inflammatory Bowel Diseases', 'Alzheimer Disease', 'Iron', 'Acute Kidney Injury', 'Stroke', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39712314
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Incidence', 'Microclimate', 'China', 'Cerebrovascular Disorders', 'Meteorological Concepts', 'Temperature', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711839
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'South Africa', 'Tertiary Care Centers', 'Retrospective Studies', 'Adult', 'Male', 'Middle Aged', 'Magnetic Resonance Imaging', 'Young Adult', 'Aged', 'Cardiovascular Diseases', 'Adolescent', 'Hospitals, Public', 'Contrast Media', 'Aged, 80 and over', 'Heart Diseases', 'Child', 'Child, Preschool', 'Medical Audit']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710789
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Neovascularization, Pathologic', 'Neoplasms', 'Inflammation', 'Cardiovascular Diseases', 'Animals', 'Neurodegenerative Diseases', 'Angiogenesis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710702
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neurodegenerative Diseases', 'Cardiovascular Diseases', 'Neoplasms', 'Animals', 'Molecular Targeted Therapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710576
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Middle Aged', 'Adult', 'Cross-Over Studies', 'Inflammation', 'Endotoxemia', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Diet', 'Polyphenols', 'Edible Grain', 'Feces', 'Bacteria', 'Fatty Acids, Omega-3', 'Dietary Fiber', 'Intestines']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710465
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypersensitivity', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709856
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'China', 'Middle Aged', 'Ambulances', 'Aged', 'Adult', 'Emergency Medical Dispatch', 'Temperature', 'Incidence', 'Adolescent', 'Child']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Diabetes']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709650
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Energy Metabolism', 'Lipid Metabolism', 'Signal Transduction', 'Stearic Acids', 'Stearoyl-CoA Desaturase']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709627
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Drug Therapy, Combination', 'Hyperlipidemias', 'Hypolipidemic Agents', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cardiovascular Diseases', 'Cholesterol, LDL', 'Animals', 'Triglycerides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709554
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Feces', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Proteomics', 'Middle Aged', 'Heart Failure', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Proteome', 'Bacteria', 'Risk Factors', 'Diet']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709369
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asthma', 'Male', 'Female', 'Adult', 'Middle Aged', 'Nutrition Surveys', 'Inflammation', 'Cause of Death', 'Cardiovascular Diseases', 'Aged', 'United States', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709364
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'Postoperative Complications', 'Cardiovascular Diseases', 'Abdomen', 'Risk Assessment', 'Nomograms', 'Retrospective Studies', 'Aged, 80 and over', 'Risk Factors', 'Predictive Value of Tests', 'ROC Curve', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Insulin Resistance', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Sex Factors', 'Risk Factors', 'Cause of Death', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39708590
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Sleep Apnea, Obstructive', 'Cardiovascular Diseases', 'Quality of Life', 'Heart Disease Risk Factors', 'Sex Factors', 'Risk Factors', 'Prevalence', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39708140
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Osteoarthritis', 'Middle Aged', 'Aged', 'Heart Disease Risk Factors', 'Prevalence', 'Hand Joints', 'Comorbidity', 'Cardiovascular Diseases', 'Hand Strength', 'Quality of Life', 'Risk Factors', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707266
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Vascular Stiffness', 'Breathing Exercises', 'Randomized Controlled Trials as Topic', 'Pulse Wave Analysis', 'Resistance Training', 'Cardiovascular Diseases', 'Exercise', 'Quality of Life', 'Respiratory Muscles', 'Aged', 'Ankle Brachial Index', 'Male', 'Exercise Therapy', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Mental Health', 'Biomedical Research', 'Delphi Technique', 'Mental Health Services']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726658
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Exercise', 'Self Report', 'Adolescent', 'Students', 'China', 'Child', 'Schools', 'Mental Health', 'Surveys and Questionnaires', 'Health Surveys', 'Sedentary Behavior', 'Depression']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726069
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Substance-Related Disorders', 'Middle Aged', 'Heart Transplantation', 'Heart-Assist Devices', 'Adult', 'Databases, Factual', 'Incidence', 'Mental Health', 'Quality of Life', 'Aged', 'Mental Disorders', 'Waiting Lists', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725888
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Pregnancy', 'Adult', 'Cross-Sectional Studies', 'Pregnancy, Unplanned', 'Parents', 'Mental Health', 'Reproductive Techniques, Assisted', 'Young Adult', 'Stress, Psychological', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725758
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'Pandemics', 'SARS-CoV-2', 'Japan', 'Male', 'Suicide', 'Female', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724226
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Germany', 'Cross-Sectional Studies', 'Mental Health', 'Adult', 'Surveys and Questionnaires', 'Young Adult', 'Stress, Psychological', 'Students', 'Occupational Stress', 'Universities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724125
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Stress Disorders, Post-Traumatic', 'Survivors', 'Middle Aged', 'Adult', 'Anxiety', 'Risk Factors', 'Depression', 'Prevalence', 'Aged', 'Comorbidity', 'Sex Factors', 'Sleep Initiation and Maintenance Disorders', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724115
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Empathy', 'Global Health', 'Mental Health', 'Existentialism', 'Warfare']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724057
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Female', 'Humans', 'Male', 'Young Adult', 'COVID-19', 'Depression', 'East Asian People', 'Mental Health', 'Pandemics', 'Republic of Korea', 'Social Media']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722713
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Child, Preschool', 'Cross-Sectional Studies', 'China', 'Screen Time', 'Surveys and Questionnaires', 'Mental Health', 'Parents', 'Psychological Well-Being']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722022
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Loneliness', 'Adolescent', 'Male', 'Female', 'Cross-Sectional Studies', 'Urban Population', 'Young Adult', 'Adult', 'Mental Health', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720811
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Mental Health', 'China', 'Middle Aged', 'Adult', 'Emotions', 'Surveys and Questionnaires', 'Aged', 'Adolescent', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719817
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Hospitals, General', 'Psychiatry', 'Mental Health Services', 'Japan', 'Psychiatric Department, Hospital', 'Referral and Consultation', 'Mental Disorders', 'Surveys and Questionnaires', 'Mental Health', 'Psychiatrists']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719755
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Humans', 'Ozone', 'Mental Health', 'Nitrogen Dioxide', 'Male', 'Female', 'Child', 'China', 'Air Pollutants', 'Environmental Exposure', 'Schools', 'Cross-Sectional Studies', 'Air Pollution', 'Students']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719653
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Capital', 'Students', 'Social Media', 'Japan', 'Universities', 'Male', 'Female', 'Young Adult', 'Mental Health', 'Adult', 'Loneliness', 'Health Status', 'Personality', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716066
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Quality of Life', 'Pakistan', 'Myocardial Infarction', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Health Status', 'Risk Factors', 'Mental Health', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715637
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Biomedical Research', 'Circadian Rhythm', 'Information Dissemination', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715235
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Colombia', 'Emigrants and Immigrants', 'Venezuela', 'Female', 'Male', 'United States', 'Child', 'Adult', 'Child Welfare', 'Parents', 'Stress, Psychological', 'Surveys and Questionnaires', 'Adolescent', 'Middle Aged', 'Mental Health', 'Child, Preschool']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Ukraine', 'Mental Health Services', 'Health Services Accessibility', 'Pandemics', 'Quality of Health Care', 'SARS-CoV-2', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714844
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Aged', 'England', 'Middle Aged', 'Longitudinal Studies', 'Personal Satisfaction', 'Cohort Studies', 'Depression', 'Mental Health', 'Health Status', 'Social Support', 'Health Behavior', 'Cluster Analysis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713741
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Substance-Related Disorders', 'Social Stigma', 'Sexism', 'Mental Health', 'Racism', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'China', 'Mental Health', 'Internet Use', 'Middle Aged', 'Residence Characteristics', 'Aged, 80 and over', 'Independent Living', 'Surveys and Questionnaires', 'Internet', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712299
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Mental Health', 'Aged', 'Social Environment', 'Female', 'Male', 'Middle Aged', 'Residence Characteristics', 'Surveys and Questionnaires', 'Neighborhood Characteristics', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711409
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Pilots', 'Aerospace Medicine', 'Mental Health', 'United States']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711341
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aerospace Medicine', 'Mental Health', 'Delphi Technique', 'Aviation', 'Research', 'Societies, Medical', 'Occupational Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711028
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Refugees', 'Syria', 'Psychological Distress', 'Female', 'Jordan', 'Male', 'Follow-Up Studies', 'Child', 'Single-Blind Method', 'Stress Disorders, Post-Traumatic', 'Depression', 'Stress, Psychological', 'Behavior Therapy', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710807
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Cross-Sectional Studies', 'Female', 'Adult', 'Male', 'Workplace Violence', 'Burnout, Professional', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Nursing Staff, Hospital', 'Taiwan']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Quality of Life', 'Romania', 'Male', 'Female', 'Prospective Studies', 'Tuberculosis, Multidrug-Resistant', 'Middle Aged', 'Adult', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Surveys and Questionnaires', 'Aged', 'Cohort Studies', 'Longitudinal Studies', 'Psychological Well-Being']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710684
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Ontario', 'Pregnancy', 'Retrospective Studies', 'Adult', 'Social Class', 'Pregnancy Complications', 'Anxiety', 'Depression', 'Young Adult', 'Residence Characteristics', 'Mental Health', 'Cohort Studies', 'Educational Status', 'Mental Disorders', 'Income']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710634
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'United Kingdom', 'Adult', 'Cross-Sectional Studies', 'Mental Health', 'Domestic Violence', 'Middle Aged', 'Social Support', 'Resilience, Psychological', 'Pandemics', 'Young Adult', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710627
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Literacy', 'Adolescent', 'Anxiety', 'Depression', 'Mental Health', 'Health Education']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710497
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'China', 'Aged', 'Risk Factors', 'Middle Aged', 'Depression', 'Longitudinal Studies', 'Health Status', 'Mental Health', 'Aged, 80 and over', 'Rural Population', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710338
+Predictions: ['Cancer', 'Mental Health']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Adolescent', 'Young Adult', 'Female', 'Male', 'Internet-Based Intervention', 'Mindfulness', 'Adult', 'Emotional Regulation', 'Quality of Life', 'Mental Health', 'Depression', 'Neoplasms', 'Research Design', 'Adaptation, Psychological', 'Digital Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709458
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Child', 'Humans', 'Adaptation, Psychological', 'Child Behavior', 'Mental Disorders', 'Mental Health', 'Multicenter Studies as Topic', 'Norway', 'Parents', 'Pragmatic Clinical Trials as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709340
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Mental Health', 'Research Design', 'Outcome Assessment, Health Care', 'Mental Disorders', 'Treatment Outcome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709337
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sufentanil', 'Male', 'Cough', 'Female', 'Ketamine', 'Middle Aged', 'Prospective Studies', 'Adult', 'Anesthesia, General', 'Anesthetics, Intravenous', 'Mental Health', 'Double-Blind Method']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709183
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Health Promotion']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709182
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'United States', "Women's Health", 'Racial Groups', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708948
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Asthma', 'Metals, Heavy', 'Male', 'Adult', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Republic of Korea', 'Mental Health', 'Suicidal Ideation', 'Environmental Exposure', 'Air Pollutants', 'Young Adult', 'Depression', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707472
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'General Practitioners', 'Self Care', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Burnout, Professional', 'Surveys and Questionnaires', 'Mental Health', 'Anxiety', 'SARS-CoV-2', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706574
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Pregnancy', 'Perinatal Care', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706486
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Binge Drinking', 'Male', 'Middle Aged', 'Spain', 'Longitudinal Studies', 'Health Behavior', 'Mental Health', 'Health Status', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706485
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Support', 'Male', 'Female', 'Longitudinal Studies', 'Adult', 'Stress, Psychological', 'Middle Aged', 'Depressive Disorder, Major', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Young Adult', 'Aged', 'Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706484
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Ukraine', 'Armed Conflicts', 'Refugees']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39705174
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Humans', 'Male', 'Young Adult', 'Adaptation, Psychological', 'Black or African American', 'HIV Infections', 'Interviews as Topic', 'Mental Health', 'Qualitative Research', 'Sexual and Gender Minorities', 'Social Stigma']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39704003
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Diagnostic and Statistical Manual of Mental Disorders', 'International Classification of Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703482
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Adolescent', 'Mental Health', 'Reproductive Health', 'Sexual Behavior', 'Sexual Health', 'Menstruation', 'Health Knowledge, Attitudes, Practice']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703180
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Qualitative Research', 'Male', 'Female', 'Pharmacists', 'Adult', 'England', 'Middle Aged', 'Focus Groups', 'Mental Health', 'Community Pharmacy Services', 'Depression', 'Interviews as Topic', 'Professional Role', 'Anxiety']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Lebanon', 'Primary Health Care', 'Social Stigma', 'Qualitative Research', 'Mental Disorders', 'Male', 'Female', 'Attitude of Health Personnel', 'Health Personnel', 'Adult', 'Interviews as Topic', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39701588
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'COVID-19', 'Mental Health', 'Female', 'Male', 'Mental Health Services', 'United States', 'Child', 'Emotions', 'Telemedicine', 'Social Skills', 'School Mental Health Services']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Machine Learning', 'Mental Health', 'Adult', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700155
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Mental Health', 'United Kingdom', 'Adolescent', 'Young Adult', 'Loneliness', 'Adult', 'Sex Factors', 'Pandemics', 'SARS-CoV-2', 'Longitudinal Studies', 'Aged', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699982
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Italy', 'Prospective Studies', 'COVID-19', 'Internship and Residency', 'Male', 'Female', 'Adult', 'Depression', 'Anxiety', 'Mental Health', 'Stress Disorders, Post-Traumatic', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699544
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Chikungunya Fever', 'Arthralgia', 'Middle Aged', 'Adult', 'Chronic Disease', 'Mental Health', 'Cross-Sectional Studies', 'Depression', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699441
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Brazil', 'Transgender Persons', 'Health Services Accessibility', 'Male', 'Female', 'Primary Health Care', 'National Health Programs', 'Interviews as Topic', 'Health Personnel', 'Health Services for Transgender Persons', 'Qualitative Research', 'Adult', 'Health Policy', 'Mental Health', 'Transsexualism', 'Young Adult', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699366
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Mental Health', 'Health Promotion', 'Occupational Health', 'Guidelines as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697298
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Female', 'Humans', 'Male', 'China', 'COVID-19', 'East Asian People', 'Mental Disorders', 'Mental Health', 'Risk Factors', 'Students', 'Suicidal Ideation', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697006
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Services Accessibility', 'Health Literacy', 'Mexico', 'Female', 'Male', 'Adolescent', 'Child', 'Adult', 'Surveys and Questionnaires', 'Parents', 'Mental Health', 'Middle Aged', 'Health Behavior']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696336
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Intimate Partner Violence', 'Female', 'Sex Offenses', 'Canada', 'Male', 'Transgender Persons', 'Surveys and Questionnaires', 'Crime Victims', 'Research', 'Stakeholder Participation', 'Mental Health', 'Health Priorities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696264
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Ownership', 'Housing', 'Behavioral Risk Factor Surveillance System', 'Aged', 'United States', 'Mental Health', 'Prevalence', 'Depressive Disorder']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696245
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sudan', 'Cross-Sectional Studies', 'Child', 'Female', 'Adolescent', 'Male', 'Refugees', 'Mental Health', 'Surveys and Questionnaires', 'Stress Disorders, Post-Traumatic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696093
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Students', 'Universities', 'United Kingdom', 'Young Adult', 'Exercise', 'Cohort Studies', 'Life Style', 'Ethnicity', 'COVID-19', 'Health Behavior', 'Sex Factors', 'Adult', 'Adolescent', 'Body Mass Index', 'Diet', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695709
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Patient Selection', 'Mental Disorders', 'Mental Health', 'Randomized Controlled Trials as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695633
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Adverse Childhood Experiences', 'Female', 'England', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Criminal Law', 'Health Status', 'Surveys and Questionnaires', 'Aged', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Video Games', 'Universities', 'Mental Health', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695547
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Military Personnel', 'Female', 'Male', 'Cross-Sectional Studies', 'China', 'Adult', 'Stress Disorders, Post-Traumatic', 'COVID-19', 'Sleep Initiation and Maintenance Disorders', 'Prevalence', 'Young Adult', 'Depression', 'Anxiety', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Adolescent', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695533
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Belgium', 'Male', 'Female', 'Multimorbidity', 'Middle Aged', 'Adult', 'Aged', 'Health Surveys', 'Mental Disorders', 'Quality of Life', 'Young Adult', 'Mental Health', 'Adolescent', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695518
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Military Personnel', 'Male', 'Social Support', 'Adult', 'Personal Satisfaction', 'Female', 'Mental Health', 'Depression', 'Longitudinal Studies', 'Young Adult', 'Surveys and Questionnaires', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695274
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Female', 'Male', 'Young Adult', 'Depression', 'Universities', 'China', 'Surveys and Questionnaires', 'Mental Health', 'Adolescent', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693620
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mobile Applications', 'Adult', 'Mental Health', 'Health Behavior', 'Life Style', 'Exercise', 'Telemedicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693599
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Adult', 'Middle Aged', 'Mental Health', 'Mental Disorders', 'Aged', 'Schizophrenia', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691047
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Burnout, Professional', 'Mental Health', 'Organizational Culture', 'Leadership', 'Health Personnel', 'Job Satisfaction', 'Ontario']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691046
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Canada', 'Mental Health', 'Occupational Health', 'Workplace', 'Health Personnel', 'Organizational Culture', 'Surveys and Questionnaires', 'Patient Safety', 'Safety Management']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691045
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Health Personnel', 'Mental Health', 'Occupational Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690437
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'South Australia', 'Housing', 'Male', 'Female', 'Adult', 'Middle Aged', 'Food Security', 'Health Status', 'Mental Health', 'Health Surveys', 'Socioeconomic Factors', 'Adolescent', 'Food Insecurity', 'Aged', 'Chronic Disease', 'Young Adult', 'Food Supply']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690123
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Adolescent Development', 'Young Adult', 'Adult', 'Child', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mexico', 'Adolescent', 'Male', 'Female', 'Racism', 'Mental Disorders', 'Qualitative Research', 'Mental Health', 'Mental Health Services', 'Young Adult', 'Interviews as Topic', 'Health Services Accessibility', 'Urban Population', 'Urban Health', 'Indigenous Peoples', 'Patient Acceptance of Health Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Noncommunicable Diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733989
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Hypoglycemia', 'Male', 'Adult', 'Female', 'Blood Glucose', 'Hyperglycemia', 'Exercise', 'Child', 'Young Adult', 'Cohort Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Time Factors', 'Insulin', 'Blood Glucose Self-Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715178
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Telemedicine', 'Child', 'Quality of Life', 'Rural Population', 'Child, Preschool', 'Parents', 'Mentoring', 'Occupational Therapy', 'Double-Blind Method', 'Pilot Projects', 'Glycated Hemoglobin', 'Self Efficacy', 'Adult', 'Parenting']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714936
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Aged', 'Male', 'Insulin Infusion Systems', 'Insulin', 'Cross-Over Studies', 'Aged, 80 and over', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Glycated Hemoglobin', 'Blood Glucose Self-Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710861
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Cross-Sectional Studies', 'Child', 'Lipase', 'India', 'Amylases', 'Biomarkers', 'Young Adult', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Prognosis', 'Adult', 'Exocrine Pancreatic Insufficiency']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39708266
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats', 'Muscle, Skeletal', 'Drugs, Chinese Herbal', 'Insulin-Secreting Cells', 'Male', 'Adipose Tissue', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707866
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Pilot Projects', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Middle Aged', 'Cognitive Dysfunction', 'Adult', 'Early Diagnosis', 'Aged', 'Retina', 'Visual Field Tests', 'Diabetic Retinopathy', 'Fixation, Ocular', 'Neuropsychological Tests']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707182
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Female', 'Child', 'Metabolomics', 'Adolescent', 'Metabolome', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Biomarkers', 'Metabolic Networks and Pathways', 'Machine Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706675
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Retrospective Studies', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1', 'Blood Glucose', 'Hypoglycemic Agents', 'Risk Factors', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706641
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats, Wistar', 'Diabetic Neuropathies', 'NF-kappa B', 'Male', 'Diabetes Mellitus, Experimental', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 1', 'Streptozocin', 'Gabapentin', 'Glycation End Products, Advanced', 'Signal Transduction', 'Rats', 'Oxidative Stress', 'Disease Models, Animal']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706517
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Magnetic Resonance Imaging', 'Adult', 'Neuralgia', 'Diabetic Neuropathies', 'Middle Aged', 'Brain', 'Cerebral Cortex']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39704278
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cytokines', 'Diabetes Mellitus, Type 1', 'Child', 'Chemokines', 'Adolescent', 'Sex Factors', 'Disease Progression', 'Child, Preschool', 'Intercellular Signaling Peptides and Proteins', 'Pilot Projects', 'Biomarkers', 'Sex Characteristics', 'Case-Control Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39704171
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 1', 'Mice', 'Interleukin-2', 'Disease Models, Animal', 'Interleukin-2 Receptor alpha Subunit', 'Interleukin-1 Receptor-Like 1 Protein', 'Interleukin-33', 'Mice, Inbred NOD', 'Female', 'Signal Transduction', 'CD8-Positive T-Lymphocytes', 'Islets of Langerhans', 'Th1 Cells', 'Interleukin-10', 'Autoimmunity', 'Recombinant Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39704022
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Bioengineering', 'Animals', 'Genomics', 'Insulin-Secreting Cells', 'Proteomics', 'Insulin', 'Islets of Langerhans']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39703896
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Receptors, Calcitriol', 'South Africa', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Black People', 'Adult', 'Case-Control Studies', 'Vitamin D', 'Genotype', 'Young Adult', 'Polymorphism, Restriction Fragment Length', 'Polymorphism, Single Nucleotide', 'Genetic Predisposition to Disease', 'Middle Aged', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39703609
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'SARS-CoV-2', 'Acute Kidney Injury', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39702941
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Dendritic Cells', 'Humans', 'Macrophages', 'Immune Tolerance', 'Receptors, Cytoplasmic and Nuclear', 'Mitochondria', 'Male', 'Female', 'Phenotype']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39701114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diabetic Ketoacidosis', 'Adolescent', 'Female', 'Male', 'Child', 'Hypoglycemia', 'Young Adult', 'Insulin', 'Hypoglycemic Agents', 'Insulin Infusion Systems', 'Child, Preschool', 'Blood Glucose', 'Prospective Studies', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699995
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Adult', 'Female', 'Male', 'Insulin', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Hypoglycemic Agents', 'Retrospective Studies', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39697323
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'MicroRNAs', 'Insulin-Secreting Cells', 'Enterovirus B, Human', 'Coxsackievirus Infections', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Insulin', 'Trophoblasts']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696373
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Deep Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696094
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Sirolimus', 'Genetic Diseases, X-Linked', 'Diarrhea', 'Immunosuppressive Agents', 'Forkhead Transcription Factors', 'Immune System Diseases', 'Infant', 'Mutation', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39692076
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Histamine', 'Female', 'Adult', 'Hot Temperature', 'Middle Aged', 'Diabetic Neuropathies', 'Axons', 'Neural Conduction', 'Reflex', 'Sural Nerve', 'Young Adult', 'ROC Curve', 'Neurologic Examination']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39691822
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'New Zealand', 'Cross-Sectional Studies', 'Adolescent', 'Child', 'Diabetes Mellitus, Type 1', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Prevalence', 'Child, Preschool', 'Adult', 'Glycated Hemoglobin', 'Primary Health Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39689816
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Female', 'Middle Aged', 'Depression', 'Adult', 'Glycated Hemoglobin', 'Prevalence', 'Sex Factors', 'Surveys and Questionnaires', 'Self-Management']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39689633
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Parents', 'Qualitative Research', 'Child', 'Adolescent', 'Child, Preschool', 'Interviews as Topic', 'Infant', 'Hospitalization', 'Adult', 'Self Care', 'Self-Management', 'Perception', 'Social Support']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39688288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Male', 'Adult', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 1', 'Medically Underserved Area', 'California', 'Florida']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39686350
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Female', 'Spectroscopy, Near-Infrared', 'Blood Glucose', 'Male', 'Middle Aged', 'Prospective Studies', 'Diabetes Mellitus, Type 2', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686207
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Neural Networks, Computer', 'Blood Glucose', 'Internet of Things', 'Deep Learning', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Forecasting']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39683492
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Isomaltose', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Middle Aged', 'Cross-Over Studies', 'Adult', 'Exercise', 'Insulin', 'Blood Glucose', 'Insulin Infusion Systems', 'Glucagon', 'Glucagon-Like Peptide 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683465
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Female', 'Humans', 'Diabetes Mellitus, Type 1', 'Dietary Supplements', 'Dipeptidyl-Peptidase IV Inhibitors', 'Insulin-Secreting Cells', 'Latent Autoimmune Diabetes in Adults', 'Vitamin D', 'Vitamin D Deficiency']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39682744
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Extracellular Vesicles', 'Humans', 'Insulin-Secreting Cells', 'Cell Communication', 'Animals', 'Islets of Langerhans', 'Cellular Microenvironment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39682729
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Intestinal Mucosa', 'Inflammatory Bowel Diseases', 'Celiac Disease', 'Protein Tyrosine Phosphatases', 'Animals', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39682726
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Organoids', 'Alzheimer Disease', 'Herpesvirus 1, Human', 'Brain', 'Herpes Simplex', 'Islets of Langerhans', 'Autoimmune Diseases', 'Stem Cells', 'Transcriptome', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39680874
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Aged', 'Diabetes Mellitus, Type 1', 'Caregivers', 'Male', 'Pilot Projects', 'Female', 'Feasibility Studies', 'Quality of Life', 'Middle Aged', 'Self-Management', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39680256
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Glycemic Control', 'Child', 'Diabetes Mellitus, Type 1', 'Parents', 'Child, Preschool', 'Hypoglycemia', 'Stress, Psychological', 'Infant', 'Blood Glucose', 'Parent-Child Relations', 'Fear']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39679900
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Adult', 'Obesity', 'Diabetes Complications', 'Insulin Resistance', 'Young Adult', 'Cardiovascular Diseases', 'Obesity, Metabolically Benign', 'Body Mass Index', 'Follow-Up Studies', 'Adolescent', 'Diabetic Neuropathies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39678192
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Biomarkers', 'Female', 'Lipase', 'Adult', 'Amylases', 'Immunotherapy', 'Trypsin', 'Young Adult', 'Pancreas, Exocrine', 'Adolescent', 'Granulocyte Colony-Stimulating Factor', 'Treatment Outcome', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39676645
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Prospective Studies', 'Adult', 'Systole', 'Diastole', 'Ultrasonography, Prenatal', 'Fetal Heart', 'Diabetes Mellitus, Type 1', 'Echocardiography, Doppler', 'Young Adult', 'Ventricular Function, Left', 'Myocardial Contraction', 'Pregnancy in Diabetics', 'Stroke Volume', 'Diabetes Mellitus, Type 2', 'Heart Ventricles']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39676515
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Health Knowledge, Attitudes, Practice', 'Female', 'Male', 'School Teachers', 'Morocco', 'Adult', 'Surveys and Questionnaires', 'Child', 'Schools', 'Health Education', 'School Health Services']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675543
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Pyroptosis', 'Diabetes Mellitus, Type 1', 'Mice', 'Arsenic', 'Caspase 1', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Diabetes Mellitus, Experimental', 'Male', 'Insulin', 'Reactive Oxygen Species', 'Blood Glucose', 'Streptozocin', 'Phosphate-Binding Proteins', 'Disease Progression', 'Interleukin-18', 'Interleukin-1beta', 'Pancreas', 'Signal Transduction', 'Mice, Inbred C57BL', 'Insulin Resistance', 'Gasdermins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675483
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Insulin Infusion Systems', 'Adolescent', 'Parents', 'Insulin', 'Blood Glucose Self-Monitoring', 'Child', 'Hypoglycemic Agents', 'Patient Acceptance of Health Care', 'Surveys and Questionnaires', 'Blood Glucose', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675356
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Methylenetetrahydrofolate Reductase (NADPH2)', 'Female', 'Male', 'Adolescent', 'Child', 'Interleukin-4', 'Polymorphism, Genetic', 'Diabetic Neuropathies', 'Diabetes Mellitus, Type 1', 'Genotype', 'Genetic Predisposition to Disease', 'Neural Conduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39673446
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cost-Benefit Analysis', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents', 'Models, Economic', 'Glycated Hemoglobin', 'Quality-Adjusted Life Years', 'Randomized Controlled Trials as Topic', 'Algorithms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673230
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cardiovascular Diseases', 'Australia', 'Risk Assessment', 'Male', 'Female', 'Adult', 'Middle Aged', 'Heart Disease Risk Factors', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39670552
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Insulin', 'Child', 'Female', 'Male', 'Needlestick Injuries', 'Injections, Subcutaneous', 'Needles', 'Adolescent', 'Diabetes Mellitus, Type 1', 'Child, Preschool', 'Hypoglycemic Agents', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39667114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Child', 'Prospective Studies', 'Pneumococcal Vaccines', 'Seroconversion', 'Pilot Projects', 'Antibodies, Bacterial', 'Child, Preschool', 'Immunoglobulin G', 'Adolescent', 'Vaccination', 'Pneumococcal Infections', 'Glycated Hemoglobin', 'Streptococcus pneumoniae']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39665438
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Insulin-Secreting Cells', 'Diabetes Mellitus, Experimental', 'Cell Survival', 'Anti-Inflammatory Agents', 'Polytetrafluoroethylene', 'Diabetes Mellitus, Type 1', 'Male', 'Macrophages', 'Membranes, Artificial', 'Mice, Inbred C57BL', 'Cell Encapsulation', 'Islets of Langerhans Transplantation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39664107
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Adult', 'Middle Aged', 'Diabetic Neuropathies', 'Female', 'Magnetic Resonance Imaging', 'Olfactory Bulb', 'Aged', 'Young Adult', 'Adolescent', 'Case-Control Studies', 'Smell']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39663236
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Quality of Life', 'Psychometrics', 'Sweden', 'Child', 'Male', 'Female', 'Surveys and Questionnaires', 'Chronic Disease', 'Adolescent', 'Reproducibility of Results', 'Diabetes Mellitus, Type 1', 'Translations', 'Asthma', 'Parents', 'Factor Analysis, Statistical', 'Child, Preschool']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39661959
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Adolescent', 'Male', 'Belgium', 'Longitudinal Studies', 'Young Adult', 'Adult', 'Self Concept']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658973
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Retrospective Studies', 'Pakistan', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Adult', 'SARS-CoV-2', 'Survival Rate', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39658119
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Diabetes Mellitus, Type 1', 'Child', 'Male', 'Female', 'Retrospective Studies', 'Adolescent', 'Saudi Arabia', 'Child, Preschool', 'Incidence', 'Polyuria', 'Abdominal Pain', 'Polydipsia', 'Vomiting', 'Age Factors', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658013
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Female', 'Male', 'Self Efficacy', 'Quality of Life', 'Jordan', 'Glycemic Control', 'Empowerment', 'Glycated Hemoglobin', 'Child']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39653802
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Exercise', 'Insulin Infusion Systems', 'Insulin', 'Adolescent', 'Child', 'Hypoglycemic Agents', 'Europe', 'Blood Glucose', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39652325
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Male', 'Republic of Korea', 'Adolescent', 'Female', 'Child', 'Incidence', 'Child, Preschool', 'Young Adult', 'Cohort Studies', 'Pandemics', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39652177
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Dermatitis, Atopic', 'Comorbidity', 'Risk Factors', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus', 'Child', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39649224
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Genetic Predisposition to Disease', 'Genome-Wide Association Study', 'Glycated Hemoglobin', 'Mendelian Randomization Analysis', 'Polymorphism, Single Nucleotide', 'Spondylitis, Ankylosing']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39648458
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Fatty Acids, Omega-3', 'Chemokine CXCL9', 'Insulin-Secreting Cells', 'Animals', 'Mice', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Signal Transduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39645243
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Insulin-Secreting Cells', 'Animals', 'Drug Development', 'Insulin Secretion', 'Insulin', 'Disease Progression', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39644976
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diving', 'Adult', 'Hypoglycemia', 'Male', 'Female', 'Blood Glucose', 'Young Adult', 'Blood Glucose Self-Monitoring', 'Glycated Hemoglobin', 'Adolescent', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39642862
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Islets of Langerhans Transplantation', 'Induced Pluripotent Stem Cells', 'Islets of Langerhans', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39639901
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cost-Benefit Analysis', 'Diabetes Mellitus, Type 2', 'Patient Education as Topic', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39636437
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Mice, Inbred NOD', 'Mice', 'Female', 'Diabetes Mellitus, Type 1', 'Antigens, Differentiation, T-Lymphocyte', 'Antibodies, Monoclonal']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632776
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Glycemic Control', 'Blood Glucose Self-Monitoring', 'Hypoglycemia', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 2', 'Diabetic Angiopathies', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Postprandial Period', 'Clinical Relevance']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39632164
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Female', 'Male', 'Child, Preschool', 'Surveys and Questionnaires', 'Infant', 'Parents', 'Insulin Infusion Systems', 'Patient Satisfaction', 'Blood Glucose', 'Child', 'Caregivers', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39629047
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Drug Administration Schedule', 'Glycated Hemoglobin', 'Hypoglycemia', 'Hypoglycemic Agents', 'Insulin', 'Insulin, Long-Acting', 'Randomized Controlled Trials as Topic', 'Treatment Outcome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39627081
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Retrospective Studies', 'Child', 'Female', 'Male', 'Adolescent', 'Child, Preschool', 'Infant', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 1', 'Insulin, Long-Acting', 'Insulin', 'Infant, Newborn', 'Infusions, Intravenous']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39626097
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'HLA-DR3 Antigen', 'Haplotypes', 'HLA-DR4 Antigen', 'Genetic Predisposition to Disease', 'Male', 'Female', 'Genome-Wide Association Study', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39625868
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Wearable Electronic Devices']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39625848
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Insulin', 'Administration, Cutaneous', 'Needles', 'Drug Delivery Systems', 'Animals', 'Skin', 'Swine', 'Skin Absorption', 'Microinjections', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Humans']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625039
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, Glucagon', 'Hypoglycemic Agents', 'Blood Glucose', 'Insulin', 'Randomized Controlled Trials as Topic', 'Hypoglycemia', 'Treatment Outcome', 'Antibodies, Monoclonal, Humanized']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622650
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Adolescent', 'Insulin', 'Skin Diseases', 'Hypoglycemic Agents', 'Child, Preschool', 'Lipodystrophy', 'Dermatitis, Contact']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622257
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Registries', 'Child', 'Female', 'Male', 'Longitudinal Studies', 'Adolescent', 'Child, Preschool', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Treatment Outcome', 'Infant', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622163
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Animals', 'Blood Glucose', 'Tissue Engineering', 'Porosity', 'Human Umbilical Vein Endothelial Cells', 'Tissue Scaffolds', 'Induced Pluripotent Stem Cells', 'Insulin', 'Diabetes Mellitus, Experimental', 'Printing, Three-Dimensional', 'Bioprinting', 'Male', 'Cell Survival', 'Insulin-Secreting Cells', 'Extracellular Matrix']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39621933
+Predictions: ['Diabetes', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Child, Preschool', 'Retrospective Studies', 'Female', 'Blood Glucose', 'Male', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Hospitalization', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39621313
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice, Inbred NOD', 'Interleukin-4', 'Mice', 'Thymus Gland', 'Diabetes Mellitus, Type 1', 'Receptors, Antigen, T-Cell', 'Dendritic Cells', 'Natural Killer T-Cells']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39620918
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Aged', 'Automobile Driving', 'Insulin Infusion Systems', 'Male', 'Female', 'Insulin', 'Cross-Over Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Noncommunicable Diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Cancer']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735414
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cognitive Dysfunction', 'Olfaction Disorders', 'Early Diagnosis', 'Biomarkers', 'Smell', 'Magnetic Resonance Imaging', 'Brain']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734182
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Female', 'Male', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Tibia', 'Periosteum', 'Microcirculation', 'Treatment Outcome', 'Follow-Up Studies', 'Wound Healing', 'Diabetes Mellitus, Type 2', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733138
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Diabetes Mellitus, Type 2', 'Humans', 'Osteoarthritis', 'Animals', 'Rats', 'Chondrocytes', 'Cartilage, Articular', 'Up-Regulation', 'Lipopolysaccharide Receptors', 'Male', 'Monocytes', 'Gene Expression Profiling', 'Biomarkers', 'Cell Adhesion Molecules']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39733102
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Monocytes', 'Male', 'Female', 'Middle Aged', 'Apolipoprotein A-I', 'Biomarkers', 'Aged', 'ROC Curve', 'Non-alcoholic Fatty Liver Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732300
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Ferroptosis', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 2', 'Male', 'Drugs, Chinese Herbal', 'Mice', 'Diabetes Mellitus, Experimental', 'Mice, Inbred C57BL', 'Oxidative Stress', 'Liver', 'Diet, High-Fat', 'Lipid Peroxidation', 'Berberine', 'Cell Line', 'Glucosides', 'Flavanones', 'Streptozocin', 'Isoflavones', 'Flavonoids']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731787
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Insulin Resistance', 'Animals', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Mice', 'Triterpenes', 'Male', 'Diabetes Mellitus, Experimental', 'Molecular Structure', 'Structure-Activity Relationship', 'Humans', 'Dose-Response Relationship, Drug', 'Mice, Inbred C57BL']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731761
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Coagulase', 'Comorbidity', 'Diabetes Mellitus, Type 2', 'Staphylococcal Infections', 'Staphylococcus', 'Systemic Inflammatory Response Syndrome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730877
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Non-alcoholic Fatty Liver Disease', 'Triglycerides', 'Middle Aged', 'Male', 'Female', 'Cholesterol, HDL', 'Retrospective Studies', 'Adult', 'Risk Factors', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730670
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Thyroid Hormones', 'Aged', 'Diabetic Nephropathies', 'Diabetic Retinopathy', 'Diabetic Neuropathies', 'Thyrotropin', 'Thyroid Gland', 'Risk Factors', 'Thyroxine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730430
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Periodontitis', 'Male', 'Female', 'Aged', 'Saliva', 'Biomarkers', 'Gingivitis', 'Adult', 'Microbiota', 'Aged, 80 and over', 'RNA, Ribosomal, 16S']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Female', 'Male', 'Heart Failure', 'Middle Aged', 'Aged', 'Retrospective Studies', 'Diabetes Mellitus, Type 2', 'Republic of Korea']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730078
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sleep Initiation and Maintenance Disorders', 'Prediabetic State', 'Glycated Hemoglobin', 'Cognitive Behavioral Therapy', 'Blood Glucose', 'Male', 'Female', 'Insulin Resistance', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Blood Glucose Self-Monitoring', 'Adult', 'Patient Education as Topic', 'Aged', 'Sleep']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729922
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Periodontitis', 'Male', 'Rats, Wistar', 'Macrophages', 'Diabetes Mellitus, Experimental', 'Rats', 'Alveolar Bone Loss', 'Vitamin D', 'Phagocytosis', 'Diabetes Mellitus, Type 2', 'Calcium', 'Efferocytosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729784
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Melanoma', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Denmark', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Neoplasm Staging', 'Adult', 'Sex Factors', 'Skin Neoplasms', 'Registries', 'Lymphatic Metastasis', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39729310
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Lectins', 'Male', 'Female', 'GPI-Linked Proteins', 'Middle Aged', 'Periodontitis', 'Cytokines', 'Tumor Necrosis Factor-alpha', 'Adult', 'Biomarkers', 'Cytokine TWEAK', 'Glycated Hemoglobin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729235
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Antioxidants', 'Plant Extracts', 'Animals', 'Hypoglycemic Agents', 'Adipogenesis', 'Mice', 'Adipocytes', 'Apoptosis', 'Asteraceae', '3T3-L1 Cells', 'alpha-Amylases', 'Cell Movement', 'Phenols', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39728692
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Docosahexaenoic Acids', 'Animals', 'Diabetic Retinopathy', 'Mice', 'Humans', 'Electroretinography', 'Retina', 'Tomography, Optical Coherence', 'Male', 'Middle Aged', 'Mice, Inbred C57BL', 'Female', 'Diabetes Mellitus, Experimental', 'Gas Chromatography-Mass Spectrometry', 'Real-Time Polymerase Chain Reaction', 'Diabetes Mellitus, Type 2', 'Aged', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726656
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Israel', 'Female', 'Adolescent', 'Arabs', 'Cross-Sectional Studies', 'Jews', 'Polycystic Ovary Syndrome', 'Hypertension', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Pediatric Obesity', 'Prevalence', 'Male', 'Comorbidity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725431
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Prediabetic State', 'China', 'Diabetes Mellitus, Type 2', 'Randomized Controlled Trials as Topic', 'Prospective Studies', 'Single-Blind Method', 'Telemedicine', 'Multicenter Studies as Topic', 'Cost-Benefit Analysis', 'Male', 'Group Dynamics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725366
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Cognitive Dysfunction', 'Rats', 'Gastrointestinal Microbiome', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley', 'Bile Acids and Salts', 'Hypoglycemic Agents', 'Insulin Resistance', 'Hippocampus', 'Maze Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724976
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Colorectal Neoplasms', 'Mass Screening', 'Prostate-Specific Antigen', 'Chronic Disease', 'Male', 'Guideline Adherence', 'Prostatic Neoplasms', 'Diabetes Mellitus, Type 2', 'HIV Infections', 'Dyslipidemias']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39723533
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Cognitive Dysfunction', 'Mice', 'Network Pharmacology', 'Molecular Docking Simulation', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Diabetes Mellitus, Experimental', 'Protein Interaction Maps', 'Hippocampus', 'Signal Transduction', 'Disease Models, Animal', 'Morris Water Maze Test']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39722814
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Homocysteine', 'Male', 'Female', 'Middle Aged', 'Neural Conduction', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Aged', 'Risk Factors', 'China']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39722811
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'COVID-19', 'Female', 'Male', 'Middle Aged', 'Risk Factors', 'Post-Acute COVID-19 Syndrome', 'Aged', 'Adult', 'Ukraine', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39721796
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Gestational Weight Gain', 'White People', 'Adult', 'Retrospective Studies', 'Pregnancy Outcome', 'Obesity', 'COVID-19', 'Pregnancy Complications', 'Black or African American', 'Health Status Disparities', 'Louisiana', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720906
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Testosterone', 'Middle Aged', 'Aged', 'Australia', 'Risk Factors', 'Glucose Tolerance Test', 'Glycated Hemoglobin', 'Prognosis', 'Blood Glucose', 'Glucose Intolerance', 'Life Style', 'Risk Assessment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720247
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Insulin Resistance', 'Bile Acids and Salts', 'Medicine, Chinese Traditional', 'Precision Medicine', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2', 'Noncommunicable Diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720175
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glycemic Control', 'Diabetes Mellitus, Type 2', 'Health Education', 'Glycated Hemoglobin', 'Blood Glucose', 'Patient Education as Topic']
diff --git a/model/results/gemini/v1.txt b/model/results/gemini/v1.txt
index 61288c23ec365cec994c45dfe2d01a43598a169b..63c30027036041427e52b7cd08a161734ab43e78 100644
--- a/model/results/gemini/v1.txt
+++ b/model/results/gemini/v1.txt
@@ -42,9 +42,9 @@ PMID: 39731009
Predictions: ['Noncommunicable Diseases']
MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
-Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
-Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
-Confusion matrix: [[1, 1], [0, 6]]
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
---------------------------------
---------------------------------
PMID: 39725416
@@ -61,7 +61,7 @@ Predictions: ['Noncommunicable Diseases']
MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
-Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Cancer', 'Cardiovascular diseases']
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
Confusion matrix: [[1, 4], [0, 3]]
---------------------------------
---------------------------------
@@ -114,9 +114,9 @@ PMID: 39696309
Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
-Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
-Selected labels: ['Noncommunicable Diseases', 'Diabetes']
-Confusion matrix: [[1, 1], [1, 5]]
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
---------------------------------
---------------------------------
PMID: 39695503
@@ -132,9 +132,9 @@ PMID: 39693027
Predictions: ['Noncommunicable Diseases']
MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
-Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
-Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Cancer', 'Diabetes', 'Diabetes type 2']
-Confusion matrix: [[1, 4], [0, 3]]
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2', 'Chronic respiratory disease']
+Confusion matrix: [[1, 5], [0, 2]]
---------------------------------
---------------------------------
PMID: 39683555
@@ -149,3 +149,1300 @@ Confusion matrix: [[1, 0], [0, 7]]
PMID: 39678524
Predictions: ['Noncommunicable Diseases']
MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Chronic respiratory disease', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725931
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'COVID-19', 'Neoplasms', 'Qualitative Research', 'Terminal Care', 'Male', 'Bereavement', 'Female', 'Middle Aged', 'Aged', 'Family', 'Adult', 'Pandemics', 'United Kingdom', 'SARS-CoV-2', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Chronic respiratory disease', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+Time to classify all articles: 6456.389773130417 seconds
+Result confusion matrix: [[179, 219], [10, 872]]
+True Positive Rate (TPR): 0.9470899470899471
+True Negative Rate (TNR): 0.7992667277726856
+Precision: 0.44974874371859297
diff --git a/model/results/gemini/v2.txt b/model/results/gemini/v2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..06f5165939a36a90a27e64862f20f0410c4969e5
--- /dev/null
+++ b/model/results/gemini/v2.txt
@@ -0,0 +1,7208 @@
+---------------------------------
+MODEL: Gemini
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737504
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Stem Cell Transplantation', 'Cell- and Tissue-Based Therapy', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736607
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors', 'Employment', 'Socioeconomic Factors', 'Poverty', 'Universal Health Insurance', 'Cost of Illness']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732655
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Machine Learning', 'Bias', 'Population Health', 'Algorithms']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731009
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725416
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'New Zealand', 'Cross-Sectional Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Adult', 'Comorbidity', 'Censuses', 'Adolescent', 'Young Adult', 'Aged, 80 and over', 'Prevalence', 'Child', 'Child, Preschool']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722627
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39709790
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['NF-E2-Related Factor 2', 'Humans', 'Animals', 'Noncommunicable Diseases', 'Oxidative Stress', 'Reactive Oxygen Species', 'Oxidation-Reduction', 'Disease Models, Animal', 'Inflammation', 'Gene Expression Regulation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702198
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'India', 'Middle Aged', 'Aged, 80 and over', 'Noncommunicable Diseases', 'Cost of Illness', 'Disability-Adjusted Life Years', 'Sex Factors', 'Age Factors', 'Global Burden of Disease', 'Wounds and Injuries']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699459
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Brazil', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Chronic Disease', 'Noncommunicable Diseases', 'Prevalence', 'Health Surveys', 'Young Adult', 'Adolescent', 'Sex Distribution', 'Socioeconomic Factors', 'Cost of Illness', 'Multimorbidity', 'Sociodemographic Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697299
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Multimorbidity', 'Noncommunicable Diseases', 'Health Expenditures', 'Prevalence', 'Aged', 'Adult', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696316
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Thailand', 'Humans', 'Noncommunicable Diseases', 'Stakeholder Participation', 'Health Policy', 'Sustainable Development', 'Intersectoral Collaboration', 'Cooperative Behavior']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696309
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693027
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39683555
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Female', 'Italy', 'Exercise', 'Feeding Behavior', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Knowledge, Attitudes, Practice', 'Young Adult', 'Child', 'Adolescent Behavior', 'Surveys and Questionnaires', 'Health Risk Behaviors', 'Risk-Taking', 'Diet']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39658798
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Translational Research, Biomedical', 'Humans', 'Ethiopia', 'Capacity Building', 'Decision Making', 'Research Personnel', 'Public Health', 'Malawi', 'Uganda', 'Noncommunicable Diseases', 'Cooperative Behavior', 'South Africa', 'Delivery of Health Care', 'Africa', 'Rwanda', 'Administrative Personnel', 'Focus Groups', 'Surveys and Questionnaires', 'Evidence-Based Practice', 'Qualitative Research', 'Health Policy']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39655600
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'White People', 'Female', 'Male', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Risk Factors', 'Black People', 'Africa South of the Sahara', 'Europe', 'Renal Insufficiency, Chronic', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653570
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Medication Adherence', 'Thailand', 'Islam', 'Middle Aged', 'Noncommunicable Diseases', 'Rural Population', 'Adult', 'Focus Groups', 'Qualitative Research', 'Aged', 'Health Knowledge, Attitudes, Practice', 'Southeast Asian People', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39653567
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Developing Countries', 'Noncommunicable Diseases', 'Research Design', 'Stakeholder Participation', 'Implementation Science', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39645277
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Chronic Disease', 'Diet, Western', 'Gastrointestinal Microbiome', 'Inflammation', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644320
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delivery of Health Care', 'Russia', 'Primary Health Care', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644303
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Exercise', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2', 'Obesity']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Cancer', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[3, 3], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39632114
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delphi Technique', 'Precision Medicine', 'Noncommunicable Diseases', 'Consensus', 'Female', 'Australia', 'Pregnancy', 'Adult', 'Male', 'Mass Screening', 'Middle Aged', 'Health Priorities']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625743
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Surveys and Questionnaires', 'Reproducibility of Results', 'Multicenter Studies as Topic', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622542
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Kenya', 'Food Insecurity', 'Male', 'Female', 'HIV Infections', 'Adult', 'Health Services Accessibility', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Middle Aged', 'Comorbidity', 'Young Adult', 'Food Supply']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39613439
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Systematic Reviews as Topic', 'Sedentary Behavior', 'Meta-Analysis as Topic', 'Prevalence', 'Risk Factors', 'Exercise', 'Adult', 'Africa, Eastern', 'Research Design', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39602608
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Mexico', 'Cost of Illness', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Healthy Aging', 'Mortality', 'Life Expectancy', 'Prevalence', 'Incidence', 'Humans', 'Male', 'Female', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Delivery of Health Care', 'Health Services Needs and Demand']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595773
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Tanzania', 'Humans', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Adult', 'Rural Population', 'Aged', 'Young Adult', 'Politics', 'Adolescent', 'Treatment Adherence and Compliance', 'Patient Compliance']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595772
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Refugees', 'Male', 'Female', 'Risk Factors', 'Adult', 'Portugal', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Young Adult', 'Prevalence', 'Middle Aged', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39592985
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Pregnancy', 'Noncommunicable Diseases', 'Middle Aged', 'Prospective Studies', 'Adolescent', 'Male', 'Young Adult', 'Aged', 'Multimorbidity', 'Prenatal Exposure Delayed Effects', 'Aged, 80 and over', 'Smoking', 'Chronic Disease']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Exercise', 'Aged', 'Noncommunicable Diseases', 'Randomized Controlled Trials as Topic', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39589015
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Male', 'Female', 'South Africa', 'Longitudinal Studies', 'Adult', 'Middle Aged', 'Depressive Disorder, Major', 'Communicable Diseases', 'Mediation Analysis', 'Comorbidity', 'Causality', 'Aged', 'Monte Carlo Method', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39584432
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Noncommunicable Diseases', 'Digital Technology', 'Middle East', 'Telemedicine', 'Mediterranean Region', 'Pandemics', 'SARS-CoV-2', 'Delivery of Health Care']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39563350
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'England', 'Adult', 'Male', 'Middle Aged', 'Schools', 'Female', 'Obesity', 'Public Health', 'Fast Foods', 'Body Mass Index', 'Cross-Sectional Studies', 'Health Care Costs', 'Restaurants', 'Noncommunicable Diseases', 'Quality-Adjusted Life Years', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552939
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Noncommunicable Diseases', 'HIV Infections', 'Delivery of Health Care, Integrated']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552340
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Qualitative Research', 'Health Policy', 'Policy Making', 'Stakeholder Participation', 'Interviews as Topic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39548534
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ghana', 'Noncommunicable Diseases', 'Health Policy', 'World Health Organization', 'Focus Groups', 'Stakeholder Participation', 'Policy Making', 'Administrative Personnel', 'Qualitative Research', 'Public Health', 'Health Promotion', 'Health Plan Implementation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39541160
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Primary Health Care', 'Female', 'Male', 'Hypertension', 'Noncommunicable Diseases', 'Diabetes Mellitus, Type 2', 'Ghana', 'Adult', 'Middle Aged', 'Delivery of Health Care, Integrated', 'Quality Improvement', 'Depression', 'Mental Health Services', 'Anxiety', 'Mental Disorders', 'Aged']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39530940
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Cardiovascular Diseases', 'Secondary Prevention']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Chronic respiratory disease', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[2, 4], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39522888
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'China', 'Noncommunicable Diseases', 'Aged', 'Middle Aged', 'Male', 'Female', 'Incidence', 'Aged, 80 and over', 'Disability-Adjusted Life Years', 'Health Priorities', 'Global Burden of Disease']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39515219
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Body Mass Index', 'Child', 'Female', 'Pediatric Obesity', 'Victoria', 'COVID-19', 'Health Behavior', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39514466
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Exercise', 'Noncommunicable Diseases', 'Health Promotion', 'Healthy Lifestyle', 'Perception', 'Life Style']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39511525
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Behavior Therapy', 'Health Promotion', 'Life Style', 'Noncommunicable Diseases', 'Systematic Reviews as Topic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39496368
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Dyslipidemias', 'Adult', 'Cross-Sectional Studies', 'Aged', 'Prevalence', 'Sex Factors', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Cohort Studies', 'Age Factors', 'Social Class', 'Health Status Disparities', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494478
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Risk Factors', 'Cardiovascular Diseases', 'Periodontal Diseases', 'Periodontitis', 'Disease Susceptibility', 'Noncommunicable Diseases', 'Comorbidity']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes', 'Diabetes type 2', 'Chronic respiratory disease']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39478581
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Male', 'Exercise', 'Female', 'Middle Aged', 'Young Adult', 'Africa', 'Adolescent', 'Aged', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Leisure Activities', 'Sociodemographic Factors', 'Surveys and Questionnaires', 'Sex Factors', 'Educational Status']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39478517
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Prospective Studies', 'Diet', 'Risk Factors', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39460821
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ukraine', 'Retrospective Studies', 'Aged', 'Persons with Disabilities', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over', 'Cardiovascular Diseases', 'Armed Conflicts', 'Neoplasms', 'Eastern European People']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Cancer']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458499
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Liver Diseases', 'Probiotics', 'Chronic Disease', 'Noncommunicable Diseases', 'Risk Factors', 'Dietary Fiber', 'Polyphenols', 'Food Ingredients', 'Diet', 'Spices', 'Fatty Acids, Omega-3', 'Dietary Supplements']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39458490
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Biodiversity', 'One Health', 'Diet, Healthy', 'Interdisciplinary Research', 'Noncommunicable Diseases', 'Diet, Vegetarian', 'Neoplasms', 'Quality of Life']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39458487
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Bibliometrics', 'Humans', 'Food Labeling', 'Beverages', 'Global Health', 'Nutrition Policy', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39449123
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Life Style', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Inflammatory Bowel Diseases', 'Adult', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Inflammation', 'Age of Onset', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39438053
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Thailand', 'Noncommunicable Diseases', 'Delivery of Health Care', 'SARS-CoV-2', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Germany', 'Communicable Diseases', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437462
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Emotions', 'Physician-Patient Relations', 'Communication', 'Decision Making', 'Noncommunicable Diseases', 'Informed Consent']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436669
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Health Policy', 'Policy Making', 'Administrative Personnel', 'Noncommunicable Diseases', 'Developing Countries']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39432502
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Tuberculosis, Pulmonary', 'Noncommunicable Diseases', 'Gene Regulatory Networks', 'Lung Neoplasms', 'Silicosis', 'Protein Interaction Maps', 'Renal Insufficiency, Chronic']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39426077
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Brazil', 'Obesity', 'Male', 'Female', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Hospitalization', 'Body Mass Index', 'Sick Leave', 'Prevalence', 'Cost of Illness', 'Aged']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Prevalence', 'Incidence', 'Global Health', 'Male', 'Global Burden of Disease', 'Data Analysis', 'World Health Organization', 'Secondary Data Analysis']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39418781
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Female', 'Male', 'Case-Control Studies', 'Middle Aged', 'Adult', 'Occupations', 'Databases, Factual', 'Occupational Exposure', 'Risk Factors', 'Noncommunicable Diseases', 'Myocardial Infarction', 'Sitting Position', 'Diabetes Mellitus', 'Aged', 'Workplace']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418779
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Europe', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Adolescent', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult', 'Global Burden of Disease', 'Child', 'Infant', 'Cost of Illness', 'Child, Preschool', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Cancer']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418251
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Obesity', 'Hypertension', 'Motivation', 'Risk Factors', 'Hyperlipidemias', 'Iran', 'Overweight', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39416942
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Information Dissemination', 'Translational Research, Biomedical']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39411832
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Inflammation', 'Diet', 'Anti-Inflammatory Agents', 'Obesity', 'Chronic Disease', 'Diabetes Mellitus, Type 2', 'Fruit']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39408274
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malus', 'Noncommunicable Diseases', 'Fruit', 'Nutritive Value', 'Diet', 'Diet, Healthy']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Cancer', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39408232
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Biological Products', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39407160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Nepal', 'Humans', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Services Accessibility', 'Health Care Surveys', 'Health Facilities', 'Female', 'Male']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39404094
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fibrinolytic Agents', 'Subtilisins', 'Antioxidants', 'Oxidative Stress', 'Anti-Inflammatory Agents', 'Animals', 'Inflammation', 'Cardiovascular Diseases', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394102
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Communication Barriers', 'Aged', 'Rural Population', 'South Africa', 'Middle Aged', 'Qualitative Research', 'Interviews as Topic', 'Health Knowledge, Attitudes, Practice', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39391944
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Noncommunicable Diseases', 'Middle Aged', 'Cross-Sectional Studies', 'Prevalence', 'Chronic Disease', 'Beverages', 'Obesity', 'Aged', 'Neoplasms', 'Hypercholesterolemia', 'Young Adult', 'Diet', 'Alcoholic Beverages', 'Feeding Behavior']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39390457
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Satellite Imagery', 'Cardiovascular Diseases', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39388415
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Alcohol Drinking', 'Exercise', 'Meta-Analysis as Topic', 'Noncommunicable Diseases', 'Prevalence', 'Risk Factors', 'Systematic Reviews as Topic', 'Tobacco Use']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39386956
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Guyana', 'Humans', 'Noncommunicable Diseases', 'Qualitative Research', 'Health Policy', 'Government', 'Policy Making']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39379988
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Aged', 'Body Mass Index', 'Cardiovascular Diseases', 'China', 'Neoplasms', 'Age Factors', 'Cause of Death', 'Cohort Studies', 'Proportional Hazards Models', 'Weight Loss', 'Weight Gain', 'Risk Factors', 'Noncommunicable Diseases']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39374955
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Research', 'Health Priorities', 'Biomedical Research']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369417
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Tertiary Care Centers', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Nepal', 'Health Knowledge, Attitudes, Practice', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369183
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Female', 'Male', 'Aged', 'Asia, Central', 'Adult', 'Europe, Eastern', 'Noncommunicable Diseases', 'Mortality, Premature', 'Global Health', 'Global Burden of Disease', 'Cardiovascular Diseases', 'Neoplasms', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[3, 1], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39368120
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Middle Aged', 'Adult', 'Male', 'Female', 'Noncommunicable Diseases', 'Natural Language Processing', 'Prevalence', 'Retrospective Studies', 'Hypertension', 'Aged', 'Adolescent', 'Young Adult', 'Diabetes Mellitus', 'Electronic Health Records', 'Obesity', 'Multimorbidity', 'Dyslipidemias', 'Mental Disorders', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39367295
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['India', 'Humans', 'Primary Health Care', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Comprehensive Health Care', 'Health Services Needs and Demand']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39365121
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Dental Research']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39363978
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39356704
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Nepal', 'Adolescent', 'Middle Aged', 'Risk Factors', 'Young Adult', 'Hypertension', 'Obesity', 'Smoking', 'Prevalence', 'Overweight', 'Cluster Analysis', 'Noncommunicable Diseases', 'Health Surveys']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352154
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malaysia', 'Female', 'Male', 'Adult', 'Cross-Sectional Studies', 'Health Knowledge, Attitudes, Practice', 'Noncommunicable Diseases', 'Middle Aged', 'Young Adult', 'Indigenous Peoples', 'Adolescent', 'Aged']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352096
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet', 'Obesity', 'Dysbiosis', 'Diabetes Mellitus, Type 2', 'Czech Republic', 'Inflammation']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39344941
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Mass Screening', 'Cardiovascular Diseases', 'Oral Health', 'Diabetes Mellitus', 'United Kingdom']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39342408
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Mexico', 'Female', 'Male', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Ambulatory Care', 'Cross-Sectional Studies', 'Young Adult', 'Aged', 'Sex Factors', 'Healthcare Disparities']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39342100
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Female', 'Male', 'Qualitative Research', 'Fisheries', 'Adult', 'Middle Aged', 'Delayed Diagnosis', 'Patient Acceptance of Health Care', 'Interviews as Topic', 'Aged', 'Self Care']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39339734
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet, Mediterranean', 'Dysbiosis', 'Diet, Western', 'Diet, Vegetarian', 'Diet', 'Methylamines', 'Fatty Acids, Volatile']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338107
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Sex Factors', 'Longitudinal Studies', 'Young Adult', 'Health Surveys', 'Prevalence', 'Socioeconomic Factors', 'Adolescent', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338026
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Developing Countries', 'Economic Development']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39334103
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Metabolic Syndrome', 'Female', 'Male', 'Aged', 'Cross-Sectional Studies', 'Thailand', 'Multilevel Analysis', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39333314
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Wounds and Injuries', 'Female', 'Male', 'Neoplasms', 'Cardiovascular Diseases', 'Cause of Death', 'Global Health']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Cancer']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39324155
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ethiopia', 'Male', 'Female', 'Adult', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Belief Model', 'Middle Aged', 'Health Behavior', 'Surveys and Questionnaires', 'Health Promotion', 'Young Adult', 'Health Knowledge, Attitudes, Practice', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39308827
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Thailand', 'Particulate Matter', 'Noncommunicable Diseases', 'Female', 'Male', 'Air Pollutants', 'Environmental Exposure', 'Air Pollution', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Adult']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39307578
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Noncommunicable Diseases', 'Postpartum Period', 'Parturition', 'Pregnancy Complications', 'Australia']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735640
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Blood Glucose', 'Class Ia Phosphatidylinositol 3-Kinase', 'Diabetes Mellitus', 'Growth Disorders', 'Hypercalcemia', 'Insulin Resistance', 'Nephrocalcinosis', 'Tooth Abnormalities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Chronic respiratory disease', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39734205
+Predictions: ['Diabetes']
+MeshTerm: ['Administration, Oral', 'Insulin', 'Humans', 'Animals', 'Nanoparticles', 'Blood Glucose', 'Diabetes Mellitus', 'Particle Size', 'Hypoglycemic Agents', 'Drug Carriers', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732905
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Coronary Stenosis', 'Aged', 'Inflammation', 'Coronary Disease', 'Severity of Illness Index', 'Diabetes Mellitus', 'Prognosis', 'Risk Factors', 'Predictive Value of Tests']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sepsis', 'Male', 'Female', 'Aged', 'Middle Aged', 'Calcium', 'Diabetes Mellitus', 'Acid-Base Equilibrium', 'ROC Curve', 'Prognosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732433
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Ethiopia', 'Risk Factors', 'Prevalence', 'Diabetic Angiopathies', 'Male', 'Female', 'Middle Aged', 'Adult', 'Risk Assessment', 'Diabetic Retinopathy', 'Aged', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Diabetes Mellitus', 'Young Adult', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730510
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Nutrition Surveys', 'Heart Diseases', 'Diabetes Mellitus', 'Waist Circumference', 'Body Mass Index', 'Adiposity', 'Risk Factors', 'Adipose Tissue', 'United States']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39729755
+Predictions: ['Diabetes']
+MeshTerm: ['Biosensing Techniques', 'Microwaves', 'Humans', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Spectrum Analysis, Raman', 'Spectroscopy, Near-Infrared', 'Equipment Design']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39725454
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Kidney Transplantation', 'Male', 'Female', 'Child', 'Adolescent', 'Graft Survival', 'Graft Rejection', 'Diabetes Mellitus', 'Incidence', 'Retrospective Studies', 'Postoperative Complications', 'Survival Analysis', 'Child, Preschool', 'Transplant Recipients', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39723173
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Wound Healing', 'Hypoxia-Inducible Factor 1, alpha Subunit', 'Animals', 'Deferoxamine', 'Diabetes Mellitus', 'Glycine', 'Nanoparticles', 'Isoquinolines']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39721299
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Elasticity Imaging Techniques', 'Pilot Projects', 'Male', 'Female', 'Pancreas', 'Middle Aged', 'Adult', 'Case-Control Studies', 'Aged', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720256
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Extracellular Vesicles', 'Osteoporosis', 'Animals', 'Diabetes Complications', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719762
+Predictions: ['Diabetes']
+MeshTerm: ['Particulate Matter', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Air Pollutants', 'Humans', 'Male', 'Prospective Studies', 'Air Pollution', 'Environmental Exposure', 'China', 'Aged', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719335
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Male', 'Female', 'Adult', 'Multimorbidity', 'Middle Aged', 'Chronic Disease', 'Prevalence', 'Aged', 'Hypertension', 'Obesity', 'Hyperuricemia', 'Dyslipidemias', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Adolescent', 'Rural Population', 'Young Adult', 'Urban Population']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719334
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Female', 'Male', 'Adult', 'Middle Aged', 'Prevalence', 'Hyperuricemia', 'Chronic Disease', 'Hypertension', 'Metabolic Diseases', 'Dyslipidemias', 'Aged', 'Diabetes Mellitus', 'Young Adult', 'Rural Population', 'Adolescent', 'Urban Population', 'Nutrition Surveys']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719258
+Predictions: ['Diabetes']
+MeshTerm: ['MicroRNAs', 'Humans', 'Wound Healing', 'Animals', 'Signal Transduction', 'Diabetes Complications', 'Diabetes Mellitus', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39718458
+Predictions: ['Diabetes']
+MeshTerm: ['Titanium', 'Insulin', 'Animals', 'Hypoglycemic Agents', 'Particle Size', 'Glucose', 'Materials Testing', 'Nanoparticles', 'Surface Properties', 'Biocompatible Materials', 'Diabetes Mellitus', 'Drug Delivery Systems', 'Mice', 'Diabetes Mellitus, Experimental', 'Humans', 'Boronic Acids']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39717102
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Postmenopause', 'Middle Aged', 'Coronary Disease', 'Cholesterol', 'Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Prevalence', 'United States', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39717099
+Predictions: ['Diabetes']
+MeshTerm: ['Bibliometrics', 'Humans', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Inflammasomes', 'Diabetes Mellitus', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39716287
+Predictions: ['Diabetes']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Administration, Oral', 'Blood Glucose', 'Cholecalciferol', 'Creatine', 'Diabetes Mellitus', 'Dietary Supplements', 'Iran', 'Muscle Strength', 'Muscle, Skeletal', 'Oxidative Stress', 'Randomized Controlled Trials as Topic', 'Sarcopenia', 'Treatment Outcome', 'Valerates', 'Whey Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39716100
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Gastrointestinal Microbiome', 'Kidney Transplantation', 'Postoperative Complications']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39715819
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus', 'Egypt', 'Health Knowledge, Attitudes, Practice', 'Patient Education as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39715497
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'COVID-19 Vaccines', 'Antibodies, Neutralizing', 'COVID-19', 'Female', 'HIV Infections', 'Middle Aged', 'Antibodies, Viral', 'Immunoglobulin G', 'SARS-CoV-2', 'Immunity, Humoral', 'Adult', 'Diabetes Mellitus', 'Vaccination', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39714194
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Middle Aged', 'Ischemic Stroke', 'Aged, 80 and over', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Age Factors', 'Blood Glucose', 'Prospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39714134
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Saliva', 'Metal-Organic Frameworks', 'Transistors, Electronic', 'Glucose', 'Electrodes', 'Biosensing Techniques', 'Electrochemical Techniques', 'Nickel', 'Particle Size']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709946
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Transcription Factor 7-Like 2 Protein', 'beta Catenin', 'Wnt3A Protein', 'Wnt Signaling Pathway', 'Diabetic Nephropathies', 'Animals', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39709804
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vaccination Coverage', 'Cross-Sectional Studies', 'Influenza, Human', 'Male', 'Influenza Vaccines', 'Female', 'Europe', 'Middle Aged', 'Aged', 'Diabetes Mellitus', 'Seasons', 'Vaccination', 'Social Determinants of Health', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709395
+Predictions: ['Diabetes']
+MeshTerm: ['Bayes Theorem', 'Humans', 'Software', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Middle Aged', 'Retrospective Studies', 'Male', 'Adult', 'Female', 'Aged', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Aged, 80 and over', 'Oman', 'Body Mass Index', 'Blood Pressure', 'Young Adult', 'SARS-CoV-2', 'Hypertension', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39707324
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Triglycerides', 'Longitudinal Studies', 'Male', 'Middle Aged', 'Female', 'Blood Glucose', 'China', 'Aged', 'Obesity', 'Risk Factors', 'Insulin Resistance', 'Diabetes Mellitus', 'Proportional Hazards Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707271
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Erectile Dysfunction', 'Ethiopia', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Hospitals, Public', 'Prevalence', 'Risk Factors', 'Diabetes Mellitus', 'Poisson Distribution', 'Young Adult', 'Diabetes Complications', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39707185
+Predictions: ['Diabetes']
+MeshTerm: ['Gastrointestinal Microbiome', 'Humans', 'Diabetes Mellitus', 'Protein Interaction Maps', 'Network Pharmacology', 'Proto-Oncogene Proteins c-akt', 'Metabolome', 'PPAR gamma', 'Signal Transduction', 'Metabolomics', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39706370
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Glucose Tolerance Test', 'Adult', 'Blood Glucose', 'Hyperglycemia', 'Glycated Hemoglobin', 'Insulin Resistance', 'China', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Aged', 'Insulin', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39705195
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cardio-Renal Syndrome', 'Diabetes Mellitus', 'Metabolic Diseases', 'Practice Guidelines as Topic', 'Renal Insufficiency, Chronic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39703865
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Uric Acid', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Cholesterol, HDL', 'Prospective Studies', 'Adult', 'Biomarkers', 'Diabetes Mellitus', 'Prognosis', 'Aged', 'Nutrition Surveys', 'Cohort Studies', 'Follow-Up Studies', 'Cause of Death', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39703057
+Predictions: ['Diabetes']
+MeshTerm: ['Strongyloides stercoralis', 'Strongyloidiasis', 'Animals', 'Humans', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39702258
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nasopharynx', 'Male', 'Female', 'Case-Control Studies', 'Adult', 'Middle Aged', 'Ghana', 'Diabetes Mellitus', 'Aged', 'Bacteria', 'Young Adult', 'Respiratory Tract Infections']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39702047
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Malaysia', 'Male', 'Mobile Applications', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Telemedicine', 'Self-Management', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Aged', 'Diabetes Mellitus, Type 2', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39700129
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Bangladesh', 'Hyperglycemia', 'Middle Aged', 'Tertiary Care Centers', 'Diabetes Mellitus', 'Prospective Studies', 'Adult', 'Follow-Up Studies', 'Aged', 'SARS-CoV-2', 'Hospitalization', 'Patient Discharge', 'Risk Factors', 'Socioeconomic Factors', 'Hospital Mortality']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39699704
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Hyperglycemia', 'Diabetes Mellitus', 'Risk Factors', 'Atherosclerosis', 'Blood Glucose']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39699431
+Predictions: ['Diabetes']
+MeshTerm: ['Quality of Life', 'Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Patient Education as Topic', 'Educational Technology', 'Adult', 'Aged', 'Surveys and Questionnaires', 'Controlled Before-After Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39698032
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Middle Aged', 'Intra-Abdominal Fat', 'Japan', 'Cohort Studies', 'Obesity, Abdominal', 'Adiposity', 'Diabetes Mellitus', 'Risk Factors', 'Blood Glucose', 'Longitudinal Studies', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39696515
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Uric Acid', 'C-Reactive Protein', 'Male', 'Female', 'Insulin Resistance', 'Triglycerides', 'Cholesterol, HDL', 'Adult', 'Middle Aged', 'Risk Factors', 'Sex Factors', 'Diabetes Mellitus', 'Mediation Analysis', 'Biomarkers', 'Sex Characteristics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39696157
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'China', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Health Services Needs and Demand', 'Diabetes Mellitus', 'Young Adult', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Mass Screening', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39696101
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Middle Aged', 'Health Surveys', 'Young Adult', 'Risk Factors', 'Sex Factors', 'Undiagnosed Diseases', 'Adolescent', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39695649
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Diabetes Mellitus', 'Neural Networks, Computer', 'Middle Aged', 'Female', 'Male', 'Models, Statistical', 'Support Vector Machine', 'Adult', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39695632
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Malawi', 'Qualitative Research', 'Female', 'Diabetes Mellitus', 'Focus Groups', 'Health Knowledge, Attitudes, Practice', 'Adult', 'Male', 'Nursing Staff, Hospital', 'Tertiary Care Centers', 'Clinical Competence', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39695379
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cluster Analysis', 'Regression Analysis', 'Models, Statistical', 'Algorithms', 'Diabetes Mellitus', 'Data Interpretation, Statistical']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693799
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Prediabetic State', 'Incidence', 'Middle Aged', 'Depression', 'Triglycerides', 'United States', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Diabetes Mellitus', 'Aged', 'Insulin Resistance']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39693267
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Renal Dialysis', 'Kidney Failure, Chronic', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Blood Glucose', 'Precision Medicine', 'Hypoglycemic Agents', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39692388
+Predictions: ['Diabetes']
+MeshTerm: ['Adolescent', 'Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Young Adult', 'Arabs', 'Chronic Disease', 'Diabetes Mellitus', 'Health Status Disparities', 'Israel', 'Jews', 'Obesity', 'Prevalence', 'Retrospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39686708
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Glycated Hemoglobin', 'Time Factors', 'Biometry', 'Models, Statistical', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39686687
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Colorectal Neoplasms', 'Metabolic Syndrome', 'Middle Aged', 'Early Detection of Cancer', 'Male', 'Europe', 'Female', 'Adult', 'Diabetes Mellitus', 'North America', 'Age Factors', 'Risk Factors', 'Mass Screening', 'Risk Assessment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39684919
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cyclin-Dependent Kinase Inhibitor p21', 'Diabetes Mellitus', 'Animals', 'Metabolic Diseases', 'Insulin Resistance', 'DNA Damage']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39684905
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Cats', 'Insulin', 'Signal Transduction', 'Muscle, Skeletal', 'Biomarkers', 'Liver', 'Cat Diseases', 'Male', 'Pancreas', 'Diabetes Mellitus', 'Receptor, Insulin', 'Female', 'Insulin Resistance', 'Insulin Receptor Substrate Proteins', 'Glucagon-Like Peptide 1', 'Incretins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39684868
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nanostructures', 'Pancreatic Diseases', 'Animals', 'Drug Delivery Systems', 'Pancreatic Neoplasms', 'Diabetes Mellitus', 'Drug Carriers', 'Pancreas']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39684468
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Apolipoprotein C-III', 'Cardiovascular Diseases', 'Animals', 'Diabetes Mellitus', 'Metabolic Diseases', 'Lipoproteins', 'Triglycerides', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39684379
+Predictions: ['Diabetes']
+MeshTerm: ['Leptin', 'Humans', 'Obesity', 'Metabolic Diseases', 'Diabetes Mellitus', 'Female', 'Male', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39684343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Acetamides', 'Diabetes Mellitus', 'Depression', 'Antidepressive Agents', 'Depressive Disorder, Major', 'Blood Glucose', 'Glycated Hemoglobin', 'Treatment Outcome', 'Naphthalenes']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39683638
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ferritins', 'Male', 'Middle Aged', 'Female', 'Mongolia', 'Cross-Sectional Studies', 'Cardiovascular Diseases', 'Meat', 'Diet', 'Heart Disease Risk Factors', 'Adult', 'Biomarkers', 'Aged', 'Diabetes Mellitus', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39683480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Blood Glucose', 'Independent Living', 'Italy', 'Fatty Acids, Unsaturated', 'Diabetes Mellitus', 'Aged, 80 and over', 'Diet', 'Blood Pressure', 'Cardiometabolic Risk Factors', 'Fatty Acids, Omega-3', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39683416
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Dietary Supplements', 'Female', 'Nutrition Surveys', 'Male', 'Middle Aged', 'Adult', 'United States', 'Diabetes Mellitus', 'Motivation', 'Aged', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681993
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Dogs', 'Dog Diseases', 'Fatty Liver', 'Tomography, X-Ray Computed', 'Male', 'Liver', 'Female', 'Diabetic Ketoacidosis', 'Diabetes Mellitus', 'Retrospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681831
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Fear', 'Feeding Behavior', 'Diabetes Mellitus', 'Cognitive Behavioral Therapy', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39681614
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Polyradiculoneuropathy, Chronic Inflammatory Demyelinating', 'Male', 'Diabetic Neuropathies', 'Female', 'Middle Aged', 'Ultrasonography', 'Diagnosis, Differential', 'Aged', 'Neural Conduction', 'ROC Curve', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681186
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Risk Factors', 'Nutrition Surveys', 'United States', 'Dementia', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Obesity', 'Smoking', 'Hypertension', 'Alcohol Drinking']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39680279
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Recurrence', 'Computer Simulation', 'Models, Statistical', 'Proportional Hazards Models', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39680083
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Bursitis', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Aged', 'Dilatation', 'Range of Motion, Articular', 'Shoulder Joint', 'Treatment Outcome', 'Pain Measurement', 'Adult', 'Diabetes Mellitus', 'Diabetes Complications']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39678201
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Food Insecurity', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Adult', 'Social Class', 'Family Characteristics', 'Aged', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39676179
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Holistic Health', 'Mind-Body Therapies', 'Diabetes Mellitus', 'Neurosecretory Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39675484
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Adult', 'Aged', 'Body Mass Index', 'Cause of Death', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39674445
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Arsenic', 'Homeostasis', 'Animals', 'Glucose', 'Diabetes Mellitus', 'Microbiota', 'Gastrointestinal Microbiome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39673957
+Predictions: ['Diabetes']
+MeshTerm: ['Acetone', 'Zinc Oxide', 'Biosensing Techniques', 'Humans', 'Optical Fibers', 'Diabetes Mellitus', 'Biomarkers', 'Limit of Detection', 'Breath Tests', 'Equipment Design', 'Volatile Organic Compounds', 'Fiber Optic Technology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39673919
+Predictions: ['Diabetes', 'Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Incidence', 'Adult', 'Aged', 'Diabetes Mellitus', 'New Zealand', 'Young Adult', 'Registries', 'Cohort Studies', 'Adolescent', 'Aged, 80 and over', 'Child']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39673498
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Female', 'Self Care', 'Primary Health Care', 'Middle Aged', 'Aged', 'Follow-Up Studies', 'Longitudinal Studies', 'Hypertension', 'Coronary Artery Disease', 'Diabetes Mellitus', 'Adult', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39672014
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Artificial Intelligence', 'Machine Learning', 'Deep Learning', 'Telemedicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39671511
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Male', 'Female', 'Cross-Sectional Studies', 'Hypertension', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Exercise', 'Coronary Artery Disease', 'Prospective Studies', 'Young Adult', 'Cardiometabolic Risk Factors', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39671417
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Female', 'Male', 'COVID-19', 'Adult', 'Diabetes Mellitus', 'Middle Aged', 'Puerto Rico', 'COVID-19 Vaccines', 'Aged', 'Surveys and Questionnaires', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39670874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Liver Diseases', 'Aged', 'Analgesics, Opioid', 'United States', 'Liver Cirrhosis', 'Chronic Disease', 'Cohort Studies', 'Liver Neoplasms', 'Diabetes Mellitus', 'Logistic Models', 'Arthritis', 'Health Surveys', 'Chronic Pain', 'Hepatitis, Viral, Human', 'Renal Insufficiency, Chronic', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39670442
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Animals', 'Lipocalin-2', 'Diabetic Neuropathies', 'Oxidative Stress', 'Molecular Targeted Therapy', 'Quality of Life', 'Cognitive Dysfunction', 'Drug Development', 'Blood-Brain Barrier', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39670363
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Computational Biology', 'Diabetes Mellitus', 'Benchmarking', 'Blood Glucose', 'Wearable Electronic Devices', 'Smartphone', 'Mobile Applications', 'Language', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39667764
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Diabetic Foot', 'Osteomyelitis', 'Diabetes Mellitus', 'Anti-Infective Agents, Local']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39666834
+Predictions: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Aged', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 2], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39666732
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Insulin', 'Aged', 'Diabetes Mellitus', 'Hospitalization', 'Frail Elderly', 'Hypoglycemic Agents', 'Female', 'Male', 'Hospitals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39666445
+Predictions: ['Diabetes']
+MeshTerm: ['Bone Regeneration', 'Humans', 'Drug Delivery Systems', 'Animals', 'Diabetes Mellitus', 'Neovascularization, Physiologic', 'Osteogenesis', 'Biocompatible Materials']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39666397
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'COVID-19', 'Invasive Pulmonary Aspergillosis', 'Retrospective Studies', 'Case-Control Studies', 'Aged', 'Severity of Illness Index', 'SARS-CoV-2', 'Smoking', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39665943
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vascular Stiffness', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Middle Aged', 'Hypertension', 'Glomerular Filtration Rate', 'Aged', 'Biomarkers', 'Albuminuria', 'Kidney', 'Cross-Sectional Studies', 'Diabetes Mellitus']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39665157
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Protein Glutamine gamma Glutamyltransferase 2', 'Transglutaminases', 'Male', 'Female', 'Aged', 'Vasodilation', 'Endothelium, Vascular', 'GTP-Binding Proteins', 'Arteries', 'Vascular Resistance', 'Sex Factors', 'Diabetes Mellitus', 'Vasodilator Agents', 'Enzyme Inhibitors', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736556
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Information Seeking Behavior', 'Early Detection of Cancer', 'Qualitative Research', 'Neoplasms', 'Needs Assessment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736554
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Middle East', 'Male', 'Africa, Northern', 'Neoplasms', 'Incidence', 'Female', 'Child', 'Adolescent', 'Child, Preschool', 'Infant', 'Health Status Disparities', 'Socioeconomic Factors', 'Young Adult', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736368
+Predictions: ['Cancer']
+MeshTerm: ['Ferroptosis', 'Photochemotherapy', 'Humans', 'Photosensitizing Agents', 'Reactive Oxygen Species', 'Neoplasms', 'Lipid Peroxidation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736217
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Bacteria', 'Surface Properties', 'Animals', 'Biological Products', 'Neoplasms', 'Biological Therapy', 'Biocompatible Materials']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736186
+Predictions: ['Cancer']
+MeshTerm: ['Spectrum Analysis, Raman', 'Humans', 'N-Acetylneuraminic Acid', 'Biomarkers, Tumor', 'Neoplasms', 'Animals', 'Polysaccharides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736017
+Predictions: ['Cancer']
+MeshTerm: ['Mesenchymal Stem Cells', 'Neoplasms', 'Gene Expression', 'Humans', 'HeLa Cells', 'MCF-7 Cells', 'A549 Cells', 'Reference Values', 'Genes, Essential', 'Real-Time Polymerase Chain Reaction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735992
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cell Line, Tumor', 'Transcriptome', 'Neoplasms', 'Gene Fusion', 'Sequence Analysis, RNA', 'Gene Expression Profiling', 'Oncogene Proteins, Fusion']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735988
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Warburg Effect, Oncologic', 'Neoplasms', 'Glycolysis', 'Animals', 'Oxidative Phosphorylation', 'Energy Metabolism', 'Mitochondria', 'Cell Proliferation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735979
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aneuploidy', 'Machine Learning', 'Neoplasms', 'Myristoylated Alanine-Rich C Kinase Substrate', 'Membrane Proteins', 'Gene Expression Regulation, Neoplastic', 'Cell Proliferation', 'Cytoskeletal Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735978
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunity, Innate', 'Tumor-Associated Macrophages', 'Neoplasms', 'Tumor Microenvironment', 'Phenotype', 'Animals', 'Epigenesis, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Disease Progression', 'Heterogeneous-Nuclear Ribonucleoprotein Group C', 'Neoplasms', 'Tumor Microenvironment', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Liver Neoplasms', 'Cell Line, Tumor', 'Cell Proliferation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735681
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Nanoparticles', 'Drug Delivery Systems', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735536
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'CD28 Antigens', 'Mice', 'Cell Adhesion Molecules', 'Neoplasms', 'Lymphocyte Activation', 'Cell Line, Tumor', 'Immunotherapy, Adoptive', 'T-Lymphocytes', 'Receptors, Antigen, T-Cell', 'Xenograft Model Antitumor Assays', 'Female', 'Nectins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735534
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Immunotherapy', 'Neoplasms', 'Combined Modality Therapy', 'Humans', 'Ultrasonic Therapy', 'Disease Models, Animal']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734197
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', '5-Methylcytosine', 'DNA Methylation', 'DNA Transposable Elements', 'Epigenesis, Genetic', 'Nanopore Sequencing', 'Nanopores', 'Neoplasms', 'Sequence Analysis, DNA']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733511
+Predictions: ['Cancer']
+MeshTerm: ['Protein-Arginine N-Methyltransferases', 'Humans', 'Enzyme Inhibitors', 'Neoplasms', 'Antineoplastic Agents', 'Molecular Structure', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733440
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Occupational Exposure', 'Occupational Diseases', 'Carcinogens']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733439
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Antigen Presentation', 'Immunotherapy', 'Neoplasms', 'Antigens, Neoplasm', 'Immune Checkpoint Inhibitors', 'HLA Antigens']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733429
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Registries', 'Female', 'Male', 'Tunisia', 'Neoplasms', 'Incidence', 'Middle Aged', 'Adult', 'Aged', 'Adolescent', 'Young Adult', 'Infant, Newborn', 'Infant', 'Child', 'Child, Preschool', 'Follow-Up Studies', 'Prognosis', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733076
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Mitochondria', 'Gene Expression Regulation, Neoplastic', 'Biomarkers, Tumor', 'Prognosis', 'Genomics', 'Cell Proliferation', 'Kaplan-Meier Estimate']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732961
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Transcription Factors', 'Proto-Oncogene Proteins c-ets', 'Prognosis', 'Neoplasms', 'Gene Expression Regulation, Neoplastic', 'Tumor Microenvironment', 'Adenovirus E1A Proteins', 'DNA-Binding Proteins', 'Kaplan-Meier Estimate', 'Gene Expression Profiling']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732661
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Fever of Unknown Origin', 'Prospective Studies', 'Female', 'Male', 'China', 'Middle Aged', 'Adult', 'Aged', 'Neoplasms', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732529
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Animals', 'Signal Transduction', 'Cytokines', 'Immunotherapy', 'Molecular Targeted Therapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732497
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Fear', 'Schizophrenia', 'Psychotic Disorders', 'Neoplasms', 'Psychosocial Intervention', 'Neoplasm Recurrence, Local', 'Research Design']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732363
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'T-Lymphocytes', 'Cell Movement', 'Immunotherapy, Adoptive', 'Tumor Microenvironment', 'Receptors, Chimeric Antigen', 'Neoplasms', 'Microfluidics', 'Lab-On-A-Chip Devices', 'Cell Line, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mitochondria', 'Neoplasms', 'Cytoskeleton', 'Animals', 'Autophagy', 'Apoptosis', 'Cell Proliferation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732132
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Animals', 'Complement Activation', 'Tumor Microenvironment', 'Complement C4', 'Biomarkers, Tumor', 'Immunotherapy', 'Complement C4b', 'Peptide Fragments']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731918
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Immunotherapy', 'Tumor Microenvironment', 'CD8-Positive T-Lymphocytes', 'Leukocytes, Mononuclear', 'Male', 'Female', 'Receptors, Antigen, T-Cell', 'Neoplasms', 'Middle Aged', 'Transcriptome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731836
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'MicroRNAs', 'Hydrogels', 'HeLa Cells', 'DNA', 'Doxorubicin', 'PTEN Phosphohydrolase', 'Cell Survival', 'Neoplasms', 'Apoptosis Regulatory Proteins', 'RNA-Binding Proteins', 'Antineoplastic Agents', 'Gene Expression Regulation, Neoplastic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731788
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Antineoplastic Agents', 'Peptides', 'Animals', 'Drug Development', 'Molecular Structure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731736
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Neoplasms', 'Genomics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731651
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Quality of Life', 'Female', 'Male', 'Hydrocortisone', 'Qigong', 'Middle Aged', 'Neoplasms', 'Aged', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731471
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Endoplasmic Reticulum Chaperone BiP', 'Single-Domain Antibodies', 'Recombinant Fusion Proteins', 'Immunotoxins', 'Apoptosis', 'Exotoxins', 'Animals', 'Heat-Shock Proteins', 'Cell Line, Tumor', 'Camelus', 'Breast Neoplasms', 'Female', 'ADP Ribose Transferases', 'Bacterial Toxins', 'HEK293 Cells', 'Pseudomonas aeruginosa Exotoxin A', 'Neoplasms', 'MCF-7 Cells', 'Virulence Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Organoids', 'Neoplasms', 'Tumor Microenvironment', 'Precision Medicine', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731135
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Mutation', 'Tumor Microenvironment', 'Histone Demethylases', 'Biomarkers, Tumor', 'Prognosis', 'Immunotherapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731127
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'RNA Editing', 'Neoplasms', 'Inosine', 'Adenosine', 'Animals', 'Gene Expression Regulation, Neoplastic', 'Adenosine Deaminase', 'Biomarkers, Tumor', 'MicroRNAs']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731088
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Palliative Care', 'Aged', 'Middle Aged', 'Neoplasms', 'Terminal Care', 'Aged, 80 and over', 'Finland', 'Hospital Costs', 'Ambulatory Care Facilities', 'Registries', 'Adult', 'Ambulatory Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731019
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Algorithms', 'Deep Learning', 'Gene Expression Profiling', 'Computational Biology', 'Databases, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730977
+Predictions: ['Cancer']
+MeshTerm: ['Copper', 'Humans', 'Metal Nanoparticles', 'Green Chemistry Technology', 'Neoplasms', 'Antineoplastic Agents', 'Drug Resistance, Neoplasm']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730928
+Predictions: ['Cancer']
+MeshTerm: ['Doxorubicin', 'Animals', 'Mice', 'Humans', 'Cell Line, Tumor', 'Immunotherapy', 'Neoplasms', 'Drug Delivery Systems', 'Nanoparticles', 'Tumor Microenvironment', 'Biomimetics', 'Imiquimod', 'Serotonin', 'Antineoplastic Agents', 'Combined Modality Therapy', 'Mice, Inbred BALB C']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730772
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Female', 'Male', 'Adult', 'Middle Aged', 'Return to Work', 'Social Stigma', 'Social Support', 'Adolescent', 'Young Adult', 'Adaptation, Psychological', 'Health Literacy', 'Neoplasms', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730706
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Denmark', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Cohort Studies', 'Environmental Pollution', 'Young Adult', 'Child, Preschool', 'Infant, Newborn', 'Environmental Exposure', 'Adolescent', 'Child', 'Infant', 'Aged, 80 and over', 'Neoplasms', 'Cause of Death']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730699
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Machine Learning', 'Antineoplastic Agents', 'Precision Medicine', 'Neoplasms', 'Cell Line, Tumor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730637
+Predictions: ['Cancer']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'China', 'Drug-Related Side Effects and Adverse Reactions', 'East Asian People', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730328
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Mice', 'Immunotherapy', 'Humans', 'Immune Checkpoint Inhibitors', 'Female', 'Fimbriae Proteins', 'Programmed Cell Death 1 Receptor', 'Neoplasms', 'Mice, Inbred C57BL', 'Bacteria', 'Cell Line, Tumor', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730320
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Social Support', 'Neoplasms', 'Qualitative Research', 'Social Adjustment', 'Social Interaction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory diseases', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [1, 2]]
+---------------------------------
+---------------------------------
+PMID: 39729909
+Predictions: ['Cancer']
+MeshTerm: ['Reactive Oxygen Species', 'Humans', 'Neoplasms', 'Magnetic Fields', 'Animals', 'Mitochondria', 'Electromagnetic Fields']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39729775
+Predictions: ['Cancer']
+MeshTerm: ['Granulocyte-Macrophage Colony-Stimulating Factor', 'Animals', 'RNA, Small Interfering', 'Immunotherapy', 'Mice', 'Macrophages', 'Cellular Reprogramming', 'Mice, Inbred C57BL', 'Neoplasms', 'Tumor Microenvironment', 'Cell Line, Tumor', 'Humans', 'Tumor-Associated Macrophages', 'Female', 'RAW 264.7 Cells']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729479
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Single-Cell Analysis', 'Lymphocytes, Tumor-Infiltrating', 'Neoplasms', 'RNA-Seq', 'T-Lymphocytes, Regulatory', 'Transcriptome', 'Gene Expression Profiling', 'Protein Interaction Maps', 'Sequence Analysis, RNA', 'Gene Regulatory Networks', 'Gene Expression Regulation, Neoplastic', 'Single-Cell Gene Expression Analysis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729462
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Maytansine', 'Immunoconjugates', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'Folate Receptor 1', 'Progression-Free Survival']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729341
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Animals', 'Mice', 'Neoplasms', 'Drug Carriers', 'Cell Line, Tumor', 'Macromolecular Substances', 'Protein Binding', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729330
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Child', 'Neoplasms', 'Gait Disorders, Neurologic', 'Antineoplastic Agents', 'Gait', 'Range of Motion, Articular', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729314
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Radiation Oncology', 'Radiologists', 'Peer Review', 'Peer Review, Health Care', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727835
+Predictions: ['Cancer']
+MeshTerm: ['Biosensing Techniques', 'Humans', 'Drug Discovery', 'Neoplasms', 'Antineoplastic Agents', 'Fluorescence', 'Fluorescence Resonance Energy Transfer', 'Signal Transduction', 'Luminescent Measurements', 'Pentacyclic Triterpenes']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727719
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neutropenia', 'Antineoplastic Agents', 'Anemia', 'Thrombocytopenia', 'Neoplasms', 'Intercellular Signaling Peptides and Proteins', 'Granulocyte Colony-Stimulating Factor', 'Receptors, Thrombopoietin', 'Cytopenia']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727703
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Early Detection of Cancer', 'Female', 'Male', 'Aged', 'Middle Aged', 'Neoplasms', 'Oncology Nursing', 'Health Services Accessibility', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727701
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Frailty', 'Neoplasms', 'Retrospective Studies', 'Aged, 80 and over', 'Prognosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727700
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Neoplasms', 'Patient Reported Outcome Measures', 'Psychometrics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727690
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Empathy', 'Neoplasms', 'Nurse-Patient Relations', 'Oncology Nursing', 'Qualitative Research']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727688
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Neoplasms', 'Cross-Sectional Studies', 'Male', 'Female', 'Malnutrition', 'Aged, 80 and over', 'Nutritional Status', 'Surveys and Questionnaires', 'Nutrition Assessment', 'Diet', 'Symptom Burden']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727686
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Exercise', 'Exercise Therapy', 'Neoplasms', 'Quality of Life', 'Randomized Controlled Trials as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727684
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Methadone', 'Neuralgia', 'Cancer Pain', 'Analgesics, Opioid', 'Neoplasms', 'Quality of Life']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727683
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Cancer Survivors', 'Male', 'Adult', 'Adolescent', 'Neoplasms', 'Young Adult', 'Fertility', 'Cohort Studies', 'Surveys and Questionnaires', 'Canada', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Health Literacy', 'Fear', 'Neoplasms', 'Neoplasm Recurrence, Local', 'Disease Progression']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727182
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patents as Topic', 'Ataxia Telangiectasia Mutated Proteins', 'Neoplasms', 'Antineoplastic Agents', 'Animals', 'Protein Kinase Inhibitors', 'Drug Development', 'Molecular Targeted Therapy', 'DNA Breaks, Double-Stranded']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726750
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cerebral Hemorrhage', 'Retrospective Studies', 'Middle Aged', 'Propensity Score', 'Risk Factors', 'Neoplasms', 'Aged', 'Prognosis', 'Neutrophils', 'Hemoglobins', 'China', 'ROC Curve']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726590
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Cell Movement', 'Immunotherapy', 'Mesenchymal Stem Cell Transplantation', 'Mesenchymal Stem Cells', 'Neoplasms', 'Tumor Microenvironment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726589
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Bibliometrics', 'Methylation', 'Tumor Microenvironment', 'RNA', 'Lymphocytes, Tumor-Infiltrating', 'Animals', 'RNA Methylation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726379
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Lipid Metabolism', 'Neoplasms', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726369
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Reactive Oxygen Species', 'Glutathione', 'Photochemotherapy', 'Animals', 'Tumor Microenvironment', 'Nanostructures', 'Antineoplastic Agents', 'Photosensitizing Agents', 'Antioxidants', 'Immunotherapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726308
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Connective Tissue Diseases', 'Vasculitis', 'Immunologic Factors', 'Immunomodulating Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726258
+Predictions: ['Cancer']
+MeshTerm: ['Vaccinia virus', 'Humans', 'Animals', 'Cell Line, Tumor', 'Mice', 'Mice, Nude', 'Virus Replication', 'Oncolytic Viruses', 'Oncolytic Virotherapy', 'RNA-Binding Proteins', 'Neoplasms', 'Xenograft Model Antitumor Assays', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726139
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Retrospective Studies', 'Female', 'Male', 'Japan', 'Middle Aged', 'Exercise', 'Smartphone', 'Databases, Factual', 'Aged', 'Adult', 'Cohort Studies', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726004
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Taiwan', 'Qualitative Research', 'Guideline Adherence', 'Practice Guidelines as Topic', 'Neoplasms', 'Quality of Health Care', 'Case Managers', 'Medical Oncology', 'Interviews as Topic', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 4], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710468
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Allergens', 'Adult', 'Adolescent', 'Child', 'China', 'Middle Aged', 'Child, Preschool', 'Cross-Sectional Studies', 'Young Adult', 'Infant', 'Aged', 'Immunoglobulin E', 'Aged, 80 and over', 'Animals', 'Skin Diseases', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707265
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Quality of Life', 'China', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Incineration', 'Adult', 'Surveys and Questionnaires', 'Residence Characteristics', 'Aged', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nitrogen Dioxide', 'Republic of Korea', 'Cross-Over Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Air Pollutants', 'Young Adult', 'Adolescent', 'Child, Preschool', 'Child', 'Air Pollution', 'Infant', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39694698
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Scotland', 'Male', 'Female', 'Air Pollution', 'Prospective Studies', 'Middle Aged', 'Particulate Matter', 'Hospitalization', 'Environmental Exposure', 'Adult', 'Nitrogen Dioxide', 'Aged', 'Air Pollutants', 'Sulfur Dioxide', 'Cardiovascular Diseases', 'Longitudinal Studies', 'Young Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39694558
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nebulizers and Vaporizers', 'Child', 'Administration, Inhalation', 'Respiratory Tract Diseases', 'Asthma', 'Home Care Services', 'Practice Guidelines as Topic', 'Respiratory Therapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684326
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'Mast Cells', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684250
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Endocrine Disruptors', 'Humans', 'Respiratory System', 'Animals', 'Oxidative Stress', 'Respiratory Tract Diseases', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39661886
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Child', 'Male', 'Homeostasis', 'Minerals', 'Vitamins', 'Ascorbic Acid', 'Respiratory Tract Diseases', 'Vitamin D', 'Recurrence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39661885
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Male', 'Antioxidants', 'Female', 'Ascorbic Acid', 'Interleukin-6', 'Glutathione Peroxidase', 'Hydrocortisone', 'Ferritins', 'Tumor Necrosis Factor-alpha', 'Respiratory Tract Diseases', 'Acute Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39659714
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Workplace', 'Occupational Diseases', 'Respiratory Tract Diseases', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39643329
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Adult', 'Prospective Studies', 'Nitrogen Dioxide', 'China', 'Aged', 'Environmental Exposure', 'Incidence', 'Musculoskeletal Diseases', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Air Pollutants', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39642570
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mustard Gas', 'Male', 'Biomarkers', 'Cross-Sectional Studies', 'Adult', 'Chemical Warfare Agents', 'Veterans', 'Middle Aged', 'Respiratory Tract Diseases', 'Iran']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39640901
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Plants, Medicinal', 'Humans', 'Tanzania', 'Male', 'Female', 'Respiratory Tract Diseases', 'Adult', 'Middle Aged', 'Health Knowledge, Attitudes, Practice', 'Medicine, African Traditional', 'Aged', 'Phytotherapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39633457
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Respiratory Tract Diseases', 'Nanoparticles', 'Microplastics', 'Inhalation Exposure', 'Air Pollutants', 'Animals', 'Respiratory System']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39633418
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Hospitalization', 'Child', 'Male', 'Female', 'Air Pollutants', 'Cross-Over Studies', 'Child, Preschool', 'COVID-19', 'Respiratory Tract Diseases', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Infant', 'Sulfur Dioxide', 'SARS-CoV-2', 'Adolescent', 'Nitrogen Dioxide', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39632975
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Lung Neoplasms', 'Genome-Wide Association Study', 'Ketone Bodies', 'Polymorphism, Single Nucleotide', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39620702
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Climate Change', 'Air Pollution', 'Particulate Matter', 'Environmental Exposure', 'Ozone', 'Respiratory Tract Diseases', 'Air Pollutants']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39617287
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'Female', 'Hypersensitivity', 'Male', 'France', 'Dietary Exposure', 'Child', 'Cohort Studies', 'Child, Preschool', 'Pesticides', 'Respiratory Tract Diseases', 'Environmental Pollutants']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39615506
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Cardiovascular Diseases', 'Environmental Exposure', 'Fires', 'Global Burden of Disease', 'Global Health', 'Health Impact Assessment', 'Mortality', 'Ozone', 'Particulate Matter', 'Respiratory Tract Diseases', 'Wildfires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39608993
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Australia', 'Adult', 'Adolescent', 'Hospitalization', 'Aged', 'Young Adult', 'Child', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Infant, Newborn', 'Aged, 80 and over', 'Sex Distribution', 'Age Distribution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39607106
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Brazil', 'Hospitalization', 'Adolescent', 'Spatio-Temporal Analysis', 'Child', 'Respiratory Tract Diseases', 'Young Adult', 'Adult', 'Socioeconomic Factors', 'Child, Preschool', 'Female', 'Male', 'Middle Aged', 'Aged', 'Cluster Analysis', 'Infant', 'Urban Population', 'Space-Time Clustering', 'Cities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39603392
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Asia', 'Chronic Disease', 'Quality of Life', 'Qigong', 'Yoga', 'Tai Ji', 'Resistance Training', 'Respiratory Tract Diseases', 'Exercise Therapy', 'Exercise Tolerance', 'Practice Guidelines as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39578996
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Adult', 'Aged', 'China', 'Aged, 80 and over', 'Hand Strength', 'Respiratory Tract Diseases', 'Muscle, Skeletal', 'Muscle Strength', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39578779
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Signal Transduction', 'Animals', 'Smad5 Protein', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39570415
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nutrition Surveys', 'Middle Aged', 'Male', 'Female', 'Adult', 'Aged', 'Antioxidants', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Aged, 80 and over', 'Infant', 'Chronic Disease', 'Child', 'Diet', 'United States', 'Respiratory Tract Diseases', 'Risk Factors', 'Mortality', 'Respiration Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39570333
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Vietnam', 'Humans', 'Hospitalization', 'Male', 'Female', 'Middle Aged', 'Temperature', 'Aged', 'Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Young Adult', 'Infant', 'Cardiovascular Diseases', 'Child, Preschool', 'Child', 'Poverty', 'Infant, Newborn', 'Aged, 80 and over', 'Risk']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39566943
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fukushima Nuclear Accident', 'Japan', 'Retrospective Studies', 'Male', 'Female', 'Aged', 'Middle Aged', 'Adult', 'Cause of Death', 'Young Adult', 'Adolescent', 'Child', 'Aged, 80 and over', 'Child, Preschool', 'Infant', 'Disasters', 'Earthquakes', 'Respiratory Tract Diseases', 'Cardiovascular Diseases', 'Suicide', 'Infant, Newborn', 'Neoplasms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [2, 3]]
+---------------------------------
+---------------------------------
+PMID: 39566532
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Exosomes', 'Humans', 'Respiratory Tract Diseases', 'Animals', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39550655
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Particulate Matter', 'Middle Aged', 'Aged', 'Adult', 'Cohort Studies', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Neoplasms', 'Air Pollution', 'Air Pollutants', 'Cardiovascular Diseases', 'Italy', 'Rivers', 'Young Adult', 'Proportional Hazards Models', 'Manufacturing and Industrial Facilities', 'Adolescent', 'Cause of Death', 'Industry', 'Nitrogen Oxides', 'Child, Preschool', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39544058
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Volatile Organic Compounds', 'Air Pollution, Indoor', 'Pulmonary Disease, Chronic Obstructive', 'Respiratory Tract Diseases', 'Asthma', 'Sick Building Syndrome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39543369
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bipolar Disorder', 'Pulmonary Disease, Chronic Obstructive', 'Asthma', 'Prevalence', 'Female', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Male', 'Pneumonia', 'Odds Ratio', 'Respiration Disorders', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39537245
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cell Communication', 'Extracellular Vesicles', 'Animals', 'Lung', 'Lung Diseases', 'Signal Transduction', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39530346
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollution', 'Environmental Exposure', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Environmental Monitoring', 'Air Filters', 'Child', 'Exercise', 'Aged', 'Air Pollutants', 'Masks']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39521464
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nepal', 'Child', 'Risk Factors', 'Female', 'Research Design', 'Male', 'Longitudinal Studies', 'Adult', 'Adolescent', 'Parents', 'Child, Preschool', 'Air Pollution', 'Respiratory Tract Diseases', 'Cohort Studies', 'Life Style', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39515807
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'RNA, Untranslated', 'RNA, Long Noncoding', 'Epigenesis, Genetic', 'MicroRNAs', 'Respiratory Tract Diseases', 'RNA, Circular']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39513278
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biomarkers', 'Female', 'Air Pollutants', 'Respiratory Tract Diseases', 'Chronic Disease', 'Environmental Exposure', 'Air Pollution', 'Acute Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39505076
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Particulate Matter', 'Republic of Korea', 'Cardiovascular Diseases', 'Humans', 'Air Pollutants', 'Air Pollution', 'Hospitalization', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39503908
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Occupational Injuries', "Workers' Compensation", 'Seasons', 'Middle Aged', 'Occupational Diseases', 'Emergency Responders', 'Mental Disorders', 'Firefighters', 'Victoria', 'Musculoskeletal Diseases', 'Wildfires', 'Respiratory Tract Diseases', 'Young Adult', 'Police']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39502059
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Sounds', 'Respiratory Tract Diseases', 'Auscultation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39494780
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Antioxidants', 'Diet', 'Hypersensitivity', 'Child, Preschool', 'Inflammation', 'Male', 'Birth Cohort', 'Multimorbidity', 'Adult', 'Maternal Nutritional Physiological Phenomena', 'Infant', 'Respiratory Tract Diseases', 'Asthma', 'Prenatal Exposure Delayed Effects', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39494537
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Caregivers', 'Chronic Disease', 'Patient Education as Topic', 'Health Literacy', 'Palliative Care', 'Advance Care Planning', 'Decision Making, Shared', 'Learning', 'Respiratory Tract Diseases', 'Health Knowledge, Attitudes, Practice', 'Adaptation, Psychological', 'Decision Making']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39494092
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Europe', 'Nitrogen Dioxide', 'Ozone', 'Respiratory Tract Diseases', 'World Health Organization']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39493756
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Computational Biology', 'User-Computer Interface', 'Databases, Factual', 'Respiratory Tract Diseases', 'Software']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39489274
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Republic of Korea', 'Humans', 'Female', 'Male', 'Temperature', 'Middle Aged', 'Seasons', 'Aged', 'Cardiovascular Diseases', 'Mortality', 'Adult', 'Child', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Infant', 'Aged, 80 and over', 'Respiratory Tract Diseases', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Chronic respiratory disease']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39477760
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Spain', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Adolescent', 'Young Adult', 'Cause of Death', 'Aged, 80 and over', 'Child', 'Child, Preschool', 'Infant', 'Respiratory Tract Diseases', 'Mortality', 'Pandemics', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39472952
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'South Africa', 'Quality of Life', 'Child, Preschool', 'Infant', 'Male', 'Female', 'Delphi Technique', 'Surveys and Questionnaires', 'Respiratory Tract Diseases', 'Infant, Newborn', 'Psychometrics', 'Respiratory Tract Infections']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39468133
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'South Africa', 'Female', 'Male', 'Eggs', 'Gastrointestinal Diseases', 'Infant Nutritional Physiological Phenomena', 'Respiratory Tract Diseases', 'Incidence', 'Morbidity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39466470
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bone Morphogenetic Protein 2', 'Signal Transduction', 'Animals', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Hypertension, Pulmonary']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39465586
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Comorbidity', 'Patient Readmission', 'Length of Stay', 'Middle Aged', 'Retrospective Studies', 'Heart Failure', 'Prospective Studies', 'Hypertension', 'Myocardial Ischemia', 'Pulmonary Heart Disease', 'Aged, 80 and over', 'Prevalence', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462582
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Ozone', 'Japan', 'Particulate Matter', 'Humans', 'Air Pollutants', 'Cities', 'Aged', 'Female', 'Mortality', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'Air Pollution', 'Hot Temperature', 'Temperature', 'Respiratory Tract Diseases', 'Environmental Exposure', 'Young Adult', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39462039
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Gastrointestinal Microbiome', 'Genome-Wide Association Study', 'Lung', 'Respiratory Tract Diseases', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39457304
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'Dust', 'Adult', 'Male', 'Occupational Exposure', 'Ethiopia', 'Female', 'Paper', 'Middle Aged', 'Cough', 'Prevalence', 'Young Adult', 'Respiratory Tract Diseases', 'Respiratory Sounds', 'Surveys and Questionnaires', 'Occupational Diseases', 'Industry', 'Dyspnea', 'Air Pollutants, Occupational']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39453518
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'Aged', 'Female', 'Male', 'Cross-Over Studies', 'Altitude', 'Air Pollutants', 'Respiratory Tract Diseases', 'China', 'Extreme Weather', 'Aged, 80 and over', 'Middle Aged', 'Cities', 'Air Pollution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39444957
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Adolescent', 'Adult', 'Child', 'Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39444118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Middle Aged', 'Heating', 'Prospective Studies', 'Female', 'Male', 'Respiratory Tract Diseases', 'Proportional Hazards Models', 'China', 'Smoking', 'Risk Factors', 'Adult', 'Air Pollution, Indoor']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39443904
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Netherlands', 'Female', 'Male', 'Adult', 'Middle Aged', 'Smoke', 'Wood', 'Air Pollutants', 'Environmental Exposure', 'Aged', 'Particulate Matter', 'Respiratory Tract Diseases', 'Glucose']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39439241
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Switzerland', 'Humans', 'History, 20th Century', 'History, 21st Century', 'History, 17th Century', 'History, 16th Century', 'Respiratory Tract Diseases', 'Male', 'Female', 'History, 18th Century', 'History, 19th Century', 'Adult', 'Middle Aged', 'Respiration Disorders', 'Aged', 'Child', 'Adolescent', 'Air Pollution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39436432
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Prospective Studies', 'Child', 'Respiratory Tract Diseases', 'Male', 'Female', 'Air Pollutants', 'Particulate Matter', 'Air Pollution', 'Child Health', 'Environmental Exposure', 'Air Pollution, Indoor', 'Adolescent', 'Environmental Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39435892
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'United Kingdom', 'Particulate Matter', 'Male', 'Female', 'Middle Aged', 'Aged', 'Proportional Hazards Models', 'Environmental Exposure', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Mortality', 'Time Factors', 'Air Pollution', 'Air Pollutants', 'Adult', 'Cohort Studies', 'Machine Learning', 'Respiratory Tract Diseases', 'UK Biobank']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39434079
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Air Pollution', 'Respiratory Tract Diseases', 'Risk Assessment', 'Air Pollutants', 'Reproducibility of Results']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39424664
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollution', 'Particulate Matter', 'Air Pollutants', 'Meteorological Concepts', 'Respiratory Tract Diseases', 'Iran', 'Sulfur Dioxide', 'Nitrogen Dioxide', 'Random Forest']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39424373
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Surveys and Questionnaires', 'Child', 'Quality Improvement', 'Documentation', 'Preoperative Care', 'Pediatrics', 'Respiration Disorders', 'Respiratory Tract Diseases', 'Preoperative Period']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39423508
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Phthalic Acids', 'Male', 'Female', 'Child', 'China', 'Cardiovascular Diseases', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Anthropometry', 'Dust', 'Schools', 'Endocrine Disruptors', 'Risk Assessment', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39421822
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ambulances', 'China', 'Middle Aged', 'Cardiovascular Diseases', 'Temperature', 'Aged', 'Adult', 'Emergency Medical Services', 'Respiratory Tract Diseases', 'Seasons']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39419650
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Omalizumab', 'Anti-Inflammatory Agents, Non-Steroidal', 'Antibodies, Anti-Idiotypic', 'Asthma, Aspirin-Induced', 'Anti-Allergic Agents', 'Drug Hypersensitivity', 'Respiratory Tract Diseases', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39419227
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Microbiota', 'Air Microbiology', 'Middle Aged', 'Cross-Sectional Studies', 'China', 'Prevalence', 'Adult', 'Female', 'Aged', 'Air Pollution, Indoor', 'Respiratory Tract Diseases', 'Male', 'Plants', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39410863
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Africa', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Infections', 'Respiratory Tract Diseases', 'Female', 'Risk Factors', 'Family Characteristics', 'Child', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39408565
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'TRPV Cation Channels', 'Receptors, Adrenergic, beta-2', 'Animals', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39406209
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Northern Territory', 'Animals', 'Smoke', 'Turtles', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39395132
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Sarcopenia', 'Genome-Wide Association Study', 'Body Mass Index', 'Respiratory Tract Diseases', 'Male', 'Pulmonary Disease, Chronic Obstructive', 'Female', 'Smoking', 'Pneumoconiosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394579
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Japan', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Tobacco Products', 'Surveys and Questionnaires', 'Internet', 'Smoking', 'Hot Temperature', 'Aged', 'Young Adult', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39391315
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Liquid-Liquid Extraction', 'Signal Transduction', 'Phase Separation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39389134
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Particulate Matter', 'Aged', 'Humans', 'Air Pollutants', 'Risk Assessment', 'China', 'Air Pollution', 'Environmental Exposure', 'Fossil Fuels', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39384295
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Rain', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Global Health', 'Cause of Death', 'Mortality', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39384238
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Observational Studies as Topic', 'Respiratory Tract Diseases', 'Systematic Reviews as Topic', 'Walking']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39374569
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Saliva', 'Breath Tests', 'Respiratory Tract Diseases', 'Exhalation', 'Electrochemical Techniques', 'Equipment Design']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39370174
+Predictions: ['Chronic respiratory disease', 'Mental Health']
+MeshTerm: ['Humans', 'Comorbidity', 'Mental Disorders', 'Respiratory Tract Diseases', 'Quality of Life', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39370173
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mental Disorders', 'Tuberculosis, Pulmonary', 'Tuberculosis', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39366894
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Prenatal Exposure Delayed Effects', 'Smoking', 'Child', 'Infant, Newborn', 'Respiratory Tract Diseases', 'Adolescent', 'Maternal Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39364938
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'United Kingdom', 'Veterinary Medicine', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39362458
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Residence Characteristics', 'Aged', 'Mortality', 'Cities', 'Middle Aged', 'Aging', 'Cardiovascular Diseases', 'Male', 'Female', 'Neoplasms', 'Respiratory Tract Diseases', 'Adult', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39362179
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Pilot Projects', 'Aged', 'Male', 'Chronic Disease', 'Female', 'Exercise Therapy', 'Prospective Studies', 'Problem Solving', 'Physical Functional Performance', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39353528
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Taiwan', 'Humans', 'Cardiovascular Diseases', 'Climate Change', 'Temperature', 'Middle Aged', 'Aged', 'Adult', 'Respiratory Tract Diseases', 'Male', 'Female', 'Seasons', 'Vulnerable Populations', 'Young Adult', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 4], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39354585
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Chemoradiotherapy', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39352090
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Slovakia', 'Occupational Diseases', 'Adult', 'Male', 'Female', 'Prevalence', 'Middle Aged', 'Agriculture', 'Occupational Exposure', 'Manufacturing Industry', 'Asthma, Occupational', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39348213
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['China', 'Air Pollutants', 'Humans', 'Bayes Theorem', 'Particulate Matter', 'Air Pollution', 'Respiratory Tract Diseases', 'Sulfur Dioxide', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39338131
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Brazil', 'Humans', 'Male', 'Female', 'Mortality', 'Middle Aged', 'Adult', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Cardiovascular Diseases', 'Temperature', 'Hot Temperature', 'Aged, 80 and over', 'Infant, Newborn']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39334540
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Italy', 'Child', 'Pesticides', 'Female', 'Male', 'Adolescent', 'Environmental Exposure', 'Surveys and Questionnaires', 'Risk Factors', 'Health Status', 'Logistic Models', 'Agriculture', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39332351
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Wildfires', 'Smoke', 'Occupational Exposure', 'Firefighters', 'Respiratory Tract Diseases', 'Respiratory Function Tests']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39331188
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'COVID-19', 'Glioma', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Adult', 'Aged', 'Brain Neoplasms', 'SEER Program', 'Young Adult', 'Pandemics', 'Respiratory Tract Diseases', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39323116
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Vietnam', 'Male', 'Female', 'Prospective Studies', 'Infant', 'Infant, Newborn', 'Intensive Care Units, Pediatric', 'Infant, Premature', 'Critical Illness', 'Respiration, Artificial', 'Length of Stay', 'Child, Preschool', 'Respiratory Tract Diseases', 'Infant, Premature, Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39316790
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'China', 'Male', 'Female', 'Middle Aged', 'Cohort Studies', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases', 'Aged', 'Air Pollutants', 'Air Pollution']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39316681
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Mechanotransduction, Cellular', 'Stress, Mechanical', 'Extracellular Matrix', 'Respiratory Mechanics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39314792
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Air Pollutants', 'Particulate Matter', 'Respiratory Function Tests', 'Air Pollution', 'Nitrogen Dioxide', 'Environmental Exposure', 'Chronic Disease', 'Male', 'Forced Expiratory Volume', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39304964
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bronchoscopy', 'Infant, Newborn', 'Retrospective Studies', 'Male', 'Female', 'Fiber Optic Technology', 'Respiratory Tract Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39293035
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Tract Diseases', 'Pediatrics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Aged', 'Depression', 'Longitudinal Studies', 'Social Support', 'Cognition', 'Risk Factors', 'Anxiety']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733208
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Female', 'Male', 'Cross-Sectional Studies', 'Apolipoproteins B', 'Cholesterol', 'Brazil', 'Genetic Predisposition to Disease', 'Risk Factors', 'Cardiovascular Diseases', 'Dyslipidemias', 'Apolipoprotein B-100', 'Polymorphism, Genetic', 'Alleles', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Air Pollution', 'Air Pollutants', 'Iran', 'Meteorological Concepts', 'Particulate Matter', 'Seasons', 'Sulfur Dioxide', 'Climate Change', 'Weather', 'Random Forest']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733154
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Triglycerides', 'Arthritis', 'Blood Glucose', 'Nutrition Surveys', 'Risk Factors', 'Adult', 'Aged', 'Proportional Hazards Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733150
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Ethiopia', 'Humans', 'Cardiovascular Diseases', 'Drugs, Essential', 'Cross-Sectional Studies', 'Health Services Accessibility', 'Drugs, Generic', 'Drug Costs']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733137
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Manganese', 'Cardiovascular Diseases', 'Adult', 'Male', 'Female', 'Middle Aged', 'United States', 'Cross-Sectional Studies', 'Nutrition Surveys', 'Aged', 'Young Adult', 'Risk Factors', 'Bayes Theorem']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732966
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Dyslipidemias', 'Humans', 'Turkey', 'Delphi Technique', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cholesterol, LDL', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'PCSK9 Inhibitors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Young Adult', 'Longitudinal Studies', 'Male', 'Adolescent', 'Female', 'Cardiovascular Diseases', 'Universities', 'Cardiometabolic Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732415
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Troponin T', 'Aged', 'Male', 'Female', 'Follow-Up Studies', 'Natriuretic Peptide, Brain', 'Cardiovascular Diseases', 'Aged, 80 and over', 'Biomarkers', 'Peptide Fragments']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731858
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Myocardial Ischemia', 'Wearable Electronic Devices', 'Randomized Controlled Trials as Topic', 'Myocardial Infarction', 'Hospitalization', 'Cardiovascular Diseases', 'Stroke']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731821
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Cardiovascular Diseases', 'Saliva', 'Lab-On-A-Chip Devices', 'Immunoassay', 'Interleukin-6', 'C-Reactive Protein', 'Equipment Design', 'Procalcitonin', 'Limit of Detection']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bacteria', 'Biomarkers', 'Blood Glucose', 'Cardiometabolic Risk Factors', 'Cardiovascular Diseases', 'China', 'Cholesterol, HDL', 'Cholesterol, LDL', 'Cohort Studies', 'East Asian People', 'Feces', 'Gastrointestinal Microbiome', 'Indoleacetic Acids', 'Indoles', 'Propionates', 'Triglycerides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731058
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'United States', 'Middle Aged', 'Depression', 'Adult', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Aged', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730958
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Triglycerides', 'Female', 'Middle Aged', 'Cardiovascular Diseases', 'Blood Glucose', 'Aged', 'Retrospective Studies', 'Cross-Sectional Studies', 'Atherosclerosis', 'China', 'Risk Factors', 'Longitudinal Studies', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730871
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Genome-Wide Association Study', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Carotid Intima-Media Thickness', 'Genetic Pleiotropy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730843
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Electrocardiography', 'Male', 'Female', 'Middle Aged', 'Smoking', 'Adult', 'Cotinine', 'Arrhythmias, Cardiac', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730815
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chile', 'Male', 'Female', 'Exercise', 'Adult', 'Middle Aged', 'Depression', 'Cardiometabolic Risk Factors', 'Obesity', 'Prevalence', 'Overweight', 'Risk Factors', 'Aged', 'Young Adult', 'Cardiovascular Diseases', 'Waist Circumference', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730152
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Cross-Sectional Studies', 'Dyslipidemias', 'Middle Aged', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Diet', 'Aged, 80 and over', 'Logistic Models', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729514
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Tobacco Smoke Pollution', 'Global Burden of Disease', 'Male', 'Female', 'Disability-Adjusted Life Years', 'Middle Aged', 'Global Health', 'Adult', 'Aged', 'Quality-Adjusted Life Years']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729492
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'United States', 'Nutrition Surveys', 'Bayes Theorem', 'Environmental Exposure', 'Metals', 'Aged', 'Proportional Hazards Models', 'Cause of Death', 'Lead']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729424
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Polymorphism, Single Nucleotide', 'Genome-Wide Association Study', 'Male', 'Female', 'Phenotype', 'Norway', 'Genetic Predisposition to Disease', 'Cardiovascular Diseases', 'Phenomics', 'Middle Aged', 'Linkage Disequilibrium', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727377
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Middle Aged', 'Blood Pressure', 'Renal Dialysis', 'Crystalloid Solutions', 'Osmotic Pressure', 'Aged', 'Kidney Failure, Chronic', 'Cardiovascular Diseases', 'Risk Factors', 'Adult', 'ROC Curve']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Glycogen Synthase Kinase 3 beta', 'Cardiovascular Diseases', 'Wnt Signaling Pathway', 'Animals', 'Adipose Tissue', 'beta Catenin', 'Metabolic Syndrome', 'Metabolic Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725697
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Klotho Proteins', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prospective Studies', 'Adult', 'Nutrition Surveys', 'Aged', 'Cause of Death', 'Depression', 'Proportional Hazards Models', 'Mortality', 'Depressive Disorder']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725339
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'beta Catenin', 'Cardiovascular Diseases', 'Receptors, Notch', 'Wnt Signaling Pathway']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724625
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Ukraine', 'Middle Aged', 'Emergency Responders', 'Adult', 'Military Personnel', 'Electrocardiography', 'Radiation Exposure', 'Occupational Exposure', 'Hypertension', 'Echocardiography', 'Cardiovascular System', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724119
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mental Disorders', 'Male', 'Adult', 'Female', 'Middle Aged', 'Schizophrenia', 'Mass Screening', 'Healthy Lifestyle', 'Occupational Therapy', 'Cardiovascular Diseases', 'Pilot Projects', 'Risk Factors', 'Physical Therapy Modalities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39723980
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Delphi Technique', 'Fatty Liver', 'Mass Screening', 'Metabolic Syndrome', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39723782
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Risk Factors', 'SARS-CoV-2', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723699
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Female', 'Male', 'Middle Aged', 'Obesity', 'Cohort Studies', 'Cardiovascular Diseases', 'China', 'Body Mass Index', 'Adult', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39722803
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Testosterone', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Triglycerides', 'Nutrition Surveys', 'Insulin Resistance', 'Cholesterol, HDL', 'Aged', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722158
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Comorbidity', 'Kidney Diseases', 'Masked Hypertension', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721760
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Administration, Inhalation', 'Bronchodilator Agents', 'Cardiovascular Diseases', 'England', 'Adrenal Cortex Hormones', 'Middle Aged', 'Heart Failure', 'Acute Coronary Syndrome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39721361
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Sleep Apnea, Obstructive', 'Humans', 'Cardiovascular Diseases', 'China', 'Consensus', 'Risk Factors', 'Delphi Technique', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719690
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Neoplasms', 'Cardiovascular Diseases', 'Prognosis', 'Risk Factors', 'Antineoplastic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719674
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Regenerative Medicine', 'Myocytes, Cardiac', 'Carbon', 'Cell Differentiation', 'Animals', 'Quantum Dots', 'Pluripotent Stem Cells', 'Cardiovascular Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719571
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Nutrition Surveys', 'Adult', 'United States', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Young Adult', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719456
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Neoplasms', 'Male', 'Female', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Middle Aged', 'Risk Factors', 'Aged', 'Nutrition Surveys', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719431
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asian', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prevalence', 'Adult', 'Aged', 'Sleep', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Cross-Sectional Studies', 'Health Surveys', 'Sleep Duration']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719421
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Assessment', 'Risk Factors', 'Potassium', 'Aged, 80 and over', 'Arrhythmias, Cardiac', 'Retrospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719405
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Adult', 'Nutrition Surveys', 'Chronic Disease', 'United States', 'Cardiovascular Diseases', 'Aged', 'Health Status', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719315
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Neoplasms', 'Male', 'Nephrectomy', 'Female', 'Middle Aged', 'Propensity Score', 'Aged', 'Retrospective Studies', 'Cardiovascular Diseases', 'Risk Factors', 'Carcinoma, Renal Cell']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39718412
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Tea', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'China', 'Aged, 80 and over', 'Longitudinal Studies', 'Proportional Hazards Models', 'Longevity', 'Mortality', 'Middle Aged', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39717783
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Cardiovascular Diseases', 'Heart Disease Risk Factors', 'Periodontitis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717036
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Sweden', 'Middle Aged', 'Female', 'Cardiovascular Diseases', 'Aged', 'Aged, 80 and over', 'Incidence', 'Surveys and Questionnaires', 'Risk Factors', 'Sugar-Sweetened Beverages', 'Diet', 'Dietary Sugars']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717032
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Obesity', 'Middle Aged', 'Adult', 'Retrospective Studies', 'Neoplasms', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Phenotype', 'Proportional Hazards Models', 'Risk Factors', 'Cause of Death', 'Aged', 'Age Factors', 'Body Mass Index', 'Kaplan-Meier Estimate']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39715781
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Prospective Studies', 'Risk Factors', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Fatty Liver', 'Cause of Death', 'Metabolic Diseases', 'Nutrition Surveys']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39715477
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Aged', 'Ischemic Attack, Transient', 'Middle Aged', 'Cardiovascular Diseases', 'Netherlands', 'Cohort Studies', 'Risk Factors', 'Aged, 80 and over', 'Stroke']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 4], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39714500
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Potassium', 'Risk Factors', 'Cardiovascular Diseases', 'Electrocardiography']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Patient Care Team', 'Chronic Disease', 'Italy', 'Multimorbidity', 'Telemedicine', 'Cardiology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714021
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Exercise', 'Life Style', 'Metabolic Syndrome', 'Primary Health Care', 'Risk Factors', 'Weight Loss']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39713140
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neoplasms', 'Lipid Peroxidation', 'Reperfusion Injury', 'Cardiovascular Diseases', 'Inflammatory Bowel Diseases', 'Alzheimer Disease', 'Iron', 'Acute Kidney Injury', 'Stroke', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 4], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39712314
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Incidence', 'Microclimate', 'China', 'Cerebrovascular Disorders', 'Meteorological Concepts', 'Temperature', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39711839
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'South Africa', 'Tertiary Care Centers', 'Retrospective Studies', 'Adult', 'Male', 'Middle Aged', 'Magnetic Resonance Imaging', 'Young Adult', 'Aged', 'Cardiovascular Diseases', 'Adolescent', 'Hospitals, Public', 'Contrast Media', 'Aged, 80 and over', 'Heart Diseases', 'Child', 'Child, Preschool', 'Medical Audit']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710789
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Neovascularization, Pathologic', 'Neoplasms', 'Inflammation', 'Cardiovascular Diseases', 'Animals', 'Neurodegenerative Diseases', 'Angiogenesis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 4], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39710702
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neurodegenerative Diseases', 'Cardiovascular Diseases', 'Neoplasms', 'Animals', 'Molecular Targeted Therapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710576
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Middle Aged', 'Adult', 'Cross-Over Studies', 'Inflammation', 'Endotoxemia', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Diet', 'Polyphenols', 'Edible Grain', 'Feces', 'Bacteria', 'Fatty Acids, Omega-3', 'Dietary Fiber', 'Intestines']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710465
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypersensitivity', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709856
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'China', 'Middle Aged', 'Ambulances', 'Aged', 'Adult', 'Emergency Medical Dispatch', 'Temperature', 'Incidence', 'Adolescent', 'Child']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[3, 2], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39709650
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Energy Metabolism', 'Lipid Metabolism', 'Signal Transduction', 'Stearic Acids', 'Stearoyl-CoA Desaturase']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709627
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Drug Therapy, Combination', 'Hyperlipidemias', 'Hypolipidemic Agents', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cardiovascular Diseases', 'Cholesterol, LDL', 'Animals', 'Triglycerides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709554
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Feces', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Proteomics', 'Middle Aged', 'Heart Failure', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Proteome', 'Bacteria', 'Risk Factors', 'Diet']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709369
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asthma', 'Male', 'Female', 'Adult', 'Middle Aged', 'Nutrition Surveys', 'Inflammation', 'Cause of Death', 'Cardiovascular Diseases', 'Aged', 'United States', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709364
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'Postoperative Complications', 'Cardiovascular Diseases', 'Abdomen', 'Risk Assessment', 'Nomograms', 'Retrospective Studies', 'Aged, 80 and over', 'Risk Factors', 'Predictive Value of Tests', 'ROC Curve', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Insulin Resistance', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Sex Factors', 'Risk Factors', 'Cause of Death', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708590
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Sleep Apnea, Obstructive', 'Cardiovascular Diseases', 'Quality of Life', 'Heart Disease Risk Factors', 'Sex Factors', 'Risk Factors', 'Prevalence', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708140
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Osteoarthritis', 'Middle Aged', 'Aged', 'Heart Disease Risk Factors', 'Prevalence', 'Hand Joints', 'Comorbidity', 'Cardiovascular Diseases', 'Hand Strength', 'Quality of Life', 'Risk Factors', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707266
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Vascular Stiffness', 'Breathing Exercises', 'Randomized Controlled Trials as Topic', 'Pulse Wave Analysis', 'Resistance Training', 'Cardiovascular Diseases', 'Exercise', 'Quality of Life', 'Respiratory Muscles', 'Aged', 'Ankle Brachial Index', 'Male', 'Exercise Therapy', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Mental Health', 'Biomedical Research', 'Delphi Technique', 'Mental Health Services']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726658
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Exercise', 'Self Report', 'Adolescent', 'Students', 'China', 'Child', 'Schools', 'Mental Health', 'Surveys and Questionnaires', 'Health Surveys', 'Sedentary Behavior', 'Depression']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726069
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Substance-Related Disorders', 'Middle Aged', 'Heart Transplantation', 'Heart-Assist Devices', 'Adult', 'Databases, Factual', 'Incidence', 'Mental Health', 'Quality of Life', 'Aged', 'Mental Disorders', 'Waiting Lists', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725888
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Pregnancy', 'Adult', 'Cross-Sectional Studies', 'Pregnancy, Unplanned', 'Parents', 'Mental Health', 'Reproductive Techniques, Assisted', 'Young Adult', 'Stress, Psychological', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725758
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'Pandemics', 'SARS-CoV-2', 'Japan', 'Male', 'Suicide', 'Female', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724226
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Germany', 'Cross-Sectional Studies', 'Mental Health', 'Adult', 'Surveys and Questionnaires', 'Young Adult', 'Stress, Psychological', 'Students', 'Occupational Stress', 'Universities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724125
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Stress Disorders, Post-Traumatic', 'Survivors', 'Middle Aged', 'Adult', 'Anxiety', 'Risk Factors', 'Depression', 'Prevalence', 'Aged', 'Comorbidity', 'Sex Factors', 'Sleep Initiation and Maintenance Disorders', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724115
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Empathy', 'Global Health', 'Mental Health', 'Existentialism', 'Warfare']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724057
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Female', 'Humans', 'Male', 'Young Adult', 'COVID-19', 'Depression', 'East Asian People', 'Mental Health', 'Pandemics', 'Republic of Korea', 'Social Media']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722713
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Child, Preschool', 'Cross-Sectional Studies', 'China', 'Screen Time', 'Surveys and Questionnaires', 'Mental Health', 'Parents', 'Psychological Well-Being']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722022
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Loneliness', 'Adolescent', 'Male', 'Female', 'Cross-Sectional Studies', 'Urban Population', 'Young Adult', 'Adult', 'Mental Health', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720811
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Mental Health', 'China', 'Middle Aged', 'Adult', 'Emotions', 'Surveys and Questionnaires', 'Aged', 'Adolescent', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719817
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Hospitals, General', 'Psychiatry', 'Mental Health Services', 'Japan', 'Psychiatric Department, Hospital', 'Referral and Consultation', 'Mental Disorders', 'Surveys and Questionnaires', 'Mental Health', 'Psychiatrists']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719755
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Humans', 'Ozone', 'Mental Health', 'Nitrogen Dioxide', 'Male', 'Female', 'Child', 'China', 'Air Pollutants', 'Environmental Exposure', 'Schools', 'Cross-Sectional Studies', 'Air Pollution', 'Students']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719653
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Capital', 'Students', 'Social Media', 'Japan', 'Universities', 'Male', 'Female', 'Young Adult', 'Mental Health', 'Adult', 'Loneliness', 'Health Status', 'Personality', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716066
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Quality of Life', 'Pakistan', 'Myocardial Infarction', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Health Status', 'Risk Factors', 'Mental Health', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715637
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Biomedical Research', 'Circadian Rhythm', 'Information Dissemination', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715235
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Colombia', 'Emigrants and Immigrants', 'Venezuela', 'Female', 'Male', 'United States', 'Child', 'Adult', 'Child Welfare', 'Parents', 'Stress, Psychological', 'Surveys and Questionnaires', 'Adolescent', 'Middle Aged', 'Mental Health', 'Child, Preschool']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Ukraine', 'Mental Health Services', 'Health Services Accessibility', 'Pandemics', 'Quality of Health Care', 'SARS-CoV-2', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714844
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Aged', 'England', 'Middle Aged', 'Longitudinal Studies', 'Personal Satisfaction', 'Cohort Studies', 'Depression', 'Mental Health', 'Health Status', 'Social Support', 'Health Behavior', 'Cluster Analysis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39713741
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Substance-Related Disorders', 'Social Stigma', 'Sexism', 'Mental Health', 'Racism', 'Mental Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39712316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'China', 'Mental Health', 'Internet Use', 'Middle Aged', 'Residence Characteristics', 'Aged, 80 and over', 'Independent Living', 'Surveys and Questionnaires', 'Internet', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39712299
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Mental Health', 'Aged', 'Social Environment', 'Female', 'Male', 'Middle Aged', 'Residence Characteristics', 'Surveys and Questionnaires', 'Neighborhood Characteristics', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39711409
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Pilots', 'Aerospace Medicine', 'Mental Health', 'United States']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39711341
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aerospace Medicine', 'Mental Health', 'Delphi Technique', 'Aviation', 'Research', 'Societies, Medical', 'Occupational Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39711028
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Refugees', 'Syria', 'Psychological Distress', 'Female', 'Jordan', 'Male', 'Follow-Up Studies', 'Child', 'Single-Blind Method', 'Stress Disorders, Post-Traumatic', 'Depression', 'Stress, Psychological', 'Behavior Therapy', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710807
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Cross-Sectional Studies', 'Female', 'Adult', 'Male', 'Workplace Violence', 'Burnout, Professional', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Nursing Staff, Hospital', 'Taiwan']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Quality of Life', 'Romania', 'Male', 'Female', 'Prospective Studies', 'Tuberculosis, Multidrug-Resistant', 'Middle Aged', 'Adult', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Surveys and Questionnaires', 'Aged', 'Cohort Studies', 'Longitudinal Studies', 'Psychological Well-Being']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710684
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Ontario', 'Pregnancy', 'Retrospective Studies', 'Adult', 'Social Class', 'Pregnancy Complications', 'Anxiety', 'Depression', 'Young Adult', 'Residence Characteristics', 'Mental Health', 'Cohort Studies', 'Educational Status', 'Mental Disorders', 'Income']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710634
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'United Kingdom', 'Adult', 'Cross-Sectional Studies', 'Mental Health', 'Domestic Violence', 'Middle Aged', 'Social Support', 'Resilience, Psychological', 'Pandemics', 'Young Adult', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710627
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Literacy', 'Adolescent', 'Anxiety', 'Depression', 'Mental Health', 'Health Education']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710497
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'China', 'Aged', 'Risk Factors', 'Middle Aged', 'Depression', 'Longitudinal Studies', 'Health Status', 'Mental Health', 'Aged, 80 and over', 'Rural Population', 'Logistic Models']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710338
+Predictions: ['Cancer', 'Mental Health']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Adolescent', 'Young Adult', 'Female', 'Male', 'Internet-Based Intervention', 'Mindfulness', 'Adult', 'Emotional Regulation', 'Quality of Life', 'Mental Health', 'Depression', 'Neoplasms', 'Research Design', 'Adaptation, Psychological', 'Digital Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709458
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Child', 'Humans', 'Adaptation, Psychological', 'Child Behavior', 'Mental Disorders', 'Mental Health', 'Multicenter Studies as Topic', 'Norway', 'Parents', 'Pragmatic Clinical Trials as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709340
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Mental Health', 'Research Design', 'Outcome Assessment, Health Care', 'Mental Disorders', 'Treatment Outcome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709337
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sufentanil', 'Male', 'Cough', 'Female', 'Ketamine', 'Middle Aged', 'Prospective Studies', 'Adult', 'Anesthesia, General', 'Anesthetics, Intravenous', 'Mental Health', 'Double-Blind Method']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709183
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Health Promotion']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709182
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'United States', "Women's Health", 'Racial Groups', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708948
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Asthma', 'Metals, Heavy', 'Male', 'Adult', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Republic of Korea', 'Mental Health', 'Suicidal Ideation', 'Environmental Exposure', 'Air Pollutants', 'Young Adult', 'Depression', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707472
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'General Practitioners', 'Self Care', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Burnout, Professional', 'Surveys and Questionnaires', 'Mental Health', 'Anxiety', 'SARS-CoV-2', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706574
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Pregnancy', 'Perinatal Care', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706486
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Binge Drinking', 'Male', 'Middle Aged', 'Spain', 'Longitudinal Studies', 'Health Behavior', 'Mental Health', 'Health Status', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706485
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Support', 'Male', 'Female', 'Longitudinal Studies', 'Adult', 'Stress, Psychological', 'Middle Aged', 'Depressive Disorder, Major', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Young Adult', 'Aged', 'Risk Factors', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706484
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Ukraine', 'Armed Conflicts', 'Refugees']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39705174
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Humans', 'Male', 'Young Adult', 'Adaptation, Psychological', 'Black or African American', 'HIV Infections', 'Interviews as Topic', 'Mental Health', 'Qualitative Research', 'Sexual and Gender Minorities', 'Social Stigma']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704003
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Diagnostic and Statistical Manual of Mental Disorders', 'International Classification of Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703482
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Adolescent', 'Mental Health', 'Reproductive Health', 'Sexual Behavior', 'Sexual Health', 'Menstruation', 'Health Knowledge, Attitudes, Practice']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703180
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Qualitative Research', 'Male', 'Female', 'Pharmacists', 'Adult', 'England', 'Middle Aged', 'Focus Groups', 'Mental Health', 'Community Pharmacy Services', 'Depression', 'Interviews as Topic', 'Professional Role', 'Anxiety']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39702091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Lebanon', 'Primary Health Care', 'Social Stigma', 'Qualitative Research', 'Mental Disorders', 'Male', 'Female', 'Attitude of Health Personnel', 'Health Personnel', 'Adult', 'Interviews as Topic', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39701588
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'COVID-19', 'Mental Health', 'Female', 'Male', 'Mental Health Services', 'United States', 'Child', 'Emotions', 'Telemedicine', 'Social Skills', 'School Mental Health Services']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39700572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Machine Learning', 'Mental Health', 'Adult', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39700155
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Mental Health', 'United Kingdom', 'Adolescent', 'Young Adult', 'Loneliness', 'Adult', 'Sex Factors', 'Pandemics', 'SARS-CoV-2', 'Longitudinal Studies', 'Aged', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699982
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Italy', 'Prospective Studies', 'COVID-19', 'Internship and Residency', 'Male', 'Female', 'Adult', 'Depression', 'Anxiety', 'Mental Health', 'Stress Disorders, Post-Traumatic', 'Pandemics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699544
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Chikungunya Fever', 'Arthralgia', 'Middle Aged', 'Adult', 'Chronic Disease', 'Mental Health', 'Cross-Sectional Studies', 'Depression', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699441
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Brazil', 'Transgender Persons', 'Health Services Accessibility', 'Male', 'Female', 'Primary Health Care', 'National Health Programs', 'Interviews as Topic', 'Health Personnel', 'Health Services for Transgender Persons', 'Qualitative Research', 'Adult', 'Health Policy', 'Mental Health', 'Transsexualism', 'Young Adult', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699366
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Mental Health', 'Health Promotion', 'Occupational Health', 'Guidelines as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697298
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Female', 'Humans', 'Male', 'China', 'COVID-19', 'East Asian People', 'Mental Disorders', 'Mental Health', 'Risk Factors', 'Students', 'Suicidal Ideation', 'Surveys and Questionnaires']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697006
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Services Accessibility', 'Health Literacy', 'Mexico', 'Female', 'Male', 'Adolescent', 'Child', 'Adult', 'Surveys and Questionnaires', 'Parents', 'Mental Health', 'Middle Aged', 'Health Behavior']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696336
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Intimate Partner Violence', 'Female', 'Sex Offenses', 'Canada', 'Male', 'Transgender Persons', 'Surveys and Questionnaires', 'Crime Victims', 'Research', 'Stakeholder Participation', 'Mental Health', 'Health Priorities']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696264
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Ownership', 'Housing', 'Behavioral Risk Factor Surveillance System', 'Aged', 'United States', 'Mental Health', 'Prevalence', 'Depressive Disorder']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696245
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sudan', 'Cross-Sectional Studies', 'Child', 'Female', 'Adolescent', 'Male', 'Refugees', 'Mental Health', 'Surveys and Questionnaires', 'Stress Disorders, Post-Traumatic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696093
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Students', 'Universities', 'United Kingdom', 'Young Adult', 'Exercise', 'Cohort Studies', 'Life Style', 'Ethnicity', 'COVID-19', 'Health Behavior', 'Sex Factors', 'Adult', 'Adolescent', 'Body Mass Index', 'Diet', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695709
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Patient Selection', 'Mental Disorders', 'Mental Health', 'Randomized Controlled Trials as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695633
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Adverse Childhood Experiences', 'Female', 'England', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Criminal Law', 'Health Status', 'Surveys and Questionnaires', 'Aged', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Video Games', 'Universities', 'Mental Health', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695547
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Military Personnel', 'Female', 'Male', 'Cross-Sectional Studies', 'China', 'Adult', 'Stress Disorders, Post-Traumatic', 'COVID-19', 'Sleep Initiation and Maintenance Disorders', 'Prevalence', 'Young Adult', 'Depression', 'Anxiety', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Adolescent', 'East Asian People']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695533
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Belgium', 'Male', 'Female', 'Multimorbidity', 'Middle Aged', 'Adult', 'Aged', 'Health Surveys', 'Mental Disorders', 'Quality of Life', 'Young Adult', 'Mental Health', 'Adolescent', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695518
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Military Personnel', 'Male', 'Social Support', 'Adult', 'Personal Satisfaction', 'Female', 'Mental Health', 'Depression', 'Longitudinal Studies', 'Young Adult', 'Surveys and Questionnaires', 'Cross-Sectional Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695274
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Female', 'Male', 'Young Adult', 'Depression', 'Universities', 'China', 'Surveys and Questionnaires', 'Mental Health', 'Adolescent', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693620
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mobile Applications', 'Adult', 'Mental Health', 'Health Behavior', 'Life Style', 'Exercise', 'Telemedicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693599
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Adult', 'Middle Aged', 'Mental Health', 'Mental Disorders', 'Aged', 'Schizophrenia', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39691047
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Burnout, Professional', 'Mental Health', 'Organizational Culture', 'Leadership', 'Health Personnel', 'Job Satisfaction', 'Ontario']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39691046
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Canada', 'Mental Health', 'Occupational Health', 'Workplace', 'Health Personnel', 'Organizational Culture', 'Surveys and Questionnaires', 'Patient Safety', 'Safety Management']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39691045
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Health Personnel', 'Mental Health', 'Occupational Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39690437
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'South Australia', 'Housing', 'Male', 'Female', 'Adult', 'Middle Aged', 'Food Security', 'Health Status', 'Mental Health', 'Health Surveys', 'Socioeconomic Factors', 'Adolescent', 'Food Insecurity', 'Aged', 'Chronic Disease', 'Young Adult', 'Food Supply']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39690123
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Adolescent Development', 'Young Adult', 'Adult', 'Child', 'Mental Health']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39690113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mexico', 'Adolescent', 'Male', 'Female', 'Racism', 'Mental Disorders', 'Qualitative Research', 'Mental Health', 'Mental Health Services', 'Young Adult', 'Interviews as Topic', 'Health Services Accessibility', 'Urban Population', 'Urban Health', 'Indigenous Peoples', 'Patient Acceptance of Health Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733989
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Hypoglycemia', 'Male', 'Adult', 'Female', 'Blood Glucose', 'Hyperglycemia', 'Exercise', 'Child', 'Young Adult', 'Cohort Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Time Factors', 'Insulin', 'Blood Glucose Self-Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39715178
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Telemedicine', 'Child', 'Quality of Life', 'Rural Population', 'Child, Preschool', 'Parents', 'Mentoring', 'Occupational Therapy', 'Double-Blind Method', 'Pilot Projects', 'Glycated Hemoglobin', 'Self Efficacy', 'Adult', 'Parenting']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714936
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Aged', 'Male', 'Insulin Infusion Systems', 'Insulin', 'Cross-Over Studies', 'Aged, 80 and over', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Glycated Hemoglobin', 'Blood Glucose Self-Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710861
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Cross-Sectional Studies', 'Child', 'Lipase', 'India', 'Amylases', 'Biomarkers', 'Young Adult', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Prognosis', 'Adult', 'Exocrine Pancreatic Insufficiency']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39708266
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats', 'Muscle, Skeletal', 'Drugs, Chinese Herbal', 'Insulin-Secreting Cells', 'Male', 'Adipose Tissue', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707866
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Pilot Projects', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Middle Aged', 'Cognitive Dysfunction', 'Adult', 'Early Diagnosis', 'Aged', 'Retina', 'Visual Field Tests', 'Diabetic Retinopathy', 'Fixation, Ocular', 'Neuropsychological Tests']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39707182
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Female', 'Child', 'Metabolomics', 'Adolescent', 'Metabolome', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Biomarkers', 'Metabolic Networks and Pathways', 'Machine Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39706675
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Retrospective Studies', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1', 'Blood Glucose', 'Hypoglycemic Agents', 'Risk Factors', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39706641
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats, Wistar', 'Diabetic Neuropathies', 'NF-kappa B', 'Male', 'Diabetes Mellitus, Experimental', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 1', 'Streptozocin', 'Gabapentin', 'Glycation End Products, Advanced', 'Signal Transduction', 'Rats', 'Oxidative Stress', 'Disease Models, Animal']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706517
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Magnetic Resonance Imaging', 'Adult', 'Neuralgia', 'Diabetic Neuropathies', 'Middle Aged', 'Brain', 'Cerebral Cortex']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39704278
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cytokines', 'Diabetes Mellitus, Type 1', 'Child', 'Chemokines', 'Adolescent', 'Sex Factors', 'Disease Progression', 'Child, Preschool', 'Intercellular Signaling Peptides and Proteins', 'Pilot Projects', 'Biomarkers', 'Sex Characteristics', 'Case-Control Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39704171
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 1', 'Mice', 'Interleukin-2', 'Disease Models, Animal', 'Interleukin-2 Receptor alpha Subunit', 'Interleukin-1 Receptor-Like 1 Protein', 'Interleukin-33', 'Mice, Inbred NOD', 'Female', 'Signal Transduction', 'CD8-Positive T-Lymphocytes', 'Islets of Langerhans', 'Th1 Cells', 'Interleukin-10', 'Autoimmunity', 'Recombinant Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39704022
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Bioengineering', 'Animals', 'Genomics', 'Insulin-Secreting Cells', 'Proteomics', 'Insulin', 'Islets of Langerhans']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39703896
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Receptors, Calcitriol', 'South Africa', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Black People', 'Adult', 'Case-Control Studies', 'Vitamin D', 'Genotype', 'Young Adult', 'Polymorphism, Restriction Fragment Length', 'Polymorphism, Single Nucleotide', 'Genetic Predisposition to Disease', 'Middle Aged', 'Adolescent']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39703609
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'SARS-CoV-2', 'Acute Kidney Injury', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39702941
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Dendritic Cells', 'Humans', 'Macrophages', 'Immune Tolerance', 'Receptors, Cytoplasmic and Nuclear', 'Mitochondria', 'Male', 'Female', 'Phenotype']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39701114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diabetic Ketoacidosis', 'Adolescent', 'Female', 'Male', 'Child', 'Hypoglycemia', 'Young Adult', 'Insulin', 'Hypoglycemic Agents', 'Insulin Infusion Systems', 'Child, Preschool', 'Blood Glucose', 'Prospective Studies', 'Cohort Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39699995
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Adult', 'Female', 'Male', 'Insulin', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Hypoglycemic Agents', 'Retrospective Studies', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39697323
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'MicroRNAs', 'Insulin-Secreting Cells', 'Enterovirus B, Human', 'Coxsackievirus Infections', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Insulin', 'Trophoblasts']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696373
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Deep Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696094
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Sirolimus', 'Genetic Diseases, X-Linked', 'Diarrhea', 'Immunosuppressive Agents', 'Forkhead Transcription Factors', 'Immune System Diseases', 'Infant', 'Mutation', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39692076
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Histamine', 'Female', 'Adult', 'Hot Temperature', 'Middle Aged', 'Diabetic Neuropathies', 'Axons', 'Neural Conduction', 'Reflex', 'Sural Nerve', 'Young Adult', 'ROC Curve', 'Neurologic Examination']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39691822
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'New Zealand', 'Cross-Sectional Studies', 'Adolescent', 'Child', 'Diabetes Mellitus, Type 1', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Prevalence', 'Child, Preschool', 'Adult', 'Glycated Hemoglobin', 'Primary Health Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39689816
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Female', 'Middle Aged', 'Depression', 'Adult', 'Glycated Hemoglobin', 'Prevalence', 'Sex Factors', 'Surveys and Questionnaires', 'Self-Management']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39689633
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Parents', 'Qualitative Research', 'Child', 'Adolescent', 'Child, Preschool', 'Interviews as Topic', 'Infant', 'Hospitalization', 'Adult', 'Self Care', 'Self-Management', 'Perception', 'Social Support']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39688288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Male', 'Adult', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 1', 'Medically Underserved Area', 'California', 'Florida']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39686350
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Female', 'Spectroscopy, Near-Infrared', 'Blood Glucose', 'Male', 'Middle Aged', 'Prospective Studies', 'Diabetes Mellitus, Type 2', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39686207
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Neural Networks, Computer', 'Blood Glucose', 'Internet of Things', 'Deep Learning', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Forecasting']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39683492
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Isomaltose', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Middle Aged', 'Cross-Over Studies', 'Adult', 'Exercise', 'Insulin', 'Blood Glucose', 'Insulin Infusion Systems', 'Glucagon', 'Glucagon-Like Peptide 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39683465
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Female', 'Humans', 'Diabetes Mellitus, Type 1', 'Dietary Supplements', 'Dipeptidyl-Peptidase IV Inhibitors', 'Insulin-Secreting Cells', 'Latent Autoimmune Diabetes in Adults', 'Vitamin D', 'Vitamin D Deficiency']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39682744
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Extracellular Vesicles', 'Humans', 'Insulin-Secreting Cells', 'Cell Communication', 'Animals', 'Islets of Langerhans', 'Cellular Microenvironment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39682729
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Intestinal Mucosa', 'Inflammatory Bowel Diseases', 'Celiac Disease', 'Protein Tyrosine Phosphatases', 'Animals', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39682726
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Organoids', 'Alzheimer Disease', 'Herpesvirus 1, Human', 'Brain', 'Herpes Simplex', 'Islets of Langerhans', 'Autoimmune Diseases', 'Stem Cells', 'Transcriptome', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39680874
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Aged', 'Diabetes Mellitus, Type 1', 'Caregivers', 'Male', 'Pilot Projects', 'Female', 'Feasibility Studies', 'Quality of Life', 'Middle Aged', 'Self-Management', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39680256
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Glycemic Control', 'Child', 'Diabetes Mellitus, Type 1', 'Parents', 'Child, Preschool', 'Hypoglycemia', 'Stress, Psychological', 'Infant', 'Blood Glucose', 'Parent-Child Relations', 'Fear']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39679900
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Adult', 'Obesity', 'Diabetes Complications', 'Insulin Resistance', 'Young Adult', 'Cardiovascular Diseases', 'Obesity, Metabolically Benign', 'Body Mass Index', 'Follow-Up Studies', 'Adolescent', 'Diabetic Neuropathies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39678192
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Biomarkers', 'Female', 'Lipase', 'Adult', 'Amylases', 'Immunotherapy', 'Trypsin', 'Young Adult', 'Pancreas, Exocrine', 'Adolescent', 'Granulocyte Colony-Stimulating Factor', 'Treatment Outcome', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39676645
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Prospective Studies', 'Adult', 'Systole', 'Diastole', 'Ultrasonography, Prenatal', 'Fetal Heart', 'Diabetes Mellitus, Type 1', 'Echocardiography, Doppler', 'Young Adult', 'Ventricular Function, Left', 'Myocardial Contraction', 'Pregnancy in Diabetics', 'Stroke Volume', 'Diabetes Mellitus, Type 2', 'Heart Ventricles']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39676515
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Health Knowledge, Attitudes, Practice', 'Female', 'Male', 'School Teachers', 'Morocco', 'Adult', 'Surveys and Questionnaires', 'Child', 'Schools', 'Health Education', 'School Health Services']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675543
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Pyroptosis', 'Diabetes Mellitus, Type 1', 'Mice', 'Arsenic', 'Caspase 1', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Diabetes Mellitus, Experimental', 'Male', 'Insulin', 'Reactive Oxygen Species', 'Blood Glucose', 'Streptozocin', 'Phosphate-Binding Proteins', 'Disease Progression', 'Interleukin-18', 'Interleukin-1beta', 'Pancreas', 'Signal Transduction', 'Mice, Inbred C57BL', 'Insulin Resistance', 'Gasdermins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675483
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Insulin Infusion Systems', 'Adolescent', 'Parents', 'Insulin', 'Blood Glucose Self-Monitoring', 'Child', 'Hypoglycemic Agents', 'Patient Acceptance of Health Care', 'Surveys and Questionnaires', 'Blood Glucose', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675356
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Methylenetetrahydrofolate Reductase (NADPH2)', 'Female', 'Male', 'Adolescent', 'Child', 'Interleukin-4', 'Polymorphism, Genetic', 'Diabetic Neuropathies', 'Diabetes Mellitus, Type 1', 'Genotype', 'Genetic Predisposition to Disease', 'Neural Conduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39673446
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cost-Benefit Analysis', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents', 'Models, Economic', 'Glycated Hemoglobin', 'Quality-Adjusted Life Years', 'Randomized Controlled Trials as Topic', 'Algorithms']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673230
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cardiovascular Diseases', 'Australia', 'Risk Assessment', 'Male', 'Female', 'Adult', 'Middle Aged', 'Heart Disease Risk Factors', 'Risk Factors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39670552
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Insulin', 'Child', 'Female', 'Male', 'Needlestick Injuries', 'Injections, Subcutaneous', 'Needles', 'Adolescent', 'Diabetes Mellitus, Type 1', 'Child, Preschool', 'Hypoglycemic Agents', 'Young Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39667114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Child', 'Prospective Studies', 'Pneumococcal Vaccines', 'Seroconversion', 'Pilot Projects', 'Antibodies, Bacterial', 'Child, Preschool', 'Immunoglobulin G', 'Adolescent', 'Vaccination', 'Pneumococcal Infections', 'Glycated Hemoglobin', 'Streptococcus pneumoniae']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39665438
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Insulin-Secreting Cells', 'Diabetes Mellitus, Experimental', 'Cell Survival', 'Anti-Inflammatory Agents', 'Polytetrafluoroethylene', 'Diabetes Mellitus, Type 1', 'Male', 'Macrophages', 'Membranes, Artificial', 'Mice, Inbred C57BL', 'Cell Encapsulation', 'Islets of Langerhans Transplantation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39664107
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Adult', 'Middle Aged', 'Diabetic Neuropathies', 'Female', 'Magnetic Resonance Imaging', 'Olfactory Bulb', 'Aged', 'Young Adult', 'Adolescent', 'Case-Control Studies', 'Smell']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39663236
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Quality of Life', 'Psychometrics', 'Sweden', 'Child', 'Male', 'Female', 'Surveys and Questionnaires', 'Chronic Disease', 'Adolescent', 'Reproducibility of Results', 'Diabetes Mellitus, Type 1', 'Translations', 'Asthma', 'Parents', 'Factor Analysis, Statistical', 'Child, Preschool']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39661959
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Adolescent', 'Male', 'Belgium', 'Longitudinal Studies', 'Young Adult', 'Adult', 'Self Concept']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39658973
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Retrospective Studies', 'Pakistan', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Adult', 'SARS-CoV-2', 'Survival Rate', 'Incidence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39658119
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Diabetes Mellitus, Type 1', 'Child', 'Male', 'Female', 'Retrospective Studies', 'Adolescent', 'Saudi Arabia', 'Child, Preschool', 'Incidence', 'Polyuria', 'Abdominal Pain', 'Polydipsia', 'Vomiting', 'Age Factors', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658013
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Female', 'Male', 'Self Efficacy', 'Quality of Life', 'Jordan', 'Glycemic Control', 'Empowerment', 'Glycated Hemoglobin', 'Child']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39653802
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Exercise', 'Insulin Infusion Systems', 'Insulin', 'Adolescent', 'Child', 'Hypoglycemic Agents', 'Europe', 'Blood Glucose', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39652325
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Male', 'Republic of Korea', 'Adolescent', 'Female', 'Child', 'Incidence', 'Child, Preschool', 'Young Adult', 'Cohort Studies', 'Pandemics', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39652177
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Dermatitis, Atopic', 'Comorbidity', 'Risk Factors', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus', 'Child', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39649224
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Genetic Predisposition to Disease', 'Genome-Wide Association Study', 'Glycated Hemoglobin', 'Mendelian Randomization Analysis', 'Polymorphism, Single Nucleotide', 'Spondylitis, Ankylosing']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39648458
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Fatty Acids, Omega-3', 'Chemokine CXCL9', 'Insulin-Secreting Cells', 'Animals', 'Mice', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Signal Transduction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39645243
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Insulin-Secreting Cells', 'Animals', 'Drug Development', 'Insulin Secretion', 'Insulin', 'Disease Progression', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39644976
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diving', 'Adult', 'Hypoglycemia', 'Male', 'Female', 'Blood Glucose', 'Young Adult', 'Blood Glucose Self-Monitoring', 'Glycated Hemoglobin', 'Adolescent', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39642862
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Islets of Langerhans Transplantation', 'Induced Pluripotent Stem Cells', 'Islets of Langerhans', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39639901
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cost-Benefit Analysis', 'Diabetes Mellitus, Type 2', 'Patient Education as Topic', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39636437
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Mice, Inbred NOD', 'Mice', 'Female', 'Diabetes Mellitus, Type 1', 'Antigens, Differentiation, T-Lymphocyte', 'Antibodies, Monoclonal']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632776
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Glycemic Control', 'Blood Glucose Self-Monitoring', 'Hypoglycemia', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 2', 'Diabetic Angiopathies', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Postprandial Period', 'Clinical Relevance']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39632164
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Female', 'Male', 'Child, Preschool', 'Surveys and Questionnaires', 'Infant', 'Parents', 'Insulin Infusion Systems', 'Patient Satisfaction', 'Blood Glucose', 'Child', 'Caregivers', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39629047
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Drug Administration Schedule', 'Glycated Hemoglobin', 'Hypoglycemia', 'Hypoglycemic Agents', 'Insulin', 'Insulin, Long-Acting', 'Randomized Controlled Trials as Topic', 'Treatment Outcome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39627081
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Retrospective Studies', 'Child', 'Female', 'Male', 'Adolescent', 'Child, Preschool', 'Infant', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 1', 'Insulin, Long-Acting', 'Insulin', 'Infant, Newborn', 'Infusions, Intravenous']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39626097
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'HLA-DR3 Antigen', 'Haplotypes', 'HLA-DR4 Antigen', 'Genetic Predisposition to Disease', 'Male', 'Female', 'Genome-Wide Association Study', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39625868
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Wearable Electronic Devices']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39625848
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Insulin', 'Administration, Cutaneous', 'Needles', 'Drug Delivery Systems', 'Animals', 'Skin', 'Swine', 'Skin Absorption', 'Microinjections', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Humans']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39625039
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, Glucagon', 'Hypoglycemic Agents', 'Blood Glucose', 'Insulin', 'Randomized Controlled Trials as Topic', 'Hypoglycemia', 'Treatment Outcome', 'Antibodies, Monoclonal, Humanized']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622650
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Adolescent', 'Insulin', 'Skin Diseases', 'Hypoglycemic Agents', 'Child, Preschool', 'Lipodystrophy', 'Dermatitis, Contact']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622257
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Registries', 'Child', 'Female', 'Male', 'Longitudinal Studies', 'Adolescent', 'Child, Preschool', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Treatment Outcome', 'Infant', 'Glycemic Control']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622163
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Animals', 'Blood Glucose', 'Tissue Engineering', 'Porosity', 'Human Umbilical Vein Endothelial Cells', 'Tissue Scaffolds', 'Induced Pluripotent Stem Cells', 'Insulin', 'Diabetes Mellitus, Experimental', 'Printing, Three-Dimensional', 'Bioprinting', 'Male', 'Cell Survival', 'Insulin-Secreting Cells', 'Extracellular Matrix']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39621933
+Predictions: ['Diabetes', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Child, Preschool', 'Retrospective Studies', 'Female', 'Blood Glucose', 'Male', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Hospitalization', 'Diabetes Mellitus, Type 1']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39621313
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice, Inbred NOD', 'Interleukin-4', 'Mice', 'Thymus Gland', 'Diabetes Mellitus, Type 1', 'Receptors, Antigen, T-Cell', 'Dendritic Cells', 'Natural Killer T-Cells']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39620918
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Aged', 'Automobile Driving', 'Insulin Infusion Systems', 'Male', 'Female', 'Insulin', 'Cross-Over Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735414
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cognitive Dysfunction', 'Olfaction Disorders', 'Early Diagnosis', 'Biomarkers', 'Smell', 'Magnetic Resonance Imaging', 'Brain']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39734182
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Female', 'Male', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Tibia', 'Periosteum', 'Microcirculation', 'Treatment Outcome', 'Follow-Up Studies', 'Wound Healing', 'Diabetes Mellitus, Type 2', 'Severity of Illness Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39733138
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Diabetes Mellitus, Type 2', 'Humans', 'Osteoarthritis', 'Animals', 'Rats', 'Chondrocytes', 'Cartilage, Articular', 'Up-Regulation', 'Lipopolysaccharide Receptors', 'Male', 'Monocytes', 'Gene Expression Profiling', 'Biomarkers', 'Cell Adhesion Molecules']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39733102
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Monocytes', 'Male', 'Female', 'Middle Aged', 'Apolipoprotein A-I', 'Biomarkers', 'Aged', 'ROC Curve', 'Non-alcoholic Fatty Liver Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732300
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Ferroptosis', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 2', 'Male', 'Drugs, Chinese Herbal', 'Mice', 'Diabetes Mellitus, Experimental', 'Mice, Inbred C57BL', 'Oxidative Stress', 'Liver', 'Diet, High-Fat', 'Lipid Peroxidation', 'Berberine', 'Cell Line', 'Glucosides', 'Flavanones', 'Streptozocin', 'Isoflavones', 'Flavonoids']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731787
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Insulin Resistance', 'Animals', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Mice', 'Triterpenes', 'Male', 'Diabetes Mellitus, Experimental', 'Molecular Structure', 'Structure-Activity Relationship', 'Humans', 'Dose-Response Relationship, Drug', 'Mice, Inbred C57BL']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731761
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Coagulase', 'Comorbidity', 'Diabetes Mellitus, Type 2', 'Staphylococcal Infections', 'Staphylococcus', 'Systemic Inflammatory Response Syndrome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730877
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Non-alcoholic Fatty Liver Disease', 'Triglycerides', 'Middle Aged', 'Male', 'Female', 'Cholesterol, HDL', 'Retrospective Studies', 'Adult', 'Risk Factors', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730670
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Thyroid Hormones', 'Aged', 'Diabetic Nephropathies', 'Diabetic Retinopathy', 'Diabetic Neuropathies', 'Thyrotropin', 'Thyroid Gland', 'Risk Factors', 'Thyroxine']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730430
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Periodontitis', 'Male', 'Female', 'Aged', 'Saliva', 'Biomarkers', 'Gingivitis', 'Adult', 'Microbiota', 'Aged, 80 and over', 'RNA, Ribosomal, 16S']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Female', 'Male', 'Heart Failure', 'Middle Aged', 'Aged', 'Retrospective Studies', 'Diabetes Mellitus, Type 2', 'Republic of Korea']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730078
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sleep Initiation and Maintenance Disorders', 'Prediabetic State', 'Glycated Hemoglobin', 'Cognitive Behavioral Therapy', 'Blood Glucose', 'Male', 'Female', 'Insulin Resistance', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Blood Glucose Self-Monitoring', 'Adult', 'Patient Education as Topic', 'Aged', 'Sleep']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39729922
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Periodontitis', 'Male', 'Rats, Wistar', 'Macrophages', 'Diabetes Mellitus, Experimental', 'Rats', 'Alveolar Bone Loss', 'Vitamin D', 'Phagocytosis', 'Diabetes Mellitus, Type 2', 'Calcium', 'Efferocytosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729784
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Melanoma', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Denmark', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Neoplasm Staging', 'Adult', 'Sex Factors', 'Skin Neoplasms', 'Registries', 'Lymphatic Metastasis', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39729310
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Lectins', 'Male', 'Female', 'GPI-Linked Proteins', 'Middle Aged', 'Periodontitis', 'Cytokines', 'Tumor Necrosis Factor-alpha', 'Adult', 'Biomarkers', 'Cytokine TWEAK', 'Glycated Hemoglobin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729235
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Antioxidants', 'Plant Extracts', 'Animals', 'Hypoglycemic Agents', 'Adipogenesis', 'Mice', 'Adipocytes', 'Apoptosis', 'Asteraceae', '3T3-L1 Cells', 'alpha-Amylases', 'Cell Movement', 'Phenols', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39728692
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Docosahexaenoic Acids', 'Animals', 'Diabetic Retinopathy', 'Mice', 'Humans', 'Electroretinography', 'Retina', 'Tomography, Optical Coherence', 'Male', 'Middle Aged', 'Mice, Inbred C57BL', 'Female', 'Diabetes Mellitus, Experimental', 'Gas Chromatography-Mass Spectrometry', 'Real-Time Polymerase Chain Reaction', 'Diabetes Mellitus, Type 2', 'Aged', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726656
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Israel', 'Female', 'Adolescent', 'Arabs', 'Cross-Sectional Studies', 'Jews', 'Polycystic Ovary Syndrome', 'Hypertension', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Pediatric Obesity', 'Prevalence', 'Male', 'Comorbidity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725431
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Prediabetic State', 'China', 'Diabetes Mellitus, Type 2', 'Randomized Controlled Trials as Topic', 'Prospective Studies', 'Single-Blind Method', 'Telemedicine', 'Multicenter Studies as Topic', 'Cost-Benefit Analysis', 'Male', 'Group Dynamics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725366
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Cognitive Dysfunction', 'Rats', 'Gastrointestinal Microbiome', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley', 'Bile Acids and Salts', 'Hypoglycemic Agents', 'Insulin Resistance', 'Hippocampus', 'Maze Learning']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724976
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Colorectal Neoplasms', 'Mass Screening', 'Prostate-Specific Antigen', 'Chronic Disease', 'Male', 'Guideline Adherence', 'Prostatic Neoplasms', 'Diabetes Mellitus, Type 2', 'HIV Infections', 'Dyslipidemias']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39723533
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Cognitive Dysfunction', 'Mice', 'Network Pharmacology', 'Molecular Docking Simulation', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Diabetes Mellitus, Experimental', 'Protein Interaction Maps', 'Hippocampus', 'Signal Transduction', 'Disease Models, Animal', 'Morris Water Maze Test']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39722814
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Homocysteine', 'Male', 'Female', 'Middle Aged', 'Neural Conduction', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Aged', 'Risk Factors', 'China']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39722811
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'COVID-19', 'Female', 'Male', 'Middle Aged', 'Risk Factors', 'Post-Acute COVID-19 Syndrome', 'Aged', 'Adult', 'Ukraine', 'SARS-CoV-2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39721796
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Gestational Weight Gain', 'White People', 'Adult', 'Retrospective Studies', 'Pregnancy Outcome', 'Obesity', 'COVID-19', 'Pregnancy Complications', 'Black or African American', 'Health Status Disparities', 'Louisiana', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720906
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Testosterone', 'Middle Aged', 'Aged', 'Australia', 'Risk Factors', 'Glucose Tolerance Test', 'Glycated Hemoglobin', 'Prognosis', 'Blood Glucose', 'Glucose Intolerance', 'Life Style', 'Risk Assessment']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720247
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Insulin Resistance', 'Bile Acids and Salts', 'Medicine, Chinese Traditional', 'Precision Medicine', 'Animals']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720175
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glycemic Control', 'Diabetes Mellitus, Type 2', 'Health Education', 'Glycated Hemoglobin', 'Blood Glucose', 'Patient Education as Topic']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720174
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Periapical Periodontitis', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Male', 'Female', 'Middle Aged', 'Root Canal Therapy', 'Adult', 'Romania', 'Tooth, Nonvital', 'Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719839
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'TNF-Related Apoptosis-Inducing Ligand', 'Diabetes Mellitus, Type 2', 'Periodontitis', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Gene Frequency', 'Genotype', 'Blood Glucose', 'Polymorphism, Genetic', 'Glycated Hemoglobin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719724
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Synbiotics', 'Double-Blind Method', 'Male', 'Middle Aged', 'Female', 'Probiotics', 'Blood Glucose', 'Gastrointestinal Microbiome', 'Glycated Hemoglobin', 'Bifidobacterium animalis', 'Insulin Resistance', 'Treatment Outcome', 'Insulin']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719658
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Acute Kidney Injury', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Contrast Media', 'Aged', 'Coronary Angiography', 'Propensity Score', 'Percutaneous Coronary Intervention', 'Creatinine', 'China', 'Incidence', 'Retrospective Studies']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719583
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Liraglutide', 'Sodium-Glucose Transporter 2 Inhibitors', 'Network Meta-Analysis', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Treatment Outcome', 'Glucosides', 'Glycated Hemoglobin', 'Blood Glucose', 'Glucagon-Like Peptide-2 Receptor', 'Gastric Inhibitory Polypeptide', 'Tirzepatide']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719404
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dipeptidyl-Peptidase IV Inhibitors', 'Male', 'Diabetes Mellitus, Type 2', 'Female', 'Middle Aged', 'Sodium-Glucose Transporter 2 Inhibitors', 'Retrospective Studies', 'Aged', 'Hong Kong', 'Treatment Outcome', 'Risk Factors', 'Risk Assessment', 'Myocardial Infarction', 'Thrombosis', 'Time Factors', 'Stroke']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719391
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Blood Glucose', 'Life Style', 'Exercise', 'Aged', 'Sleep', 'Hypoglycemic Agents', 'Follow-Up Studies', 'Precision Medicine', 'Adult', 'Biomarkers', 'Prognosis']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719314
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Biomarkers', 'Black or African American', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glucose Clamp Technique', 'Glucose Tolerance Test', 'Incidence', 'Insulin', 'Insulin Resistance', 'Insulin Secretion', 'Parents', 'Prediabetic State', 'Prognosis', 'Prospective Studies', 'White']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719282
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Qualitative Research', 'Singapore', 'Telemedicine', 'Adult', 'Self Efficacy', 'Aged', 'Health Behavior', 'Asian People', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Blood Pressure']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39719170
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide-1 Receptor', 'Body Composition', 'Network Meta-Analysis as Topic', 'Obesity', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Receptors, Gastrointestinal Hormone', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719165
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin-Secreting Cells', 'Male', 'Glucagon-Like Peptides', 'Mice', 'Gastrointestinal Microbiome', 'Mice, Inbred C57BL', 'Diabetes Mellitus, Type 2', 'Signal Transduction', 'Diabetes Mellitus, Experimental', 'Methyltransferases', 'Diet, High-Fat', 'Hypoglycemic Agents']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718468
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptides', 'Immunoglobulin Fc Fragments', 'Liver', 'Recombinant Fusion Proteins', 'Hypoglycemic Agents', 'Adult', 'Non-alcoholic Fatty Liver Disease', 'Aged', 'Glycated Hemoglobin', 'Blood Glucose', 'Cohort Studies', 'Treatment Outcome']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718016
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Intra-Abdominal Fat', 'Subcutaneous Fat', 'Transcriptome', 'Gene Expression Profiling', 'Macrophages', 'Protein Interaction Maps']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39717105
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Risk Factors', 'Gastrointestinal Diseases', 'Nomograms', 'Aged', 'Hypoglycemic Agents', 'Adult', 'Prognosis', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716666
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Male', 'Female', 'Middle Aged', 'Latent Class Analysis', 'Prospective Studies', 'Aged', 'Exercise', 'Adult', 'Motivation', 'Singapore', 'Educational Status', 'Life Style', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716481
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin Resistance', 'Heat-Shock Response', 'Male', 'Diet, High-Fat', 'Mice, Inbred C57BL', 'HSP70 Heat-Shock Proteins', 'Disease Progression', 'Blood Glucose', 'Mice', 'Hot Temperature', 'Early Diagnosis', 'Diabetes Mellitus, Type 2', 'Obesity', 'Inflammation']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39716335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 2', 'Retinal Degeneration', 'Mice, Inbred C57BL', 'Male', 'Diabetic Retinopathy', 'Retina']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716328
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dementia', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Network Meta-Analysis', 'Observational Studies as Topic', 'Randomized Controlled Trials as Topic', 'Sodium-Glucose Transporter 2 Inhibitors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39716230
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Gangrene', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Acupuncture, Ear', 'Wound Healing', 'Treatment Outcome', 'Amputation, Surgical', 'Acupuncture Points', 'Magnetic Field Therapy']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39716081
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ferroptosis', 'Gene Regulatory Networks', 'Genetic Predisposition to Disease', 'Genomics', 'Male', 'Diabetes Complications', 'Female', 'Gene Expression Profiling', 'Polymorphism, Single Nucleotide', 'Computational Biology', 'Genetic Association Studies', 'Multiomics']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716056
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Bayes Theorem', 'Diabetes Mellitus, Type 2', 'Humans', 'Linear Models', 'Linkage Disequilibrium', 'Quantitative Trait Loci', 'Phenotype', 'Computer Simulation', 'Models, Genetic', 'Genome-Wide Association Study']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715944
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bariatric Surgery', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Glycemic Control', 'Hypoglycemic Agents', 'Obesity, Morbid', 'Recurrence', 'Remission Induction', 'Retrospective Studies', 'Treatment Outcome', 'Weight Loss']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[2, 3], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39715135
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Sulfonylurea Compounds', 'Iraq', 'Sulfonylurea Receptors', 'Case-Control Studies', 'Polymorphism, Single Nucleotide', 'Middle Aged', 'Hypoglycemic Agents', 'Adult']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39713052
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Fatty Acids, Nonesterified', 'Coronary Disease', 'Insulin Resistance']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710901
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710882
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Bone Density', 'Glucagon-Like Peptide-1 Receptor', 'Absorptiometry, Photon', 'Randomized Controlled Trials as Topic', 'Body Composition', 'Diabetes Mellitus, Type 2', 'Bayes Theorem', 'Female', 'Hypoglycemic Agents', 'Male', 'Middle Aged']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710722
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Middle Aged', 'Seasons', 'Aged', 'Metabolic Diseases', 'Calcifediol', 'Prospective Studies', 'Adult', 'Renal Insufficiency, Chronic', 'Biomarkers']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710638
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Risk Factors', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Young Adult', 'Diabetes Mellitus, Type 2', 'China']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710013
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Case-Control Studies', 'Female', 'Male', 'Adolescent', 'Pediatric Obesity', 'Feces', 'Diabetes Mellitus, Type 2', 'Birth Cohort', 'Bacteroides']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710002
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Genome-Wide Association Study', 'Frailty', 'Genetic Pleiotropy', 'Muscle, Skeletal', 'Comorbidity', 'Polymorphism, Single Nucleotide', 'Female', 'Male', 'Phenotype', 'Aged', 'Genetic Predisposition to Disease']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Cognition', 'Cognitive Dysfunction', 'Diabetes Mellitus, Type 2', 'Dipeptidyl-Peptidase IV Inhibitors', 'Drug Therapy, Combination', 'Hypoglycemic Agents', 'Metabolomics', 'Metformin', 'Prospective Studies', 'Sodium-Glucose Transporter 2 Inhibitors']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709924
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'Diet, High-Fat', 'Male', 'Kidney', 'Diabetic Nephropathies', 'Gastrointestinal Microbiome', 'Dysbiosis', 'Isothiocyanates', 'Humans', 'Mice, Inbred C57BL', 'Protective Agents', 'Blood Glucose', 'Streptozocin', 'Sulfoxides', 'Diabetes Mellitus, Type 2', 'Raphanus', 'Oxidative Stress', 'Bacteria', 'Superoxide Dismutase']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[3, 2], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39709519
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Polycystic Ovary Syndrome', 'Female', 'MicroRNAs', 'Biomarkers', 'Metabolic Diseases', 'Insulin Resistance', 'Non-alcoholic Fatty Liver Disease', 'Diabetes Mellitus, Type 2', 'Obesity']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709342
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Aged', 'Blood Glucose', 'Chronic Pain', 'Middle Aged', 'Pain Measurement', 'Aged, 80 and over']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+Time to classify all articles: 8066.402928829193 seconds
+Result confusion matrix: [[921, 1284], [48, 4147]]
+True Positive Rate (TPR): 0.9504643962848297
+True Negative Rate (TNR): 0.7635794512981035
+Precision: 0.41768707482993195
diff --git a/model/results/zero_shot/v1/MoritzLaurer-DeBERTa_v3_base_mnli_fever_anli.txt b/model/results/zero_shot/v1/MoritzLaurer-DeBERTa_v3_base_mnli_fever_anli.txt
new file mode 100644
index 0000000000000000000000000000000000000000..32a1ef71493e9f61130f7f609e45cf36e5ccb9f2
--- /dev/null
+++ b/model/results/zero_shot/v1/MoritzLaurer-DeBERTa_v3_base_mnli_fever_anli.txt
@@ -0,0 +1,20009 @@
+---------------------------------
+MODEL: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
+TRESHOLD: 0.7
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7772870659828186]
+Labels: ['Diabetes']
+Scores: [0.5905289053916931]
+Labels: ['Cancer']
+Scores: [0.4482543468475342]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6554514169692993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.772232174873352]
+Labels: ['Mental Health']
+Scores: [0.2897793650627136]
+Labels: ['Diabetes type 1']
+Scores: [0.6397219896316528]
+Labels: ['Diabetes type 2']
+Scores: [0.6440579295158386]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737504
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Stem Cell Transplantation', 'Cell- and Tissue-Based Therapy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8027374148368835]
+Labels: ['Diabetes']
+Scores: [0.5745143294334412]
+Labels: ['Cancer']
+Scores: [0.6890597939491272]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6254637837409973]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4104323089122772]
+Labels: ['Mental Health']
+Scores: [0.33520615100860596]
+Labels: ['Diabetes type 1']
+Scores: [0.6934347152709961]
+Labels: ['Diabetes type 2']
+Scores: [0.6618034839630127]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736607
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors', 'Employment', 'Socioeconomic Factors', 'Poverty', 'Universal Health Insurance', 'Cost of Illness']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9915955662727356]
+Labels: ['Diabetes']
+Scores: [0.5732806921005249]
+Labels: ['Cancer']
+Scores: [0.5110216736793518]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6653286218643188]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9456791281700134]
+Labels: ['Mental Health']
+Scores: [0.05028872564435005]
+Labels: ['Diabetes type 1']
+Scores: [0.5844730734825134]
+Labels: ['Diabetes type 2']
+Scores: [0.6464717984199524]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732655
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Machine Learning', 'Bias', 'Population Health', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9540630578994751]
+Labels: ['Diabetes']
+Scores: [0.4321941137313843]
+Labels: ['Cancer']
+Scores: [0.18332411348819733]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4671366512775421]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8886590003967285]
+Labels: ['Mental Health']
+Scores: [0.005751349031925201]
+Labels: ['Diabetes type 1']
+Scores: [0.49360644817352295]
+Labels: ['Diabetes type 2']
+Scores: [0.5476521849632263]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731009
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5681034326553345]
+Labels: ['Diabetes']
+Scores: [0.42637667059898376]
+Labels: ['Cancer']
+Scores: [0.3587065637111664]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5294719338417053]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8088897466659546]
+Labels: ['Mental Health']
+Scores: [0.019785281270742416]
+Labels: ['Diabetes type 1']
+Scores: [0.3424200117588043]
+Labels: ['Diabetes type 2']
+Scores: [0.3864542245864868]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725416
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'New Zealand', 'Cross-Sectional Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Adult', 'Comorbidity', 'Censuses', 'Adolescent', 'Young Adult', 'Aged, 80 and over', 'Prevalence', 'Child', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.988078773021698]
+Labels: ['Diabetes']
+Scores: [0.6118082404136658]
+Labels: ['Cancer']
+Scores: [0.2558176815509796]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5890144109725952]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6666481494903564]
+Labels: ['Mental Health']
+Scores: [0.045948371291160583]
+Labels: ['Diabetes type 1']
+Scores: [0.63150554895401]
+Labels: ['Diabetes type 2']
+Scores: [0.652595043182373]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722627
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8590005040168762]
+Labels: ['Diabetes']
+Scores: [0.9544879794120789]
+Labels: ['Cancer']
+Scores: [0.6356956958770752]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5455719232559204]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9837450981140137]
+Labels: ['Mental Health']
+Scores: [0.0021508203353732824]
+Labels: ['Diabetes type 1']
+Scores: [0.021584531292319298]
+Labels: ['Diabetes type 2']
+Scores: [0.9907499551773071]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709790
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['NF-E2-Related Factor 2', 'Humans', 'Animals', 'Noncommunicable Diseases', 'Oxidative Stress', 'Reactive Oxygen Species', 'Oxidation-Reduction', 'Disease Models, Animal', 'Inflammation', 'Gene Expression Regulation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9827238321304321]
+Labels: ['Diabetes']
+Scores: [0.6851128935813904]
+Labels: ['Cancer']
+Scores: [0.13326714932918549]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5292081236839294]
+Labels: ['Cardiovascular diseases']
+Scores: [0.35067376494407654]
+Labels: ['Mental Health']
+Scores: [0.013322880491614342]
+Labels: ['Diabetes type 1']
+Scores: [0.7585344314575195]
+Labels: ['Diabetes type 2']
+Scores: [0.7463584542274475]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39702198
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'India', 'Middle Aged', 'Aged, 80 and over', 'Noncommunicable Diseases', 'Cost of Illness', 'Disability-Adjusted Life Years', 'Sex Factors', 'Age Factors', 'Global Burden of Disease', 'Wounds and Injuries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4879690110683441]
+Labels: ['Diabetes']
+Scores: [0.5828361511230469]
+Labels: ['Cancer']
+Scores: [0.4843003451824188]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5837892889976501]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5610362887382507]
+Labels: ['Mental Health']
+Scores: [0.10721275955438614]
+Labels: ['Diabetes type 1']
+Scores: [0.5914191007614136]
+Labels: ['Diabetes type 2']
+Scores: [0.5940426588058472]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699459
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Brazil', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Chronic Disease', 'Noncommunicable Diseases', 'Prevalence', 'Health Surveys', 'Young Adult', 'Adolescent', 'Sex Distribution', 'Socioeconomic Factors', 'Cost of Illness', 'Multimorbidity', 'Sociodemographic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9612836837768555]
+Labels: ['Diabetes']
+Scores: [0.5160894989967346]
+Labels: ['Cancer']
+Scores: [0.36197805404663086]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4629839062690735]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4987868666648865]
+Labels: ['Mental Health']
+Scores: [0.003086165292188525]
+Labels: ['Diabetes type 1']
+Scores: [0.5421332716941833]
+Labels: ['Diabetes type 2']
+Scores: [0.548706591129303]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697299
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Multimorbidity', 'Noncommunicable Diseases', 'Health Expenditures', 'Prevalence', 'Aged', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9703519344329834]
+Labels: ['Diabetes']
+Scores: [0.14112775027751923]
+Labels: ['Cancer']
+Scores: [0.030042707920074463]
+Labels: ['Chronic respiratory disease']
+Scores: [0.30592256784439087]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4178950786590576]
+Labels: ['Mental Health']
+Scores: [0.01036244910210371]
+Labels: ['Diabetes type 1']
+Scores: [0.329388290643692]
+Labels: ['Diabetes type 2']
+Scores: [0.3514513075351715]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696316
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Thailand', 'Humans', 'Noncommunicable Diseases', 'Stakeholder Participation', 'Health Policy', 'Sustainable Development', 'Intersectoral Collaboration', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6305321455001831]
+Labels: ['Diabetes']
+Scores: [0.17089471220970154]
+Labels: ['Cancer']
+Scores: [0.007420897949486971]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6830047965049744]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9424322247505188]
+Labels: ['Mental Health']
+Scores: [0.005263468250632286]
+Labels: ['Diabetes type 1']
+Scores: [0.45229583978652954]
+Labels: ['Diabetes type 2']
+Scores: [0.418875515460968]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696309
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22600962221622467]
+Labels: ['Diabetes']
+Scores: [0.9039890170097351]
+Labels: ['Cancer']
+Scores: [0.00010962158557958901]
+Labels: ['Chronic respiratory disease']
+Scores: [8.86506968527101e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016503417282365263]
+Labels: ['Mental Health']
+Scores: [6.991427653701976e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.34834039211273193]
+Labels: ['Diabetes type 2']
+Scores: [0.42259231209754944]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9837523102760315]
+Labels: ['Diabetes']
+Scores: [0.4216555953025818]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4115636646747589]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5813740491867065]
+Labels: ['Mental Health']
+Scores: [0.1826379895210266]
+Labels: ['Diabetes type 1']
+Scores: [0.40662866830825806]
+Labels: ['Diabetes type 2']
+Scores: [0.4241795241832733]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693027
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9941351413726807]
+Labels: ['Diabetes']
+Scores: [0.9542849063873291]
+Labels: ['Cancer']
+Scores: [0.927655816078186]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9288656711578369]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9610118865966797]
+Labels: ['Mental Health']
+Scores: [0.38453689217567444]
+Labels: ['Diabetes type 1']
+Scores: [0.8688760995864868]
+Labels: ['Diabetes type 2']
+Scores: [0.8547475337982178]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 6], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39683555
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Female', 'Italy', 'Exercise', 'Feeding Behavior', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Knowledge, Attitudes, Practice', 'Young Adult', 'Child', 'Adolescent Behavior', 'Surveys and Questionnaires', 'Health Risk Behaviors', 'Risk-Taking', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5997986197471619]
+Labels: ['Diabetes']
+Scores: [0.24308645725250244]
+Labels: ['Cancer']
+Scores: [0.02159435860812664]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15149357914924622]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19442932307720184]
+Labels: ['Mental Health']
+Scores: [0.005069856531918049]
+Labels: ['Diabetes type 1']
+Scores: [0.3164469003677368]
+Labels: ['Diabetes type 2']
+Scores: [0.2859611511230469]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9705715179443359]
+Labels: ['Diabetes']
+Scores: [0.4167638123035431]
+Labels: ['Cancer']
+Scores: [0.25527453422546387]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4274542033672333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5889711380004883]
+Labels: ['Mental Health']
+Scores: [0.1424209326505661]
+Labels: ['Diabetes type 1']
+Scores: [0.4527038037776947]
+Labels: ['Diabetes type 2']
+Scores: [0.46628937125205994]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9662874341011047]
+Labels: ['Diabetes']
+Scores: [0.2879104018211365]
+Labels: ['Cancer']
+Scores: [0.03421996906399727]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4851336181163788]
+Labels: ['Cardiovascular diseases']
+Scores: [0.41648900508880615]
+Labels: ['Mental Health']
+Scores: [0.0009060769807547331]
+Labels: ['Diabetes type 1']
+Scores: [0.3689277172088623]
+Labels: ['Diabetes type 2']
+Scores: [0.36303266882896423]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9805793166160583]
+Labels: ['Diabetes']
+Scores: [0.37545502185821533]
+Labels: ['Cancer']
+Scores: [0.07019705325365067]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4169002175331116]
+Labels: ['Cardiovascular diseases']
+Scores: [0.030733000487089157]
+Labels: ['Mental Health']
+Scores: [0.026539063081145287]
+Labels: ['Diabetes type 1']
+Scores: [0.4247763752937317]
+Labels: ['Diabetes type 2']
+Scores: [0.425403892993927]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.979414701461792]
+Labels: ['Diabetes']
+Scores: [0.46375516057014465]
+Labels: ['Cancer']
+Scores: [0.29659271240234375]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2455722689628601]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8653503060340881]
+Labels: ['Mental Health']
+Scores: [0.0018916053231805563]
+Labels: ['Diabetes type 1']
+Scores: [0.4698079228401184]
+Labels: ['Diabetes type 2']
+Scores: [0.5060896873474121]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658798
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Translational Research, Biomedical', 'Humans', 'Ethiopia', 'Capacity Building', 'Decision Making', 'Research Personnel', 'Public Health', 'Malawi', 'Uganda', 'Noncommunicable Diseases', 'Cooperative Behavior', 'South Africa', 'Delivery of Health Care', 'Africa', 'Rwanda', 'Administrative Personnel', 'Focus Groups', 'Surveys and Questionnaires', 'Evidence-Based Practice', 'Qualitative Research', 'Health Policy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1399753987789154]
+Labels: ['Diabetes']
+Scores: [0.12166933715343475]
+Labels: ['Cancer']
+Scores: [0.00020868229330517352]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10788586735725403]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005520246922969818]
+Labels: ['Mental Health']
+Scores: [0.0007645809673704207]
+Labels: ['Diabetes type 1']
+Scores: [0.20463590323925018]
+Labels: ['Diabetes type 2']
+Scores: [0.16734746098518372]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39655600
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'White People', 'Female', 'Male', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Risk Factors', 'Black People', 'Africa South of the Sahara', 'Europe', 'Renal Insufficiency, Chronic', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9125760793685913]
+Labels: ['Diabetes']
+Scores: [0.0579230897128582]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.2734745442867279]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9844129681587219]
+Labels: ['Mental Health']
+Scores: [0.012057683430612087]
+Labels: ['Diabetes type 1']
+Scores: [0.11288455873727798]
+Labels: ['Diabetes type 2']
+Scores: [0.13488848507404327]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653570
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Medication Adherence', 'Thailand', 'Islam', 'Middle Aged', 'Noncommunicable Diseases', 'Rural Population', 'Adult', 'Focus Groups', 'Qualitative Research', 'Aged', 'Health Knowledge, Attitudes, Practice', 'Southeast Asian People', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9927874207496643]
+Labels: ['Diabetes']
+Scores: [0.4245147407054901]
+Labels: ['Cancer']
+Scores: [0.09924458712339401]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5208759903907776]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0551535002887249]
+Labels: ['Mental Health']
+Scores: [0.02872515842318535]
+Labels: ['Diabetes type 1']
+Scores: [0.49539294838905334]
+Labels: ['Diabetes type 2']
+Scores: [0.49951115250587463]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39653567
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Developing Countries', 'Noncommunicable Diseases', 'Research Design', 'Stakeholder Participation', 'Implementation Science', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9830530881881714]
+Labels: ['Diabetes']
+Scores: [0.3124324083328247]
+Labels: ['Cancer']
+Scores: [0.09251711517572403]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3828607499599457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03100183978676796]
+Labels: ['Mental Health']
+Scores: [0.047097347676754]
+Labels: ['Diabetes type 1']
+Scores: [0.34092965722084045]
+Labels: ['Diabetes type 2']
+Scores: [0.3706835210323334]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39645277
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Chronic Disease', 'Diet, Western', 'Gastrointestinal Microbiome', 'Inflammation', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9428292512893677]
+Labels: ['Diabetes']
+Scores: [0.2896156907081604]
+Labels: ['Cancer']
+Scores: [0.0013027118984609842]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017818760126829147]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15419264137744904]
+Labels: ['Mental Health']
+Scores: [0.0005474431090988219]
+Labels: ['Diabetes type 1']
+Scores: [0.4394482970237732]
+Labels: ['Diabetes type 2']
+Scores: [0.4647282660007477]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644320
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delivery of Health Care', 'Russia', 'Primary Health Care', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7216617465019226]
+Labels: ['Diabetes']
+Scores: [0.2428063154220581]
+Labels: ['Cancer']
+Scores: [0.16313891112804413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.35061198472976685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3671915531158447]
+Labels: ['Mental Health']
+Scores: [0.0005843817489221692]
+Labels: ['Diabetes type 1']
+Scores: [0.2154887616634369]
+Labels: ['Diabetes type 2']
+Scores: [0.23474976420402527]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644303
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Exercise', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5895963311195374]
+Labels: ['Diabetes']
+Scores: [0.9122411012649536]
+Labels: ['Cancer']
+Scores: [0.002398528391495347]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00047321291640400887]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6162564754486084]
+Labels: ['Mental Health']
+Scores: [0.2330966591835022]
+Labels: ['Diabetes type 1']
+Scores: [0.11341014504432678]
+Labels: ['Diabetes type 2']
+Scores: [0.9174987077713013]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39632114
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delphi Technique', 'Precision Medicine', 'Noncommunicable Diseases', 'Consensus', 'Female', 'Australia', 'Pregnancy', 'Adult', 'Male', 'Mass Screening', 'Middle Aged', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9923287034034729]
+Labels: ['Diabetes']
+Scores: [0.6445941925048828]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4878693222999573]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9600827693939209]
+Labels: ['Mental Health']
+Scores: [0.07023432105779648]
+Labels: ['Diabetes type 1']
+Scores: [0.6405429840087891]
+Labels: ['Diabetes type 2']
+Scores: [0.6384690403938293]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625743
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Surveys and Questionnaires', 'Reproducibility of Results', 'Multicenter Studies as Topic', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9867821931838989]
+Labels: ['Diabetes']
+Scores: [0.27902430295944214]
+Labels: ['Cancer']
+Scores: [0.06532011926174164]
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+Scores: [0.42481860518455505]
+Labels: ['Cardiovascular diseases']
+Scores: [0.090901680290699]
+Labels: ['Mental Health']
+Scores: [0.004234638065099716]
+Labels: ['Diabetes type 1']
+Scores: [0.36578601598739624]
+Labels: ['Diabetes type 2']
+Scores: [0.36145514249801636]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622542
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Kenya', 'Food Insecurity', 'Male', 'Female', 'HIV Infections', 'Adult', 'Health Services Accessibility', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Middle Aged', 'Comorbidity', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9502584338188171]
+Labels: ['Diabetes']
+Scores: [0.30460071563720703]
+Labels: ['Cancer']
+Scores: [0.06334786862134933]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3973222076892853]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3748520314693451]
+Labels: ['Mental Health']
+Scores: [0.005787997506558895]
+Labels: ['Diabetes type 1']
+Scores: [0.4643143117427826]
+Labels: ['Diabetes type 2']
+Scores: [0.45332664251327515]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39613439
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Systematic Reviews as Topic', 'Sedentary Behavior', 'Meta-Analysis as Topic', 'Prevalence', 'Risk Factors', 'Exercise', 'Adult', 'Africa, Eastern', 'Research Design', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06077494099736214]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.000593189091887325]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03974412754178047]
+Labels: ['Mental Health']
+Scores: [0.0002850133751053363]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0519455261528492]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39602608
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Mexico', 'Cost of Illness', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Healthy Aging', 'Mortality', 'Life Expectancy', 'Prevalence', 'Incidence', 'Humans', 'Male', 'Female', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Delivery of Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.517844021320343]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4803135395050049]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5638580322265625]
+Labels: ['Mental Health']
+Scores: [0.04716329276561737]
+Labels: ['Diabetes type 1']
+Scores: [0.513332188129425]
+Labels: ['Diabetes type 2']
+Scores: [0.5448976159095764]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595773
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Tanzania', 'Humans', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Adult', 'Rural Population', 'Aged', 'Young Adult', 'Politics', 'Adolescent', 'Treatment Adherence and Compliance', 'Patient Compliance']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4799841344356537]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5935223698616028]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595772
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Refugees', 'Male', 'Female', 'Risk Factors', 'Adult', 'Portugal', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Young Adult', 'Prevalence', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8292694091796875]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.6662856340408325]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.799113392829895]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.5986166000366211]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39592985
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Pregnancy', 'Noncommunicable Diseases', 'Middle Aged', 'Prospective Studies', 'Adolescent', 'Male', 'Young Adult', 'Aged', 'Multimorbidity', 'Prenatal Exposure Delayed Effects', 'Aged, 80 and over', 'Smoking', 'Chronic Disease']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39592160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Exercise', 'Aged', 'Noncommunicable Diseases', 'Randomized Controlled Trials as Topic', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18769799172878265]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.17895427346229553]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9352010488510132]
+Labels: ['Mental Health']
+Scores: [0.013206632807850838]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.5324060320854187]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39589015
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Male', 'Female', 'South Africa', 'Longitudinal Studies', 'Adult', 'Middle Aged', 'Depressive Disorder, Major', 'Communicable Diseases', 'Mediation Analysis', 'Comorbidity', 'Causality', 'Aged', 'Monte Carlo Method', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9443084597587585]
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+Scores: [0.30124974250793457]
+Labels: ['Cancer']
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+Scores: [0.43640440702438354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1775396168231964]
+Labels: ['Mental Health']
+Scores: [0.7538445591926575]
+Labels: ['Diabetes type 1']
+Scores: [0.3419981300830841]
+Labels: ['Diabetes type 2']
+Scores: [0.3472411036491394]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39584432
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Noncommunicable Diseases', 'Digital Technology', 'Middle East', 'Telemedicine', 'Mediterranean Region', 'Pandemics', 'SARS-CoV-2', 'Delivery of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9486553072929382]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.7771158814430237]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.47142302989959717]
+Labels: ['Diabetes type 2']
+Scores: [0.4783079922199249]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39563350
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'England', 'Adult', 'Male', 'Middle Aged', 'Schools', 'Female', 'Obesity', 'Public Health', 'Fast Foods', 'Body Mass Index', 'Cross-Sectional Studies', 'Health Care Costs', 'Restaurants', 'Noncommunicable Diseases', 'Quality-Adjusted Life Years', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012872760184109211]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0023890570737421513]
+Labels: ['Mental Health']
+Scores: [0.00024438477703370154]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.048722729086875916]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552939
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Noncommunicable Diseases', 'HIV Infections', 'Delivery of Health Care, Integrated']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23133748769760132]
+Labels: ['Diabetes']
+Scores: [0.23313522338867188]
+Labels: ['Cancer']
+Scores: [0.004360683728009462]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16469325125217438]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4134032726287842]
+Labels: ['Mental Health']
+Scores: [0.002741119358688593]
+Labels: ['Diabetes type 1']
+Scores: [0.34653276205062866]
+Labels: ['Diabetes type 2']
+Scores: [0.322692334651947]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552340
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Qualitative Research', 'Health Policy', 'Policy Making', 'Stakeholder Participation', 'Interviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9790366888046265]
+Labels: ['Diabetes']
+Scores: [0.4793145954608917]
+Labels: ['Cancer']
+Scores: [0.1574479341506958]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5338290929794312]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9286391139030457]
+Labels: ['Mental Health']
+Scores: [0.21777454018592834]
+Labels: ['Diabetes type 1']
+Scores: [0.7817286849021912]
+Labels: ['Diabetes type 2']
+Scores: [0.7878151535987854]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39548534
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ghana', 'Noncommunicable Diseases', 'Health Policy', 'World Health Organization', 'Focus Groups', 'Stakeholder Participation', 'Policy Making', 'Administrative Personnel', 'Qualitative Research', 'Public Health', 'Health Promotion', 'Health Plan Implementation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9781325459480286]
+Labels: ['Diabetes']
+Scores: [0.4836965501308441]
+Labels: ['Cancer']
+Scores: [0.2850736081600189]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5600787997245789]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9902962446212769]
+Labels: ['Mental Health']
+Scores: [0.19845180213451385]
+Labels: ['Diabetes type 1']
+Scores: [0.510296642780304]
+Labels: ['Diabetes type 2']
+Scores: [0.5482210516929626]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39541160
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Primary Health Care', 'Female', 'Male', 'Hypertension', 'Noncommunicable Diseases', 'Diabetes Mellitus, Type 2', 'Ghana', 'Adult', 'Middle Aged', 'Delivery of Health Care, Integrated', 'Quality Improvement', 'Depression', 'Mental Health Services', 'Anxiety', 'Mental Disorders', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9809518456459045]
+Labels: ['Diabetes']
+Scores: [0.11894212663173676]
+Labels: ['Cancer']
+Scores: [0.07339246571063995]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3487606346607208]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1517101526260376]
+Labels: ['Mental Health']
+Scores: [0.6756988167762756]
+Labels: ['Diabetes type 1']
+Scores: [0.2621309459209442]
+Labels: ['Diabetes type 2']
+Scores: [0.2571985423564911]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39530940
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Cardiovascular Diseases', 'Secondary Prevention']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8520375490188599]
+Labels: ['Diabetes']
+Scores: [0.9745847582817078]
+Labels: ['Cancer']
+Scores: [0.11756055057048798]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7413917183876038]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8684136867523193]
+Labels: ['Mental Health']
+Scores: [0.0010982926469296217]
+Labels: ['Diabetes type 1']
+Scores: [0.5333912372589111]
+Labels: ['Diabetes type 2']
+Scores: [0.5820189118385315]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39522888
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'China', 'Noncommunicable Diseases', 'Aged', 'Middle Aged', 'Male', 'Female', 'Incidence', 'Aged, 80 and over', 'Disability-Adjusted Life Years', 'Health Priorities', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8838991522789001]
+Labels: ['Diabetes']
+Scores: [0.3406772017478943]
+Labels: ['Cancer']
+Scores: [0.07158618420362473]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9954261779785156]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8628708720207214]
+Labels: ['Mental Health']
+Scores: [0.9730194807052612]
+Labels: ['Diabetes type 1']
+Scores: [0.34760940074920654]
+Labels: ['Diabetes type 2']
+Scores: [0.3773415684700012]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39515219
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Body Mass Index', 'Child', 'Female', 'Pediatric Obesity', 'Victoria', 'COVID-19', 'Health Behavior', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36017027497291565]
+Labels: ['Diabetes']
+Scores: [0.37617242336273193]
+Labels: ['Cancer']
+Scores: [0.021164190024137497]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17389534413814545]
+Labels: ['Cardiovascular diseases']
+Scores: [0.40894418954849243]
+Labels: ['Mental Health']
+Scores: [0.5603445768356323]
+Labels: ['Diabetes type 1']
+Scores: [0.4749080240726471]
+Labels: ['Diabetes type 2']
+Scores: [0.504462480545044]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39514466
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Exercise', 'Noncommunicable Diseases', 'Health Promotion', 'Healthy Lifestyle', 'Perception', 'Life Style']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9831602573394775]
+Labels: ['Diabetes']
+Scores: [0.4326663315296173]
+Labels: ['Cancer']
+Scores: [0.25365588068962097]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4986506700515747]
+Labels: ['Cardiovascular diseases']
+Scores: [0.702173113822937]
+Labels: ['Mental Health']
+Scores: [0.0043230908922851086]
+Labels: ['Diabetes type 1']
+Scores: [0.4614854156970978]
+Labels: ['Diabetes type 2']
+Scores: [0.46452081203460693]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39511525
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Behavior Therapy', 'Health Promotion', 'Life Style', 'Noncommunicable Diseases', 'Systematic Reviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9480034112930298]
+Labels: ['Diabetes']
+Scores: [0.2358950525522232]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3729354441165924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07763361930847168]
+Labels: ['Mental Health']
+Scores: [0.00475519523024559]
+Labels: ['Diabetes type 1']
+Scores: [0.2905924320220947]
+Labels: ['Diabetes type 2']
+Scores: [0.31248199939727783]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39496368
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Dyslipidemias', 'Adult', 'Cross-Sectional Studies', 'Aged', 'Prevalence', 'Sex Factors', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Cohort Studies', 'Age Factors', 'Social Class', 'Health Status Disparities', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9950949549674988]
+Labels: ['Diabetes']
+Scores: [0.25198492407798767]
+Labels: ['Cancer']
+Scores: [0.003714894875884056]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02791987545788288]
+Labels: ['Cardiovascular diseases']
+Scores: [0.622773289680481]
+Labels: ['Mental Health']
+Scores: [0.0004527583660092205]
+Labels: ['Diabetes type 1']
+Scores: [0.26842451095581055]
+Labels: ['Diabetes type 2']
+Scores: [0.2900644838809967]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494478
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Risk Factors', 'Cardiovascular Diseases', 'Periodontal Diseases', 'Periodontitis', 'Disease Susceptibility', 'Noncommunicable Diseases', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5404288172721863]
+Labels: ['Diabetes']
+Scores: [0.35282689332962036]
+Labels: ['Cancer']
+Scores: [0.024800846353173256]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4679263234138489]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5068385004997253]
+Labels: ['Mental Health']
+Scores: [0.07969117909669876]
+Labels: ['Diabetes type 1']
+Scores: [0.5008885860443115]
+Labels: ['Diabetes type 2']
+Scores: [0.4999772608280182]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39478581
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Male', 'Exercise', 'Female', 'Middle Aged', 'Young Adult', 'Africa', 'Adolescent', 'Aged', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Leisure Activities', 'Sociodemographic Factors', 'Surveys and Questionnaires', 'Sex Factors', 'Educational Status']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.052324891090393066]
+Labels: ['Diabetes']
+Scores: [0.1159808337688446]
+Labels: ['Cancer']
+Scores: [0.0046678935177624226]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05057119205594063]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14155983924865723]
+Labels: ['Mental Health']
+Scores: [0.014346479438245296]
+Labels: ['Diabetes type 1']
+Scores: [0.1545383483171463]
+Labels: ['Diabetes type 2']
+Scores: [0.1246405765414238]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39478517
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Prospective Studies', 'Diet', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6391292214393616]
+Labels: ['Diabetes']
+Scores: [0.718938946723938]
+Labels: ['Cancer']
+Scores: [0.0006064771441742778]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0029827544931322336]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8235929012298584]
+Labels: ['Mental Health']
+Scores: [0.0008202598546631634]
+Labels: ['Diabetes type 1']
+Scores: [0.3041505217552185]
+Labels: ['Diabetes type 2']
+Scores: [0.48201751708984375]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39460821
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ukraine', 'Retrospective Studies', 'Aged', 'Persons with Disabilities', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over', 'Cardiovascular Diseases', 'Armed Conflicts', 'Neoplasms', 'Eastern European People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01368245854973793]
+Labels: ['Diabetes']
+Scores: [0.06396191567182541]
+Labels: ['Cancer']
+Scores: [0.43830952048301697]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028368093073368073]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9362830519676208]
+Labels: ['Mental Health']
+Scores: [0.006841177120804787]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.16331349313259125]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458499
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Liver Diseases', 'Probiotics', 'Chronic Disease', 'Noncommunicable Diseases', 'Risk Factors', 'Dietary Fiber', 'Polyphenols', 'Food Ingredients', 'Diet', 'Spices', 'Fatty Acids, Omega-3', 'Dietary Supplements']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9298008680343628]
+Labels: ['Diabetes']
+Scores: [0.11429736018180847]
+Labels: ['Cancer']
+Scores: [0.4328044056892395]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000603637658059597]
+Labels: ['Cardiovascular diseases']
+Scores: [0.030097678303718567]
+Labels: ['Mental Health']
+Scores: [0.00028893956914544106]
+Labels: ['Diabetes type 1']
+Scores: [0.15705765783786774]
+Labels: ['Diabetes type 2']
+Scores: [0.13429711759090424]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39458490
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Biodiversity', 'One Health', 'Diet, Healthy', 'Interdisciplinary Research', 'Noncommunicable Diseases', 'Diet, Vegetarian', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1061105728149414]
+Labels: ['Diabetes']
+Scores: [0.2721351981163025]
+Labels: ['Cancer']
+Scores: [0.05363006144762039]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4810979962348938]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9738032817840576]
+Labels: ['Mental Health']
+Scores: [0.0003187217516824603]
+Labels: ['Diabetes type 1']
+Scores: [0.3782833516597748]
+Labels: ['Diabetes type 2']
+Scores: [0.4382433593273163]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458487
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Bibliometrics', 'Humans', 'Food Labeling', 'Beverages', 'Global Health', 'Nutrition Policy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0724213644862175]
+Labels: ['Diabetes']
+Scores: [0.003995636478066444]
+Labels: ['Cancer']
+Scores: [0.00011047173029510304]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07995495200157166]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009202541783452034]
+Labels: ['Mental Health']
+Scores: [0.00017667017527855933]
+Labels: ['Diabetes type 1']
+Scores: [0.046997636556625366]
+Labels: ['Diabetes type 2']
+Scores: [0.047591228038072586]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39449123
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Life Style', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Inflammatory Bowel Diseases', 'Adult', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Inflammation', 'Age of Onset', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.986508309841156]
+Labels: ['Diabetes']
+Scores: [0.5736172199249268]
+Labels: ['Cancer']
+Scores: [0.09402892738580704]
+Labels: ['Chronic respiratory disease']
+Scores: [0.30176517367362976]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30661898851394653]
+Labels: ['Mental Health']
+Scores: [0.0011936479713767767]
+Labels: ['Diabetes type 1']
+Scores: [0.5495373606681824]
+Labels: ['Diabetes type 2']
+Scores: [0.5647789835929871]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39438053
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Thailand', 'Noncommunicable Diseases', 'Delivery of Health Care', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.972578763961792]
+Labels: ['Diabetes']
+Scores: [0.1950342208147049]
+Labels: ['Cancer']
+Scores: [0.0029744403436779976]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8538683652877808]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4272864758968353]
+Labels: ['Mental Health']
+Scores: [0.004099740646779537]
+Labels: ['Diabetes type 1']
+Scores: [0.4940723776817322]
+Labels: ['Diabetes type 2']
+Scores: [0.45886895060539246]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39437825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Germany', 'Communicable Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.051871158182621]
+Labels: ['Diabetes']
+Scores: [0.00010129131260327995]
+Labels: ['Cancer']
+Scores: [0.00012104708002880216]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00029354525031521916]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011158776032971218]
+Labels: ['Mental Health']
+Scores: [5.8221448853146285e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00015293910109903663]
+Labels: ['Diabetes type 2']
+Scores: [0.0001632258208701387]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437462
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Emotions', 'Physician-Patient Relations', 'Communication', 'Decision Making', 'Noncommunicable Diseases', 'Informed Consent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9974117875099182]
+Labels: ['Diabetes']
+Scores: [0.48796164989471436]
+Labels: ['Cancer']
+Scores: [0.05810263752937317]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5183351039886475]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01257303822785616]
+Labels: ['Mental Health']
+Scores: [0.6123121380805969]
+Labels: ['Diabetes type 1']
+Scores: [0.5417217016220093]
+Labels: ['Diabetes type 2']
+Scores: [0.536560595035553]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436669
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Health Policy', 'Policy Making', 'Administrative Personnel', 'Noncommunicable Diseases', 'Developing Countries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9348503947257996]
+Labels: ['Diabetes']
+Scores: [0.20291107892990112]
+Labels: ['Cancer']
+Scores: [0.03466270491480827]
+Labels: ['Chronic respiratory disease']
+Scores: [0.30141976475715637]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0315588116645813]
+Labels: ['Mental Health']
+Scores: [0.0017801984213292599]
+Labels: ['Diabetes type 1']
+Scores: [0.3351674973964691]
+Labels: ['Diabetes type 2']
+Scores: [0.3270949721336365]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39432502
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Tuberculosis, Pulmonary', 'Noncommunicable Diseases', 'Gene Regulatory Networks', 'Lung Neoplasms', 'Silicosis', 'Protein Interaction Maps', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9640672206878662]
+Labels: ['Diabetes']
+Scores: [0.05199233070015907]
+Labels: ['Cancer']
+Scores: [0.0028848981019109488]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9945259690284729]
+Labels: ['Cardiovascular diseases']
+Scores: [0.44584783911705017]
+Labels: ['Mental Health']
+Scores: [0.002587119583040476]
+Labels: ['Diabetes type 1']
+Scores: [0.22091509401798248]
+Labels: ['Diabetes type 2']
+Scores: [0.2609042823314667]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39426077
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Brazil', 'Obesity', 'Male', 'Female', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Hospitalization', 'Body Mass Index', 'Sick Leave', 'Prevalence', 'Cost of Illness', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10824742168188095]
+Labels: ['Diabetes']
+Scores: [0.47825294733047485]
+Labels: ['Cancer']
+Scores: [0.16941745579242706]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07919514179229736]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9684633016586304]
+Labels: ['Mental Health']
+Scores: [0.00021468060731422156]
+Labels: ['Diabetes type 1']
+Scores: [0.4759526550769806]
+Labels: ['Diabetes type 2']
+Scores: [0.5240792036056519]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Prevalence', 'Incidence', 'Global Health', 'Male', 'Global Burden of Disease', 'Data Analysis', 'World Health Organization', 'Secondary Data Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9720483422279358]
+Labels: ['Diabetes']
+Scores: [0.5726523399353027]
+Labels: ['Cancer']
+Scores: [0.5352414846420288]
+Labels: ['Chronic respiratory disease']
+Scores: [0.599786102771759]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8737162947654724]
+Labels: ['Mental Health']
+Scores: [0.12733083963394165]
+Labels: ['Diabetes type 1']
+Scores: [0.6176173686981201]
+Labels: ['Diabetes type 2']
+Scores: [0.6321088075637817]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418781
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Female', 'Male', 'Case-Control Studies', 'Middle Aged', 'Adult', 'Occupations', 'Databases, Factual', 'Occupational Exposure', 'Risk Factors', 'Noncommunicable Diseases', 'Myocardial Infarction', 'Sitting Position', 'Diabetes Mellitus', 'Aged', 'Workplace']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.26507195830345154]
+Labels: ['Diabetes']
+Scores: [0.18526671826839447]
+Labels: ['Cancer']
+Scores: [0.1027265414595604]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22466473281383514]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3451905846595764]
+Labels: ['Mental Health']
+Scores: [0.005801721941679716]
+Labels: ['Diabetes type 1']
+Scores: [0.21383915841579437]
+Labels: ['Diabetes type 2']
+Scores: [0.21283087134361267]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418779
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Europe', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Adolescent', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult', 'Global Burden of Disease', 'Child', 'Infant', 'Cost of Illness', 'Child, Preschool', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9802206158638]
+Labels: ['Diabetes']
+Scores: [0.2772008180618286]
+Labels: ['Cancer']
+Scores: [0.987220823764801]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2060832977294922]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9987794756889343]
+Labels: ['Mental Health']
+Scores: [0.012731603346765041]
+Labels: ['Diabetes type 1']
+Scores: [0.3326825201511383]
+Labels: ['Diabetes type 2']
+Scores: [0.41956567764282227]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418251
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Obesity', 'Hypertension', 'Motivation', 'Risk Factors', 'Hyperlipidemias', 'Iran', 'Overweight', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.993320882320404]
+Labels: ['Diabetes']
+Scores: [0.45206722617149353]
+Labels: ['Cancer']
+Scores: [0.0025388370268046856]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0409172885119915]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7486722469329834]
+Labels: ['Mental Health']
+Scores: [0.00020276692521292716]
+Labels: ['Diabetes type 1']
+Scores: [0.425138384103775]
+Labels: ['Diabetes type 2']
+Scores: [0.48068687319755554]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39416942
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Information Dissemination', 'Translational Research, Biomedical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9781992435455322]
+Labels: ['Diabetes']
+Scores: [0.40340179204940796]
+Labels: ['Cancer']
+Scores: [0.21152473986148834]
+Labels: ['Chronic respiratory disease']
+Scores: [0.47508856654167175]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4430658519268036]
+Labels: ['Mental Health']
+Scores: [0.027755023911595345]
+Labels: ['Diabetes type 1']
+Scores: [0.4038790762424469]
+Labels: ['Diabetes type 2']
+Scores: [0.421373575925827]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39411832
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Inflammation', 'Diet', 'Anti-Inflammatory Agents', 'Obesity', 'Chronic Disease', 'Diabetes Mellitus, Type 2', 'Fruit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.858220636844635]
+Labels: ['Diabetes']
+Scores: [0.9696362614631653]
+Labels: ['Cancer']
+Scores: [0.15693256258964539]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06357886642217636]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9468473792076111]
+Labels: ['Mental Health']
+Scores: [0.031344763934612274]
+Labels: ['Diabetes type 1']
+Scores: [0.004055401775985956]
+Labels: ['Diabetes type 2']
+Scores: [0.9906156659126282]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39408274
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malus', 'Noncommunicable Diseases', 'Fruit', 'Nutritive Value', 'Diet', 'Diet, Healthy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6261181235313416]
+Labels: ['Diabetes']
+Scores: [0.5761168003082275]
+Labels: ['Cancer']
+Scores: [0.3209141790866852]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6899774670600891]
+Labels: ['Cardiovascular diseases']
+Scores: [0.47786790132522583]
+Labels: ['Mental Health']
+Scores: [0.01359226368367672]
+Labels: ['Diabetes type 1']
+Scores: [0.703239381313324]
+Labels: ['Diabetes type 2']
+Scores: [0.713241457939148]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39408232
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Biological Products', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9771554470062256]
+Labels: ['Diabetes']
+Scores: [0.9936441779136658]
+Labels: ['Cancer']
+Scores: [0.9599142074584961]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3954671621322632]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9952407479286194]
+Labels: ['Mental Health']
+Scores: [0.0014891809551045299]
+Labels: ['Diabetes type 1']
+Scores: [0.7839793562889099]
+Labels: ['Diabetes type 2']
+Scores: [0.782550036907196]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39407160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Nepal', 'Humans', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Services Accessibility', 'Health Care Surveys', 'Health Facilities', 'Female', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9842427968978882]
+Labels: ['Diabetes']
+Scores: [0.25396087765693665]
+Labels: ['Cancer']
+Scores: [0.10914600640535355]
+Labels: ['Chronic respiratory disease']
+Scores: [0.39143505692481995]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7464237809181213]
+Labels: ['Mental Health']
+Scores: [0.0023325085639953613]
+Labels: ['Diabetes type 1']
+Scores: [0.480772465467453]
+Labels: ['Diabetes type 2']
+Scores: [0.5217761993408203]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39404094
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fibrinolytic Agents', 'Subtilisins', 'Antioxidants', 'Oxidative Stress', 'Anti-Inflammatory Agents', 'Animals', 'Inflammation', 'Cardiovascular Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9859179258346558]
+Labels: ['Diabetes']
+Scores: [0.026442375034093857]
+Labels: ['Cancer']
+Scores: [0.00022314960369840264]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02216675505042076]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9888610243797302]
+Labels: ['Mental Health']
+Scores: [0.00012981316831428558]
+Labels: ['Diabetes type 1']
+Scores: [0.07941395044326782]
+Labels: ['Diabetes type 2']
+Scores: [0.10890533030033112]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394102
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Communication Barriers', 'Aged', 'Rural Population', 'South Africa', 'Middle Aged', 'Qualitative Research', 'Interviews as Topic', 'Health Knowledge, Attitudes, Practice', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9425593614578247]
+Labels: ['Diabetes']
+Scores: [0.9149207472801208]
+Labels: ['Cancer']
+Scores: [0.0001952421007445082]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00822832528501749]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9111557006835938]
+Labels: ['Mental Health']
+Scores: [0.001832720823585987]
+Labels: ['Diabetes type 1']
+Scores: [0.5343453884124756]
+Labels: ['Diabetes type 2']
+Scores: [0.6173004508018494]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39391944
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Noncommunicable Diseases', 'Middle Aged', 'Cross-Sectional Studies', 'Prevalence', 'Chronic Disease', 'Beverages', 'Obesity', 'Aged', 'Neoplasms', 'Hypercholesterolemia', 'Young Adult', 'Diet', 'Alcoholic Beverages', 'Feeding Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.873029351234436]
+Labels: ['Diabetes']
+Scores: [0.6280112862586975]
+Labels: ['Cancer']
+Scores: [0.815640389919281]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028442202135920525]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9144200086593628]
+Labels: ['Mental Health']
+Scores: [0.10923861712217331]
+Labels: ['Diabetes type 1']
+Scores: [0.48338252305984497]
+Labels: ['Diabetes type 2']
+Scores: [0.6614260077476501]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39390457
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Satellite Imagery', 'Cardiovascular Diseases', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.983493983745575]
+Labels: ['Diabetes']
+Scores: [0.6676841378211975]
+Labels: ['Cancer']
+Scores: [0.3433793783187866]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6068803668022156]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7033311724662781]
+Labels: ['Mental Health']
+Scores: [0.13094887137413025]
+Labels: ['Diabetes type 1']
+Scores: [0.7377305030822754]
+Labels: ['Diabetes type 2']
+Scores: [0.7410399317741394]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39388415
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Alcohol Drinking', 'Exercise', 'Meta-Analysis as Topic', 'Noncommunicable Diseases', 'Prevalence', 'Risk Factors', 'Systematic Reviews as Topic', 'Tobacco Use']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8916330337524414]
+Labels: ['Diabetes']
+Scores: [0.2061825543642044]
+Labels: ['Cancer']
+Scores: [0.008537721820175648]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2463345229625702]
+Labels: ['Cardiovascular diseases']
+Scores: [0.18181771039962769]
+Labels: ['Mental Health']
+Scores: [0.27165812253952026]
+Labels: ['Diabetes type 1']
+Scores: [0.2027144581079483]
+Labels: ['Diabetes type 2']
+Scores: [0.2071351259946823]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39386956
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Guyana', 'Humans', 'Noncommunicable Diseases', 'Qualitative Research', 'Health Policy', 'Government', 'Policy Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9871070384979248]
+Labels: ['Diabetes']
+Scores: [0.4540329575538635]
+Labels: ['Cancer']
+Scores: [0.2491587996482849]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4833033084869385]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8975184559822083]
+Labels: ['Mental Health']
+Scores: [0.056064605712890625]
+Labels: ['Diabetes type 1']
+Scores: [0.4908250570297241]
+Labels: ['Diabetes type 2']
+Scores: [0.5467503070831299]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39379988
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Aged', 'Body Mass Index', 'Cardiovascular Diseases', 'China', 'Neoplasms', 'Age Factors', 'Cause of Death', 'Cohort Studies', 'Proportional Hazards Models', 'Weight Loss', 'Weight Gain', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.041137248277664185]
+Labels: ['Diabetes']
+Scores: [0.0866909921169281]
+Labels: ['Cancer']
+Scores: [0.2707093358039856]
+Labels: ['Chronic respiratory disease']
+Scores: [0.24559853971004486]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6169880628585815]
+Labels: ['Mental Health']
+Scores: [0.00013514101738110185]
+Labels: ['Diabetes type 1']
+Scores: [0.2255701869726181]
+Labels: ['Diabetes type 2']
+Scores: [0.21947893500328064]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39374955
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Research', 'Health Priorities', 'Biomedical Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.80720055103302]
+Labels: ['Diabetes']
+Scores: [0.32070448994636536]
+Labels: ['Cancer']
+Scores: [0.09081298857927322]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2845943570137024]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02336082234978676]
+Labels: ['Mental Health']
+Scores: [0.0512784942984581]
+Labels: ['Diabetes type 1']
+Scores: [0.39448219537734985]
+Labels: ['Diabetes type 2']
+Scores: [0.39755937457084656]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369417
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Tertiary Care Centers', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Nepal', 'Health Knowledge, Attitudes, Practice', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9885245561599731]
+Labels: ['Diabetes']
+Scores: [0.37890467047691345]
+Labels: ['Cancer']
+Scores: [0.3144179880619049]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4512386918067932]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3857212960720062]
+Labels: ['Mental Health']
+Scores: [0.07267265021800995]
+Labels: ['Diabetes type 1']
+Scores: [0.4407472610473633]
+Labels: ['Diabetes type 2']
+Scores: [0.42605099081993103]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369183
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Female', 'Male', 'Aged', 'Asia, Central', 'Adult', 'Europe, Eastern', 'Noncommunicable Diseases', 'Mortality, Premature', 'Global Health', 'Global Burden of Disease', 'Cardiovascular Diseases', 'Neoplasms', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23934365808963776]
+Labels: ['Diabetes']
+Scores: [0.8185040950775146]
+Labels: ['Cancer']
+Scores: [0.5924122333526611]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9581308364868164]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8290807008743286]
+Labels: ['Mental Health']
+Scores: [0.020867547020316124]
+Labels: ['Diabetes type 1']
+Scores: [0.5806993842124939]
+Labels: ['Diabetes type 2']
+Scores: [0.6007034778594971]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [2, 3]]
+---------------------------------
+---------------------------------
+PMID: 39368120
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Middle Aged', 'Adult', 'Male', 'Female', 'Noncommunicable Diseases', 'Natural Language Processing', 'Prevalence', 'Retrospective Studies', 'Hypertension', 'Aged', 'Adolescent', 'Young Adult', 'Diabetes Mellitus', 'Electronic Health Records', 'Obesity', 'Multimorbidity', 'Dyslipidemias', 'Mental Disorders', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9897674322128296]
+Labels: ['Diabetes']
+Scores: [0.4015277326107025]
+Labels: ['Cancer']
+Scores: [0.24079108238220215]
+Labels: ['Chronic respiratory disease']
+Scores: [0.44690144062042236]
+Labels: ['Cardiovascular diseases']
+Scores: [0.44277554750442505]
+Labels: ['Mental Health']
+Scores: [0.0339498408138752]
+Labels: ['Diabetes type 1']
+Scores: [0.4717314541339874]
+Labels: ['Diabetes type 2']
+Scores: [0.4736272692680359]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39367295
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['India', 'Humans', 'Primary Health Care', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Comprehensive Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17527729272842407]
+Labels: ['Diabetes']
+Scores: [0.27653855085372925]
+Labels: ['Cancer']
+Scores: [0.028029128909111023]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5489239692687988]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11377471685409546]
+Labels: ['Mental Health']
+Scores: [0.003034910187125206]
+Labels: ['Diabetes type 1']
+Scores: [0.52497798204422]
+Labels: ['Diabetes type 2']
+Scores: [0.49597662687301636]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39365121
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Dental Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.763625979423523]
+Labels: ['Diabetes']
+Scores: [0.0033691797871142626]
+Labels: ['Cancer']
+Scores: [0.0061751240864396095]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019184064120054245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004985732375644147]
+Labels: ['Mental Health']
+Scores: [0.00014019361697137356]
+Labels: ['Diabetes type 1']
+Scores: [0.058265626430511475]
+Labels: ['Diabetes type 2']
+Scores: [0.05911051854491234]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39363978
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08616903424263]
+Labels: ['Diabetes']
+Scores: [0.455471396446228]
+Labels: ['Cancer']
+Scores: [0.40323707461357117]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4449945390224457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9871070981025696]
+Labels: ['Mental Health']
+Scores: [0.0006877165869809687]
+Labels: ['Diabetes type 1']
+Scores: [0.44189316034317017]
+Labels: ['Diabetes type 2']
+Scores: [0.4823497533798218]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39356704
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Nepal', 'Adolescent', 'Middle Aged', 'Risk Factors', 'Young Adult', 'Hypertension', 'Obesity', 'Smoking', 'Prevalence', 'Overweight', 'Cluster Analysis', 'Noncommunicable Diseases', 'Health Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9888453483581543]
+Labels: ['Diabetes']
+Scores: [0.6657395958900452]
+Labels: ['Cancer']
+Scores: [0.7018650770187378]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5790853500366211]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9460206031799316]
+Labels: ['Mental Health']
+Scores: [0.23456580936908722]
+Labels: ['Diabetes type 1']
+Scores: [0.7398943901062012]
+Labels: ['Diabetes type 2']
+Scores: [0.7635872960090637]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39352154
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malaysia', 'Female', 'Male', 'Adult', 'Cross-Sectional Studies', 'Health Knowledge, Attitudes, Practice', 'Noncommunicable Diseases', 'Middle Aged', 'Young Adult', 'Indigenous Peoples', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9846509099006653]
+Labels: ['Diabetes']
+Scores: [0.6099463105201721]
+Labels: ['Cancer']
+Scores: [0.5205581188201904]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6670986413955688]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8618163466453552]
+Labels: ['Mental Health']
+Scores: [0.010254107415676117]
+Labels: ['Diabetes type 1']
+Scores: [0.6640959978103638]
+Labels: ['Diabetes type 2']
+Scores: [0.666088342666626]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39352096
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet', 'Obesity', 'Dysbiosis', 'Diabetes Mellitus, Type 2', 'Czech Republic', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8501616716384888]
+Labels: ['Diabetes']
+Scores: [0.24979761242866516]
+Labels: ['Cancer']
+Scores: [0.03258873149752617]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08664218336343765]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09412288665771484]
+Labels: ['Mental Health']
+Scores: [0.00010271678911522031]
+Labels: ['Diabetes type 1']
+Scores: [0.307468056678772]
+Labels: ['Diabetes type 2']
+Scores: [0.3030155599117279]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39344941
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Mass Screening', 'Cardiovascular Diseases', 'Oral Health', 'Diabetes Mellitus', 'United Kingdom']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27181610465049744]
+Labels: ['Diabetes']
+Scores: [0.6156172156333923]
+Labels: ['Cancer']
+Scores: [0.00027055994723923504]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002982849720865488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7731170058250427]
+Labels: ['Mental Health']
+Scores: [0.0002657118602655828]
+Labels: ['Diabetes type 1']
+Scores: [0.8665087819099426]
+Labels: ['Diabetes type 2']
+Scores: [0.8878359198570251]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [2, 3]]
+---------------------------------
+---------------------------------
+PMID: 39342408
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Mexico', 'Female', 'Male', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Ambulatory Care', 'Cross-Sectional Studies', 'Young Adult', 'Aged', 'Sex Factors', 'Healthcare Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9944237470626831]
+Labels: ['Diabetes']
+Scores: [0.5966835618019104]
+Labels: ['Cancer']
+Scores: [0.6351611614227295]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6695359349250793]
+Labels: ['Cardiovascular diseases']
+Scores: [0.816412091255188]
+Labels: ['Mental Health']
+Scores: [0.07596103101968765]
+Labels: ['Diabetes type 1']
+Scores: [0.696174144744873]
+Labels: ['Diabetes type 2']
+Scores: [0.6926822662353516]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39342100
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Female', 'Male', 'Qualitative Research', 'Fisheries', 'Adult', 'Middle Aged', 'Delayed Diagnosis', 'Patient Acceptance of Health Care', 'Interviews as Topic', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9629573225975037]
+Labels: ['Diabetes']
+Scores: [0.4032813608646393]
+Labels: ['Cancer']
+Scores: [0.11358431726694107]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5636510848999023]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7510660886764526]
+Labels: ['Mental Health']
+Scores: [0.0004136433999519795]
+Labels: ['Diabetes type 1']
+Scores: [0.5352666974067688]
+Labels: ['Diabetes type 2']
+Scores: [0.5546179413795471]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39339734
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet, Mediterranean', 'Dysbiosis', 'Diet, Western', 'Diet, Vegetarian', 'Diet', 'Methylamines', 'Fatty Acids, Volatile']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9959021210670471]
+Labels: ['Diabetes']
+Scores: [0.617896318435669]
+Labels: ['Cancer']
+Scores: [0.4308076500892639]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5881878733634949]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9291858673095703]
+Labels: ['Mental Health']
+Scores: [0.002725783735513687]
+Labels: ['Diabetes type 1']
+Scores: [0.5887958407402039]
+Labels: ['Diabetes type 2']
+Scores: [0.611416757106781]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39338107
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Sex Factors', 'Longitudinal Studies', 'Young Adult', 'Health Surveys', 'Prevalence', 'Socioeconomic Factors', 'Adolescent', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9625195264816284]
+Labels: ['Diabetes']
+Scores: [0.41872352361679077]
+Labels: ['Cancer']
+Scores: [0.32858163118362427]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5274713635444641]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42667487263679504]
+Labels: ['Mental Health']
+Scores: [0.001094773062504828]
+Labels: ['Diabetes type 1']
+Scores: [0.411577433347702]
+Labels: ['Diabetes type 2']
+Scores: [0.43340617418289185]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338026
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Developing Countries', 'Economic Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8621408939361572]
+Labels: ['Diabetes']
+Scores: [0.4101336896419525]
+Labels: ['Cancer']
+Scores: [0.23137542605400085]
+Labels: ['Chronic respiratory disease']
+Scores: [0.47059166431427]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4490731358528137]
+Labels: ['Mental Health']
+Scores: [0.09388894587755203]
+Labels: ['Diabetes type 1']
+Scores: [0.5484924912452698]
+Labels: ['Diabetes type 2']
+Scores: [0.537713348865509]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39334103
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Metabolic Syndrome', 'Female', 'Male', 'Aged', 'Cross-Sectional Studies', 'Thailand', 'Multilevel Analysis', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16033944487571716]
+Labels: ['Diabetes']
+Scores: [0.5644029974937439]
+Labels: ['Cancer']
+Scores: [0.00030246464302763343]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005826520500704646]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8859965801239014]
+Labels: ['Mental Health']
+Scores: [0.00029377327882684767]
+Labels: ['Diabetes type 1']
+Scores: [0.43113672733306885]
+Labels: ['Diabetes type 2']
+Scores: [0.5685837864875793]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39333314
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Wounds and Injuries', 'Female', 'Male', 'Neoplasms', 'Cardiovascular Diseases', 'Cause of Death', 'Global Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9708878397941589]
+Labels: ['Diabetes']
+Scores: [0.11229114979505539]
+Labels: ['Cancer']
+Scores: [0.9626328945159912]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05587320774793625]
+Labels: ['Cardiovascular diseases']
+Scores: [0.990016520023346]
+Labels: ['Mental Health']
+Scores: [0.0023392224684357643]
+Labels: ['Diabetes type 1']
+Scores: [0.45111334323883057]
+Labels: ['Diabetes type 2']
+Scores: [0.43560686707496643]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39324155
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ethiopia', 'Male', 'Female', 'Adult', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Belief Model', 'Middle Aged', 'Health Behavior', 'Surveys and Questionnaires', 'Health Promotion', 'Young Adult', 'Health Knowledge, Attitudes, Practice', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7986056804656982]
+Labels: ['Diabetes']
+Scores: [0.435896635055542]
+Labels: ['Cancer']
+Scores: [0.3559918701648712]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5989532470703125]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7978190183639526]
+Labels: ['Mental Health']
+Scores: [0.05710625275969505]
+Labels: ['Diabetes type 1']
+Scores: [0.49137014150619507]
+Labels: ['Diabetes type 2']
+Scores: [0.5125569701194763]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39308827
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Thailand', 'Particulate Matter', 'Noncommunicable Diseases', 'Female', 'Male', 'Air Pollutants', 'Environmental Exposure', 'Air Pollution', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9410988092422485]
+Labels: ['Diabetes']
+Scores: [0.25797876715660095]
+Labels: ['Cancer']
+Scores: [0.1987023800611496]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5420840382575989]
+Labels: ['Cardiovascular diseases']
+Scores: [0.29262930154800415]
+Labels: ['Mental Health']
+Scores: [0.00019607348076533526]
+Labels: ['Diabetes type 1']
+Scores: [0.3415658175945282]
+Labels: ['Diabetes type 2']
+Scores: [0.36476990580558777]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39307578
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Noncommunicable Diseases', 'Postpartum Period', 'Parturition', 'Pregnancy Complications', 'Australia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7720546722412109]
+Labels: ['Diabetes']
+Scores: [0.10860792547464371]
+Labels: ['Cancer']
+Scores: [0.042592424899339676]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22620786726474762]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1315784603357315]
+Labels: ['Mental Health']
+Scores: [0.000850552343763411]
+Labels: ['Diabetes type 1']
+Scores: [0.23859846591949463]
+Labels: ['Diabetes type 2']
+Scores: [0.23294757306575775]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018719812855124474]
+Labels: ['Diabetes']
+Scores: [0.9729982614517212]
+Labels: ['Cancer']
+Scores: [0.00047369624371640384]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00032137459493242204]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00032359748729504645]
+Labels: ['Mental Health']
+Scores: [0.10392027348279953]
+Labels: ['Diabetes type 1']
+Scores: [0.10484284907579422]
+Labels: ['Diabetes type 2']
+Scores: [0.2622729241847992]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.550463855266571]
+Labels: ['Diabetes']
+Scores: [0.991424024105072]
+Labels: ['Cancer']
+Scores: [0.03992907330393791]
+Labels: ['Chronic respiratory disease']
+Scores: [0.033168207854032516]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14531272649765015]
+Labels: ['Mental Health']
+Scores: [0.012058576568961143]
+Labels: ['Diabetes type 1']
+Scores: [0.7797260880470276]
+Labels: ['Diabetes type 2']
+Scores: [0.6497209072113037]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9556717872619629]
+Labels: ['Diabetes']
+Scores: [0.9559743404388428]
+Labels: ['Cancer']
+Scores: [0.2893255054950714]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9656952023506165]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9691659808158875]
+Labels: ['Mental Health']
+Scores: [0.22311004996299744]
+Labels: ['Diabetes type 1']
+Scores: [0.688226580619812]
+Labels: ['Diabetes type 2']
+Scores: [0.7650501728057861]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10683859884738922]
+Labels: ['Diabetes']
+Scores: [0.005583230871707201]
+Labels: ['Cancer']
+Scores: [0.5009918212890625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012442338629625738]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6601688265800476]
+Labels: ['Mental Health']
+Scores: [7.422889757435769e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.05756402760744095]
+Labels: ['Diabetes type 2']
+Scores: [0.04710421711206436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735640
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Blood Glucose', 'Class Ia Phosphatidylinositol 3-Kinase', 'Diabetes Mellitus', 'Growth Disorders', 'Hypercalcemia', 'Insulin Resistance', 'Nephrocalcinosis', 'Tooth Abnormalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010953784920275211]
+Labels: ['Diabetes']
+Scores: [0.9834936857223511]
+Labels: ['Cancer']
+Scores: [0.00011460973473731428]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016430883260909468]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015202094800770283]
+Labels: ['Mental Health']
+Scores: [0.00012829771731048822]
+Labels: ['Diabetes type 1']
+Scores: [0.001794051961041987]
+Labels: ['Diabetes type 2']
+Scores: [0.00027493294328451157]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04568580538034439]
+Labels: ['Diabetes']
+Scores: [0.9657447934150696]
+Labels: ['Cancer']
+Scores: [0.0005181831656955183]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003642668481916189]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8337035179138184]
+Labels: ['Mental Health']
+Scores: [0.0003001780714839697]
+Labels: ['Diabetes type 1']
+Scores: [0.8642643690109253]
+Labels: ['Diabetes type 2']
+Scores: [0.8468080759048462]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0046276552602648735]
+Labels: ['Diabetes']
+Scores: [0.004025375936180353]
+Labels: ['Cancer']
+Scores: [0.00015708220598753542]
+Labels: ['Chronic respiratory disease']
+Scores: [0.41660982370376587]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8534365892410278]
+Labels: ['Mental Health']
+Scores: [0.012296604923903942]
+Labels: ['Diabetes type 1']
+Scores: [0.001101553556509316]
+Labels: ['Diabetes type 2']
+Scores: [0.005314254201948643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734205
+Predictions: ['Diabetes']
+MeshTerm: ['Administration, Oral', 'Insulin', 'Humans', 'Animals', 'Nanoparticles', 'Blood Glucose', 'Diabetes Mellitus', 'Particle Size', 'Hypoglycemic Agents', 'Drug Carriers', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.42466112971305847]
+Labels: ['Diabetes']
+Scores: [0.9624646306037903]
+Labels: ['Cancer']
+Scores: [0.0020272776018828154]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010148347355425358]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003703499911352992]
+Labels: ['Mental Health']
+Scores: [0.003935787361115217]
+Labels: ['Diabetes type 1']
+Scores: [0.7393064498901367]
+Labels: ['Diabetes type 2']
+Scores: [0.6954602003097534]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002081443089991808]
+Labels: ['Diabetes']
+Scores: [0.9509167671203613]
+Labels: ['Cancer']
+Scores: [0.00020091808983124793]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003202841617166996]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000713347690179944]
+Labels: ['Mental Health']
+Scores: [0.00015171736595220864]
+Labels: ['Diabetes type 1']
+Scores: [0.584464967250824]
+Labels: ['Diabetes type 2']
+Scores: [0.6258476972579956]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732905
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Coronary Stenosis', 'Aged', 'Inflammation', 'Coronary Disease', 'Severity of Illness Index', 'Diabetes Mellitus', 'Prognosis', 'Risk Factors', 'Predictive Value of Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.37067314982414246]
+Labels: ['Diabetes']
+Scores: [0.7744941115379333]
+Labels: ['Cancer']
+Scores: [0.005837489850819111]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003969177138060331]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9957312941551208]
+Labels: ['Mental Health']
+Scores: [0.019498106092214584]
+Labels: ['Diabetes type 1']
+Scores: [0.4385792315006256]
+Labels: ['Diabetes type 2']
+Scores: [0.5248920917510986]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sepsis', 'Male', 'Female', 'Aged', 'Middle Aged', 'Calcium', 'Diabetes Mellitus', 'Acid-Base Equilibrium', 'ROC Curve', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.039731159806251526]
+Labels: ['Diabetes']
+Scores: [0.957073986530304]
+Labels: ['Cancer']
+Scores: [0.004252077545970678]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007138623856008053]
+Labels: ['Cardiovascular diseases']
+Scores: [0.046399977058172226]
+Labels: ['Mental Health']
+Scores: [0.010898463428020477]
+Labels: ['Diabetes type 1']
+Scores: [0.4974151849746704]
+Labels: ['Diabetes type 2']
+Scores: [0.6143157482147217]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.043462928384542465]
+Labels: ['Diabetes']
+Scores: [0.9284846186637878]
+Labels: ['Cancer']
+Scores: [0.0004164945858065039]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012773884227499366]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9730817079544067]
+Labels: ['Mental Health']
+Scores: [0.0015529480297118425]
+Labels: ['Diabetes type 1']
+Scores: [0.553235650062561]
+Labels: ['Diabetes type 2']
+Scores: [0.7232629060745239]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732433
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Ethiopia', 'Risk Factors', 'Prevalence', 'Diabetic Angiopathies', 'Male', 'Female', 'Middle Aged', 'Adult', 'Risk Assessment', 'Diabetic Retinopathy', 'Aged', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Diabetes Mellitus', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007793840020895004]
+Labels: ['Diabetes']
+Scores: [0.9714792966842651]
+Labels: ['Cancer']
+Scores: [0.00023006609990261495]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019194067863281816]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1877116858959198]
+Labels: ['Mental Health']
+Scores: [0.00018688316049519926]
+Labels: ['Diabetes type 1']
+Scores: [0.5045377016067505]
+Labels: ['Diabetes type 2']
+Scores: [0.6264880299568176]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2889566719532013]
+Labels: ['Diabetes']
+Scores: [0.7591410875320435]
+Labels: ['Cancer']
+Scores: [0.013864251784980297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03257949277758598]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8526219725608826]
+Labels: ['Mental Health']
+Scores: [0.010639122687280178]
+Labels: ['Diabetes type 1']
+Scores: [0.47570931911468506]
+Labels: ['Diabetes type 2']
+Scores: [0.529563844203949]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730510
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Nutrition Surveys', 'Heart Diseases', 'Diabetes Mellitus', 'Waist Circumference', 'Body Mass Index', 'Adiposity', 'Risk Factors', 'Adipose Tissue', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5305920839309692]
+Labels: ['Diabetes']
+Scores: [0.9267235994338989]
+Labels: ['Cancer']
+Scores: [0.04201958328485489]
+Labels: ['Chronic respiratory disease']
+Scores: [0.20865751802921295]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9845165014266968]
+Labels: ['Mental Health']
+Scores: [0.05203765630722046]
+Labels: ['Diabetes type 1']
+Scores: [0.6622644662857056]
+Labels: ['Diabetes type 2']
+Scores: [0.6905052065849304]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729755
+Predictions: ['Diabetes']
+MeshTerm: ['Biosensing Techniques', 'Microwaves', 'Humans', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Spectrum Analysis, Raman', 'Spectroscopy, Near-Infrared', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06376254558563232]
+Labels: ['Diabetes']
+Scores: [0.7707895636558533]
+Labels: ['Cancer']
+Scores: [0.0004967627464793622]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011863000690937042]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00044168654130771756]
+Labels: ['Mental Health']
+Scores: [0.0003256206400692463]
+Labels: ['Diabetes type 1']
+Scores: [0.6361382603645325]
+Labels: ['Diabetes type 2']
+Scores: [0.6057544350624084]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0038264207541942596]
+Labels: ['Diabetes']
+Scores: [0.9905779957771301]
+Labels: ['Cancer']
+Scores: [0.00017093573114834726]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013930501881986856]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9899780750274658]
+Labels: ['Mental Health']
+Scores: [0.0001686585892457515]
+Labels: ['Diabetes type 1']
+Scores: [0.7062427997589111]
+Labels: ['Diabetes type 2']
+Scores: [0.7302912473678589]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725454
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Kidney Transplantation', 'Male', 'Female', 'Child', 'Adolescent', 'Graft Survival', 'Graft Rejection', 'Diabetes Mellitus', 'Incidence', 'Retrospective Studies', 'Postoperative Complications', 'Survival Analysis', 'Child, Preschool', 'Transplant Recipients', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19986507296562195]
+Labels: ['Diabetes']
+Scores: [0.9064852595329285]
+Labels: ['Cancer']
+Scores: [0.001224157982505858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026120226830244064]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02583068609237671]
+Labels: ['Mental Health']
+Scores: [0.01139590423554182]
+Labels: ['Diabetes type 1']
+Scores: [0.44194674491882324]
+Labels: ['Diabetes type 2']
+Scores: [0.48065054416656494]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723173
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Wound Healing', 'Hypoxia-Inducible Factor 1, alpha Subunit', 'Animals', 'Deferoxamine', 'Diabetes Mellitus', 'Glycine', 'Nanoparticles', 'Isoquinolines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1212141215801239]
+Labels: ['Diabetes']
+Scores: [0.9955636262893677]
+Labels: ['Cancer']
+Scores: [0.0008005736744962633]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004974253242835402]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007744526374153793]
+Labels: ['Mental Health']
+Scores: [0.001721917768009007]
+Labels: ['Diabetes type 1']
+Scores: [0.974481463432312]
+Labels: ['Diabetes type 2']
+Scores: [0.6592389345169067]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721299
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Elasticity Imaging Techniques', 'Pilot Projects', 'Male', 'Female', 'Pancreas', 'Middle Aged', 'Adult', 'Case-Control Studies', 'Aged', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01290773693472147]
+Labels: ['Diabetes']
+Scores: [0.9728388786315918]
+Labels: ['Cancer']
+Scores: [0.00016168568981811404]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013842369662597775]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001374196435790509]
+Labels: ['Mental Health']
+Scores: [0.00011704928328981623]
+Labels: ['Diabetes type 1']
+Scores: [0.8701276779174805]
+Labels: ['Diabetes type 2']
+Scores: [0.7432055473327637]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720256
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Extracellular Vesicles', 'Osteoporosis', 'Animals', 'Diabetes Complications', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06043173000216484]
+Labels: ['Diabetes']
+Scores: [0.8390997052192688]
+Labels: ['Cancer']
+Scores: [0.0002507298195268959]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00038729383959434927]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005356190958991647]
+Labels: ['Mental Health']
+Scores: [0.00028657069196924567]
+Labels: ['Diabetes type 1']
+Scores: [0.30774372816085815]
+Labels: ['Diabetes type 2']
+Scores: [0.30017372965812683]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1259545534849167]
+Labels: ['Diabetes']
+Scores: [0.965433657169342]
+Labels: ['Cancer']
+Scores: [0.00019143013923894614]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024614192079752684]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019922207575291395]
+Labels: ['Mental Health']
+Scores: [0.00017765173106454313]
+Labels: ['Diabetes type 1']
+Scores: [0.6067537069320679]
+Labels: ['Diabetes type 2']
+Scores: [0.6702218055725098]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719762
+Predictions: ['Diabetes']
+MeshTerm: ['Particulate Matter', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Air Pollutants', 'Humans', 'Male', 'Prospective Studies', 'Air Pollution', 'Environmental Exposure', 'China', 'Aged', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13041222095489502]
+Labels: ['Diabetes']
+Scores: [0.1368919461965561]
+Labels: ['Cancer']
+Scores: [0.15160933136940002]
+Labels: ['Chronic respiratory disease']
+Scores: [0.49562275409698486]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2603985071182251]
+Labels: ['Mental Health']
+Scores: [0.004444632679224014]
+Labels: ['Diabetes type 1']
+Scores: [0.2812894582748413]
+Labels: ['Diabetes type 2']
+Scores: [0.24792486429214478]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719335
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Male', 'Female', 'Adult', 'Multimorbidity', 'Middle Aged', 'Chronic Disease', 'Prevalence', 'Aged', 'Hypertension', 'Obesity', 'Hyperuricemia', 'Dyslipidemias', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Adolescent', 'Rural Population', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23443318903446198]
+Labels: ['Diabetes']
+Scores: [0.4254780411720276]
+Labels: ['Cancer']
+Scores: [0.2645464837551117]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4509376883506775]
+Labels: ['Cardiovascular diseases']
+Scores: [0.44572633504867554]
+Labels: ['Mental Health']
+Scores: [0.0001578480441821739]
+Labels: ['Diabetes type 1']
+Scores: [0.370542049407959]
+Labels: ['Diabetes type 2']
+Scores: [0.39070022106170654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719334
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Female', 'Male', 'Adult', 'Middle Aged', 'Prevalence', 'Hyperuricemia', 'Chronic Disease', 'Hypertension', 'Metabolic Diseases', 'Dyslipidemias', 'Aged', 'Diabetes Mellitus', 'Young Adult', 'Rural Population', 'Adolescent', 'Urban Population', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5235089063644409]
+Labels: ['Diabetes']
+Scores: [0.6800958514213562]
+Labels: ['Cancer']
+Scores: [0.11990132182836533]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006470728549174964]
+Labels: ['Cardiovascular diseases']
+Scores: [0.21108627319335938]
+Labels: ['Mental Health']
+Scores: [0.00013710703933611512]
+Labels: ['Diabetes type 1']
+Scores: [0.5517767667770386]
+Labels: ['Diabetes type 2']
+Scores: [0.584192156791687]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719258
+Predictions: ['Diabetes']
+MeshTerm: ['MicroRNAs', 'Humans', 'Wound Healing', 'Animals', 'Signal Transduction', 'Diabetes Complications', 'Diabetes Mellitus', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3154548704624176]
+Labels: ['Diabetes']
+Scores: [0.9973023533821106]
+Labels: ['Cancer']
+Scores: [0.0006345439469441772]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003513497649691999]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00034063574275933206]
+Labels: ['Mental Health']
+Scores: [0.0012811629567295313]
+Labels: ['Diabetes type 1']
+Scores: [0.8464888334274292]
+Labels: ['Diabetes type 2']
+Scores: [0.7896217703819275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718458
+Predictions: ['Diabetes']
+MeshTerm: ['Titanium', 'Insulin', 'Animals', 'Hypoglycemic Agents', 'Particle Size', 'Glucose', 'Materials Testing', 'Nanoparticles', 'Surface Properties', 'Biocompatible Materials', 'Diabetes Mellitus', 'Drug Delivery Systems', 'Mice', 'Diabetes Mellitus, Experimental', 'Humans', 'Boronic Acids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009279030375182629]
+Labels: ['Diabetes']
+Scores: [0.9778609275817871]
+Labels: ['Cancer']
+Scores: [0.0001550426968606189]
+Labels: ['Chronic respiratory disease']
+Scores: [9.274635522160679e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012170078844064847]
+Labels: ['Mental Health']
+Scores: [0.00012735363270621747]
+Labels: ['Diabetes type 1']
+Scores: [0.6874464750289917]
+Labels: ['Diabetes type 2']
+Scores: [0.6145603656768799]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717102
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Postmenopause', 'Middle Aged', 'Coronary Disease', 'Cholesterol', 'Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Prevalence', 'United States', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009874542243778706]
+Labels: ['Diabetes']
+Scores: [0.8102295398712158]
+Labels: ['Cancer']
+Scores: [0.00013761785521637648]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002333527518203482]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9893132448196411]
+Labels: ['Mental Health']
+Scores: [0.0003043035394512117]
+Labels: ['Diabetes type 1']
+Scores: [0.5077369213104248]
+Labels: ['Diabetes type 2']
+Scores: [0.6374924778938293]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717099
+Predictions: ['Diabetes']
+MeshTerm: ['Bibliometrics', 'Humans', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Inflammasomes', 'Diabetes Mellitus', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009785464499145746]
+Labels: ['Diabetes']
+Scores: [0.9705857038497925]
+Labels: ['Cancer']
+Scores: [0.00017306330846622586]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002132029039785266]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002027635055128485]
+Labels: ['Mental Health']
+Scores: [8.459593664156273e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.77116858959198]
+Labels: ['Diabetes type 2']
+Scores: [0.7815163135528564]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716287
+Predictions: ['Diabetes']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Administration, Oral', 'Blood Glucose', 'Cholecalciferol', 'Creatine', 'Diabetes Mellitus', 'Dietary Supplements', 'Iran', 'Muscle Strength', 'Muscle, Skeletal', 'Oxidative Stress', 'Randomized Controlled Trials as Topic', 'Sarcopenia', 'Treatment Outcome', 'Valerates', 'Whey Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07033108919858932]
+Labels: ['Diabetes']
+Scores: [0.988259494304657]
+Labels: ['Cancer']
+Scores: [0.0001764394692145288]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006809149635955691]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018804104765877128]
+Labels: ['Mental Health']
+Scores: [0.00020083578419871628]
+Labels: ['Diabetes type 1']
+Scores: [0.0660632774233818]
+Labels: ['Diabetes type 2']
+Scores: [0.2940341830253601]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716100
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Gastrointestinal Microbiome', 'Kidney Transplantation', 'Postoperative Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05845707654953003]
+Labels: ['Diabetes']
+Scores: [0.8469251990318298]
+Labels: ['Cancer']
+Scores: [0.000253469857852906]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00030074166716076434]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07383711636066437]
+Labels: ['Mental Health']
+Scores: [0.0001786819484550506]
+Labels: ['Diabetes type 1']
+Scores: [0.19093026220798492]
+Labels: ['Diabetes type 2']
+Scores: [0.32228124141693115]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715819
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus', 'Egypt', 'Health Knowledge, Attitudes, Practice', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6526807546615601]
+Labels: ['Diabetes']
+Scores: [0.9955382347106934]
+Labels: ['Cancer']
+Scores: [0.05491414666175842]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04882875084877014]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05849185585975647]
+Labels: ['Mental Health']
+Scores: [0.09929713606834412]
+Labels: ['Diabetes type 1']
+Scores: [0.8220235705375671]
+Labels: ['Diabetes type 2']
+Scores: [0.7148320078849792]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715497
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'COVID-19 Vaccines', 'Antibodies, Neutralizing', 'COVID-19', 'Female', 'HIV Infections', 'Middle Aged', 'Antibodies, Viral', 'Immunoglobulin G', 'SARS-CoV-2', 'Immunity, Humoral', 'Adult', 'Diabetes Mellitus', 'Vaccination', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11714736372232437]
+Labels: ['Diabetes']
+Scores: [0.27640631794929504]
+Labels: ['Cancer']
+Scores: [0.00022110436111688614]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13266229629516602]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016062513459473848]
+Labels: ['Mental Health']
+Scores: [0.0002635733981151134]
+Labels: ['Diabetes type 1']
+Scores: [0.529495120048523]
+Labels: ['Diabetes type 2']
+Scores: [0.20497876405715942]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714194
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Middle Aged', 'Ischemic Stroke', 'Aged, 80 and over', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Age Factors', 'Blood Glucose', 'Prospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22624938189983368]
+Labels: ['Diabetes']
+Scores: [0.9723668694496155]
+Labels: ['Cancer']
+Scores: [0.0005563921295106411]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024406723969150335]
+Labels: ['Cardiovascular diseases']
+Scores: [0.928500771522522]
+Labels: ['Mental Health']
+Scores: [0.0012473218375816941]
+Labels: ['Diabetes type 1']
+Scores: [0.7528723478317261]
+Labels: ['Diabetes type 2']
+Scores: [0.5932440757751465]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714134
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Saliva', 'Metal-Organic Frameworks', 'Transistors, Electronic', 'Glucose', 'Electrodes', 'Biosensing Techniques', 'Electrochemical Techniques', 'Nickel', 'Particle Size']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33261486887931824]
+Labels: ['Diabetes']
+Scores: [0.8719679117202759]
+Labels: ['Cancer']
+Scores: [0.0003584075311664492]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000267094379523769]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005669724778272212]
+Labels: ['Mental Health']
+Scores: [0.0003306168073322624]
+Labels: ['Diabetes type 1']
+Scores: [0.7640215158462524]
+Labels: ['Diabetes type 2']
+Scores: [0.7273555397987366]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008959286496974528]
+Labels: ['Diabetes']
+Scores: [0.9807605147361755]
+Labels: ['Cancer']
+Scores: [8.526424062438309e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.283072045538574e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.199099491117522e-05]
+Labels: ['Mental Health']
+Scores: [5.65809132240247e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.6842493414878845]
+Labels: ['Diabetes type 2']
+Scores: [0.6589269638061523]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709946
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Transcription Factor 7-Like 2 Protein', 'beta Catenin', 'Wnt3A Protein', 'Wnt Signaling Pathway', 'Diabetic Nephropathies', 'Animals', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001994970953091979]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [8.922072447603568e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.365551522932947e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9808542728424072]
+Labels: ['Mental Health']
+Scores: [8.407927089137957e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.778938889503479]
+Labels: ['Diabetes type 2']
+Scores: [0.8126130104064941]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709804
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vaccination Coverage', 'Cross-Sectional Studies', 'Influenza, Human', 'Male', 'Influenza Vaccines', 'Female', 'Europe', 'Middle Aged', 'Aged', 'Diabetes Mellitus', 'Seasons', 'Vaccination', 'Social Determinants of Health', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15225942432880402]
+Labels: ['Diabetes']
+Scores: [0.7113717198371887]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.06558098644018173]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022703930153511465]
+Labels: ['Mental Health']
+Scores: [0.00468605849891901]
+Labels: ['Diabetes type 1']
+Scores: [0.28493860363960266]
+Labels: ['Diabetes type 2']
+Scores: [0.34269529581069946]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709395
+Predictions: ['Diabetes']
+MeshTerm: ['Bayes Theorem', 'Humans', 'Software', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.529422402381897]
+Labels: ['Diabetes']
+Scores: [0.49165448546409607]
+Labels: ['Cancer']
+Scores: [0.5781797170639038]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5607812404632568]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5531764030456543]
+Labels: ['Mental Health']
+Scores: [0.0017664876068010926]
+Labels: ['Diabetes type 1']
+Scores: [0.6719868779182434]
+Labels: ['Diabetes type 2']
+Scores: [0.6432598233222961]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Middle Aged', 'Retrospective Studies', 'Male', 'Adult', 'Female', 'Aged', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Aged, 80 and over', 'Oman', 'Body Mass Index', 'Blood Pressure', 'Young Adult', 'SARS-CoV-2', 'Hypertension', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8458060622215271]
+Labels: ['Diabetes']
+Scores: [0.995215892791748]
+Labels: ['Cancer']
+Scores: [0.00010505154932616279]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015576654113829136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006706623244099319]
+Labels: ['Mental Health']
+Scores: [0.00010202769772149622]
+Labels: ['Diabetes type 1']
+Scores: [0.7901458740234375]
+Labels: ['Diabetes type 2']
+Scores: [0.7865235805511475]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39707324
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Triglycerides', 'Longitudinal Studies', 'Male', 'Middle Aged', 'Female', 'Blood Glucose', 'China', 'Aged', 'Obesity', 'Risk Factors', 'Insulin Resistance', 'Diabetes Mellitus', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3643733561038971]
+Labels: ['Diabetes']
+Scores: [0.9603084921836853]
+Labels: ['Cancer']
+Scores: [0.014344736933708191]
+Labels: ['Chronic respiratory disease']
+Scores: [0.061299655586481094]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19528880715370178]
+Labels: ['Mental Health']
+Scores: [0.00024166045477613807]
+Labels: ['Diabetes type 1']
+Scores: [0.5792190432548523]
+Labels: ['Diabetes type 2']
+Scores: [0.694948136806488]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707271
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Erectile Dysfunction', 'Ethiopia', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Hospitals, Public', 'Prevalence', 'Risk Factors', 'Diabetes Mellitus', 'Poisson Distribution', 'Young Adult', 'Diabetes Complications', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.044216737151145935]
+Labels: ['Diabetes']
+Scores: [0.8466041088104248]
+Labels: ['Cancer']
+Scores: [0.00015046153566800058]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022867998632136732]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00032434347667731345]
+Labels: ['Mental Health']
+Scores: [0.15849384665489197]
+Labels: ['Diabetes type 1']
+Scores: [0.10354533791542053]
+Labels: ['Diabetes type 2']
+Scores: [0.3143714666366577]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707185
+Predictions: ['Diabetes']
+MeshTerm: ['Gastrointestinal Microbiome', 'Humans', 'Diabetes Mellitus', 'Protein Interaction Maps', 'Network Pharmacology', 'Proto-Oncogene Proteins c-akt', 'Metabolome', 'PPAR gamma', 'Signal Transduction', 'Metabolomics', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019369693472981453]
+Labels: ['Diabetes']
+Scores: [0.9455293416976929]
+Labels: ['Cancer']
+Scores: [0.0002222822658950463]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00035481626400724053]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008241665782406926]
+Labels: ['Mental Health']
+Scores: [0.0002591030206531286]
+Labels: ['Diabetes type 1']
+Scores: [0.7769641876220703]
+Labels: ['Diabetes type 2']
+Scores: [0.7662013173103333]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706370
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Glucose Tolerance Test', 'Adult', 'Blood Glucose', 'Hyperglycemia', 'Glycated Hemoglobin', 'Insulin Resistance', 'China', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Aged', 'Insulin', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005754744634032249]
+Labels: ['Diabetes']
+Scores: [0.9357173442840576]
+Labels: ['Cancer']
+Scores: [9.782954293768853e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.081000512698665e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010904006194323301]
+Labels: ['Mental Health']
+Scores: [8.863783295964822e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.36411458253860474]
+Labels: ['Diabetes type 2']
+Scores: [0.49854788184165955]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39705195
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cardio-Renal Syndrome', 'Diabetes Mellitus', 'Metabolic Diseases', 'Practice Guidelines as Topic', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03028775379061699]
+Labels: ['Diabetes']
+Scores: [0.9129610061645508]
+Labels: ['Cancer']
+Scores: [0.00028257514350116253]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002859034575521946]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9620500206947327]
+Labels: ['Mental Health']
+Scores: [0.005058302078396082]
+Labels: ['Diabetes type 1']
+Scores: [0.5148599147796631]
+Labels: ['Diabetes type 2']
+Scores: [0.6202354431152344]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703865
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Uric Acid', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Cholesterol, HDL', 'Prospective Studies', 'Adult', 'Biomarkers', 'Diabetes Mellitus', 'Prognosis', 'Aged', 'Nutrition Surveys', 'Cohort Studies', 'Follow-Up Studies', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020420340821146965]
+Labels: ['Diabetes']
+Scores: [0.9683747887611389]
+Labels: ['Cancer']
+Scores: [0.00023567710013594478]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002681407786440104]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9567837119102478]
+Labels: ['Mental Health']
+Scores: [0.00019444379722699523]
+Labels: ['Diabetes type 1']
+Scores: [0.5415147542953491]
+Labels: ['Diabetes type 2']
+Scores: [0.7127382159233093]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39703057
+Predictions: ['Diabetes']
+MeshTerm: ['Strongyloides stercoralis', 'Strongyloidiasis', 'Animals', 'Humans', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33003291487693787]
+Labels: ['Diabetes']
+Scores: [0.9770251512527466]
+Labels: ['Cancer']
+Scores: [0.00019127987616229802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003839824930764735]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00048253234126605093]
+Labels: ['Mental Health']
+Scores: [0.0004230234189890325]
+Labels: ['Diabetes type 1']
+Scores: [0.6637352108955383]
+Labels: ['Diabetes type 2']
+Scores: [0.5795382261276245]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702258
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nasopharynx', 'Male', 'Female', 'Case-Control Studies', 'Adult', 'Middle Aged', 'Ghana', 'Diabetes Mellitus', 'Aged', 'Bacteria', 'Young Adult', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04308085888624191]
+Labels: ['Diabetes']
+Scores: [0.584932267665863]
+Labels: ['Cancer']
+Scores: [0.00025400417507626116]
+Labels: ['Chronic respiratory disease']
+Scores: [0.058385610580444336]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013545227702707052]
+Labels: ['Mental Health']
+Scores: [0.0003958504821639508]
+Labels: ['Diabetes type 1']
+Scores: [0.5038544535636902]
+Labels: ['Diabetes type 2']
+Scores: [0.5018254518508911]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702047
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Malaysia', 'Male', 'Mobile Applications', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Telemedicine', 'Self-Management', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Aged', 'Diabetes Mellitus, Type 2', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04445024952292442]
+Labels: ['Diabetes']
+Scores: [0.9504532217979431]
+Labels: ['Cancer']
+Scores: [0.00012156247248640284]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001310731313424185]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019707469618879259]
+Labels: ['Mental Health']
+Scores: [0.0001702284935163334]
+Labels: ['Diabetes type 1']
+Scores: [0.8093121647834778]
+Labels: ['Diabetes type 2']
+Scores: [0.6946223378181458]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39700129
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Bangladesh', 'Hyperglycemia', 'Middle Aged', 'Tertiary Care Centers', 'Diabetes Mellitus', 'Prospective Studies', 'Adult', 'Follow-Up Studies', 'Aged', 'SARS-CoV-2', 'Hospitalization', 'Patient Discharge', 'Risk Factors', 'Socioeconomic Factors', 'Hospital Mortality']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012640195898711681]
+Labels: ['Diabetes']
+Scores: [0.9830430150032043]
+Labels: ['Cancer']
+Scores: [0.0001363539631711319]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009953714907169342]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003270423330832273]
+Labels: ['Mental Health']
+Scores: [0.0009455480612814426]
+Labels: ['Diabetes type 1']
+Scores: [0.7572416067123413]
+Labels: ['Diabetes type 2']
+Scores: [0.5616944432258606]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699704
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Hyperglycemia', 'Diabetes Mellitus', 'Risk Factors', 'Atherosclerosis', 'Blood Glucose']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024383077397942543]
+Labels: ['Diabetes']
+Scores: [0.9646361470222473]
+Labels: ['Cancer']
+Scores: [0.0004828395030926913]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016714731464162469]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9889116287231445]
+Labels: ['Mental Health']
+Scores: [0.0020605872850865126]
+Labels: ['Diabetes type 1']
+Scores: [0.5949890613555908]
+Labels: ['Diabetes type 2']
+Scores: [0.5354331135749817]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699431
+Predictions: ['Diabetes']
+MeshTerm: ['Quality of Life', 'Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Patient Education as Topic', 'Educational Technology', 'Adult', 'Aged', 'Surveys and Questionnaires', 'Controlled Before-After Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3482598066329956]
+Labels: ['Diabetes']
+Scores: [0.9750065207481384]
+Labels: ['Cancer']
+Scores: [0.00022078451002016664]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00040555401938036084]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008249101229012012]
+Labels: ['Mental Health']
+Scores: [0.012975228019058704]
+Labels: ['Diabetes type 1']
+Scores: [0.7771660089492798]
+Labels: ['Diabetes type 2']
+Scores: [0.8337069749832153]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39698032
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Middle Aged', 'Intra-Abdominal Fat', 'Japan', 'Cohort Studies', 'Obesity, Abdominal', 'Adiposity', 'Diabetes Mellitus', 'Risk Factors', 'Blood Glucose', 'Longitudinal Studies', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09647969901561737]
+Labels: ['Diabetes']
+Scores: [0.942051112651825]
+Labels: ['Cancer']
+Scores: [0.0007784218178130686]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006726095452904701]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009668676066212356]
+Labels: ['Mental Health']
+Scores: [0.0004398428718559444]
+Labels: ['Diabetes type 1']
+Scores: [0.7533933520317078]
+Labels: ['Diabetes type 2']
+Scores: [0.7789306640625]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696515
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Uric Acid', 'C-Reactive Protein', 'Male', 'Female', 'Insulin Resistance', 'Triglycerides', 'Cholesterol, HDL', 'Adult', 'Middle Aged', 'Risk Factors', 'Sex Factors', 'Diabetes Mellitus', 'Mediation Analysis', 'Biomarkers', 'Sex Characteristics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06945661455392838]
+Labels: ['Diabetes']
+Scores: [0.872565507888794]
+Labels: ['Cancer']
+Scores: [0.0001413283753208816]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009257622994482517]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010242586955428123]
+Labels: ['Mental Health']
+Scores: [9.639999188948423e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.6185932159423828]
+Labels: ['Diabetes type 2']
+Scores: [0.6565256714820862]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696157
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'China', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Health Services Needs and Demand', 'Diabetes Mellitus', 'Young Adult', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Mass Screening', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005229491740465164]
+Labels: ['Diabetes']
+Scores: [0.998056948184967]
+Labels: ['Cancer']
+Scores: [0.00012964427878614515]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014164616004563868]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005856372299604118]
+Labels: ['Mental Health']
+Scores: [0.0001329541701124981]
+Labels: ['Diabetes type 1']
+Scores: [0.7134033441543579]
+Labels: ['Diabetes type 2']
+Scores: [0.7583603858947754]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696101
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Middle Aged', 'Health Surveys', 'Young Adult', 'Risk Factors', 'Sex Factors', 'Undiagnosed Diseases', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20044130086898804]
+Labels: ['Diabetes']
+Scores: [0.9533038139343262]
+Labels: ['Cancer']
+Scores: [0.0006406240281648934]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017618092242628336]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012039369903504848]
+Labels: ['Mental Health']
+Scores: [0.005507569294422865]
+Labels: ['Diabetes type 1']
+Scores: [0.78374844789505]
+Labels: ['Diabetes type 2']
+Scores: [0.7455653548240662]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695649
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Diabetes Mellitus', 'Neural Networks, Computer', 'Middle Aged', 'Female', 'Male', 'Models, Statistical', 'Support Vector Machine', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01118557434529066]
+Labels: ['Diabetes']
+Scores: [0.9802405834197998]
+Labels: ['Cancer']
+Scores: [8.42271838337183e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.088600588962436e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.963351188460365e-05]
+Labels: ['Mental Health']
+Scores: [8.987291221274063e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.6469128727912903]
+Labels: ['Diabetes type 2']
+Scores: [0.7204769849777222]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695632
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Malawi', 'Qualitative Research', 'Female', 'Diabetes Mellitus', 'Focus Groups', 'Health Knowledge, Attitudes, Practice', 'Adult', 'Male', 'Nursing Staff, Hospital', 'Tertiary Care Centers', 'Clinical Competence', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3187313973903656]
+Labels: ['Diabetes']
+Scores: [0.979594886302948]
+Labels: ['Cancer']
+Scores: [0.0003251461312174797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006298906519077718]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015872670337557793]
+Labels: ['Mental Health']
+Scores: [0.06402337551116943]
+Labels: ['Diabetes type 1']
+Scores: [0.7979031801223755]
+Labels: ['Diabetes type 2']
+Scores: [0.7457849979400635]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695379
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cluster Analysis', 'Regression Analysis', 'Models, Statistical', 'Algorithms', 'Diabetes Mellitus', 'Data Interpretation, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.47905436158180237]
+Labels: ['Diabetes']
+Scores: [0.4289630055427551]
+Labels: ['Cancer']
+Scores: [0.31755879521369934]
+Labels: ['Chronic respiratory disease']
+Scores: [0.39302247762680054]
+Labels: ['Cardiovascular diseases']
+Scores: [0.46859219670295715]
+Labels: ['Mental Health']
+Scores: [0.22046060860157013]
+Labels: ['Diabetes type 1']
+Scores: [0.466642826795578]
+Labels: ['Diabetes type 2']
+Scores: [0.44967779517173767]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693799
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Prediabetic State', 'Incidence', 'Middle Aged', 'Depression', 'Triglycerides', 'United States', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Diabetes Mellitus', 'Aged', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004534296225756407]
+Labels: ['Diabetes']
+Scores: [0.9378998279571533]
+Labels: ['Cancer']
+Scores: [0.00015176866145338863]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013129888975527138]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0025060016196221113]
+Labels: ['Mental Health']
+Scores: [0.10779102146625519]
+Labels: ['Diabetes type 1']
+Scores: [0.7634528875350952]
+Labels: ['Diabetes type 2']
+Scores: [0.6498424410820007]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693267
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Renal Dialysis', 'Kidney Failure, Chronic', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Blood Glucose', 'Precision Medicine', 'Hypoglycemic Agents', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5516644716262817]
+Labels: ['Diabetes']
+Scores: [0.9833012819290161]
+Labels: ['Cancer']
+Scores: [0.09494559466838837]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09588763117790222]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7201914191246033]
+Labels: ['Mental Health']
+Scores: [0.25649353861808777]
+Labels: ['Diabetes type 1']
+Scores: [0.659568190574646]
+Labels: ['Diabetes type 2']
+Scores: [0.5629457831382751]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39692388
+Predictions: ['Diabetes']
+MeshTerm: ['Adolescent', 'Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Young Adult', 'Arabs', 'Chronic Disease', 'Diabetes Mellitus', 'Health Status Disparities', 'Israel', 'Jews', 'Obesity', 'Prevalence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10660400986671448]
+Labels: ['Diabetes']
+Scores: [0.6362473964691162]
+Labels: ['Cancer']
+Scores: [0.3887338638305664]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5655041337013245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49071717262268066]
+Labels: ['Mental Health']
+Scores: [0.01161975972354412]
+Labels: ['Diabetes type 1']
+Scores: [0.638383150100708]
+Labels: ['Diabetes type 2']
+Scores: [0.6395294070243835]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686708
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Glycated Hemoglobin', 'Time Factors', 'Biometry', 'Models, Statistical', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.40544819831848145]
+Labels: ['Diabetes']
+Scores: [0.9872152209281921]
+Labels: ['Cancer']
+Scores: [0.007910714484751225]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03639413043856621]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15812912583351135]
+Labels: ['Mental Health']
+Scores: [0.026201540604233742]
+Labels: ['Diabetes type 1']
+Scores: [0.6873734593391418]
+Labels: ['Diabetes type 2']
+Scores: [0.6636910438537598]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686687
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Colorectal Neoplasms', 'Metabolic Syndrome', 'Middle Aged', 'Early Detection of Cancer', 'Male', 'Europe', 'Female', 'Adult', 'Diabetes Mellitus', 'North America', 'Age Factors', 'Risk Factors', 'Mass Screening', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0011592083610594273]
+Labels: ['Diabetes']
+Scores: [0.8891107439994812]
+Labels: ['Cancer']
+Scores: [0.9127216935157776]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012571534898597747]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003170826530549675]
+Labels: ['Mental Health']
+Scores: [0.00010926103277597576]
+Labels: ['Diabetes type 1']
+Scores: [0.4780068099498749]
+Labels: ['Diabetes type 2']
+Scores: [0.5051147937774658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684919
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cyclin-Dependent Kinase Inhibitor p21', 'Diabetes Mellitus', 'Animals', 'Metabolic Diseases', 'Insulin Resistance', 'DNA Damage']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09495541453361511]
+Labels: ['Diabetes']
+Scores: [0.9920640587806702]
+Labels: ['Cancer']
+Scores: [0.07906315475702286]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003677862696349621]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006443414022214711]
+Labels: ['Mental Health']
+Scores: [0.0002585462643764913]
+Labels: ['Diabetes type 1']
+Scores: [0.7800683379173279]
+Labels: ['Diabetes type 2']
+Scores: [0.7782350778579712]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39684905
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Cats', 'Insulin', 'Signal Transduction', 'Muscle, Skeletal', 'Biomarkers', 'Liver', 'Cat Diseases', 'Male', 'Pancreas', 'Diabetes Mellitus', 'Receptor, Insulin', 'Female', 'Insulin Resistance', 'Insulin Receptor Substrate Proteins', 'Glucagon-Like Peptide 1', 'Incretins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06040504202246666]
+Labels: ['Diabetes']
+Scores: [0.549756646156311]
+Labels: ['Cancer']
+Scores: [0.00017020579252857715]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024382556148339063]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009609807748347521]
+Labels: ['Mental Health']
+Scores: [0.0007440631743520498]
+Labels: ['Diabetes type 1']
+Scores: [0.32914087176322937]
+Labels: ['Diabetes type 2']
+Scores: [0.2889217138290405]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684868
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nanostructures', 'Pancreatic Diseases', 'Animals', 'Drug Delivery Systems', 'Pancreatic Neoplasms', 'Diabetes Mellitus', 'Drug Carriers', 'Pancreas']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0029357029125094414]
+Labels: ['Diabetes']
+Scores: [0.9070294499397278]
+Labels: ['Cancer']
+Scores: [0.03206050023436546]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010026872769230977]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012862385483458638]
+Labels: ['Mental Health']
+Scores: [0.00010548545833444223]
+Labels: ['Diabetes type 1']
+Scores: [0.37887343764305115]
+Labels: ['Diabetes type 2']
+Scores: [0.4027131199836731]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684468
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Apolipoprotein C-III', 'Cardiovascular Diseases', 'Animals', 'Diabetes Mellitus', 'Metabolic Diseases', 'Lipoproteins', 'Triglycerides', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05925976112484932]
+Labels: ['Diabetes']
+Scores: [0.974687933921814]
+Labels: ['Cancer']
+Scores: [0.00034669451997615397]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000483749812701717]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9085344672203064]
+Labels: ['Mental Health']
+Scores: [0.0009552376577630639]
+Labels: ['Diabetes type 1']
+Scores: [0.5790639519691467]
+Labels: ['Diabetes type 2']
+Scores: [0.6778146624565125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684379
+Predictions: ['Diabetes']
+MeshTerm: ['Leptin', 'Humans', 'Obesity', 'Metabolic Diseases', 'Diabetes Mellitus', 'Female', 'Male', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.151486337184906]
+Labels: ['Diabetes']
+Scores: [0.9800533056259155]
+Labels: ['Cancer']
+Scores: [0.02385532483458519]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05497365817427635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.086348757147789]
+Labels: ['Mental Health']
+Scores: [0.038910530507564545]
+Labels: ['Diabetes type 1']
+Scores: [0.7473267316818237]
+Labels: ['Diabetes type 2']
+Scores: [0.7670990824699402]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39684343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Acetamides', 'Diabetes Mellitus', 'Depression', 'Antidepressive Agents', 'Depressive Disorder, Major', 'Blood Glucose', 'Glycated Hemoglobin', 'Treatment Outcome', 'Naphthalenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4355466961860657]
+Labels: ['Diabetes']
+Scores: [0.9557199478149414]
+Labels: ['Cancer']
+Scores: [0.01771629974246025]
+Labels: ['Chronic respiratory disease']
+Scores: [0.058412887156009674]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06029948592185974]
+Labels: ['Mental Health']
+Scores: [0.659287691116333]
+Labels: ['Diabetes type 1']
+Scores: [0.7231451272964478]
+Labels: ['Diabetes type 2']
+Scores: [0.7339802384376526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39683638
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ferritins', 'Male', 'Middle Aged', 'Female', 'Mongolia', 'Cross-Sectional Studies', 'Cardiovascular Diseases', 'Meat', 'Diet', 'Heart Disease Risk Factors', 'Adult', 'Biomarkers', 'Aged', 'Diabetes Mellitus', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021210037171840668]
+Labels: ['Diabetes']
+Scores: [0.9818493127822876]
+Labels: ['Cancer']
+Scores: [0.00013117333583068103]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022899593750480562]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9217252731323242]
+Labels: ['Mental Health']
+Scores: [0.00013817314174957573]
+Labels: ['Diabetes type 1']
+Scores: [0.5386172533035278]
+Labels: ['Diabetes type 2']
+Scores: [0.6584386825561523]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Blood Glucose', 'Independent Living', 'Italy', 'Fatty Acids, Unsaturated', 'Diabetes Mellitus', 'Aged, 80 and over', 'Diet', 'Blood Pressure', 'Cardiometabolic Risk Factors', 'Fatty Acids, Omega-3', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39291608333587646]
+Labels: ['Diabetes']
+Scores: [0.8903874158859253]
+Labels: ['Cancer']
+Scores: [0.00045257012243382633]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016270533669739962]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49003031849861145]
+Labels: ['Mental Health']
+Scores: [0.0012613603612408042]
+Labels: ['Diabetes type 1']
+Scores: [0.5320675373077393]
+Labels: ['Diabetes type 2']
+Scores: [0.6333319544792175]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39683416
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Dietary Supplements', 'Female', 'Nutrition Surveys', 'Male', 'Middle Aged', 'Adult', 'United States', 'Diabetes Mellitus', 'Motivation', 'Aged', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.044241782277822495]
+Labels: ['Diabetes']
+Scores: [0.9120742082595825]
+Labels: ['Cancer']
+Scores: [0.00026305700885131955]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003665108815766871]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003288261068519205]
+Labels: ['Mental Health']
+Scores: [0.001110504730604589]
+Labels: ['Diabetes type 1']
+Scores: [0.6472041010856628]
+Labels: ['Diabetes type 2']
+Scores: [0.7759048938751221]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39681993
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Dogs', 'Dog Diseases', 'Fatty Liver', 'Tomography, X-Ray Computed', 'Male', 'Liver', 'Female', 'Diabetic Ketoacidosis', 'Diabetes Mellitus', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17708969116210938]
+Labels: ['Diabetes']
+Scores: [0.9709060192108154]
+Labels: ['Cancer']
+Scores: [0.003710780758410692]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00881315115839243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3939081132411957]
+Labels: ['Mental Health']
+Scores: [0.002485058968886733]
+Labels: ['Diabetes type 1']
+Scores: [0.6928731799125671]
+Labels: ['Diabetes type 2']
+Scores: [0.8958873748779297]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39681831
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Fear', 'Feeding Behavior', 'Diabetes Mellitus', 'Cognitive Behavioral Therapy', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012205199338495731]
+Labels: ['Diabetes']
+Scores: [0.982177197933197]
+Labels: ['Cancer']
+Scores: [0.00038316476275213063]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004611093900166452]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1676650494337082]
+Labels: ['Mental Health']
+Scores: [0.8775509595870972]
+Labels: ['Diabetes type 1']
+Scores: [0.8129162788391113]
+Labels: ['Diabetes type 2']
+Scores: [0.7958220839500427]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681614
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Polyradiculoneuropathy, Chronic Inflammatory Demyelinating', 'Male', 'Diabetic Neuropathies', 'Female', 'Middle Aged', 'Ultrasonography', 'Diagnosis, Differential', 'Aged', 'Neural Conduction', 'ROC Curve', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5926271080970764]
+Labels: ['Diabetes']
+Scores: [0.9684735536575317]
+Labels: ['Cancer']
+Scores: [0.06815605610609055]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02778833918273449]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06249742954969406]
+Labels: ['Mental Health']
+Scores: [0.03575161471962929]
+Labels: ['Diabetes type 1']
+Scores: [0.9552544355392456]
+Labels: ['Diabetes type 2']
+Scores: [0.9560185074806213]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39681186
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Risk Factors', 'Nutrition Surveys', 'United States', 'Dementia', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Obesity', 'Smoking', 'Hypertension', 'Alcohol Drinking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006182716693729162]
+Labels: ['Diabetes']
+Scores: [0.9871956706047058]
+Labels: ['Cancer']
+Scores: [0.00020237392163835466]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05170672759413719]
+Labels: ['Cardiovascular diseases']
+Scores: [0.020503206178545952]
+Labels: ['Mental Health']
+Scores: [0.0025947378017008305]
+Labels: ['Diabetes type 1']
+Scores: [0.589867889881134]
+Labels: ['Diabetes type 2']
+Scores: [0.720733642578125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39680279
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Recurrence', 'Computer Simulation', 'Models, Statistical', 'Proportional Hazards Models', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07105452567338943]
+Labels: ['Diabetes']
+Scores: [0.9773707985877991]
+Labels: ['Cancer']
+Scores: [0.0003093290433753282]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005197422578930855]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013313478557392955]
+Labels: ['Mental Health']
+Scores: [0.00030553186661563814]
+Labels: ['Diabetes type 1']
+Scores: [0.8023414611816406]
+Labels: ['Diabetes type 2']
+Scores: [0.8002492785453796]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39680083
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Bursitis', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Aged', 'Dilatation', 'Range of Motion, Articular', 'Shoulder Joint', 'Treatment Outcome', 'Pain Measurement', 'Adult', 'Diabetes Mellitus', 'Diabetes Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0011520606931298971]
+Labels: ['Diabetes']
+Scores: [0.24899272620677948]
+Labels: ['Cancer']
+Scores: [7.89802725194022e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.540122507838532e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.05264460016042e-05]
+Labels: ['Mental Health']
+Scores: [6.976088479859754e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.4002474248409271]
+Labels: ['Diabetes type 2']
+Scores: [0.3356003761291504]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678201
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Food Insecurity', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Adult', 'Social Class', 'Family Characteristics', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010054824873805046]
+Labels: ['Diabetes']
+Scores: [0.8881629109382629]
+Labels: ['Cancer']
+Scores: [0.0001174032295239158]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002618311846163124]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9251241683959961]
+Labels: ['Mental Health']
+Scores: [0.00022577874187845737]
+Labels: ['Diabetes type 1']
+Scores: [0.4252374768257141]
+Labels: ['Diabetes type 2']
+Scores: [0.54758220911026]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39676179
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Holistic Health', 'Mind-Body Therapies', 'Diabetes Mellitus', 'Neurosecretory Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012391537427902222]
+Labels: ['Diabetes']
+Scores: [0.9973973035812378]
+Labels: ['Cancer']
+Scores: [0.00020494965428952128]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22051523625850677]
+Labels: ['Cardiovascular diseases']
+Scores: [0.022853605449199677]
+Labels: ['Mental Health']
+Scores: [0.00861424207687378]
+Labels: ['Diabetes type 1']
+Scores: [0.7961105108261108]
+Labels: ['Diabetes type 2']
+Scores: [0.8080201148986816]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675484
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Adult', 'Aged', 'Body Mass Index', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008717803284525871]
+Labels: ['Diabetes']
+Scores: [0.9838914275169373]
+Labels: ['Cancer']
+Scores: [0.0003759239916689694]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022890673426445574]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7118854522705078]
+Labels: ['Mental Health']
+Scores: [0.000175670298631303]
+Labels: ['Diabetes type 1']
+Scores: [0.4755117893218994]
+Labels: ['Diabetes type 2']
+Scores: [0.5560306906700134]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39674445
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Arsenic', 'Homeostasis', 'Animals', 'Glucose', 'Diabetes Mellitus', 'Microbiota', 'Gastrointestinal Microbiome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6352299451828003]
+Labels: ['Diabetes']
+Scores: [0.9955161213874817]
+Labels: ['Cancer']
+Scores: [0.021965112537145615]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2786521315574646]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02381644770503044]
+Labels: ['Mental Health']
+Scores: [0.011866373009979725]
+Labels: ['Diabetes type 1']
+Scores: [0.9710109233856201]
+Labels: ['Diabetes type 2']
+Scores: [0.9612095355987549]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673957
+Predictions: ['Diabetes']
+MeshTerm: ['Acetone', 'Zinc Oxide', 'Biosensing Techniques', 'Humans', 'Optical Fibers', 'Diabetes Mellitus', 'Biomarkers', 'Limit of Detection', 'Breath Tests', 'Equipment Design', 'Volatile Organic Compounds', 'Fiber Optic Technology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04197085276246071]
+Labels: ['Diabetes']
+Scores: [0.9628142714500427]
+Labels: ['Cancer']
+Scores: [0.00021576609287876636]
+Labels: ['Chronic respiratory disease']
+Scores: [0.30481794476509094]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000602862739469856]
+Labels: ['Mental Health']
+Scores: [0.00029033864848315716]
+Labels: ['Diabetes type 1']
+Scores: [0.6233802437782288]
+Labels: ['Diabetes type 2']
+Scores: [0.6076582670211792]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673919
+Predictions: ['Diabetes', 'Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Incidence', 'Adult', 'Aged', 'Diabetes Mellitus', 'New Zealand', 'Young Adult', 'Registries', 'Cohort Studies', 'Adolescent', 'Aged, 80 and over', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17513468861579895]
+Labels: ['Diabetes']
+Scores: [0.9274181127548218]
+Labels: ['Cancer']
+Scores: [0.8558189272880554]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007822103216312826]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005285795195959508]
+Labels: ['Mental Health']
+Scores: [0.00783728901296854]
+Labels: ['Diabetes type 1']
+Scores: [0.6682073473930359]
+Labels: ['Diabetes type 2']
+Scores: [0.7167484760284424]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673498
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Female', 'Self Care', 'Primary Health Care', 'Middle Aged', 'Aged', 'Follow-Up Studies', 'Longitudinal Studies', 'Hypertension', 'Coronary Artery Disease', 'Diabetes Mellitus', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02135738544166088]
+Labels: ['Diabetes']
+Scores: [0.048051487654447556]
+Labels: ['Cancer']
+Scores: [0.001963511109352112]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05361005663871765]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001944332616403699]
+Labels: ['Mental Health']
+Scores: [0.0004528713470790535]
+Labels: ['Diabetes type 1']
+Scores: [0.1722768247127533]
+Labels: ['Diabetes type 2']
+Scores: [0.17844998836517334]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39672014
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Artificial Intelligence', 'Machine Learning', 'Deep Learning', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0654950812458992]
+Labels: ['Diabetes']
+Scores: [0.9448835253715515]
+Labels: ['Cancer']
+Scores: [0.0004137732903473079]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004900179337710142]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016634425846859813]
+Labels: ['Mental Health']
+Scores: [0.000535088824108243]
+Labels: ['Diabetes type 1']
+Scores: [0.7570869326591492]
+Labels: ['Diabetes type 2']
+Scores: [0.7005875110626221]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39671511
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Male', 'Female', 'Cross-Sectional Studies', 'Hypertension', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Exercise', 'Coronary Artery Disease', 'Prospective Studies', 'Young Adult', 'Cardiometabolic Risk Factors', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11685169488191605]
+Labels: ['Diabetes']
+Scores: [0.032853856682777405]
+Labels: ['Cancer']
+Scores: [0.00019771300139836967]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0023142369464039803]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9379153847694397]
+Labels: ['Mental Health']
+Scores: [0.007122232113033533]
+Labels: ['Diabetes type 1']
+Scores: [0.08434013277292252]
+Labels: ['Diabetes type 2']
+Scores: [0.15231455862522125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39671417
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Female', 'Male', 'COVID-19', 'Adult', 'Diabetes Mellitus', 'Middle Aged', 'Puerto Rico', 'COVID-19 Vaccines', 'Aged', 'Surveys and Questionnaires', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006005028262734413]
+Labels: ['Diabetes']
+Scores: [0.9704554080963135]
+Labels: ['Cancer']
+Scores: [0.0001388892123941332]
+Labels: ['Chronic respiratory disease']
+Scores: [0.32652750611305237]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9930145740509033]
+Labels: ['Mental Health']
+Scores: [0.00012675048492383212]
+Labels: ['Diabetes type 1']
+Scores: [0.24796749651432037]
+Labels: ['Diabetes type 2']
+Scores: [0.5523598194122314]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39670874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Liver Diseases', 'Aged', 'Analgesics, Opioid', 'United States', 'Liver Cirrhosis', 'Chronic Disease', 'Cohort Studies', 'Liver Neoplasms', 'Diabetes Mellitus', 'Logistic Models', 'Arthritis', 'Health Surveys', 'Chronic Pain', 'Hepatitis, Viral, Human', 'Renal Insufficiency, Chronic', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00016204538405872881]
+Labels: ['Diabetes']
+Scores: [0.0002828932774718851]
+Labels: ['Cancer']
+Scores: [0.00014671178360003978]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015261786757037044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013668453902937472]
+Labels: ['Mental Health']
+Scores: [0.0002403882535872981]
+Labels: ['Diabetes type 1']
+Scores: [0.000643714505713433]
+Labels: ['Diabetes type 2']
+Scores: [0.0006123382481746376]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670442
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Animals', 'Lipocalin-2', 'Diabetic Neuropathies', 'Oxidative Stress', 'Molecular Targeted Therapy', 'Quality of Life', 'Cognitive Dysfunction', 'Drug Development', 'Blood-Brain Barrier', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03620839864015579]
+Labels: ['Diabetes']
+Scores: [0.974894642829895]
+Labels: ['Cancer']
+Scores: [0.00020131088967900723]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024262293300125748]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002474757202435285]
+Labels: ['Mental Health']
+Scores: [0.0019477092428132892]
+Labels: ['Diabetes type 1']
+Scores: [0.6705783009529114]
+Labels: ['Diabetes type 2']
+Scores: [0.9206669926643372]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39670363
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Computational Biology', 'Diabetes Mellitus', 'Benchmarking', 'Blood Glucose', 'Wearable Electronic Devices', 'Smartphone', 'Mobile Applications', 'Language', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018100978806614876]
+Labels: ['Diabetes']
+Scores: [0.991738498210907]
+Labels: ['Cancer']
+Scores: [0.00031674321508035064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002714684815146029]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009207432740367949]
+Labels: ['Mental Health']
+Scores: [0.0029037657659500837]
+Labels: ['Diabetes type 1']
+Scores: [0.8356201648712158]
+Labels: ['Diabetes type 2']
+Scores: [0.6997678279876709]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39667764
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Diabetic Foot', 'Osteomyelitis', 'Diabetes Mellitus', 'Anti-Infective Agents, Local']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08864149451255798]
+Labels: ['Diabetes']
+Scores: [0.9847970008850098]
+Labels: ['Cancer']
+Scores: [0.00023003081150818616]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00044571657781489193]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003671110898721963]
+Labels: ['Mental Health']
+Scores: [0.0018194703152403235]
+Labels: ['Diabetes type 1']
+Scores: [0.47339412569999695]
+Labels: ['Diabetes type 2']
+Scores: [0.5953991413116455]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666834
+Predictions: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Aged', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021785899996757507]
+Labels: ['Diabetes']
+Scores: [0.946234405040741]
+Labels: ['Cancer']
+Scores: [0.00019336210971232504]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005795657634735107]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7274602055549622]
+Labels: ['Mental Health']
+Scores: [0.012722501531243324]
+Labels: ['Diabetes type 1']
+Scores: [0.5317245721817017]
+Labels: ['Diabetes type 2']
+Scores: [0.5947427153587341]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666732
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Insulin', 'Aged', 'Diabetes Mellitus', 'Hospitalization', 'Frail Elderly', 'Hypoglycemic Agents', 'Female', 'Male', 'Hospitals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07979487627744675]
+Labels: ['Diabetes']
+Scores: [0.9817954301834106]
+Labels: ['Cancer']
+Scores: [0.00024699815548956394]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017928818124346435]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018098027794621885]
+Labels: ['Mental Health']
+Scores: [0.00025354340323247015]
+Labels: ['Diabetes type 1']
+Scores: [0.7856195569038391]
+Labels: ['Diabetes type 2']
+Scores: [0.5719268918037415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39666445
+Predictions: ['Diabetes']
+MeshTerm: ['Bone Regeneration', 'Humans', 'Drug Delivery Systems', 'Animals', 'Diabetes Mellitus', 'Neovascularization, Physiologic', 'Osteogenesis', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06105579063296318]
+Labels: ['Diabetes']
+Scores: [0.9672818183898926]
+Labels: ['Cancer']
+Scores: [0.0003986634546890855]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00048669351963326335]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008257178706116974]
+Labels: ['Mental Health']
+Scores: [0.0006860546418465674]
+Labels: ['Diabetes type 1']
+Scores: [0.3722434639930725]
+Labels: ['Diabetes type 2']
+Scores: [0.40290674567222595]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.046827033162117004]
+Labels: ['Diabetes']
+Scores: [0.9801878333091736]
+Labels: ['Cancer']
+Scores: [0.0002421344252070412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002459670649841428]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005090614431537688]
+Labels: ['Mental Health']
+Scores: [0.0008913044584915042]
+Labels: ['Diabetes type 1']
+Scores: [0.9792386293411255]
+Labels: ['Diabetes type 2']
+Scores: [0.9869892001152039]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666397
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'COVID-19', 'Invasive Pulmonary Aspergillosis', 'Retrospective Studies', 'Case-Control Studies', 'Aged', 'Severity of Illness Index', 'SARS-CoV-2', 'Smoking', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0015386062441393733]
+Labels: ['Diabetes']
+Scores: [0.8313497304916382]
+Labels: ['Cancer']
+Scores: [0.0003824750892817974]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08183613419532776]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9931351542472839]
+Labels: ['Mental Health']
+Scores: [0.0002720192715059966]
+Labels: ['Diabetes type 1']
+Scores: [0.4270053505897522]
+Labels: ['Diabetes type 2']
+Scores: [0.5047013759613037]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39665943
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vascular Stiffness', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Middle Aged', 'Hypertension', 'Glomerular Filtration Rate', 'Aged', 'Biomarkers', 'Albuminuria', 'Kidney', 'Cross-Sectional Studies', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006365126930177212]
+Labels: ['Diabetes']
+Scores: [0.8259546160697937]
+Labels: ['Cancer']
+Scores: [0.00016064550436567515]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002925829612649977]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9544553160667419]
+Labels: ['Mental Health']
+Scores: [0.00040406431071460247]
+Labels: ['Diabetes type 1']
+Scores: [0.3150702118873596]
+Labels: ['Diabetes type 2']
+Scores: [0.5843735933303833]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39665157
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Protein Glutamine gamma Glutamyltransferase 2', 'Transglutaminases', 'Male', 'Female', 'Aged', 'Vasodilation', 'Endothelium, Vascular', 'GTP-Binding Proteins', 'Arteries', 'Vascular Resistance', 'Sex Factors', 'Diabetes Mellitus', 'Vasodilator Agents', 'Enzyme Inhibitors', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016518374904990196]
+Labels: ['Diabetes']
+Scores: [0.800015926361084]
+Labels: ['Cancer']
+Scores: [0.0009006042964756489]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01363863330334425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9453807473182678]
+Labels: ['Mental Health']
+Scores: [0.0007141583482734859]
+Labels: ['Diabetes type 1']
+Scores: [0.5404818654060364]
+Labels: ['Diabetes type 2']
+Scores: [0.6709953546524048]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2959686815738678]
+Labels: ['Diabetes']
+Scores: [0.017437145113945007]
+Labels: ['Cancer']
+Scores: [0.9934356808662415]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0820324569940567]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0035910294391214848]
+Labels: ['Mental Health']
+Scores: [0.009481405839323997]
+Labels: ['Diabetes type 1']
+Scores: [0.26279279589653015]
+Labels: ['Diabetes type 2']
+Scores: [0.2605375647544861]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018867522478103638]
+Labels: ['Diabetes']
+Scores: [0.05436073616147041]
+Labels: ['Cancer']
+Scores: [0.9909865260124207]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1432470828294754]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004935107193887234]
+Labels: ['Mental Health']
+Scores: [0.008939027786254883]
+Labels: ['Diabetes type 1']
+Scores: [0.34991255402565]
+Labels: ['Diabetes type 2']
+Scores: [0.24505825340747833]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005128160119056702]
+Labels: ['Diabetes']
+Scores: [0.00022860130411572754]
+Labels: ['Cancer']
+Scores: [0.9957738518714905]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11580125242471695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001858089817687869]
+Labels: ['Mental Health']
+Scores: [0.0002256871957797557]
+Labels: ['Diabetes type 1']
+Scores: [0.0004004136717412621]
+Labels: ['Diabetes type 2']
+Scores: [0.00042250315891578794]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00039591340464539826]
+Labels: ['Diabetes']
+Scores: [0.0005123487790115178]
+Labels: ['Cancer']
+Scores: [0.992617666721344]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001419151813024655]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001222992141265422]
+Labels: ['Mental Health']
+Scores: [0.00011489411554066464]
+Labels: ['Diabetes type 1']
+Scores: [0.0006590384291484952]
+Labels: ['Diabetes type 2']
+Scores: [0.0004193468776065856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005196655634790659]
+Labels: ['Diabetes']
+Scores: [0.006070404313504696]
+Labels: ['Cancer']
+Scores: [0.9936268925666809]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013170312158763409]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009627044782973826]
+Labels: ['Mental Health']
+Scores: [0.000561875815037638]
+Labels: ['Diabetes type 1']
+Scores: [0.04878555238246918]
+Labels: ['Diabetes type 2']
+Scores: [0.022108294069767]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040749624371528625]
+Labels: ['Diabetes']
+Scores: [0.007150484248995781]
+Labels: ['Cancer']
+Scores: [0.9819027185440063]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07656029611825943]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007432515267282724]
+Labels: ['Mental Health']
+Scores: [0.0006284030969254673]
+Labels: ['Diabetes type 1']
+Scores: [0.044756293296813965]
+Labels: ['Diabetes type 2']
+Scores: [0.03491051495075226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003251474117860198]
+Labels: ['Diabetes']
+Scores: [0.0650579109787941]
+Labels: ['Cancer']
+Scores: [0.9903021454811096]
+Labels: ['Chronic respiratory disease']
+Scores: [0.077843576669693]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005072358530014753]
+Labels: ['Mental Health']
+Scores: [0.0006302630645222962]
+Labels: ['Diabetes type 1']
+Scores: [0.1664113998413086]
+Labels: ['Diabetes type 2']
+Scores: [0.12362274527549744]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0016393045661970973]
+Labels: ['Diabetes']
+Scores: [0.00015144297503866255]
+Labels: ['Cancer']
+Scores: [0.4303637742996216]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017266614304389805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012415144010446966]
+Labels: ['Mental Health']
+Scores: [0.00014352264406625181]
+Labels: ['Diabetes type 1']
+Scores: [0.0003530899411998689]
+Labels: ['Diabetes type 2']
+Scores: [0.00028059486066922545]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04113691300153732]
+Labels: ['Diabetes']
+Scores: [9.944562771124765e-05]
+Labels: ['Cancer']
+Scores: [0.9920793771743774]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014341009955387563]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017729630053509027]
+Labels: ['Mental Health']
+Scores: [9.237290942110121e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001101234374800697]
+Labels: ['Diabetes type 2']
+Scores: [0.00012011013313895091]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009143211646005511]
+Labels: ['Diabetes']
+Scores: [0.0006916983984410763]
+Labels: ['Cancer']
+Scores: [0.9920297861099243]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000927615852560848]
+Labels: ['Cardiovascular diseases']
+Scores: [9.493334800936282e-05]
+Labels: ['Mental Health']
+Scores: [0.00014696086873300374]
+Labels: ['Diabetes type 1']
+Scores: [0.028333550319075584]
+Labels: ['Diabetes type 2']
+Scores: [0.008434847928583622]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14170385897159576]
+Labels: ['Diabetes']
+Scores: [0.00034544916707091033]
+Labels: ['Cancer']
+Scores: [0.9975638389587402]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23923258483409882]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002680871984921396]
+Labels: ['Mental Health']
+Scores: [0.0004576729843392968]
+Labels: ['Diabetes type 1']
+Scores: [0.0028116030152887106]
+Labels: ['Diabetes type 2']
+Scores: [0.0015931391390040517]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13673418760299683]
+Labels: ['Diabetes']
+Scores: [0.0028359193820506334]
+Labels: ['Cancer']
+Scores: [0.9852151274681091]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00034029086236841977]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005958052352070808]
+Labels: ['Mental Health']
+Scores: [0.000345549633493647]
+Labels: ['Diabetes type 1']
+Scores: [0.024034572765231133]
+Labels: ['Diabetes type 2']
+Scores: [0.013381336815655231]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4991554021835327]
+Labels: ['Diabetes']
+Scores: [0.035354435443878174]
+Labels: ['Cancer']
+Scores: [0.9662692546844482]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05916004627943039]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018481530249118805]
+Labels: ['Mental Health']
+Scores: [0.06990938633680344]
+Labels: ['Diabetes type 1']
+Scores: [0.17003034055233002]
+Labels: ['Diabetes type 2']
+Scores: [0.15374547243118286]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013057275675237179]
+Labels: ['Diabetes']
+Scores: [0.10751055181026459]
+Labels: ['Cancer']
+Scores: [0.7730152606964111]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5319101810455322]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1314445585012436]
+Labels: ['Mental Health']
+Scores: [0.0003116904990747571]
+Labels: ['Diabetes type 1']
+Scores: [0.27565833926200867]
+Labels: ['Diabetes type 2']
+Scores: [0.22296306490898132]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03343154489994049]
+Labels: ['Diabetes']
+Scores: [0.00035168425529263914]
+Labels: ['Cancer']
+Scores: [0.9894176125526428]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0032978756353259087]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001702118170214817]
+Labels: ['Mental Health']
+Scores: [0.00042503009899519384]
+Labels: ['Diabetes type 1']
+Scores: [0.0013379440642893314]
+Labels: ['Diabetes type 2']
+Scores: [0.0009500980377197266]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00225827656686306]
+Labels: ['Diabetes']
+Scores: [0.00012140372564317659]
+Labels: ['Cancer']
+Scores: [0.9844467043876648]
+Labels: ['Chronic respiratory disease']
+Scores: [7.263815496116877e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010142951941816136]
+Labels: ['Mental Health']
+Scores: [0.00010939103231066838]
+Labels: ['Diabetes type 1']
+Scores: [0.00010675076919142157]
+Labels: ['Diabetes type 2']
+Scores: [0.00011262844054726884]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11261557787656784]
+Labels: ['Diabetes']
+Scores: [0.00020649045472964644]
+Labels: ['Cancer']
+Scores: [0.9854872822761536]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027441169368103147]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022242490376811475]
+Labels: ['Mental Health']
+Scores: [0.00020613546075765043]
+Labels: ['Diabetes type 1']
+Scores: [0.0009124720236286521]
+Labels: ['Diabetes type 2']
+Scores: [0.00087127392180264]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0022775414399802685]
+Labels: ['Diabetes']
+Scores: [0.00010375803685747087]
+Labels: ['Cancer']
+Scores: [0.9586356282234192]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016772134404163808]
+Labels: ['Cardiovascular diseases']
+Scores: [9.428321209270507e-05]
+Labels: ['Mental Health']
+Scores: [0.0001496239856351167]
+Labels: ['Diabetes type 1']
+Scores: [0.0001652636710787192]
+Labels: ['Diabetes type 2']
+Scores: [0.00015791537589393556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10683859884738922]
+Labels: ['Diabetes']
+Scores: [0.005583230871707201]
+Labels: ['Cancer']
+Scores: [0.5009918212890625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012442338629625738]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6601688265800476]
+Labels: ['Mental Health']
+Scores: [7.422889757435769e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.05756402760744095]
+Labels: ['Diabetes type 2']
+Scores: [0.04710421711206436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03008907474577427]
+Labels: ['Diabetes']
+Scores: [0.0008924497524276376]
+Labels: ['Cancer']
+Scores: [0.8911752700805664]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006872631493024528]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011888192966580391]
+Labels: ['Mental Health']
+Scores: [0.06696657836437225]
+Labels: ['Diabetes type 1']
+Scores: [0.003628276754170656]
+Labels: ['Diabetes type 2']
+Scores: [0.0016806081403046846]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736556
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Information Seeking Behavior', 'Early Detection of Cancer', 'Qualitative Research', 'Neoplasms', 'Needs Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014044394716620445]
+Labels: ['Diabetes']
+Scores: [0.006257134489715099]
+Labels: ['Cancer']
+Scores: [0.8983187675476074]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027494769892655313]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013894183211959898]
+Labels: ['Mental Health']
+Scores: [0.047498296946287155]
+Labels: ['Diabetes type 1']
+Scores: [0.022933553904294968]
+Labels: ['Diabetes type 2']
+Scores: [0.016043078154325485]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736554
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Middle East', 'Male', 'Africa, Northern', 'Neoplasms', 'Incidence', 'Female', 'Child', 'Adolescent', 'Child, Preschool', 'Infant', 'Health Status Disparities', 'Socioeconomic Factors', 'Young Adult', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2645730972290039]
+Labels: ['Diabetes']
+Scores: [0.00027716418844647706]
+Labels: ['Cancer']
+Scores: [0.9818847179412842]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007006587111391127]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016867088561411947]
+Labels: ['Mental Health']
+Scores: [0.00046833744272589684]
+Labels: ['Diabetes type 1']
+Scores: [0.00603150948882103]
+Labels: ['Diabetes type 2']
+Scores: [0.003561796387657523]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736368
+Predictions: ['Cancer']
+MeshTerm: ['Ferroptosis', 'Photochemotherapy', 'Humans', 'Photosensitizing Agents', 'Reactive Oxygen Species', 'Neoplasms', 'Lipid Peroxidation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.055417533963918686]
+Labels: ['Diabetes']
+Scores: [0.0038298952858895063]
+Labels: ['Cancer']
+Scores: [0.9845085144042969]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022800201550126076]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027032573707401752]
+Labels: ['Mental Health']
+Scores: [0.0011815129546448588]
+Labels: ['Diabetes type 1']
+Scores: [0.035721298307180405]
+Labels: ['Diabetes type 2']
+Scores: [0.020836802199482918]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736217
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Bacteria', 'Surface Properties', 'Animals', 'Biological Products', 'Neoplasms', 'Biological Therapy', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01830125041306019]
+Labels: ['Diabetes']
+Scores: [0.002952599199488759]
+Labels: ['Cancer']
+Scores: [0.9658830761909485]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012860093265771866]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00039324414683505893]
+Labels: ['Mental Health']
+Scores: [0.0009493055986240506]
+Labels: ['Diabetes type 1']
+Scores: [0.019271530210971832]
+Labels: ['Diabetes type 2']
+Scores: [0.01272194366902113]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736186
+Predictions: ['Cancer']
+MeshTerm: ['Spectrum Analysis, Raman', 'Humans', 'N-Acetylneuraminic Acid', 'Biomarkers, Tumor', 'Neoplasms', 'Animals', 'Polysaccharides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003293244633823633]
+Labels: ['Diabetes']
+Scores: [0.009296027943491936]
+Labels: ['Cancer']
+Scores: [0.9908990263938904]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017886584624648094]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0035273709800094366]
+Labels: ['Mental Health']
+Scores: [0.00022844731574878097]
+Labels: ['Diabetes type 1']
+Scores: [0.04859500378370285]
+Labels: ['Diabetes type 2']
+Scores: [0.022370656952261925]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736017
+Predictions: ['Cancer']
+MeshTerm: ['Mesenchymal Stem Cells', 'Neoplasms', 'Gene Expression', 'Humans', 'HeLa Cells', 'MCF-7 Cells', 'A549 Cells', 'Reference Values', 'Genes, Essential', 'Real-Time Polymerase Chain Reaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05559387803077698]
+Labels: ['Diabetes']
+Scores: [0.007557139731943607]
+Labels: ['Cancer']
+Scores: [0.9974679946899414]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008433203911408782]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020956915977876633]
+Labels: ['Mental Health']
+Scores: [0.0001039533963194117]
+Labels: ['Diabetes type 1']
+Scores: [0.013113053515553474]
+Labels: ['Diabetes type 2']
+Scores: [0.0037630735896527767]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735992
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cell Line, Tumor', 'Transcriptome', 'Neoplasms', 'Gene Fusion', 'Sequence Analysis, RNA', 'Gene Expression Profiling', 'Oncogene Proteins, Fusion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0006494169938378036]
+Labels: ['Diabetes']
+Scores: [0.0005818636273033917]
+Labels: ['Cancer']
+Scores: [0.9858903288841248]
+Labels: ['Chronic respiratory disease']
+Scores: [6.270768062677234e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.830837810412049e-05]
+Labels: ['Mental Health']
+Scores: [9.132983541348949e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0008812985033728182]
+Labels: ['Diabetes type 2']
+Scores: [0.000260459550190717]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735988
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Warburg Effect, Oncologic', 'Neoplasms', 'Glycolysis', 'Animals', 'Oxidative Phosphorylation', 'Energy Metabolism', 'Mitochondria', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30076947808265686]
+Labels: ['Diabetes']
+Scores: [0.7741039991378784]
+Labels: ['Cancer']
+Scores: [0.9971337914466858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.79925537109375]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6988434791564941]
+Labels: ['Mental Health']
+Scores: [0.014239740557968616]
+Labels: ['Diabetes type 1']
+Scores: [0.8659791946411133]
+Labels: ['Diabetes type 2']
+Scores: [0.841943621635437]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39735979
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aneuploidy', 'Machine Learning', 'Neoplasms', 'Myristoylated Alanine-Rich C Kinase Substrate', 'Membrane Proteins', 'Gene Expression Regulation, Neoplastic', 'Cell Proliferation', 'Cytoskeletal Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006056875456124544]
+Labels: ['Diabetes']
+Scores: [8.776694448897615e-05]
+Labels: ['Cancer']
+Scores: [0.9767413139343262]
+Labels: ['Chronic respiratory disease']
+Scores: [6.019257853040472e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010041904170066118]
+Labels: ['Mental Health']
+Scores: [6.973050767555833e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.950091432780027e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.585422619944438e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735978
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunity, Innate', 'Tumor-Associated Macrophages', 'Neoplasms', 'Tumor Microenvironment', 'Phenotype', 'Animals', 'Epigenesis, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.059336524456739426]
+Labels: ['Diabetes']
+Scores: [0.09044943004846573]
+Labels: ['Cancer']
+Scores: [0.9496259689331055]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13341566920280457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0037112166173756123]
+Labels: ['Mental Health']
+Scores: [0.0002473540371283889]
+Labels: ['Diabetes type 1']
+Scores: [0.11295784264802933]
+Labels: ['Diabetes type 2']
+Scores: [0.07951027154922485]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Disease Progression', 'Heterogeneous-Nuclear Ribonucleoprotein Group C', 'Neoplasms', 'Tumor Microenvironment', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Liver Neoplasms', 'Cell Line, Tumor', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02235325053334236]
+Labels: ['Diabetes']
+Scores: [0.00012747647997457534]
+Labels: ['Cancer']
+Scores: [0.9964622259140015]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002023080742219463]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001396130828652531]
+Labels: ['Mental Health']
+Scores: [0.0001292239030590281]
+Labels: ['Diabetes type 1']
+Scores: [0.00018183418433181942]
+Labels: ['Diabetes type 2']
+Scores: [0.00015368314052466303]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735681
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Nanoparticles', 'Drug Delivery Systems', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005788367707282305]
+Labels: ['Diabetes']
+Scores: [0.00035205206950195134]
+Labels: ['Cancer']
+Scores: [0.8866176009178162]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00163210928440094]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002257542946608737]
+Labels: ['Mental Health']
+Scores: [0.00029421038925647736]
+Labels: ['Diabetes type 1']
+Scores: [0.0034435295965522528]
+Labels: ['Diabetes type 2']
+Scores: [0.002321226755157113]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735536
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'CD28 Antigens', 'Mice', 'Cell Adhesion Molecules', 'Neoplasms', 'Lymphocyte Activation', 'Cell Line, Tumor', 'Immunotherapy, Adoptive', 'T-Lymphocytes', 'Receptors, Antigen, T-Cell', 'Xenograft Model Antitumor Assays', 'Female', 'Nectins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010783113539218903]
+Labels: ['Diabetes']
+Scores: [0.00019052738207392395]
+Labels: ['Cancer']
+Scores: [0.9904376864433289]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010396834841230884]
+Labels: ['Cardiovascular diseases']
+Scores: [8.556758257327601e-05]
+Labels: ['Mental Health']
+Scores: [0.00014256556460168213]
+Labels: ['Diabetes type 1']
+Scores: [0.0002767765836324543]
+Labels: ['Diabetes type 2']
+Scores: [0.00017949742323253304]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735534
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Immunotherapy', 'Neoplasms', 'Combined Modality Therapy', 'Humans', 'Ultrasonic Therapy', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003262187587097287]
+Labels: ['Diabetes']
+Scores: [0.00011462068505352363]
+Labels: ['Cancer']
+Scores: [0.8012892603874207]
+Labels: ['Chronic respiratory disease']
+Scores: [7.959284994285554e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012092466931790113]
+Labels: ['Mental Health']
+Scores: [0.00016689022595528513]
+Labels: ['Diabetes type 1']
+Scores: [0.00011856378841912374]
+Labels: ['Diabetes type 2']
+Scores: [0.00010117005149368197]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11363251507282257]
+Labels: ['Diabetes']
+Scores: [0.000978713622316718]
+Labels: ['Cancer']
+Scores: [0.9954615831375122]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015748605073895305]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001566084974911064]
+Labels: ['Mental Health']
+Scores: [0.00012535361747723073]
+Labels: ['Diabetes type 1']
+Scores: [0.00686241639778018]
+Labels: ['Diabetes type 2']
+Scores: [0.0028578131459653378]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734197
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', '5-Methylcytosine', 'DNA Methylation', 'DNA Transposable Elements', 'Epigenesis, Genetic', 'Nanopore Sequencing', 'Nanopores', 'Neoplasms', 'Sequence Analysis, DNA']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09320055693387985]
+Labels: ['Diabetes']
+Scores: [0.4698532521724701]
+Labels: ['Cancer']
+Scores: [0.995072603225708]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2914676070213318]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03878805786371231]
+Labels: ['Mental Health']
+Scores: [0.07981814444065094]
+Labels: ['Diabetes type 1']
+Scores: [0.7838630080223083]
+Labels: ['Diabetes type 2']
+Scores: [0.7215328812599182]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733511
+Predictions: ['Cancer']
+MeshTerm: ['Protein-Arginine N-Methyltransferases', 'Humans', 'Enzyme Inhibitors', 'Neoplasms', 'Antineoplastic Agents', 'Molecular Structure', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01400428730994463]
+Labels: ['Diabetes']
+Scores: [0.006707889959216118]
+Labels: ['Cancer']
+Scores: [0.9914032816886902]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02596294693648815]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001693698693998158]
+Labels: ['Mental Health']
+Scores: [0.0001923990494105965]
+Labels: ['Diabetes type 1']
+Scores: [0.036855995655059814]
+Labels: ['Diabetes type 2']
+Scores: [0.018781403079628944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733440
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Occupational Exposure', 'Occupational Diseases', 'Carcinogens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11060003936290741]
+Labels: ['Diabetes']
+Scores: [0.006931784097105265]
+Labels: ['Cancer']
+Scores: [0.8893266320228577]
+Labels: ['Chronic respiratory disease']
+Scores: [0.032256465405225754]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011121832067146897]
+Labels: ['Mental Health']
+Scores: [0.0024947011843323708]
+Labels: ['Diabetes type 1']
+Scores: [0.17774273455142975]
+Labels: ['Diabetes type 2']
+Scores: [0.12429187446832657]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733439
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Antigen Presentation', 'Immunotherapy', 'Neoplasms', 'Antigens, Neoplasm', 'Immune Checkpoint Inhibitors', 'HLA Antigens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3004123270511627]
+Labels: ['Diabetes']
+Scores: [0.0035053028259426355]
+Labels: ['Cancer']
+Scores: [0.9945145845413208]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18904516100883484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0031333747319877148]
+Labels: ['Mental Health']
+Scores: [0.0005768916453234851]
+Labels: ['Diabetes type 1']
+Scores: [0.02733008936047554]
+Labels: ['Diabetes type 2']
+Scores: [0.014750408008694649]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733429
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Registries', 'Female', 'Male', 'Tunisia', 'Neoplasms', 'Incidence', 'Middle Aged', 'Adult', 'Aged', 'Adolescent', 'Young Adult', 'Infant, Newborn', 'Infant', 'Child', 'Child, Preschool', 'Follow-Up Studies', 'Prognosis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03118952177464962]
+Labels: ['Diabetes']
+Scores: [0.0001432376157026738]
+Labels: ['Cancer']
+Scores: [0.9661279320716858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011699318565661088]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013360816228669137]
+Labels: ['Mental Health']
+Scores: [0.00011521259875735268]
+Labels: ['Diabetes type 1']
+Scores: [0.00022111641010269523]
+Labels: ['Diabetes type 2']
+Scores: [0.00026136747328564525]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733076
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Mitochondria', 'Gene Expression Regulation, Neoplastic', 'Biomarkers, Tumor', 'Prognosis', 'Genomics', 'Cell Proliferation', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5380617380142212]
+Labels: ['Diabetes']
+Scores: [0.09914124011993408]
+Labels: ['Cancer']
+Scores: [0.9980272650718689]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5569698214530945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13123710453510284]
+Labels: ['Mental Health']
+Scores: [0.023080583661794662]
+Labels: ['Diabetes type 1']
+Scores: [0.4223853647708893]
+Labels: ['Diabetes type 2']
+Scores: [0.2820746898651123]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732961
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Transcription Factors', 'Proto-Oncogene Proteins c-ets', 'Prognosis', 'Neoplasms', 'Gene Expression Regulation, Neoplastic', 'Tumor Microenvironment', 'Adenovirus E1A Proteins', 'DNA-Binding Proteins', 'Kaplan-Meier Estimate', 'Gene Expression Profiling']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05758491903543472]
+Labels: ['Diabetes']
+Scores: [0.00679789250716567]
+Labels: ['Cancer']
+Scores: [0.9886452555656433]
+Labels: ['Chronic respiratory disease']
+Scores: [0.033206988126039505]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005438425578176975]
+Labels: ['Mental Health']
+Scores: [0.004115368239581585]
+Labels: ['Diabetes type 1']
+Scores: [0.03141282498836517]
+Labels: ['Diabetes type 2']
+Scores: [0.02701636403799057]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732661
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Fever of Unknown Origin', 'Prospective Studies', 'Female', 'Male', 'China', 'Middle Aged', 'Adult', 'Aged', 'Neoplasms', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0037591923028230667]
+Labels: ['Diabetes']
+Scores: [0.0002023012493737042]
+Labels: ['Cancer']
+Scores: [0.00044307683128863573]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002735848829615861]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018475597607903183]
+Labels: ['Mental Health']
+Scores: [0.00011525014269864187]
+Labels: ['Diabetes type 1']
+Scores: [0.0003127908566966653]
+Labels: ['Diabetes type 2']
+Scores: [0.0002127489569829777]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732529
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Animals', 'Signal Transduction', 'Cytokines', 'Immunotherapy', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008368012495338917]
+Labels: ['Diabetes']
+Scores: [0.04392549395561218]
+Labels: ['Cancer']
+Scores: [0.9318846464157104]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08141850680112839]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007669700309634209]
+Labels: ['Mental Health']
+Scores: [0.00027428148314356804]
+Labels: ['Diabetes type 1']
+Scores: [0.10409026592969894]
+Labels: ['Diabetes type 2']
+Scores: [0.0703110545873642]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732497
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Fear', 'Schizophrenia', 'Psychotic Disorders', 'Neoplasms', 'Psychosocial Intervention', 'Neoplasm Recurrence, Local', 'Research Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09648922085762024]
+Labels: ['Diabetes']
+Scores: [0.0016606025164946914]
+Labels: ['Cancer']
+Scores: [0.9861916303634644]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001410046243108809]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002133661910193041]
+Labels: ['Mental Health']
+Scores: [0.941043496131897]
+Labels: ['Diabetes type 1']
+Scores: [0.0002446580911055207]
+Labels: ['Diabetes type 2']
+Scores: [0.00031950438278727233]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732363
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'T-Lymphocytes', 'Cell Movement', 'Immunotherapy, Adoptive', 'Tumor Microenvironment', 'Receptors, Chimeric Antigen', 'Neoplasms', 'Microfluidics', 'Lab-On-A-Chip Devices', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3361050486564636]
+Labels: ['Diabetes']
+Scores: [0.08831626921892166]
+Labels: ['Cancer']
+Scores: [0.9591875672340393]
+Labels: ['Chronic respiratory disease']
+Scores: [0.20783060789108276]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02518342062830925]
+Labels: ['Mental Health']
+Scores: [0.00030905648600310087]
+Labels: ['Diabetes type 1']
+Scores: [0.24119387567043304]
+Labels: ['Diabetes type 2']
+Scores: [0.14466336369514465]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02964194118976593]
+Labels: ['Diabetes']
+Scores: [0.04357379674911499]
+Labels: ['Cancer']
+Scores: [0.7396189570426941]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15910765528678894]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6245291829109192]
+Labels: ['Mental Health']
+Scores: [0.037352219223976135]
+Labels: ['Diabetes type 1']
+Scores: [0.1630648523569107]
+Labels: ['Diabetes type 2']
+Scores: [0.14339785277843475]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mitochondria', 'Neoplasms', 'Cytoskeleton', 'Animals', 'Autophagy', 'Apoptosis', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005600082222372293]
+Labels: ['Diabetes']
+Scores: [0.0013182739494368434]
+Labels: ['Cancer']
+Scores: [0.9785324335098267]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001938708359375596]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014157062105368823]
+Labels: ['Mental Health']
+Scores: [0.00010385012137703598]
+Labels: ['Diabetes type 1']
+Scores: [0.0073651764541864395]
+Labels: ['Diabetes type 2']
+Scores: [0.0033192543778568506]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732132
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Animals', 'Complement Activation', 'Tumor Microenvironment', 'Complement C4', 'Biomarkers, Tumor', 'Immunotherapy', 'Complement C4b', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0727926716208458]
+Labels: ['Diabetes']
+Scores: [0.0006280093803070486]
+Labels: ['Cancer']
+Scores: [0.9873809814453125]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0036024274304509163]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019236208754591644]
+Labels: ['Mental Health']
+Scores: [0.0002345554094063118]
+Labels: ['Diabetes type 1']
+Scores: [0.005430500954389572]
+Labels: ['Diabetes type 2']
+Scores: [0.0033459726255387068]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731918
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Immunotherapy', 'Tumor Microenvironment', 'CD8-Positive T-Lymphocytes', 'Leukocytes, Mononuclear', 'Male', 'Female', 'Receptors, Antigen, T-Cell', 'Neoplasms', 'Middle Aged', 'Transcriptome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042392369359731674]
+Labels: ['Diabetes']
+Scores: [0.000570565985981375]
+Labels: ['Cancer']
+Scores: [0.5229142308235168]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006497579626739025]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020537953241728246]
+Labels: ['Mental Health']
+Scores: [0.00017957141972146928]
+Labels: ['Diabetes type 1']
+Scores: [0.0027766074053943157]
+Labels: ['Diabetes type 2']
+Scores: [0.0024398379027843475]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731836
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'MicroRNAs', 'Hydrogels', 'HeLa Cells', 'DNA', 'Doxorubicin', 'PTEN Phosphohydrolase', 'Cell Survival', 'Neoplasms', 'Apoptosis Regulatory Proteins', 'RNA-Binding Proteins', 'Antineoplastic Agents', 'Gene Expression Regulation, Neoplastic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.32200226187705994]
+Labels: ['Diabetes']
+Scores: [0.0016806909115985036]
+Labels: ['Cancer']
+Scores: [0.997485876083374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005307569168508053]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015517077408730984]
+Labels: ['Mental Health']
+Scores: [0.0008078640676103532]
+Labels: ['Diabetes type 1']
+Scores: [0.021975630894303322]
+Labels: ['Diabetes type 2']
+Scores: [0.011944852769374847]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731788
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Antineoplastic Agents', 'Peptides', 'Animals', 'Drug Development', 'Molecular Structure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00970146618783474]
+Labels: ['Diabetes']
+Scores: [0.0004982600221410394]
+Labels: ['Cancer']
+Scores: [0.8971839547157288]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008984889718703926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019911253184545785]
+Labels: ['Mental Health']
+Scores: [0.00024471175856888294]
+Labels: ['Diabetes type 1']
+Scores: [0.011177588254213333]
+Labels: ['Diabetes type 2']
+Scores: [0.006084577180445194]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731736
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Neoplasms', 'Genomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15008759498596191]
+Labels: ['Diabetes']
+Scores: [0.06917928159236908]
+Labels: ['Cancer']
+Scores: [0.07891421765089035]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2533085346221924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11747802793979645]
+Labels: ['Mental Health']
+Scores: [0.0001298032730119303]
+Labels: ['Diabetes type 1']
+Scores: [0.21964235603809357]
+Labels: ['Diabetes type 2']
+Scores: [0.21653680503368378]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731651
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Quality of Life', 'Female', 'Male', 'Hydrocortisone', 'Qigong', 'Middle Aged', 'Neoplasms', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011105548590421677]
+Labels: ['Diabetes']
+Scores: [0.00017364024824928492]
+Labels: ['Cancer']
+Scores: [0.9954168796539307]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000276777456747368]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014662857574876398]
+Labels: ['Mental Health']
+Scores: [0.0011264607310295105]
+Labels: ['Diabetes type 1']
+Scores: [0.0001682508591329679]
+Labels: ['Diabetes type 2']
+Scores: [0.00019523812807165086]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731471
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Endoplasmic Reticulum Chaperone BiP', 'Single-Domain Antibodies', 'Recombinant Fusion Proteins', 'Immunotoxins', 'Apoptosis', 'Exotoxins', 'Animals', 'Heat-Shock Proteins', 'Cell Line, Tumor', 'Camelus', 'Breast Neoplasms', 'Female', 'ADP Ribose Transferases', 'Bacterial Toxins', 'HEK293 Cells', 'Pseudomonas aeruginosa Exotoxin A', 'Neoplasms', 'MCF-7 Cells', 'Virulence Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001101276371628046]
+Labels: ['Diabetes']
+Scores: [0.00011890317546203732]
+Labels: ['Cancer']
+Scores: [0.9896183013916016]
+Labels: ['Chronic respiratory disease']
+Scores: [7.169068703660741e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.020318248076364e-05]
+Labels: ['Mental Health']
+Scores: [0.0001031276406138204]
+Labels: ['Diabetes type 1']
+Scores: [0.00010351323726354167]
+Labels: ['Diabetes type 2']
+Scores: [0.00010295180982211605]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Organoids', 'Neoplasms', 'Tumor Microenvironment', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09483698010444641]
+Labels: ['Diabetes']
+Scores: [0.006109735928475857]
+Labels: ['Cancer']
+Scores: [0.9953096508979797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04839465767145157]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011698359157890081]
+Labels: ['Mental Health']
+Scores: [0.0012292019091546535]
+Labels: ['Diabetes type 1']
+Scores: [0.12847097218036652]
+Labels: ['Diabetes type 2']
+Scores: [0.0745837390422821]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731135
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Mutation', 'Tumor Microenvironment', 'Histone Demethylases', 'Biomarkers, Tumor', 'Prognosis', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05919082090258598]
+Labels: ['Diabetes']
+Scores: [0.0006945148343220353]
+Labels: ['Cancer']
+Scores: [0.9968204498291016]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026641476433724165]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00031918284366838634]
+Labels: ['Mental Health']
+Scores: [0.0014238019939512014]
+Labels: ['Diabetes type 1']
+Scores: [0.006232549902051687]
+Labels: ['Diabetes type 2']
+Scores: [0.004263130482286215]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731127
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'RNA Editing', 'Neoplasms', 'Inosine', 'Adenosine', 'Animals', 'Gene Expression Regulation, Neoplastic', 'Adenosine Deaminase', 'Biomarkers, Tumor', 'MicroRNAs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010753144742920995]
+Labels: ['Diabetes']
+Scores: [0.0015608329558745027]
+Labels: ['Cancer']
+Scores: [0.9862365126609802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0028280625119805336]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002860835229512304]
+Labels: ['Mental Health']
+Scores: [0.0003842046426143497]
+Labels: ['Diabetes type 1']
+Scores: [0.010068962350487709]
+Labels: ['Diabetes type 2']
+Scores: [0.005675831809639931]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731088
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Palliative Care', 'Aged', 'Middle Aged', 'Neoplasms', 'Terminal Care', 'Aged, 80 and over', 'Finland', 'Hospital Costs', 'Ambulatory Care Facilities', 'Registries', 'Adult', 'Ambulatory Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07191493362188339]
+Labels: ['Diabetes']
+Scores: [0.0002292715507792309]
+Labels: ['Cancer']
+Scores: [0.9990025758743286]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006111424299888313]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021987927902955562]
+Labels: ['Mental Health']
+Scores: [0.00042388614383526146]
+Labels: ['Diabetes type 1']
+Scores: [0.0003497984725981951]
+Labels: ['Diabetes type 2']
+Scores: [0.0003863526799250394]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007149915676563978]
+Labels: ['Diabetes']
+Scores: [0.5262488722801208]
+Labels: ['Cancer']
+Scores: [0.4006613492965698]
+Labels: ['Chronic respiratory disease']
+Scores: [0.034447889775037766]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9754387736320496]
+Labels: ['Mental Health']
+Scores: [0.0001517498167231679]
+Labels: ['Diabetes type 1']
+Scores: [0.4280615448951721]
+Labels: ['Diabetes type 2']
+Scores: [0.4462997317314148]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731019
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Algorithms', 'Deep Learning', 'Gene Expression Profiling', 'Computational Biology', 'Databases, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007531789597123861]
+Labels: ['Diabetes']
+Scores: [0.0002115649258485064]
+Labels: ['Cancer']
+Scores: [0.9445354342460632]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013167205906938761]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018147660011891276]
+Labels: ['Mental Health']
+Scores: [0.00010746429325081408]
+Labels: ['Diabetes type 1']
+Scores: [0.0002860814274754375]
+Labels: ['Diabetes type 2']
+Scores: [0.0002304403460584581]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730977
+Predictions: ['Cancer']
+MeshTerm: ['Copper', 'Humans', 'Metal Nanoparticles', 'Green Chemistry Technology', 'Neoplasms', 'Antineoplastic Agents', 'Drug Resistance, Neoplasm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022903185337781906]
+Labels: ['Diabetes']
+Scores: [0.0010458834003657103]
+Labels: ['Cancer']
+Scores: [0.953457772731781]
+Labels: ['Chronic respiratory disease']
+Scores: [0.036634016782045364]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001052746782079339]
+Labels: ['Mental Health']
+Scores: [0.00021259587083477527]
+Labels: ['Diabetes type 1']
+Scores: [0.06027361750602722]
+Labels: ['Diabetes type 2']
+Scores: [0.032068874686956406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730928
+Predictions: ['Cancer']
+MeshTerm: ['Doxorubicin', 'Animals', 'Mice', 'Humans', 'Cell Line, Tumor', 'Immunotherapy', 'Neoplasms', 'Drug Delivery Systems', 'Nanoparticles', 'Tumor Microenvironment', 'Biomimetics', 'Imiquimod', 'Serotonin', 'Antineoplastic Agents', 'Combined Modality Therapy', 'Mice, Inbred BALB C']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13742277026176453]
+Labels: ['Diabetes']
+Scores: [0.04026952013373375]
+Labels: ['Cancer']
+Scores: [0.9946831464767456]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09821018576622009]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03395663946866989]
+Labels: ['Mental Health']
+Scores: [0.035866182297468185]
+Labels: ['Diabetes type 1']
+Scores: [0.14636468887329102]
+Labels: ['Diabetes type 2']
+Scores: [0.08996113389730453]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730772
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Female', 'Male', 'Adult', 'Middle Aged', 'Return to Work', 'Social Stigma', 'Social Support', 'Adolescent', 'Young Adult', 'Adaptation, Psychological', 'Health Literacy', 'Neoplasms', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6081602573394775]
+Labels: ['Diabetes']
+Scores: [0.11248496174812317]
+Labels: ['Cancer']
+Scores: [0.9914117455482483]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16713066399097443]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03615599125623703]
+Labels: ['Mental Health']
+Scores: [0.37752366065979004]
+Labels: ['Diabetes type 1']
+Scores: [0.4603829085826874]
+Labels: ['Diabetes type 2']
+Scores: [0.43805891275405884]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730706
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Denmark', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Cohort Studies', 'Environmental Pollution', 'Young Adult', 'Child, Preschool', 'Infant, Newborn', 'Environmental Exposure', 'Adolescent', 'Child', 'Infant', 'Aged, 80 and over', 'Neoplasms', 'Cause of Death']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.509312629699707]
+Labels: ['Diabetes']
+Scores: [0.028115050867199898]
+Labels: ['Cancer']
+Scores: [0.9558707475662231]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0203782357275486]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9930236339569092]
+Labels: ['Mental Health']
+Scores: [0.8734220266342163]
+Labels: ['Diabetes type 1']
+Scores: [0.21711339056491852]
+Labels: ['Diabetes type 2']
+Scores: [0.1566784381866455]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730699
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Machine Learning', 'Antineoplastic Agents', 'Precision Medicine', 'Neoplasms', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24362266063690186]
+Labels: ['Diabetes']
+Scores: [0.08145426958799362]
+Labels: ['Cancer']
+Scores: [0.8781505823135376]
+Labels: ['Chronic respiratory disease']
+Scores: [0.034800078719854355]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0032554075587540865]
+Labels: ['Mental Health']
+Scores: [0.0014967003371566534]
+Labels: ['Diabetes type 1']
+Scores: [0.10122377425432205]
+Labels: ['Diabetes type 2']
+Scores: [0.0741211473941803]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730637
+Predictions: ['Cancer']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'China', 'Drug-Related Side Effects and Adverse Reactions', 'East Asian People', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9442987442016602]
+Labels: ['Diabetes']
+Scores: [0.8302274942398071]
+Labels: ['Cancer']
+Scores: [0.9862901568412781]
+Labels: ['Chronic respiratory disease']
+Scores: [0.754991888999939]
+Labels: ['Cardiovascular diseases']
+Scores: [0.36169424653053284]
+Labels: ['Mental Health']
+Scores: [0.7274653911590576]
+Labels: ['Diabetes type 1']
+Scores: [0.9214118123054504]
+Labels: ['Diabetes type 2']
+Scores: [0.8982122540473938]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 6], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39730328
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Mice', 'Immunotherapy', 'Humans', 'Immune Checkpoint Inhibitors', 'Female', 'Fimbriae Proteins', 'Programmed Cell Death 1 Receptor', 'Neoplasms', 'Mice, Inbred C57BL', 'Bacteria', 'Cell Line, Tumor', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011929412372410297]
+Labels: ['Diabetes']
+Scores: [0.00031476194271817803]
+Labels: ['Cancer']
+Scores: [0.9885217547416687]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007810378447175026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003889613726641983]
+Labels: ['Mental Health']
+Scores: [0.00018629879923537374]
+Labels: ['Diabetes type 1']
+Scores: [0.001112261787056923]
+Labels: ['Diabetes type 2']
+Scores: [0.0006659206701442599]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730320
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Social Support', 'Neoplasms', 'Qualitative Research', 'Social Adjustment', 'Social Interaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0032721897587180138]
+Labels: ['Diabetes']
+Scores: [0.00022160816297400743]
+Labels: ['Cancer']
+Scores: [0.9905540347099304]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013539289648178965]
+Labels: ['Cardiovascular diseases']
+Scores: [7.974099571583793e-05]
+Labels: ['Mental Health']
+Scores: [0.43762317299842834]
+Labels: ['Diabetes type 1']
+Scores: [0.0006115952855907381]
+Labels: ['Diabetes type 2']
+Scores: [0.0005828175344504416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006034316029399633]
+Labels: ['Diabetes']
+Scores: [0.00011935935617657378]
+Labels: ['Cancer']
+Scores: [0.9796572923660278]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011433564213803038]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000110544242488686]
+Labels: ['Mental Health']
+Scores: [0.0004660110280383378]
+Labels: ['Diabetes type 1']
+Scores: [0.00015581354091409594]
+Labels: ['Diabetes type 2']
+Scores: [0.00015349528985098004]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003987666859757155]
+Labels: ['Diabetes']
+Scores: [0.016446102410554886]
+Labels: ['Cancer']
+Scores: [0.912311315536499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.511831521987915]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005258438177406788]
+Labels: ['Mental Health']
+Scores: [0.00016115812468342483]
+Labels: ['Diabetes type 1']
+Scores: [0.08606204390525818]
+Labels: ['Diabetes type 2']
+Scores: [0.06039801985025406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729909
+Predictions: ['Cancer']
+MeshTerm: ['Reactive Oxygen Species', 'Humans', 'Neoplasms', 'Magnetic Fields', 'Animals', 'Mitochondria', 'Electromagnetic Fields']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00855522882193327]
+Labels: ['Diabetes']
+Scores: [0.0062191360630095005]
+Labels: ['Cancer']
+Scores: [0.9796981811523438]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021510416641831398]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003338432579766959]
+Labels: ['Mental Health']
+Scores: [0.00030377155053429306]
+Labels: ['Diabetes type 1']
+Scores: [0.0627986341714859]
+Labels: ['Diabetes type 2']
+Scores: [0.04565470665693283]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729775
+Predictions: ['Cancer']
+MeshTerm: ['Granulocyte-Macrophage Colony-Stimulating Factor', 'Animals', 'RNA, Small Interfering', 'Immunotherapy', 'Mice', 'Macrophages', 'Cellular Reprogramming', 'Mice, Inbred C57BL', 'Neoplasms', 'Tumor Microenvironment', 'Cell Line, Tumor', 'Humans', 'Tumor-Associated Macrophages', 'Female', 'RAW 264.7 Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005876594688743353]
+Labels: ['Diabetes']
+Scores: [0.004606764763593674]
+Labels: ['Cancer']
+Scores: [0.9965276718139648]
+Labels: ['Chronic respiratory disease']
+Scores: [0.036287613213062286]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015454061795026064]
+Labels: ['Mental Health']
+Scores: [0.0006512911641038954]
+Labels: ['Diabetes type 1']
+Scores: [0.10324296355247498]
+Labels: ['Diabetes type 2']
+Scores: [0.037639208137989044]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729479
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Single-Cell Analysis', 'Lymphocytes, Tumor-Infiltrating', 'Neoplasms', 'RNA-Seq', 'T-Lymphocytes, Regulatory', 'Transcriptome', 'Gene Expression Profiling', 'Protein Interaction Maps', 'Sequence Analysis, RNA', 'Gene Regulatory Networks', 'Gene Expression Regulation, Neoplastic', 'Single-Cell Gene Expression Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05441924184560776]
+Labels: ['Diabetes']
+Scores: [0.11834315955638885]
+Labels: ['Cancer']
+Scores: [0.9954457879066467]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007348989136517048]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0034198134671896696]
+Labels: ['Mental Health']
+Scores: [0.00022948266996536404]
+Labels: ['Diabetes type 1']
+Scores: [0.36449378728866577]
+Labels: ['Diabetes type 2']
+Scores: [0.35246869921684265]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729462
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Maytansine', 'Immunoconjugates', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'Folate Receptor 1', 'Progression-Free Survival']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05231373384594917]
+Labels: ['Diabetes']
+Scores: [0.0003316685033496469]
+Labels: ['Cancer']
+Scores: [0.9921541213989258]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026131123304367065]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010762506281025708]
+Labels: ['Mental Health']
+Scores: [0.0002982074220199138]
+Labels: ['Diabetes type 1']
+Scores: [0.0030965597834438086]
+Labels: ['Diabetes type 2']
+Scores: [0.001270107226446271]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729341
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Animals', 'Mice', 'Neoplasms', 'Drug Carriers', 'Cell Line, Tumor', 'Macromolecular Substances', 'Protein Binding', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21658365428447723]
+Labels: ['Diabetes']
+Scores: [0.08739076554775238]
+Labels: ['Cancer']
+Scores: [0.9860551357269287]
+Labels: ['Chronic respiratory disease']
+Scores: [0.034026604145765305]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008912230841815472]
+Labels: ['Mental Health']
+Scores: [0.00178747926838696]
+Labels: ['Diabetes type 1']
+Scores: [0.16483090817928314]
+Labels: ['Diabetes type 2']
+Scores: [0.12618744373321533]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729330
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Child', 'Neoplasms', 'Gait Disorders, Neurologic', 'Antineoplastic Agents', 'Gait', 'Range of Motion, Articular', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002915743738412857]
+Labels: ['Diabetes']
+Scores: [0.0001320605369983241]
+Labels: ['Cancer']
+Scores: [0.9676782488822937]
+Labels: ['Chronic respiratory disease']
+Scores: [9.365013102069497e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010198017844231799]
+Labels: ['Mental Health']
+Scores: [0.00014600118447560817]
+Labels: ['Diabetes type 1']
+Scores: [0.00016376524581573904]
+Labels: ['Diabetes type 2']
+Scores: [0.00015897335833869874]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729314
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Radiation Oncology', 'Radiologists', 'Peer Review', 'Peer Review, Health Care', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008239399758167565]
+Labels: ['Diabetes']
+Scores: [0.00015457422705367208]
+Labels: ['Cancer']
+Scores: [0.8368484377861023]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000445651967311278]
+Labels: ['Cardiovascular diseases']
+Scores: [8.583768067182973e-05]
+Labels: ['Mental Health']
+Scores: [0.00018830275803338736]
+Labels: ['Diabetes type 1']
+Scores: [0.0029583859723061323]
+Labels: ['Diabetes type 2']
+Scores: [0.0009955274872481823]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727835
+Predictions: ['Cancer']
+MeshTerm: ['Biosensing Techniques', 'Humans', 'Drug Discovery', 'Neoplasms', 'Antineoplastic Agents', 'Fluorescence', 'Fluorescence Resonance Energy Transfer', 'Signal Transduction', 'Luminescent Measurements', 'Pentacyclic Triterpenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005361227784305811]
+Labels: ['Diabetes']
+Scores: [0.003378292778506875]
+Labels: ['Cancer']
+Scores: [0.9725186228752136]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027807138860225677]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00035344623029232025]
+Labels: ['Mental Health']
+Scores: [0.0003112777485512197]
+Labels: ['Diabetes type 1']
+Scores: [0.05314596742391586]
+Labels: ['Diabetes type 2']
+Scores: [0.03663937374949455]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727719
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neutropenia', 'Antineoplastic Agents', 'Anemia', 'Thrombocytopenia', 'Neoplasms', 'Intercellular Signaling Peptides and Proteins', 'Granulocyte Colony-Stimulating Factor', 'Receptors, Thrombopoietin', 'Cytopenia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007462827488780022]
+Labels: ['Diabetes']
+Scores: [0.00020040839444845915]
+Labels: ['Cancer']
+Scores: [0.9165794849395752]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001854069414548576]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002640451421029866]
+Labels: ['Mental Health']
+Scores: [0.0001875248271971941]
+Labels: ['Diabetes type 1']
+Scores: [0.0002938203397206962]
+Labels: ['Diabetes type 2']
+Scores: [0.00033560494193807244]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727703
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Early Detection of Cancer', 'Female', 'Male', 'Aged', 'Middle Aged', 'Neoplasms', 'Oncology Nursing', 'Health Services Accessibility', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027789125218987465]
+Labels: ['Diabetes']
+Scores: [0.0004239968257024884]
+Labels: ['Cancer']
+Scores: [0.9190949201583862]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0028370553627610207]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017983819998335093]
+Labels: ['Mental Health']
+Scores: [0.4840986430644989]
+Labels: ['Diabetes type 1']
+Scores: [0.008780263364315033]
+Labels: ['Diabetes type 2']
+Scores: [0.006086970213800669]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727701
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Frailty', 'Neoplasms', 'Retrospective Studies', 'Aged, 80 and over', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002033822238445282]
+Labels: ['Diabetes']
+Scores: [0.000636173237580806]
+Labels: ['Cancer']
+Scores: [0.9956231713294983]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020986953750252724]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008061867207288742]
+Labels: ['Mental Health']
+Scores: [0.00035245518665760756]
+Labels: ['Diabetes type 1']
+Scores: [0.008991842158138752]
+Labels: ['Diabetes type 2']
+Scores: [0.003830717410892248]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727700
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Neoplasms', 'Patient Reported Outcome Measures', 'Psychometrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010032020509243011]
+Labels: ['Diabetes']
+Scores: [0.00017109197506215423]
+Labels: ['Cancer']
+Scores: [0.9471021890640259]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000181269584572874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001067265184246935]
+Labels: ['Mental Health']
+Scores: [0.0006550016114488244]
+Labels: ['Diabetes type 1']
+Scores: [0.0005857587093487382]
+Labels: ['Diabetes type 2']
+Scores: [0.0005324322846718132]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727690
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Empathy', 'Neoplasms', 'Nurse-Patient Relations', 'Oncology Nursing', 'Qualitative Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00021566067880485207]
+Labels: ['Diabetes']
+Scores: [6.783055869163945e-05]
+Labels: ['Cancer']
+Scores: [0.9913620948791504]
+Labels: ['Chronic respiratory disease']
+Scores: [8.603271999163553e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.519342034356669e-05]
+Labels: ['Mental Health']
+Scores: [0.00010641579865477979]
+Labels: ['Diabetes type 1']
+Scores: [0.00014060863759368658]
+Labels: ['Diabetes type 2']
+Scores: [0.00012065964983776212]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727688
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Neoplasms', 'Cross-Sectional Studies', 'Male', 'Female', 'Malnutrition', 'Aged, 80 and over', 'Nutritional Status', 'Surveys and Questionnaires', 'Nutrition Assessment', 'Diet', 'Symptom Burden']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00031858342117629945]
+Labels: ['Diabetes']
+Scores: [0.00010607943113427609]
+Labels: ['Cancer']
+Scores: [0.9924505352973938]
+Labels: ['Chronic respiratory disease']
+Scores: [7.711985381320119e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.351768337888643e-05]
+Labels: ['Mental Health']
+Scores: [9.853448864305392e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001768061483744532]
+Labels: ['Diabetes type 2']
+Scores: [0.00016910574049688876]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727686
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Exercise', 'Exercise Therapy', 'Neoplasms', 'Quality of Life', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19468346238136292]
+Labels: ['Diabetes']
+Scores: [0.12920327484607697]
+Labels: ['Cancer']
+Scores: [0.9827643036842346]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07431508600711823]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06272882968187332]
+Labels: ['Mental Health']
+Scores: [0.027980398386716843]
+Labels: ['Diabetes type 1']
+Scores: [0.13280637562274933]
+Labels: ['Diabetes type 2']
+Scores: [0.14444254338741302]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727684
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Methadone', 'Neuralgia', 'Cancer Pain', 'Analgesics, Opioid', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004014129808638245]
+Labels: ['Diabetes']
+Scores: [8.010313467821106e-05]
+Labels: ['Cancer']
+Scores: [0.8469764590263367]
+Labels: ['Chronic respiratory disease']
+Scores: [7.941240619402379e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.720384696265683e-05]
+Labels: ['Mental Health']
+Scores: [0.00018176987941842526]
+Labels: ['Diabetes type 1']
+Scores: [7.719109999015927e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.05546878837049e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727683
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Cancer Survivors', 'Male', 'Adult', 'Adolescent', 'Neoplasms', 'Young Adult', 'Fertility', 'Cohort Studies', 'Surveys and Questionnaires', 'Canada', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22259864211082458]
+Labels: ['Diabetes']
+Scores: [0.07698390632867813]
+Labels: ['Cancer']
+Scores: [0.8494467735290527]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013490132987499237]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002846142277121544]
+Labels: ['Mental Health']
+Scores: [0.04743445664644241]
+Labels: ['Diabetes type 1']
+Scores: [0.12007302045822144]
+Labels: ['Diabetes type 2']
+Scores: [0.09671010076999664]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Health Literacy', 'Fear', 'Neoplasms', 'Neoplasm Recurrence, Local', 'Disease Progression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011595760472118855]
+Labels: ['Diabetes']
+Scores: [0.0018026065081357956]
+Labels: ['Cancer']
+Scores: [0.7619515061378479]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012578244786709547]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008856551721692085]
+Labels: ['Mental Health']
+Scores: [0.0034119836054742336]
+Labels: ['Diabetes type 1']
+Scores: [0.003977793734520674]
+Labels: ['Diabetes type 2']
+Scores: [0.0030677870381623507]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727182
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patents as Topic', 'Ataxia Telangiectasia Mutated Proteins', 'Neoplasms', 'Antineoplastic Agents', 'Animals', 'Protein Kinase Inhibitors', 'Drug Development', 'Molecular Targeted Therapy', 'DNA Breaks, Double-Stranded']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006099556107074022]
+Labels: ['Diabetes']
+Scores: [0.00013796209532301873]
+Labels: ['Cancer']
+Scores: [0.991992175579071]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007650436600670218]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001004280275083147]
+Labels: ['Mental Health']
+Scores: [0.00020221562590450048]
+Labels: ['Diabetes type 1']
+Scores: [0.0005785076064057648]
+Labels: ['Diabetes type 2']
+Scores: [0.00035554097848944366]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726750
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cerebral Hemorrhage', 'Retrospective Studies', 'Middle Aged', 'Propensity Score', 'Risk Factors', 'Neoplasms', 'Aged', 'Prognosis', 'Neutrophils', 'Hemoglobins', 'China', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001439809799194336]
+Labels: ['Diabetes']
+Scores: [0.00021458273113239557]
+Labels: ['Cancer']
+Scores: [0.9941300749778748]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011422134411986917]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022281840210780501]
+Labels: ['Mental Health']
+Scores: [0.00041484565008431673]
+Labels: ['Diabetes type 1']
+Scores: [0.00017611640214454383]
+Labels: ['Diabetes type 2']
+Scores: [0.00022607161372434348]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726590
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Cell Movement', 'Immunotherapy', 'Mesenchymal Stem Cell Transplantation', 'Mesenchymal Stem Cells', 'Neoplasms', 'Tumor Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007053038105368614]
+Labels: ['Diabetes']
+Scores: [0.00038047650014050305]
+Labels: ['Cancer']
+Scores: [0.9956042766571045]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013935882598161697]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022278314281720668]
+Labels: ['Mental Health']
+Scores: [0.00013809639494866133]
+Labels: ['Diabetes type 1']
+Scores: [0.013760308735072613]
+Labels: ['Diabetes type 2']
+Scores: [0.006379475351423025]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726589
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Bibliometrics', 'Methylation', 'Tumor Microenvironment', 'RNA', 'Lymphocytes, Tumor-Infiltrating', 'Animals', 'RNA Methylation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014879594091325998]
+Labels: ['Diabetes']
+Scores: [0.00029914340120740235]
+Labels: ['Cancer']
+Scores: [0.9767283201217651]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00504329614341259]
+Labels: ['Cardiovascular diseases']
+Scores: [9.678212518338114e-05]
+Labels: ['Mental Health']
+Scores: [9.461768786422908e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0033770687878131866]
+Labels: ['Diabetes type 2']
+Scores: [0.0008456590003333986]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726379
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Lipid Metabolism', 'Neoplasms', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21251001954078674]
+Labels: ['Diabetes']
+Scores: [0.09550397098064423]
+Labels: ['Cancer']
+Scores: [0.9807008504867554]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005807927809655666]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011615868657827377]
+Labels: ['Mental Health']
+Scores: [0.00036706376704387367]
+Labels: ['Diabetes type 1']
+Scores: [0.05409387871623039]
+Labels: ['Diabetes type 2']
+Scores: [0.04226497933268547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726369
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Reactive Oxygen Species', 'Glutathione', 'Photochemotherapy', 'Animals', 'Tumor Microenvironment', 'Nanostructures', 'Antineoplastic Agents', 'Photosensitizing Agents', 'Antioxidants', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002174071269109845]
+Labels: ['Diabetes']
+Scores: [0.0003468702780082822]
+Labels: ['Cancer']
+Scores: [0.9875266551971436]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008822271600365639]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022509928385261446]
+Labels: ['Mental Health']
+Scores: [0.00018900985014624894]
+Labels: ['Diabetes type 1']
+Scores: [0.0009304212289862335]
+Labels: ['Diabetes type 2']
+Scores: [0.000814660859759897]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726308
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Connective Tissue Diseases', 'Vasculitis', 'Immunologic Factors', 'Immunomodulating Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002262985100969672]
+Labels: ['Diabetes']
+Scores: [0.0004018303588964045]
+Labels: ['Cancer']
+Scores: [0.8487507104873657]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003769489121623337]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00047382773482240736]
+Labels: ['Mental Health']
+Scores: [0.00041980622336268425]
+Labels: ['Diabetes type 1']
+Scores: [0.0007026417879387736]
+Labels: ['Diabetes type 2']
+Scores: [0.0007819008897058666]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726258
+Predictions: ['Cancer']
+MeshTerm: ['Vaccinia virus', 'Humans', 'Animals', 'Cell Line, Tumor', 'Mice', 'Mice, Nude', 'Virus Replication', 'Oncolytic Viruses', 'Oncolytic Virotherapy', 'RNA-Binding Proteins', 'Neoplasms', 'Xenograft Model Antitumor Assays', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10621031373739243]
+Labels: ['Diabetes']
+Scores: [0.0004443194775376469]
+Labels: ['Cancer']
+Scores: [0.9961960315704346]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003981687594205141]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022159867512527853]
+Labels: ['Mental Health']
+Scores: [0.0005770057905465364]
+Labels: ['Diabetes type 1']
+Scores: [0.005279442761093378]
+Labels: ['Diabetes type 2']
+Scores: [0.002135565271601081]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3417211174964905]
+Labels: ['Diabetes']
+Scores: [0.3137887418270111]
+Labels: ['Cancer']
+Scores: [0.9628982543945312]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09546160697937012]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14464731514453888]
+Labels: ['Mental Health']
+Scores: [0.005276182200759649]
+Labels: ['Diabetes type 1']
+Scores: [0.3305937349796295]
+Labels: ['Diabetes type 2']
+Scores: [0.293666273355484]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726139
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Retrospective Studies', 'Female', 'Male', 'Japan', 'Middle Aged', 'Exercise', 'Smartphone', 'Databases, Factual', 'Aged', 'Adult', 'Cohort Studies', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010310136713087559]
+Labels: ['Diabetes']
+Scores: [0.00027217890601605177]
+Labels: ['Cancer']
+Scores: [0.9904698729515076]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002369829686358571]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005915176589041948]
+Labels: ['Mental Health']
+Scores: [0.00299454596824944]
+Labels: ['Diabetes type 1']
+Scores: [0.0027337742503732443]
+Labels: ['Diabetes type 2']
+Scores: [0.0020693831611424685]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726004
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Taiwan', 'Qualitative Research', 'Guideline Adherence', 'Practice Guidelines as Topic', 'Neoplasms', 'Quality of Health Care', 'Case Managers', 'Medical Oncology', 'Interviews as Topic', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001163126085884869]
+Labels: ['Diabetes']
+Scores: [9.805219451664016e-05]
+Labels: ['Cancer']
+Scores: [0.9470056891441345]
+Labels: ['Chronic respiratory disease']
+Scores: [9.645191312301904e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010853856656467542]
+Labels: ['Mental Health']
+Scores: [0.0001179747559945099]
+Labels: ['Diabetes type 1']
+Scores: [0.00012546272773761302]
+Labels: ['Diabetes type 2']
+Scores: [0.00012338678061496466]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00359441083855927]
+Labels: ['Diabetes']
+Scores: [0.18788446485996246]
+Labels: ['Cancer']
+Scores: [0.1077457070350647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.756691575050354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8589568734169006]
+Labels: ['Mental Health']
+Scores: [0.0026237936690449715]
+Labels: ['Diabetes type 1']
+Scores: [0.36341992020606995]
+Labels: ['Diabetes type 2']
+Scores: [0.3594886362552643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003987666859757155]
+Labels: ['Diabetes']
+Scores: [0.016446102410554886]
+Labels: ['Cancer']
+Scores: [0.912311315536499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.511831521987915]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005258438177406788]
+Labels: ['Mental Health']
+Scores: [0.00016115812468342483]
+Labels: ['Diabetes type 1']
+Scores: [0.08606204390525818]
+Labels: ['Diabetes type 2']
+Scores: [0.06039801985025406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0019770152866840363]
+Labels: ['Diabetes']
+Scores: [0.00011495774379000068]
+Labels: ['Cancer']
+Scores: [0.00012192875146865845]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4854195713996887]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012411948409862816]
+Labels: ['Mental Health']
+Scores: [0.00013785663759335876]
+Labels: ['Diabetes type 1']
+Scores: [0.00010680946434149519]
+Labels: ['Diabetes type 2']
+Scores: [0.00010642527195159346]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9395077228546143]
+Labels: ['Diabetes']
+Scores: [0.21598200500011444]
+Labels: ['Cancer']
+Scores: [0.0013719385024160147]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2076088935136795]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3263680040836334]
+Labels: ['Mental Health']
+Scores: [0.008252960629761219]
+Labels: ['Diabetes type 1']
+Scores: [0.24853432178497314]
+Labels: ['Diabetes type 2']
+Scores: [0.1939517855644226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710468
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Allergens', 'Adult', 'Adolescent', 'Child', 'China', 'Middle Aged', 'Child, Preschool', 'Cross-Sectional Studies', 'Young Adult', 'Infant', 'Aged', 'Immunoglobulin E', 'Aged, 80 and over', 'Animals', 'Skin Diseases', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29170674085617065]
+Labels: ['Diabetes']
+Scores: [0.12206332385540009]
+Labels: ['Cancer']
+Scores: [0.06856577098369598]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5804747343063354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019943512976169586]
+Labels: ['Mental Health']
+Scores: [0.021063705906271935]
+Labels: ['Diabetes type 1']
+Scores: [0.3224359452724457]
+Labels: ['Diabetes type 2']
+Scores: [0.23795069754123688]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707265
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Quality of Life', 'China', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Incineration', 'Adult', 'Surveys and Questionnaires', 'Residence Characteristics', 'Aged', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06601589918136597]
+Labels: ['Diabetes']
+Scores: [0.0001651834463700652]
+Labels: ['Cancer']
+Scores: [0.00015153632557485253]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5537654161453247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013684143777936697]
+Labels: ['Mental Health']
+Scores: [0.00031393629615195096]
+Labels: ['Diabetes type 1']
+Scores: [0.0005380223738029599]
+Labels: ['Diabetes type 2']
+Scores: [0.0004948865389451385]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nitrogen Dioxide', 'Republic of Korea', 'Cross-Over Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Air Pollutants', 'Young Adult', 'Adolescent', 'Child, Preschool', 'Child', 'Air Pollution', 'Infant', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.048028670251369476]
+Labels: ['Diabetes']
+Scores: [0.00042005995055660605]
+Labels: ['Cancer']
+Scores: [0.0001204812724608928]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006024130270816386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006505512283183634]
+Labels: ['Mental Health']
+Scores: [0.00020881723321508616]
+Labels: ['Diabetes type 1']
+Scores: [0.02121605910360813]
+Labels: ['Diabetes type 2']
+Scores: [0.004664722364395857]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39694698
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Scotland', 'Male', 'Female', 'Air Pollution', 'Prospective Studies', 'Middle Aged', 'Particulate Matter', 'Hospitalization', 'Environmental Exposure', 'Adult', 'Nitrogen Dioxide', 'Aged', 'Air Pollutants', 'Sulfur Dioxide', 'Cardiovascular Diseases', 'Longitudinal Studies', 'Young Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3091180622577667]
+Labels: ['Diabetes']
+Scores: [0.27372461557388306]
+Labels: ['Cancer']
+Scores: [0.2559410631656647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7551568150520325]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3712645173072815]
+Labels: ['Mental Health']
+Scores: [0.8070631623268127]
+Labels: ['Diabetes type 1']
+Scores: [0.3981516361236572]
+Labels: ['Diabetes type 2']
+Scores: [0.3773996829986572]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39694558
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nebulizers and Vaporizers', 'Child', 'Administration, Inhalation', 'Respiratory Tract Diseases', 'Asthma', 'Home Care Services', 'Practice Guidelines as Topic', 'Respiratory Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00198288238607347]
+Labels: ['Diabetes']
+Scores: [0.0001448473340133205]
+Labels: ['Cancer']
+Scores: [0.0001888875412987545]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5315934419631958]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018495573021937162]
+Labels: ['Mental Health']
+Scores: [0.00012760281970258802]
+Labels: ['Diabetes type 1']
+Scores: [0.0004769387887790799]
+Labels: ['Diabetes type 2']
+Scores: [0.00038210884667932987]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684326
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'Mast Cells', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011646315455436707]
+Labels: ['Diabetes']
+Scores: [0.0001890182466013357]
+Labels: ['Cancer']
+Scores: [0.00017883973487187177]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0557536743581295]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015823703142814338]
+Labels: ['Mental Health']
+Scores: [0.0002840787637978792]
+Labels: ['Diabetes type 1']
+Scores: [0.00020776386372745037]
+Labels: ['Diabetes type 2']
+Scores: [0.0002142349403584376]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684250
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Endocrine Disruptors', 'Humans', 'Respiratory System', 'Animals', 'Oxidative Stress', 'Respiratory Tract Diseases', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09759417921304703]
+Labels: ['Diabetes']
+Scores: [0.017631124705076218]
+Labels: ['Cancer']
+Scores: [0.001811005175113678]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8652288913726807]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00029981645639054477]
+Labels: ['Mental Health']
+Scores: [0.0007030041888356209]
+Labels: ['Diabetes type 1']
+Scores: [0.16357606649398804]
+Labels: ['Diabetes type 2']
+Scores: [0.12129975110292435]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661886
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Child', 'Male', 'Homeostasis', 'Minerals', 'Vitamins', 'Ascorbic Acid', 'Respiratory Tract Diseases', 'Vitamin D', 'Recurrence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03447147086262703]
+Labels: ['Diabetes']
+Scores: [0.011958908289670944]
+Labels: ['Cancer']
+Scores: [0.014405126683413982]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8077692985534668]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00043561149504967034]
+Labels: ['Mental Health']
+Scores: [0.0011808797717094421]
+Labels: ['Diabetes type 1']
+Scores: [0.05087573081254959]
+Labels: ['Diabetes type 2']
+Scores: [0.03748170658946037]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661885
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Male', 'Antioxidants', 'Female', 'Ascorbic Acid', 'Interleukin-6', 'Glutathione Peroxidase', 'Hydrocortisone', 'Ferritins', 'Tumor Necrosis Factor-alpha', 'Respiratory Tract Diseases', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3956264853477478]
+Labels: ['Diabetes']
+Scores: [0.16284258663654327]
+Labels: ['Cancer']
+Scores: [0.020837070420384407]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005577592528425157]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03334649279713631]
+Labels: ['Mental Health']
+Scores: [0.00494789145886898]
+Labels: ['Diabetes type 1']
+Scores: [0.31309646368026733]
+Labels: ['Diabetes type 2']
+Scores: [0.16920319199562073]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39659714
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Workplace', 'Occupational Diseases', 'Respiratory Tract Diseases', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23326753079891205]
+Labels: ['Diabetes']
+Scores: [0.01194172166287899]
+Labels: ['Cancer']
+Scores: [0.0005561079597100616]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4239324927330017]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015872318181209266]
+Labels: ['Mental Health']
+Scores: [0.0006057785940356553]
+Labels: ['Diabetes type 1']
+Scores: [0.005123961716890335]
+Labels: ['Diabetes type 2']
+Scores: [0.005737963132560253]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39643329
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Adult', 'Prospective Studies', 'Nitrogen Dioxide', 'China', 'Aged', 'Environmental Exposure', 'Incidence', 'Musculoskeletal Diseases', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Air Pollutants', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6776480078697205]
+Labels: ['Diabetes']
+Scores: [0.4870719909667969]
+Labels: ['Cancer']
+Scores: [0.9273176789283752]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7970423102378845]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9104179739952087]
+Labels: ['Mental Health']
+Scores: [0.021708505228161812]
+Labels: ['Diabetes type 1']
+Scores: [0.49909594655036926]
+Labels: ['Diabetes type 2']
+Scores: [0.5347185134887695]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39642570
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mustard Gas', 'Male', 'Biomarkers', 'Cross-Sectional Studies', 'Adult', 'Chemical Warfare Agents', 'Veterans', 'Middle Aged', 'Respiratory Tract Diseases', 'Iran']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09831327944993973]
+Labels: ['Diabetes']
+Scores: [0.43036726117134094]
+Labels: ['Cancer']
+Scores: [0.0004657302051782608]
+Labels: ['Chronic respiratory disease']
+Scores: [0.968314528465271]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019895366858690977]
+Labels: ['Mental Health']
+Scores: [0.0003281688841525465]
+Labels: ['Diabetes type 1']
+Scores: [0.3847307860851288]
+Labels: ['Diabetes type 2']
+Scores: [0.37261080741882324]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39640901
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Plants, Medicinal', 'Humans', 'Tanzania', 'Male', 'Female', 'Respiratory Tract Diseases', 'Adult', 'Middle Aged', 'Health Knowledge, Attitudes, Practice', 'Medicine, African Traditional', 'Aged', 'Phytotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6875227093696594]
+Labels: ['Diabetes']
+Scores: [0.3398558795452118]
+Labels: ['Cancer']
+Scores: [0.16158045828342438]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8885836601257324]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1345733404159546]
+Labels: ['Mental Health']
+Scores: [0.09891489148139954]
+Labels: ['Diabetes type 1']
+Scores: [0.6373839974403381]
+Labels: ['Diabetes type 2']
+Scores: [0.5941521525382996]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633457
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Respiratory Tract Diseases', 'Nanoparticles', 'Microplastics', 'Inhalation Exposure', 'Air Pollutants', 'Animals', 'Respiratory System']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30179253220558167]
+Labels: ['Diabetes']
+Scores: [0.0008371372823603451]
+Labels: ['Cancer']
+Scores: [0.00027064859750680625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8144121170043945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008385746739804745]
+Labels: ['Mental Health']
+Scores: [0.0003536096483003348]
+Labels: ['Diabetes type 1']
+Scores: [0.04876360669732094]
+Labels: ['Diabetes type 2']
+Scores: [0.029966428875923157]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633418
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Hospitalization', 'Child', 'Male', 'Female', 'Air Pollutants', 'Cross-Over Studies', 'Child, Preschool', 'COVID-19', 'Respiratory Tract Diseases', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Infant', 'Sulfur Dioxide', 'SARS-CoV-2', 'Adolescent', 'Nitrogen Dioxide', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03803017735481262]
+Labels: ['Diabetes']
+Scores: [0.0005504371947608888]
+Labels: ['Cancer']
+Scores: [0.0001921776420203969]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000782724644523114]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019170960877090693]
+Labels: ['Mental Health']
+Scores: [0.00021485285833477974]
+Labels: ['Diabetes type 1']
+Scores: [0.00878977496176958]
+Labels: ['Diabetes type 2']
+Scores: [0.004495011176913977]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39632975
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Lung Neoplasms', 'Genome-Wide Association Study', 'Ketone Bodies', 'Polymorphism, Single Nucleotide', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020392997190356255]
+Labels: ['Diabetes']
+Scores: [0.00022148643620312214]
+Labels: ['Cancer']
+Scores: [0.24486276507377625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6665657758712769]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00028342255973257124]
+Labels: ['Mental Health']
+Scores: [0.00025532307336106896]
+Labels: ['Diabetes type 1']
+Scores: [0.00038731121458113194]
+Labels: ['Diabetes type 2']
+Scores: [0.00034989413688890636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39620702
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Climate Change', 'Air Pollution', 'Particulate Matter', 'Environmental Exposure', 'Ozone', 'Respiratory Tract Diseases', 'Air Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01824953407049179]
+Labels: ['Diabetes']
+Scores: [0.0008563442970626056]
+Labels: ['Cancer']
+Scores: [0.0007079690112732351]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6672302484512329]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010321353329345584]
+Labels: ['Mental Health']
+Scores: [0.0005187586066313088]
+Labels: ['Diabetes type 1']
+Scores: [0.003520924597978592]
+Labels: ['Diabetes type 2']
+Scores: [0.0033471276983618736]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39617287
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'Female', 'Hypersensitivity', 'Male', 'France', 'Dietary Exposure', 'Child', 'Cohort Studies', 'Child, Preschool', 'Pesticides', 'Respiratory Tract Diseases', 'Environmental Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20914773643016815]
+Labels: ['Diabetes']
+Scores: [0.004135962575674057]
+Labels: ['Cancer']
+Scores: [0.002339516533538699]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14932049810886383]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018181998748332262]
+Labels: ['Mental Health']
+Scores: [0.015355517156422138]
+Labels: ['Diabetes type 1']
+Scores: [0.026110028848052025]
+Labels: ['Diabetes type 2']
+Scores: [0.016312789171934128]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39615506
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Cardiovascular Diseases', 'Environmental Exposure', 'Fires', 'Global Burden of Disease', 'Global Health', 'Health Impact Assessment', 'Mortality', 'Ozone', 'Particulate Matter', 'Respiratory Tract Diseases', 'Wildfires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08323584496974945]
+Labels: ['Diabetes']
+Scores: [0.002155223162844777]
+Labels: ['Cancer']
+Scores: [0.003860148834064603]
+Labels: ['Chronic respiratory disease']
+Scores: [0.46720030903816223]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5157182812690735]
+Labels: ['Mental Health']
+Scores: [0.001330250408500433]
+Labels: ['Diabetes type 1']
+Scores: [0.08168070763349533]
+Labels: ['Diabetes type 2']
+Scores: [0.0543997623026371]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39608993
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Australia', 'Adult', 'Adolescent', 'Hospitalization', 'Aged', 'Young Adult', 'Child', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Infant, Newborn', 'Aged, 80 and over', 'Sex Distribution', 'Age Distribution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12493035942316055]
+Labels: ['Diabetes']
+Scores: [0.0014200109289959073]
+Labels: ['Cancer']
+Scores: [0.00023117724049370736]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6932868957519531]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016418923041783273]
+Labels: ['Mental Health']
+Scores: [0.001943854964338243]
+Labels: ['Diabetes type 1']
+Scores: [0.0506659671664238]
+Labels: ['Diabetes type 2']
+Scores: [0.028543928638100624]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39607106
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Brazil', 'Hospitalization', 'Adolescent', 'Spatio-Temporal Analysis', 'Child', 'Respiratory Tract Diseases', 'Young Adult', 'Adult', 'Socioeconomic Factors', 'Child, Preschool', 'Female', 'Male', 'Middle Aged', 'Aged', 'Cluster Analysis', 'Infant', 'Urban Population', 'Space-Time Clustering', 'Cities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6072385907173157]
+Labels: ['Diabetes']
+Scores: [0.18284161388874054]
+Labels: ['Cancer']
+Scores: [0.06498179584741592]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8763493895530701]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014746508561074734]
+Labels: ['Mental Health']
+Scores: [0.2941626310348511]
+Labels: ['Diabetes type 1']
+Scores: [0.7853286862373352]
+Labels: ['Diabetes type 2']
+Scores: [0.7539731860160828]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Chronic respiratory disease', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39603392
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Asia', 'Chronic Disease', 'Quality of Life', 'Qigong', 'Yoga', 'Tai Ji', 'Resistance Training', 'Respiratory Tract Diseases', 'Exercise Therapy', 'Exercise Tolerance', 'Practice Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3414502441883087]
+Labels: ['Diabetes']
+Scores: [0.026764295995235443]
+Labels: ['Cancer']
+Scores: [0.0030295266769826412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9477002024650574]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013596867211163044]
+Labels: ['Mental Health']
+Scores: [0.017235880717635155]
+Labels: ['Diabetes type 1']
+Scores: [0.36135801672935486]
+Labels: ['Diabetes type 2']
+Scores: [0.34325939416885376]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578996
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Adult', 'Aged', 'China', 'Aged, 80 and over', 'Hand Strength', 'Respiratory Tract Diseases', 'Muscle, Skeletal', 'Muscle Strength', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13816280663013458]
+Labels: ['Diabetes']
+Scores: [0.001603804063051939]
+Labels: ['Cancer']
+Scores: [0.0004241690330673009]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7767324447631836]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007655344088561833]
+Labels: ['Mental Health']
+Scores: [0.0006440929137170315]
+Labels: ['Diabetes type 1']
+Scores: [0.03216132894158363]
+Labels: ['Diabetes type 2']
+Scores: [0.01835624687373638]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578779
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Signal Transduction', 'Animals', 'Smad5 Protein', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.51594477891922]
+Labels: ['Diabetes']
+Scores: [0.043868549168109894]
+Labels: ['Cancer']
+Scores: [0.3433842658996582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9934079051017761]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0047769695520401]
+Labels: ['Mental Health']
+Scores: [0.0035709862131625414]
+Labels: ['Diabetes type 1']
+Scores: [0.2685254216194153]
+Labels: ['Diabetes type 2']
+Scores: [0.183453768491745]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570415
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nutrition Surveys', 'Middle Aged', 'Male', 'Female', 'Adult', 'Aged', 'Antioxidants', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Aged, 80 and over', 'Infant', 'Chronic Disease', 'Child', 'Diet', 'United States', 'Respiratory Tract Diseases', 'Risk Factors', 'Mortality', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13117356598377228]
+Labels: ['Diabetes']
+Scores: [0.0396854467689991]
+Labels: ['Cancer']
+Scores: [0.02147822082042694]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9948978424072266]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019941662903875113]
+Labels: ['Mental Health']
+Scores: [0.0002146115730283782]
+Labels: ['Diabetes type 1']
+Scores: [0.1490141749382019]
+Labels: ['Diabetes type 2']
+Scores: [0.15993978083133698]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570333
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Vietnam', 'Humans', 'Hospitalization', 'Male', 'Female', 'Middle Aged', 'Temperature', 'Aged', 'Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Young Adult', 'Infant', 'Cardiovascular Diseases', 'Child, Preschool', 'Child', 'Poverty', 'Infant, Newborn', 'Aged, 80 and over', 'Risk']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20666463673114777]
+Labels: ['Diabetes']
+Scores: [0.06684675067663193]
+Labels: ['Cancer']
+Scores: [0.039780143648386]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6978762149810791]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7132096290588379]
+Labels: ['Mental Health']
+Scores: [0.0065365144982934]
+Labels: ['Diabetes type 1']
+Scores: [0.31425440311431885]
+Labels: ['Diabetes type 2']
+Scores: [0.31235170364379883]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39566943
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fukushima Nuclear Accident', 'Japan', 'Retrospective Studies', 'Male', 'Female', 'Aged', 'Middle Aged', 'Adult', 'Cause of Death', 'Young Adult', 'Adolescent', 'Child', 'Aged, 80 and over', 'Child, Preschool', 'Infant', 'Disasters', 'Earthquakes', 'Respiratory Tract Diseases', 'Cardiovascular Diseases', 'Suicide', 'Infant, Newborn', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4865278899669647]
+Labels: ['Diabetes']
+Scores: [0.07481658458709717]
+Labels: ['Cancer']
+Scores: [0.40308016538619995]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09712597727775574]
+Labels: ['Cardiovascular diseases']
+Scores: [0.041961219161748886]
+Labels: ['Mental Health']
+Scores: [0.43435150384902954]
+Labels: ['Diabetes type 1']
+Scores: [0.2229483723640442]
+Labels: ['Diabetes type 2']
+Scores: [0.20053507387638092]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39566532
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Exosomes', 'Humans', 'Respiratory Tract Diseases', 'Animals', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008676964789628983]
+Labels: ['Diabetes']
+Scores: [0.0009394371300004423]
+Labels: ['Cancer']
+Scores: [0.01673883944749832]
+Labels: ['Chronic respiratory disease']
+Scores: [0.91325443983078]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00029587082099169493]
+Labels: ['Mental Health']
+Scores: [0.00020832869631703943]
+Labels: ['Diabetes type 1']
+Scores: [0.05739368498325348]
+Labels: ['Diabetes type 2']
+Scores: [0.027444545179605484]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39550655
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Particulate Matter', 'Middle Aged', 'Aged', 'Adult', 'Cohort Studies', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Neoplasms', 'Air Pollution', 'Air Pollutants', 'Cardiovascular Diseases', 'Italy', 'Rivers', 'Young Adult', 'Proportional Hazards Models', 'Manufacturing and Industrial Facilities', 'Adolescent', 'Cause of Death', 'Industry', 'Nitrogen Oxides', 'Child, Preschool', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1293077915906906]
+Labels: ['Diabetes']
+Scores: [0.002440850017592311]
+Labels: ['Cancer']
+Scores: [0.7021809220314026]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8960741758346558]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4070126712322235]
+Labels: ['Mental Health']
+Scores: [0.000888373760972172]
+Labels: ['Diabetes type 1']
+Scores: [0.007136206608265638]
+Labels: ['Diabetes type 2']
+Scores: [0.004927600733935833]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39544058
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Volatile Organic Compounds', 'Air Pollution, Indoor', 'Pulmonary Disease, Chronic Obstructive', 'Respiratory Tract Diseases', 'Asthma', 'Sick Building Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005877077579498291]
+Labels: ['Diabetes']
+Scores: [0.00017285726789850742]
+Labels: ['Cancer']
+Scores: [0.00015940405137371272]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9815649390220642]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016145351401064545]
+Labels: ['Mental Health']
+Scores: [0.0002628943766467273]
+Labels: ['Diabetes type 1']
+Scores: [0.0004468027036637068]
+Labels: ['Diabetes type 2']
+Scores: [0.00036971468944102526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39543369
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bipolar Disorder', 'Pulmonary Disease, Chronic Obstructive', 'Asthma', 'Prevalence', 'Female', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Male', 'Pneumonia', 'Odds Ratio', 'Respiration Disorders', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5182482600212097]
+Labels: ['Diabetes']
+Scores: [0.11079893261194229]
+Labels: ['Cancer']
+Scores: [0.137968510389328]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9704139828681946]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005208936985582113]
+Labels: ['Mental Health']
+Scores: [0.3015540838241577]
+Labels: ['Diabetes type 1']
+Scores: [0.20422889292240143]
+Labels: ['Diabetes type 2']
+Scores: [0.1834319531917572]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39537245
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cell Communication', 'Extracellular Vesicles', 'Animals', 'Lung', 'Lung Diseases', 'Signal Transduction', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000563863548450172]
+Labels: ['Diabetes']
+Scores: [0.00025474512949585915]
+Labels: ['Cancer']
+Scores: [0.006575594190508127]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007892047986388206]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002991565561387688]
+Labels: ['Mental Health']
+Scores: [0.00020397354091983289]
+Labels: ['Diabetes type 1']
+Scores: [0.0004199135582894087]
+Labels: ['Diabetes type 2']
+Scores: [0.0003770309267565608]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39530346
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollution', 'Environmental Exposure', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Environmental Monitoring', 'Air Filters', 'Child', 'Exercise', 'Aged', 'Air Pollutants', 'Masks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0034629569854587317]
+Labels: ['Diabetes']
+Scores: [0.016904611140489578]
+Labels: ['Cancer']
+Scores: [0.00043825848842971027]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3481433391571045]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009981744922697544]
+Labels: ['Mental Health']
+Scores: [0.0005612345412373543]
+Labels: ['Diabetes type 1']
+Scores: [0.11288321018218994]
+Labels: ['Diabetes type 2']
+Scores: [0.10462594777345657]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39521464
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nepal', 'Child', 'Risk Factors', 'Female', 'Research Design', 'Male', 'Longitudinal Studies', 'Adult', 'Adolescent', 'Parents', 'Child, Preschool', 'Air Pollution', 'Respiratory Tract Diseases', 'Cohort Studies', 'Life Style', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6054756045341492]
+Labels: ['Diabetes']
+Scores: [0.2405107319355011]
+Labels: ['Cancer']
+Scores: [0.14044858515262604]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4019262194633484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1772376447916031]
+Labels: ['Mental Health']
+Scores: [0.13774235546588898]
+Labels: ['Diabetes type 1']
+Scores: [0.47885802388191223]
+Labels: ['Diabetes type 2']
+Scores: [0.5000333189964294]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39515807
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'RNA, Untranslated', 'RNA, Long Noncoding', 'Epigenesis, Genetic', 'MicroRNAs', 'Respiratory Tract Diseases', 'RNA, Circular']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3242758512496948]
+Labels: ['Diabetes']
+Scores: [0.00033749444992281497]
+Labels: ['Cancer']
+Scores: [0.00032053678296506405]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7840681076049805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013702057185582817]
+Labels: ['Mental Health']
+Scores: [0.00033582933247089386]
+Labels: ['Diabetes type 1']
+Scores: [0.0048118894919753075]
+Labels: ['Diabetes type 2']
+Scores: [0.002640926046296954]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39513278
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biomarkers', 'Female', 'Air Pollutants', 'Respiratory Tract Diseases', 'Chronic Disease', 'Environmental Exposure', 'Air Pollution', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004872653633356094]
+Labels: ['Diabetes']
+Scores: [0.11213541030883789]
+Labels: ['Cancer']
+Scores: [0.008791516534984112]
+Labels: ['Chronic respiratory disease']
+Scores: [0.888914942741394]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008723737555555999]
+Labels: ['Mental Health']
+Scores: [0.0003570319968275726]
+Labels: ['Diabetes type 1']
+Scores: [0.19649283587932587]
+Labels: ['Diabetes type 2']
+Scores: [0.20869383215904236]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39505076
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Particulate Matter', 'Republic of Korea', 'Cardiovascular Diseases', 'Humans', 'Air Pollutants', 'Air Pollution', 'Hospitalization', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005362117080949247]
+Labels: ['Diabetes']
+Scores: [0.00019361077283974737]
+Labels: ['Cancer']
+Scores: [0.0003913769905921072]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001581501099281013]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015976310533005744]
+Labels: ['Mental Health']
+Scores: [0.00011818281200248748]
+Labels: ['Diabetes type 1']
+Scores: [0.0062013347633183]
+Labels: ['Diabetes type 2']
+Scores: [0.0017148026963695884]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39503908
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Occupational Injuries', "Workers' Compensation", 'Seasons', 'Middle Aged', 'Occupational Diseases', 'Emergency Responders', 'Mental Disorders', 'Firefighters', 'Victoria', 'Musculoskeletal Diseases', 'Wildfires', 'Respiratory Tract Diseases', 'Young Adult', 'Police']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02960081584751606]
+Labels: ['Diabetes']
+Scores: [0.02016168273985386]
+Labels: ['Cancer']
+Scores: [0.009122706949710846]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08072558045387268]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002957815071567893]
+Labels: ['Mental Health']
+Scores: [0.8334461450576782]
+Labels: ['Diabetes type 1']
+Scores: [0.06164688989520073]
+Labels: ['Diabetes type 2']
+Scores: [0.05612006038427353]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39502059
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Sounds', 'Respiratory Tract Diseases', 'Auscultation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01047439780086279]
+Labels: ['Diabetes']
+Scores: [0.00015428863116540015]
+Labels: ['Cancer']
+Scores: [0.00012292117753531784]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6224114894866943]
+Labels: ['Cardiovascular diseases']
+Scores: [9.980557661037892e-05]
+Labels: ['Mental Health']
+Scores: [0.0009362546261399984]
+Labels: ['Diabetes type 1']
+Scores: [0.004011312499642372]
+Labels: ['Diabetes type 2']
+Scores: [0.002384154824540019]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494780
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Antioxidants', 'Diet', 'Hypersensitivity', 'Child, Preschool', 'Inflammation', 'Male', 'Birth Cohort', 'Multimorbidity', 'Adult', 'Maternal Nutritional Physiological Phenomena', 'Infant', 'Respiratory Tract Diseases', 'Asthma', 'Prenatal Exposure Delayed Effects', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33907875418663025]
+Labels: ['Diabetes']
+Scores: [0.0031249108724296093]
+Labels: ['Cancer']
+Scores: [0.003588287625461817]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1412186175584793]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006237316410988569]
+Labels: ['Mental Health']
+Scores: [0.002071961760520935]
+Labels: ['Diabetes type 1']
+Scores: [0.011392824351787567]
+Labels: ['Diabetes type 2']
+Scores: [0.007101858966052532]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494537
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Caregivers', 'Chronic Disease', 'Patient Education as Topic', 'Health Literacy', 'Palliative Care', 'Advance Care Planning', 'Decision Making, Shared', 'Learning', 'Respiratory Tract Diseases', 'Health Knowledge, Attitudes, Practice', 'Adaptation, Psychological', 'Decision Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.38993629813194275]
+Labels: ['Diabetes']
+Scores: [0.0018757631769403815]
+Labels: ['Cancer']
+Scores: [0.0004300818545743823]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9924649596214294]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007789762457832694]
+Labels: ['Mental Health']
+Scores: [0.0063324267975986]
+Labels: ['Diabetes type 1']
+Scores: [0.031223613768815994]
+Labels: ['Diabetes type 2']
+Scores: [0.02704354003071785]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494092
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Europe', 'Nitrogen Dioxide', 'Ozone', 'Respiratory Tract Diseases', 'World Health Organization']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.38926389813423157]
+Labels: ['Diabetes']
+Scores: [0.12743133306503296]
+Labels: ['Cancer']
+Scores: [0.07864353805780411]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6423248052597046]
+Labels: ['Cardiovascular diseases']
+Scores: [0.22997257113456726]
+Labels: ['Mental Health']
+Scores: [0.0014263949124142528]
+Labels: ['Diabetes type 1']
+Scores: [0.2884978652000427]
+Labels: ['Diabetes type 2']
+Scores: [0.24901433289051056]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39493756
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Computational Biology', 'User-Computer Interface', 'Databases, Factual', 'Respiratory Tract Diseases', 'Software']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23083409667015076]
+Labels: ['Diabetes']
+Scores: [0.0022151165176182985]
+Labels: ['Cancer']
+Scores: [0.0006884914473630488]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9047361016273499]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00034466624492779374]
+Labels: ['Mental Health']
+Scores: [0.0008856557542458177]
+Labels: ['Diabetes type 1']
+Scores: [0.5959527492523193]
+Labels: ['Diabetes type 2']
+Scores: [0.4892753064632416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39489274
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Republic of Korea', 'Humans', 'Female', 'Male', 'Temperature', 'Middle Aged', 'Seasons', 'Aged', 'Cardiovascular Diseases', 'Mortality', 'Adult', 'Child', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Infant', 'Aged, 80 and over', 'Respiratory Tract Diseases', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12807369232177734]
+Labels: ['Diabetes']
+Scores: [0.11095067113637924]
+Labels: ['Cancer']
+Scores: [0.09753551334142685]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23941901326179504]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6003373265266418]
+Labels: ['Mental Health']
+Scores: [0.008437509648501873]
+Labels: ['Diabetes type 1']
+Scores: [0.14963284134864807]
+Labels: ['Diabetes type 2']
+Scores: [0.13521040976047516]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39477760
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Spain', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Adolescent', 'Young Adult', 'Cause of Death', 'Aged, 80 and over', 'Child', 'Child, Preschool', 'Infant', 'Respiratory Tract Diseases', 'Mortality', 'Pandemics', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0020325402729213238]
+Labels: ['Diabetes']
+Scores: [0.00010538514470681548]
+Labels: ['Cancer']
+Scores: [0.00010090129217132926]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6068602800369263]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013998507347423583]
+Labels: ['Mental Health']
+Scores: [0.00016882437921594828]
+Labels: ['Diabetes type 1']
+Scores: [0.0003344528959132731]
+Labels: ['Diabetes type 2']
+Scores: [0.00038095543277449906]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39472952
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'South Africa', 'Quality of Life', 'Child, Preschool', 'Infant', 'Male', 'Female', 'Delphi Technique', 'Surveys and Questionnaires', 'Respiratory Tract Diseases', 'Infant, Newborn', 'Psychometrics', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05523098632693291]
+Labels: ['Diabetes']
+Scores: [0.00034625385887920856]
+Labels: ['Cancer']
+Scores: [0.00019659378449432552]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7033846974372864]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015067866479512304]
+Labels: ['Mental Health']
+Scores: [0.0004176079237367958]
+Labels: ['Diabetes type 1']
+Scores: [0.003930916078388691]
+Labels: ['Diabetes type 2']
+Scores: [0.004023827612400055]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39468133
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'South Africa', 'Female', 'Male', 'Eggs', 'Gastrointestinal Diseases', 'Infant Nutritional Physiological Phenomena', 'Respiratory Tract Diseases', 'Incidence', 'Morbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6226346492767334]
+Labels: ['Diabetes']
+Scores: [0.2311912178993225]
+Labels: ['Cancer']
+Scores: [0.11540689319372177]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6213633418083191]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04618406668305397]
+Labels: ['Mental Health']
+Scores: [0.11218126863241196]
+Labels: ['Diabetes type 1']
+Scores: [0.3889005482196808]
+Labels: ['Diabetes type 2']
+Scores: [0.32813337445259094]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39466470
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bone Morphogenetic Protein 2', 'Signal Transduction', 'Animals', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Hypertension, Pulmonary']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008447151631116867]
+Labels: ['Diabetes']
+Scores: [0.0002842421818058938]
+Labels: ['Cancer']
+Scores: [0.001940903952345252]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8249750137329102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005132832447998226]
+Labels: ['Mental Health']
+Scores: [0.00021854817168787122]
+Labels: ['Diabetes type 1']
+Scores: [0.0006620365893468261]
+Labels: ['Diabetes type 2']
+Scores: [0.0004164860292803496]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39465586
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Comorbidity', 'Patient Readmission', 'Length of Stay', 'Middle Aged', 'Retrospective Studies', 'Heart Failure', 'Prospective Studies', 'Hypertension', 'Myocardial Ischemia', 'Pulmonary Heart Disease', 'Aged, 80 and over', 'Prevalence', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000289338844595477]
+Labels: ['Diabetes']
+Scores: [0.00013344820763450116]
+Labels: ['Cancer']
+Scores: [9.387346653966233e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6183210611343384]
+Labels: ['Cardiovascular diseases']
+Scores: [9.146118827629834e-05]
+Labels: ['Mental Health']
+Scores: [0.00013564960681833327]
+Labels: ['Diabetes type 1']
+Scores: [0.0002660280151758343]
+Labels: ['Diabetes type 2']
+Scores: [0.00026957751833833754]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39462582
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Ozone', 'Japan', 'Particulate Matter', 'Humans', 'Air Pollutants', 'Cities', 'Aged', 'Female', 'Mortality', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'Air Pollution', 'Hot Temperature', 'Temperature', 'Respiratory Tract Diseases', 'Environmental Exposure', 'Young Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07321830093860626]
+Labels: ['Diabetes']
+Scores: [0.025624120607972145]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.056666646152734756]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0036211893893778324]
+Labels: ['Mental Health']
+Scores: [0.0003010835498571396]
+Labels: ['Diabetes type 1']
+Scores: [0.11866085976362228]
+Labels: ['Diabetes type 2']
+Scores: [0.12162476032972336]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462039
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Gastrointestinal Microbiome', 'Genome-Wide Association Study', 'Lung', 'Respiratory Tract Diseases', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029955828562378883]
+Labels: ['Diabetes']
+Scores: [0.00022590224398300052]
+Labels: ['Cancer']
+Scores: [0.00019577467173803598]
+Labels: ['Chronic respiratory disease']
+Scores: [0.76408851146698]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023424306709785014]
+Labels: ['Mental Health']
+Scores: [0.0002925927401520312]
+Labels: ['Diabetes type 1']
+Scores: [0.0007186425500549376]
+Labels: ['Diabetes type 2']
+Scores: [0.0006138997850939631]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39457304
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'Dust', 'Adult', 'Male', 'Occupational Exposure', 'Ethiopia', 'Female', 'Paper', 'Middle Aged', 'Cough', 'Prevalence', 'Young Adult', 'Respiratory Tract Diseases', 'Respiratory Sounds', 'Surveys and Questionnaires', 'Occupational Diseases', 'Industry', 'Dyspnea', 'Air Pollutants, Occupational']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.839370608329773]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013659531250596046]
+Labels: ['Mental Health']
+Scores: [0.008974765427410603]
+Labels: ['Diabetes type 1']
+Scores: [0.020654650405049324]
+Labels: ['Diabetes type 2']
+Scores: [0.01466885581612587]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39453518
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'Aged', 'Female', 'Male', 'Cross-Over Studies', 'Altitude', 'Air Pollutants', 'Respiratory Tract Diseases', 'China', 'Extreme Weather', 'Aged, 80 and over', 'Middle Aged', 'Cities', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.05478097125887871]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.11740492284297943]
+Labels: ['Diabetes type 2']
+Scores: [0.08103297650814056]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444957
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Adolescent', 'Adult', 'Child', 'Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.055576298385858536]
+Labels: ['Diabetes']
+Scores: [0.0007754238322377205]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8253917694091797]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00031765716266818345]
+Labels: ['Diabetes type 1']
+Scores: [0.02280423790216446]
+Labels: ['Diabetes type 2']
+Scores: [0.012355458922684193]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Middle Aged', 'Heating', 'Prospective Studies', 'Female', 'Male', 'Respiratory Tract Diseases', 'Proportional Hazards Models', 'China', 'Smoking', 'Risk Factors', 'Adult', 'Air Pollution, Indoor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0024583195336163044]
+Labels: ['Diabetes']
+Scores: [0.0002660599129740149]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.00033858331153169274]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0021054057870060205]
+Labels: ['Diabetes type 2']
+Scores: [0.0025874238926917315]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39443904
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Netherlands', 'Female', 'Male', 'Adult', 'Middle Aged', 'Smoke', 'Wood', 'Air Pollutants', 'Environmental Exposure', 'Aged', 'Particulate Matter', 'Respiratory Tract Diseases', 'Glucose']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.00012598992907442153]
+Labels: ['Mental Health']
+Scores: [0.00018923352763522416]
+Labels: ['Diabetes type 1']
+Scores: [0.004092115443199873]
+Labels: ['Diabetes type 2']
+Scores: [0.00285646365955472]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39439241
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Switzerland', 'Humans', 'History, 20th Century', 'History, 21st Century', 'History, 17th Century', 'History, 16th Century', 'Respiratory Tract Diseases', 'Male', 'Female', 'History, 18th Century', 'History, 19th Century', 'Adult', 'Middle Aged', 'Respiration Disorders', 'Aged', 'Child', 'Adolescent', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03042428381741047]
+Labels: ['Diabetes']
+Scores: [0.00011025203275494277]
+Labels: ['Cancer']
+Scores: [0.00013563266838900745]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8618914484977722]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023849123681429774]
+Labels: ['Mental Health']
+Scores: [0.0001062692899722606]
+Labels: ['Diabetes type 1']
+Scores: [0.0005118692643009126]
+Labels: ['Diabetes type 2']
+Scores: [0.0004408260283526033]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436432
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Prospective Studies', 'Child', 'Respiratory Tract Diseases', 'Male', 'Female', 'Air Pollutants', 'Particulate Matter', 'Air Pollution', 'Child Health', 'Environmental Exposure', 'Air Pollution, Indoor', 'Adolescent', 'Environmental Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020253129303455353]
+Labels: ['Diabetes']
+Scores: [9.993831918109208e-05]
+Labels: ['Cancer']
+Scores: [0.00010973920143442228]
+Labels: ['Chronic respiratory disease']
+Scores: [0.46534276008605957]
+Labels: ['Cardiovascular diseases']
+Scores: [8.989383786683902e-05]
+Labels: ['Mental Health']
+Scores: [0.00013612021575681865]
+Labels: ['Diabetes type 1']
+Scores: [0.0011316705495119095]
+Labels: ['Diabetes type 2']
+Scores: [0.0005944962031207979]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39435892
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'United Kingdom', 'Particulate Matter', 'Male', 'Female', 'Middle Aged', 'Aged', 'Proportional Hazards Models', 'Environmental Exposure', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Mortality', 'Time Factors', 'Air Pollution', 'Air Pollutants', 'Adult', 'Cohort Studies', 'Machine Learning', 'Respiratory Tract Diseases', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7535178065299988]
+Labels: ['Diabetes']
+Scores: [0.006133152171969414]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8456951975822449]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010518139461055398]
+Labels: ['Mental Health']
+Scores: [0.0001669989578658715]
+Labels: ['Diabetes type 1']
+Scores: [0.026095062494277954]
+Labels: ['Diabetes type 2']
+Scores: [0.020594332367181778]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39434079
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Air Pollution', 'Respiratory Tract Diseases', 'Risk Assessment', 'Air Pollutants', 'Reproducibility of Results']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11828143894672394]
+Labels: ['Diabetes']
+Scores: [0.00017091412155423313]
+Labels: ['Cancer']
+Scores: [0.00013315754767972976]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3651990592479706]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014954371727071702]
+Labels: ['Mental Health']
+Scores: [0.00013623478298541158]
+Labels: ['Diabetes type 1']
+Scores: [0.003652686718851328]
+Labels: ['Diabetes type 2']
+Scores: [0.0022529347334057093]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424664
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollution', 'Particulate Matter', 'Air Pollutants', 'Meteorological Concepts', 'Respiratory Tract Diseases', 'Iran', 'Sulfur Dioxide', 'Nitrogen Dioxide', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6586824059486389]
+Labels: ['Diabetes']
+Scores: [0.12553615868091583]
+Labels: ['Cancer']
+Scores: [0.06989344954490662]
+Labels: ['Chronic respiratory disease']
+Scores: [0.800920844078064]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014703487046062946]
+Labels: ['Mental Health']
+Scores: [0.5838143229484558]
+Labels: ['Diabetes type 1']
+Scores: [0.30227965116500854]
+Labels: ['Diabetes type 2']
+Scores: [0.27408966422080994]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424373
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Surveys and Questionnaires', 'Child', 'Quality Improvement', 'Documentation', 'Preoperative Care', 'Pediatrics', 'Respiration Disorders', 'Respiratory Tract Diseases', 'Preoperative Period']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08734167367219925]
+Labels: ['Diabetes']
+Scores: [0.0012699293438345194]
+Labels: ['Cancer']
+Scores: [0.0018504222389310598]
+Labels: ['Chronic respiratory disease']
+Scores: [0.32163146138191223]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001892469939775765]
+Labels: ['Mental Health']
+Scores: [0.002049722708761692]
+Labels: ['Diabetes type 1']
+Scores: [0.0126576479524374]
+Labels: ['Diabetes type 2']
+Scores: [0.01106397807598114]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39423508
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Phthalic Acids', 'Male', 'Female', 'Child', 'China', 'Cardiovascular Diseases', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Anthropometry', 'Dust', 'Schools', 'Endocrine Disruptors', 'Risk Assessment', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.35958802700042725]
+Labels: ['Diabetes']
+Scores: [0.4467478096485138]
+Labels: ['Cancer']
+Scores: [0.11154528707265854]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7104029655456543]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9186384081840515]
+Labels: ['Mental Health']
+Scores: [0.08260317146778107]
+Labels: ['Diabetes type 1']
+Scores: [0.5329443216323853]
+Labels: ['Diabetes type 2']
+Scores: [0.5197660326957703]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421822
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ambulances', 'China', 'Middle Aged', 'Cardiovascular Diseases', 'Temperature', 'Aged', 'Adult', 'Emergency Medical Services', 'Respiratory Tract Diseases', 'Seasons']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.34942638874053955]
+Labels: ['Diabetes']
+Scores: [0.16180601716041565]
+Labels: ['Cancer']
+Scores: [0.0013868858804926276]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6558704972267151]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9888312816619873]
+Labels: ['Mental Health']
+Scores: [0.0017196136759594083]
+Labels: ['Diabetes type 1']
+Scores: [0.2025025635957718]
+Labels: ['Diabetes type 2']
+Scores: [0.2833874523639679]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39419650
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Omalizumab', 'Anti-Inflammatory Agents, Non-Steroidal', 'Antibodies, Anti-Idiotypic', 'Asthma, Aspirin-Induced', 'Anti-Allergic Agents', 'Drug Hypersensitivity', 'Respiratory Tract Diseases', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10007727891206741]
+Labels: ['Diabetes']
+Scores: [0.0012346382718533278]
+Labels: ['Cancer']
+Scores: [0.0004786041099578142]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9521735906600952]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0306830033659935]
+Labels: ['Mental Health']
+Scores: [0.0012634923914447427]
+Labels: ['Diabetes type 1']
+Scores: [0.00548529950901866]
+Labels: ['Diabetes type 2']
+Scores: [0.005642980802804232]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39419227
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Microbiota', 'Air Microbiology', 'Middle Aged', 'Cross-Sectional Studies', 'China', 'Prevalence', 'Adult', 'Female', 'Aged', 'Air Pollution, Indoor', 'Respiratory Tract Diseases', 'Male', 'Plants', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2832242548465729]
+Labels: ['Diabetes']
+Scores: [0.04618702828884125]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.5542566776275635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06207093596458435]
+Labels: ['Mental Health']
+Scores: [0.00919343251734972]
+Labels: ['Diabetes type 1']
+Scores: [0.18143758177757263]
+Labels: ['Diabetes type 2']
+Scores: [0.13507625460624695]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39410863
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Africa', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Infections', 'Respiratory Tract Diseases', 'Female', 'Risk Factors', 'Family Characteristics', 'Child', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27839013934135437]
+Labels: ['Diabetes']
+Scores: [0.0003785052103921771]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.9835085868835449]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001689045748207718]
+Labels: ['Mental Health']
+Scores: [0.0002059646212728694]
+Labels: ['Diabetes type 1']
+Scores: [0.015762023627758026]
+Labels: ['Diabetes type 2']
+Scores: [0.007513164076954126]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39408565
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'TRPV Cation Channels', 'Receptors, Adrenergic, beta-2', 'Animals', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01352327223867178]
+Labels: ['Diabetes']
+Scores: [0.00020036053319927305]
+Labels: ['Cancer']
+Scores: [0.0001649645419092849]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9949206709861755]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021199294133111835]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.00033874742803163826]
+Labels: ['Diabetes type 2']
+Scores: [0.0003208165289834142]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39406209
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Northern Territory', 'Animals', 'Smoke', 'Turtles', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24880270659923553]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.23651424050331116]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011346690007485449]
+Labels: ['Mental Health']
+Scores: [0.0001314325927523896]
+Labels: ['Diabetes type 1']
+Scores: [0.0001525147963548079]
+Labels: ['Diabetes type 2']
+Scores: [0.00020577551913447678]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39395132
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Sarcopenia', 'Genome-Wide Association Study', 'Body Mass Index', 'Respiratory Tract Diseases', 'Male', 'Pulmonary Disease, Chronic Obstructive', 'Female', 'Smoking', 'Pneumoconiosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3388163149356842]
+Labels: ['Diabetes']
+Scores: [0.0003470124793238938]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.6826437711715698]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003270780434831977]
+Labels: ['Mental Health']
+Scores: [0.0001417736493749544]
+Labels: ['Diabetes type 1']
+Scores: [0.011745467782020569]
+Labels: ['Diabetes type 2']
+Scores: [0.007877085357904434]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39394579
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Japan', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Tobacco Products', 'Surveys and Questionnaires', 'Internet', 'Smoking', 'Hot Temperature', 'Aged', 'Young Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1065734252333641]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.013094053603708744]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00043976190499961376]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.005075209308415651]
+Labels: ['Diabetes type 2']
+Scores: [0.0025410105008631945]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39391315
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Liquid-Liquid Extraction', 'Signal Transduction', 'Phase Separation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04575200751423836]
+Labels: ['Diabetes']
+Scores: [0.00063631113152951]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.710593044757843]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00029073143377900124]
+Labels: ['Mental Health']
+Scores: [0.00012597066233865917]
+Labels: ['Diabetes type 1']
+Scores: [0.010027269832789898]
+Labels: ['Diabetes type 2']
+Scores: [0.00807361863553524]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39389134
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Particulate Matter', 'Aged', 'Humans', 'Air Pollutants', 'Risk Assessment', 'China', 'Air Pollution', 'Environmental Exposure', 'Fossil Fuels', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01195530965924263]
+Labels: ['Diabetes']
+Scores: [0.0025728391483426094]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.5162356495857239]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00046503928024321795]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.01701465994119644]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39384295
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Rain', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Global Health', 'Cause of Death', 'Mortality', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.095728300511837]
+Labels: ['Diabetes']
+Scores: [0.01418609730899334]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.04849331080913544]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00024110999947879463]
+Labels: ['Diabetes type 1']
+Scores: [0.055429644882678986]
+Labels: ['Diabetes type 2']
+Scores: [0.026378847658634186]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39384238
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Observational Studies as Topic', 'Respiratory Tract Diseases', 'Systematic Reviews as Topic', 'Walking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.37562495470046997]
+Labels: ['Diabetes']
+Scores: [0.3660924434661865]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3262805640697479]
+Labels: ['Cardiovascular diseases']
+Scores: [0.38860753178596497]
+Labels: ['Mental Health']
+Scores: [0.1459524780511856]
+Labels: ['Diabetes type 1']
+Scores: [0.38819387555122375]
+Labels: ['Diabetes type 2']
+Scores: [0.4001603424549103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39374569
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Saliva', 'Breath Tests', 'Respiratory Tract Diseases', 'Exhalation', 'Electrochemical Techniques', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02699616551399231]
+Labels: ['Diabetes']
+Scores: [0.008281967602670193]
+Labels: ['Cancer']
+Scores: [0.0003381327260285616]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7195841073989868]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00029248750070109963]
+Labels: ['Mental Health']
+Scores: [0.0004253887746017426]
+Labels: ['Diabetes type 1']
+Scores: [0.1931794285774231]
+Labels: ['Diabetes type 2']
+Scores: [0.13205598294734955]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39370174
+Predictions: ['Chronic respiratory disease', 'Mental Health']
+MeshTerm: ['Humans', 'Comorbidity', 'Mental Disorders', 'Respiratory Tract Diseases', 'Quality of Life', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03533436730504036]
+Labels: ['Diabetes']
+Scores: [0.0018735743360593915]
+Labels: ['Cancer']
+Scores: [0.0004676255048252642]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8153817653656006]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008390398579649627]
+Labels: ['Mental Health']
+Scores: [0.7078949809074402]
+Labels: ['Diabetes type 1']
+Scores: [0.018772916868329048]
+Labels: ['Diabetes type 2']
+Scores: [0.021804649382829666]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39370173
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mental Disorders', 'Tuberculosis, Pulmonary', 'Tuberculosis', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009399093105457723]
+Labels: ['Diabetes']
+Scores: [7.478461338905618e-05]
+Labels: ['Cancer']
+Scores: [8.001151581993327e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3523993194103241]
+Labels: ['Cardiovascular diseases']
+Scores: [8.195992995752022e-05]
+Labels: ['Mental Health']
+Scores: [0.011011532507836819]
+Labels: ['Diabetes type 1']
+Scores: [9.899486758513376e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00010031367128249258]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39366894
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Prenatal Exposure Delayed Effects', 'Smoking', 'Child', 'Infant, Newborn', 'Respiratory Tract Diseases', 'Adolescent', 'Maternal Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014405403286218643]
+Labels: ['Diabetes']
+Scores: [0.00022807133791502565]
+Labels: ['Cancer']
+Scores: [0.00021573399135377258]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2593511939048767]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00026334909489378333]
+Labels: ['Mental Health']
+Scores: [0.00025357326376251876]
+Labels: ['Diabetes type 1']
+Scores: [0.0009454387472942472]
+Labels: ['Diabetes type 2']
+Scores: [0.0006689445581287146]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39364938
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'United Kingdom', 'Veterinary Medicine', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031100329011678696]
+Labels: ['Diabetes']
+Scores: [9.425441385246813e-05]
+Labels: ['Cancer']
+Scores: [0.00011356649338267744]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021803544368594885]
+Labels: ['Cardiovascular diseases']
+Scores: [7.461021596100181e-05]
+Labels: ['Mental Health']
+Scores: [7.634225039510056e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00024870102060958743]
+Labels: ['Diabetes type 2']
+Scores: [0.00023618324485141784]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39362458
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Residence Characteristics', 'Aged', 'Mortality', 'Cities', 'Middle Aged', 'Aging', 'Cardiovascular Diseases', 'Male', 'Female', 'Neoplasms', 'Respiratory Tract Diseases', 'Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7652388215065002]
+Labels: ['Diabetes']
+Scores: [0.37239110469818115]
+Labels: ['Cancer']
+Scores: [0.9409814476966858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.903079092502594]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9852859377861023]
+Labels: ['Mental Health']
+Scores: [0.2718777358531952]
+Labels: ['Diabetes type 1']
+Scores: [0.7394026517868042]
+Labels: ['Diabetes type 2']
+Scores: [0.6933002471923828]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[3, 2], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39362179
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Pilot Projects', 'Aged', 'Male', 'Chronic Disease', 'Female', 'Exercise Therapy', 'Prospective Studies', 'Problem Solving', 'Physical Functional Performance', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005232410971075296]
+Labels: ['Diabetes']
+Scores: [9.353682980872691e-05]
+Labels: ['Cancer']
+Scores: [0.00010892214777413756]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9963410496711731]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015791850455570966]
+Labels: ['Mental Health']
+Scores: [0.00013844184286426753]
+Labels: ['Diabetes type 1']
+Scores: [0.00032857729820534587]
+Labels: ['Diabetes type 2']
+Scores: [0.00031674117781221867]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39353528
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Taiwan', 'Humans', 'Cardiovascular Diseases', 'Climate Change', 'Temperature', 'Middle Aged', 'Aged', 'Adult', 'Respiratory Tract Diseases', 'Male', 'Female', 'Seasons', 'Vulnerable Populations', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5158095955848694]
+Labels: ['Diabetes']
+Scores: [0.4631311893463135]
+Labels: ['Cancer']
+Scores: [0.05389082804322243]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9363412261009216]
+Labels: ['Cardiovascular diseases']
+Scores: [0.936827540397644]
+Labels: ['Mental Health']
+Scores: [0.040041301399469376]
+Labels: ['Diabetes type 1']
+Scores: [0.4891730546951294]
+Labels: ['Diabetes type 2']
+Scores: [0.46115392446517944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39354585
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Chemoradiotherapy', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0029139553662389517]
+Labels: ['Diabetes']
+Scores: [0.0001988986332435161]
+Labels: ['Cancer']
+Scores: [0.9932599663734436]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7334479093551636]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016162403335329145]
+Labels: ['Mental Health']
+Scores: [0.0001786117791198194]
+Labels: ['Diabetes type 1']
+Scores: [0.0016502238577231765]
+Labels: ['Diabetes type 2']
+Scores: [0.0009865615284070373]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39352090
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Slovakia', 'Occupational Diseases', 'Adult', 'Male', 'Female', 'Prevalence', 'Middle Aged', 'Agriculture', 'Occupational Exposure', 'Manufacturing Industry', 'Asthma, Occupational', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002888120012357831]
+Labels: ['Diabetes']
+Scores: [0.000429013540269807]
+Labels: ['Cancer']
+Scores: [0.00017077008669730276]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0032927533611655235]
+Labels: ['Cardiovascular diseases']
+Scores: [7.458882464561611e-05]
+Labels: ['Mental Health']
+Scores: [0.00012688044807873666]
+Labels: ['Diabetes type 1']
+Scores: [0.0005792587180621922]
+Labels: ['Diabetes type 2']
+Scores: [0.000505760486703366]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39348213
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['China', 'Air Pollutants', 'Humans', 'Bayes Theorem', 'Particulate Matter', 'Air Pollution', 'Respiratory Tract Diseases', 'Sulfur Dioxide', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005859524477273226]
+Labels: ['Diabetes']
+Scores: [0.0007060949574224651]
+Labels: ['Cancer']
+Scores: [0.00021437203395180404]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2366226613521576]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017187913181260228]
+Labels: ['Mental Health']
+Scores: [0.00019392726244404912]
+Labels: ['Diabetes type 1']
+Scores: [0.003166319103911519]
+Labels: ['Diabetes type 2']
+Scores: [0.002098723314702511]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338131
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Brazil', 'Humans', 'Male', 'Female', 'Mortality', 'Middle Aged', 'Adult', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Cardiovascular Diseases', 'Temperature', 'Hot Temperature', 'Aged, 80 and over', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15995368361473083]
+Labels: ['Diabetes']
+Scores: [0.010297078639268875]
+Labels: ['Cancer']
+Scores: [0.004940092097967863]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4724535644054413]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15103353559970856]
+Labels: ['Mental Health']
+Scores: [0.0023487641010433435]
+Labels: ['Diabetes type 1']
+Scores: [0.03614526614546776]
+Labels: ['Diabetes type 2']
+Scores: [0.030380776152014732]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39334540
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Italy', 'Child', 'Pesticides', 'Female', 'Male', 'Adolescent', 'Environmental Exposure', 'Surveys and Questionnaires', 'Risk Factors', 'Health Status', 'Logistic Models', 'Agriculture', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07231966406106949]
+Labels: ['Diabetes']
+Scores: [0.002427502768114209]
+Labels: ['Cancer']
+Scores: [0.001171796815469861]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3593570291996002]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004901062930002809]
+Labels: ['Mental Health']
+Scores: [0.0025775013491511345]
+Labels: ['Diabetes type 1']
+Scores: [0.03323526680469513]
+Labels: ['Diabetes type 2']
+Scores: [0.015375908464193344]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39332351
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Wildfires', 'Smoke', 'Occupational Exposure', 'Firefighters', 'Respiratory Tract Diseases', 'Respiratory Function Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1269787847995758]
+Labels: ['Diabetes']
+Scores: [0.013463957235217094]
+Labels: ['Cancer']
+Scores: [0.0005769837298430502]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6008363366127014]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002651010174304247]
+Labels: ['Mental Health']
+Scores: [0.00028583197854459286]
+Labels: ['Diabetes type 1']
+Scores: [0.06782834231853485]
+Labels: ['Diabetes type 2']
+Scores: [0.05158556252717972]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39331188
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'COVID-19', 'Glioma', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Adult', 'Aged', 'Brain Neoplasms', 'SEER Program', 'Young Adult', 'Pandemics', 'Respiratory Tract Diseases', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004006209783256054]
+Labels: ['Diabetes']
+Scores: [0.0005111224018037319]
+Labels: ['Cancer']
+Scores: [0.9662106037139893]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6483277678489685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017985045269597322]
+Labels: ['Mental Health']
+Scores: [0.00018260721117258072]
+Labels: ['Diabetes type 1']
+Scores: [0.0042312066070735455]
+Labels: ['Diabetes type 2']
+Scores: [0.003592917462810874]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39323116
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Vietnam', 'Male', 'Female', 'Prospective Studies', 'Infant', 'Infant, Newborn', 'Intensive Care Units, Pediatric', 'Infant, Premature', 'Critical Illness', 'Respiration, Artificial', 'Length of Stay', 'Child, Preschool', 'Respiratory Tract Diseases', 'Infant, Premature, Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0016813434194773436]
+Labels: ['Diabetes']
+Scores: [9.374150249641389e-05]
+Labels: ['Cancer']
+Scores: [0.00011631585221039131]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015507496427744627]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014975445810705423]
+Labels: ['Mental Health']
+Scores: [0.00012819585390388966]
+Labels: ['Diabetes type 1']
+Scores: [0.0005557872354984283]
+Labels: ['Diabetes type 2']
+Scores: [0.00025171510060317814]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316790
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'China', 'Male', 'Female', 'Middle Aged', 'Cohort Studies', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases', 'Aged', 'Air Pollutants', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10734277963638306]
+Labels: ['Diabetes']
+Scores: [0.0001486281689722091]
+Labels: ['Cancer']
+Scores: [0.0001518010103609413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6282768845558167]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015350694593507797]
+Labels: ['Mental Health']
+Scores: [0.00013316472177393734]
+Labels: ['Diabetes type 1']
+Scores: [0.0008467051084153354]
+Labels: ['Diabetes type 2']
+Scores: [0.0005291990819387138]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316681
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Mechanotransduction, Cellular', 'Stress, Mechanical', 'Extracellular Matrix', 'Respiratory Mechanics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003856358118355274]
+Labels: ['Diabetes']
+Scores: [0.00015130164683796465]
+Labels: ['Cancer']
+Scores: [0.0062952968291938305]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6057421565055847]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016141757078003138]
+Labels: ['Mental Health']
+Scores: [0.00019675260409712791]
+Labels: ['Diabetes type 1']
+Scores: [0.00034618322388269007]
+Labels: ['Diabetes type 2']
+Scores: [0.00029625516617670655]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39314792
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Air Pollutants', 'Particulate Matter', 'Respiratory Function Tests', 'Air Pollution', 'Nitrogen Dioxide', 'Environmental Exposure', 'Chronic Disease', 'Male', 'Forced Expiratory Volume', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0045439377427101135]
+Labels: ['Diabetes']
+Scores: [0.00023311305267270654]
+Labels: ['Cancer']
+Scores: [0.00018260341312270612]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9617099165916443]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001351539685856551]
+Labels: ['Mental Health']
+Scores: [0.00020976446103304625]
+Labels: ['Diabetes type 1']
+Scores: [0.0006705914274789393]
+Labels: ['Diabetes type 2']
+Scores: [0.0005064652068540454]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39304964
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bronchoscopy', 'Infant, Newborn', 'Retrospective Studies', 'Male', 'Female', 'Fiber Optic Technology', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005576298106461763]
+Labels: ['Diabetes']
+Scores: [0.00011441657989053056]
+Labels: ['Cancer']
+Scores: [0.00011411713785491884]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007975330809131265]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013737540575675666]
+Labels: ['Mental Health']
+Scores: [0.0001118108702939935]
+Labels: ['Diabetes type 1']
+Scores: [0.001839856500737369]
+Labels: ['Diabetes type 2']
+Scores: [0.0009109958191402256]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39293035
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Tract Diseases', 'Pediatrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003548320091795176]
+Labels: ['Diabetes']
+Scores: [6.230731378309429e-05]
+Labels: ['Cancer']
+Scores: [6.780577678000554e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0025918048340827227]
+Labels: ['Cardiovascular diseases']
+Scores: [8.676202560309321e-05]
+Labels: ['Mental Health']
+Scores: [6.465357000706717e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.024142541922629e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.743425183231011e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3226734399795532]
+Labels: ['Diabetes']
+Scores: [0.13455542922019958]
+Labels: ['Cancer']
+Scores: [0.003056788118556142]
+Labels: ['Chronic respiratory disease']
+Scores: [0.32266348600387573]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9979693293571472]
+Labels: ['Mental Health']
+Scores: [0.008176292292773724]
+Labels: ['Diabetes type 1']
+Scores: [0.6108852624893188]
+Labels: ['Diabetes type 2']
+Scores: [0.5617083311080933]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00359441083855927]
+Labels: ['Diabetes']
+Scores: [0.18788446485996246]
+Labels: ['Cancer']
+Scores: [0.1077457070350647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.756691575050354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8589568734169006]
+Labels: ['Mental Health']
+Scores: [0.0026237936690449715]
+Labels: ['Diabetes type 1']
+Scores: [0.36341992020606995]
+Labels: ['Diabetes type 2']
+Scores: [0.3594886362552643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005785834509879351]
+Labels: ['Diabetes']
+Scores: [0.0007441785419359803]
+Labels: ['Cancer']
+Scores: [0.00018268516578245908]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003992065030615777]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9855651259422302]
+Labels: ['Mental Health']
+Scores: [0.00036589030059985816]
+Labels: ['Diabetes type 1']
+Scores: [0.01056266576051712]
+Labels: ['Diabetes type 2']
+Scores: [0.010902912355959415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09157371520996094]
+Labels: ['Diabetes']
+Scores: [0.9960934519767761]
+Labels: ['Cancer']
+Scores: [0.00027023511938750744]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007464957889169455]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9952137470245361]
+Labels: ['Mental Health']
+Scores: [0.000261197128565982]
+Labels: ['Diabetes type 1']
+Scores: [0.00039189032395370305]
+Labels: ['Diabetes type 2']
+Scores: [0.9982272386550903]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014224804006516933]
+Labels: ['Diabetes']
+Scores: [0.0014210985973477364]
+Labels: ['Cancer']
+Scores: [0.0001271156215807423]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012124613567721099]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9851924180984497]
+Labels: ['Mental Health']
+Scores: [0.00012610550038516521]
+Labels: ['Diabetes type 1']
+Scores: [0.043248213827610016]
+Labels: ['Diabetes type 2']
+Scores: [0.03381958231329918]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10683859884738922]
+Labels: ['Diabetes']
+Scores: [0.005583230871707201]
+Labels: ['Cancer']
+Scores: [0.5009918212890625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012442338629625738]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6601688265800476]
+Labels: ['Mental Health']
+Scores: [7.422889757435769e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.05756402760744095]
+Labels: ['Diabetes type 2']
+Scores: [0.04710421711206436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014786738902330399]
+Labels: ['Diabetes']
+Scores: [0.08511444926261902]
+Labels: ['Cancer']
+Scores: [0.00018905663455370814]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024154539278242737]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9968394041061401]
+Labels: ['Mental Health']
+Scores: [0.00013143577962182462]
+Labels: ['Diabetes type 1']
+Scores: [0.25932177901268005]
+Labels: ['Diabetes type 2']
+Scores: [0.2638839781284332]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Aged', 'Depression', 'Longitudinal Studies', 'Social Support', 'Cognition', 'Risk Factors', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009779686108231544]
+Labels: ['Diabetes']
+Scores: [0.0013248195173218846]
+Labels: ['Cancer']
+Scores: [0.00044633119250647724]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000501922972034663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9959548115730286]
+Labels: ['Mental Health']
+Scores: [0.5599989891052246]
+Labels: ['Diabetes type 1']
+Scores: [0.0014582701260223985]
+Labels: ['Diabetes type 2']
+Scores: [0.003877178765833378]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24419668316841125]
+Labels: ['Diabetes']
+Scores: [0.3196665048599243]
+Labels: ['Cancer']
+Scores: [0.0018520375015214086]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16671262681484222]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9866985082626343]
+Labels: ['Mental Health']
+Scores: [0.0008838147623464465]
+Labels: ['Diabetes type 1']
+Scores: [0.6419703960418701]
+Labels: ['Diabetes type 2']
+Scores: [0.65582275390625]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5690861940383911]
+Labels: ['Diabetes']
+Scores: [0.007672034204006195]
+Labels: ['Cancer']
+Scores: [0.0013042888604104519]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0032466452103108168]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9892011880874634]
+Labels: ['Mental Health']
+Scores: [0.001986553892493248]
+Labels: ['Diabetes type 1']
+Scores: [0.05172409117221832]
+Labels: ['Diabetes type 2']
+Scores: [0.03984067961573601]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11078877747058868]
+Labels: ['Diabetes']
+Scores: [0.0032122982665896416]
+Labels: ['Cancer']
+Scores: [0.7883055806159973]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00038098200457170606]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20649303495883942]
+Labels: ['Mental Health']
+Scores: [0.000534844642970711]
+Labels: ['Diabetes type 1']
+Scores: [0.005367828067392111]
+Labels: ['Diabetes type 2']
+Scores: [0.0061061792075634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00120538379997015]
+Labels: ['Diabetes']
+Scores: [0.013050406239926815]
+Labels: ['Cancer']
+Scores: [0.0005799847422167659]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003942450857721269]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9900274872779846]
+Labels: ['Mental Health']
+Scores: [0.00015393666399177164]
+Labels: ['Diabetes type 1']
+Scores: [0.05633268505334854]
+Labels: ['Diabetes type 2']
+Scores: [0.04875282198190689]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024067183956503868]
+Labels: ['Diabetes']
+Scores: [0.005755018908530474]
+Labels: ['Cancer']
+Scores: [0.00040829594945535064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006966121029108763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.530116081237793]
+Labels: ['Mental Health']
+Scores: [0.001761549268849194]
+Labels: ['Diabetes type 1']
+Scores: [0.04980866238474846]
+Labels: ['Diabetes type 2']
+Scores: [0.03595481067895889]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0015353678027167916]
+Labels: ['Diabetes']
+Scores: [0.00024673170992173254]
+Labels: ['Cancer']
+Scores: [0.00020543939899653196]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002850530145224184]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001775454031303525]
+Labels: ['Mental Health']
+Scores: [0.0003367741301190108]
+Labels: ['Diabetes type 1']
+Scores: [0.0019999276846647263]
+Labels: ['Diabetes type 2']
+Scores: [0.0016786158084869385]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733208
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Female', 'Male', 'Cross-Sectional Studies', 'Apolipoproteins B', 'Cholesterol', 'Brazil', 'Genetic Predisposition to Disease', 'Risk Factors', 'Cardiovascular Diseases', 'Dyslipidemias', 'Apolipoprotein B-100', 'Polymorphism, Genetic', 'Alleles', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5959766507148743]
+Labels: ['Diabetes']
+Scores: [0.32455116510391235]
+Labels: ['Cancer']
+Scores: [0.017311330884695053]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04717244207859039]
+Labels: ['Cardiovascular diseases']
+Scores: [0.995197594165802]
+Labels: ['Mental Health']
+Scores: [0.052652083337306976]
+Labels: ['Diabetes type 1']
+Scores: [0.49980321526527405]
+Labels: ['Diabetes type 2']
+Scores: [0.4343831539154053]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Air Pollution', 'Air Pollutants', 'Iran', 'Meteorological Concepts', 'Particulate Matter', 'Seasons', 'Sulfur Dioxide', 'Climate Change', 'Weather', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5718479156494141]
+Labels: ['Diabetes']
+Scores: [0.07946369796991348]
+Labels: ['Cancer']
+Scores: [0.023072117939591408]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6853846907615662]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9624345302581787]
+Labels: ['Mental Health']
+Scores: [0.76580810546875]
+Labels: ['Diabetes type 1']
+Scores: [0.32450512051582336]
+Labels: ['Diabetes type 2']
+Scores: [0.2758285701274872]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.052058394998311996]
+Labels: ['Diabetes']
+Scores: [0.07458709180355072]
+Labels: ['Cancer']
+Scores: [0.02274234965443611]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03524653986096382]
+Labels: ['Cardiovascular diseases']
+Scores: [0.45169955492019653]
+Labels: ['Mental Health']
+Scores: [0.033380232751369476]
+Labels: ['Diabetes type 1']
+Scores: [0.10222901403903961]
+Labels: ['Diabetes type 2']
+Scores: [0.090845987200737]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733154
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Triglycerides', 'Arthritis', 'Blood Glucose', 'Nutrition Surveys', 'Risk Factors', 'Adult', 'Aged', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5221378207206726]
+Labels: ['Diabetes']
+Scores: [0.5432201623916626]
+Labels: ['Cancer']
+Scores: [0.1045728474855423]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18501074612140656]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8407793045043945]
+Labels: ['Mental Health']
+Scores: [0.0797107145190239]
+Labels: ['Diabetes type 1']
+Scores: [0.6182307600975037]
+Labels: ['Diabetes type 2']
+Scores: [0.5557462573051453]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733150
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Ethiopia', 'Humans', 'Cardiovascular Diseases', 'Drugs, Essential', 'Cross-Sectional Studies', 'Health Services Accessibility', 'Drugs, Generic', 'Drug Costs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6061108708381653]
+Labels: ['Diabetes']
+Scores: [0.02882014401257038]
+Labels: ['Cancer']
+Scores: [0.003082365496084094]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0628342255949974]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9778817296028137]
+Labels: ['Mental Health']
+Scores: [0.023469815030694008]
+Labels: ['Diabetes type 1']
+Scores: [0.18620291352272034]
+Labels: ['Diabetes type 2']
+Scores: [0.2377770096063614]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733137
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Manganese', 'Cardiovascular Diseases', 'Adult', 'Male', 'Female', 'Middle Aged', 'United States', 'Cross-Sectional Studies', 'Nutrition Surveys', 'Aged', 'Young Adult', 'Risk Factors', 'Bayes Theorem']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033197540789842606]
+Labels: ['Diabetes']
+Scores: [0.0913909375667572]
+Labels: ['Cancer']
+Scores: [0.0072688329964876175]
+Labels: ['Chronic respiratory disease']
+Scores: [0.032506346702575684]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8655471801757812]
+Labels: ['Mental Health']
+Scores: [0.0027273795567452908]
+Labels: ['Diabetes type 1']
+Scores: [0.10783623158931732]
+Labels: ['Diabetes type 2']
+Scores: [0.10459636896848679]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732966
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Dyslipidemias', 'Humans', 'Turkey', 'Delphi Technique', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cholesterol, LDL', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'PCSK9 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.26090723276138306]
+Labels: ['Diabetes']
+Scores: [0.044614989310503006]
+Labels: ['Cancer']
+Scores: [0.003154026111587882]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04462767392396927]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9913308024406433]
+Labels: ['Mental Health']
+Scores: [0.013213871978223324]
+Labels: ['Diabetes type 1']
+Scores: [0.1522710621356964]
+Labels: ['Diabetes type 2']
+Scores: [0.1900888830423355]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.043462928384542465]
+Labels: ['Diabetes']
+Scores: [0.9284846186637878]
+Labels: ['Cancer']
+Scores: [0.0004164945858065039]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012773884227499366]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9730817079544067]
+Labels: ['Mental Health']
+Scores: [0.0015529480297118425]
+Labels: ['Diabetes type 1']
+Scores: [0.553235650062561]
+Labels: ['Diabetes type 2']
+Scores: [0.7232629060745239]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Young Adult', 'Longitudinal Studies', 'Male', 'Adolescent', 'Female', 'Cardiovascular Diseases', 'Universities', 'Cardiometabolic Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19501584768295288]
+Labels: ['Diabetes']
+Scores: [0.46478644013404846]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.004244210664182901]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9392411708831787]
+Labels: ['Mental Health']
+Scores: [0.0013083298690617085]
+Labels: ['Diabetes type 1']
+Scores: [0.2758428752422333]
+Labels: ['Diabetes type 2']
+Scores: [0.41978058218955994]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732415
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Troponin T', 'Aged', 'Male', 'Female', 'Follow-Up Studies', 'Natriuretic Peptide, Brain', 'Cardiovascular Diseases', 'Aged, 80 and over', 'Biomarkers', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00986107625067234]
+Labels: ['Diabetes']
+Scores: [0.0035216128453612328]
+Labels: ['Cancer']
+Scores: [0.00014946451119612902]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012374353827908635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9942337870597839]
+Labels: ['Mental Health']
+Scores: [0.00018232212460134178]
+Labels: ['Diabetes type 1']
+Scores: [0.03900653496384621]
+Labels: ['Diabetes type 2']
+Scores: [0.036970771849155426]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.7396189570426941]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15910765528678894]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6245291829109192]
+Labels: ['Mental Health']
+Scores: [0.037352219223976135]
+Labels: ['Diabetes type 1']
+Scores: [0.1630648523569107]
+Labels: ['Diabetes type 2']
+Scores: [0.14339785277843475]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731858
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Myocardial Ischemia', 'Wearable Electronic Devices', 'Randomized Controlled Trials as Topic', 'Myocardial Infarction', 'Hospitalization', 'Cardiovascular Diseases', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008657039725221694]
+Labels: ['Diabetes']
+Scores: [0.00021415924129541963]
+Labels: ['Cancer']
+Scores: [7.978659414220601e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.815189696382731e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7545308470726013]
+Labels: ['Mental Health']
+Scores: [0.00029453900060616434]
+Labels: ['Diabetes type 1']
+Scores: [0.00257321004755795]
+Labels: ['Diabetes type 2']
+Scores: [0.002299811691045761]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731821
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Cardiovascular Diseases', 'Saliva', 'Lab-On-A-Chip Devices', 'Immunoassay', 'Interleukin-6', 'C-Reactive Protein', 'Equipment Design', 'Procalcitonin', 'Limit of Detection']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010392343392595649]
+Labels: ['Diabetes']
+Scores: [0.2522091269493103]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9938254952430725]
+Labels: ['Mental Health']
+Scores: [0.0003493376134429127]
+Labels: ['Diabetes type 1']
+Scores: [0.34555956721305847]
+Labels: ['Diabetes type 2']
+Scores: [0.384552001953125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bacteria', 'Biomarkers', 'Blood Glucose', 'Cardiometabolic Risk Factors', 'Cardiovascular Diseases', 'China', 'Cholesterol, HDL', 'Cholesterol, LDL', 'Cohort Studies', 'East Asian People', 'Feces', 'Gastrointestinal Microbiome', 'Indoleacetic Acids', 'Indoles', 'Propionates', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05768327787518501]
+Labels: ['Diabetes']
+Scores: [0.5255573391914368]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0018250896828249097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9237260818481445]
+Labels: ['Mental Health']
+Scores: [0.00014417478814721107]
+Labels: ['Diabetes type 1']
+Scores: [0.4178248643875122]
+Labels: ['Diabetes type 2']
+Scores: [0.4648943245410919]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007149915676563978]
+Labels: ['Diabetes']
+Scores: [0.5262488722801208]
+Labels: ['Cancer']
+Scores: [0.4006613492965698]
+Labels: ['Chronic respiratory disease']
+Scores: [0.034447889775037766]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9754387736320496]
+Labels: ['Mental Health']
+Scores: [0.0001517498167231679]
+Labels: ['Diabetes type 1']
+Scores: [0.4280615448951721]
+Labels: ['Diabetes type 2']
+Scores: [0.4462997317314148]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731058
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'United States', 'Middle Aged', 'Depression', 'Adult', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Aged', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05463600158691406]
+Labels: ['Diabetes']
+Scores: [0.0065498570911586285]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0004047986585646868]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8941851854324341]
+Labels: ['Mental Health']
+Scores: [0.683951199054718]
+Labels: ['Diabetes type 1']
+Scores: [0.007553062867373228]
+Labels: ['Diabetes type 2']
+Scores: [0.01599675975739956]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730958
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Triglycerides', 'Female', 'Middle Aged', 'Cardiovascular Diseases', 'Blood Glucose', 'Aged', 'Retrospective Studies', 'Cross-Sectional Studies', 'Atherosclerosis', 'China', 'Risk Factors', 'Longitudinal Studies', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29046979546546936]
+Labels: ['Diabetes']
+Scores: [0.5660119652748108]
+Labels: ['Cancer']
+Scores: [0.07775487750768661]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14075513184070587]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9899176359176636]
+Labels: ['Mental Health']
+Scores: [0.07813049852848053]
+Labels: ['Diabetes type 1']
+Scores: [0.647322952747345]
+Labels: ['Diabetes type 2']
+Scores: [0.619834840297699]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730871
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Genome-Wide Association Study', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Carotid Intima-Media Thickness', 'Genetic Pleiotropy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0015690242871642113]
+Labels: ['Diabetes']
+Scores: [0.11855355650186539]
+Labels: ['Cancer']
+Scores: [0.0002519835834391415]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003247070126235485]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8594845533370972]
+Labels: ['Mental Health']
+Scores: [0.00024026761821005493]
+Labels: ['Diabetes type 1']
+Scores: [0.0020788591355085373]
+Labels: ['Diabetes type 2']
+Scores: [0.6626271605491638]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730843
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Electrocardiography', 'Male', 'Female', 'Middle Aged', 'Smoking', 'Adult', 'Cotinine', 'Arrhythmias, Cardiac', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27810949087142944]
+Labels: ['Diabetes']
+Scores: [0.036869511008262634]
+Labels: ['Cancer']
+Scores: [0.020470652729272842]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10896874964237213]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9846752882003784]
+Labels: ['Mental Health']
+Scores: [0.012313277460634708]
+Labels: ['Diabetes type 1']
+Scores: [0.14323095977306366]
+Labels: ['Diabetes type 2']
+Scores: [0.11853232979774475]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730815
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chile', 'Male', 'Female', 'Exercise', 'Adult', 'Middle Aged', 'Depression', 'Cardiometabolic Risk Factors', 'Obesity', 'Prevalence', 'Overweight', 'Risk Factors', 'Aged', 'Young Adult', 'Cardiovascular Diseases', 'Waist Circumference', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6685311198234558]
+Labels: ['Diabetes']
+Scores: [0.6280481815338135]
+Labels: ['Cancer']
+Scores: [0.10545260459184647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.21806484460830688]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9628244042396545]
+Labels: ['Mental Health']
+Scores: [0.5668797492980957]
+Labels: ['Diabetes type 1']
+Scores: [0.538655161857605]
+Labels: ['Diabetes type 2']
+Scores: [0.584982693195343]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2889566719532013]
+Labels: ['Diabetes']
+Scores: [0.7591410875320435]
+Labels: ['Cancer']
+Scores: [0.013864251784980297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03257949277758598]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8526219725608826]
+Labels: ['Mental Health']
+Scores: [0.010639122687280178]
+Labels: ['Diabetes type 1']
+Scores: [0.47570931911468506]
+Labels: ['Diabetes type 2']
+Scores: [0.529563844203949]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02990737371146679]
+Labels: ['Diabetes']
+Scores: [0.02713940478861332]
+Labels: ['Cancer']
+Scores: [0.01412414200603962]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06882265955209732]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15863828361034393]
+Labels: ['Mental Health']
+Scores: [0.01864081807434559]
+Labels: ['Diabetes type 1']
+Scores: [0.033147163689136505]
+Labels: ['Diabetes type 2']
+Scores: [0.03314659744501114]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730152
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Cross-Sectional Studies', 'Dyslipidemias', 'Middle Aged', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Diet', 'Aged, 80 and over', 'Logistic Models', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007478164043277502]
+Labels: ['Diabetes']
+Scores: [0.04262809082865715]
+Labels: ['Cancer']
+Scores: [0.00016543730453122407]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001527953427284956]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9968981742858887]
+Labels: ['Mental Health']
+Scores: [0.0003566030354704708]
+Labels: ['Diabetes type 1']
+Scores: [0.10889103263616562]
+Labels: ['Diabetes type 2']
+Scores: [0.19529514014720917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729514
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Tobacco Smoke Pollution', 'Global Burden of Disease', 'Male', 'Female', 'Disability-Adjusted Life Years', 'Middle Aged', 'Global Health', 'Adult', 'Aged', 'Quality-Adjusted Life Years']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014182533137500286]
+Labels: ['Diabetes']
+Scores: [0.0004883508081547916]
+Labels: ['Cancer']
+Scores: [0.00010398790618637577]
+Labels: ['Chronic respiratory disease']
+Scores: [0.036889418959617615]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9848034977912903]
+Labels: ['Mental Health']
+Scores: [0.011037875898182392]
+Labels: ['Diabetes type 1']
+Scores: [0.0012632312718778849]
+Labels: ['Diabetes type 2']
+Scores: [0.002385675208643079]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729492
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'United States', 'Nutrition Surveys', 'Bayes Theorem', 'Environmental Exposure', 'Metals', 'Aged', 'Proportional Hazards Models', 'Cause of Death', 'Lead']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0017269416712224483]
+Labels: ['Diabetes']
+Scores: [0.0005694734863936901]
+Labels: ['Cancer']
+Scores: [0.00016319137648679316]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024849773035384715]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9911482334136963]
+Labels: ['Mental Health']
+Scores: [0.00011200101289432496]
+Labels: ['Diabetes type 1']
+Scores: [0.002856068778783083]
+Labels: ['Diabetes type 2']
+Scores: [0.002743176184594631]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729424
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Polymorphism, Single Nucleotide', 'Genome-Wide Association Study', 'Male', 'Female', 'Phenotype', 'Norway', 'Genetic Predisposition to Disease', 'Cardiovascular Diseases', 'Phenomics', 'Middle Aged', 'Linkage Disequilibrium', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27482476830482483]
+Labels: ['Diabetes']
+Scores: [0.4891376793384552]
+Labels: ['Cancer']
+Scores: [0.14382413029670715]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03618461638689041]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9960598945617676]
+Labels: ['Mental Health']
+Scores: [0.037887636572122574]
+Labels: ['Diabetes type 1']
+Scores: [0.5941803455352783]
+Labels: ['Diabetes type 2']
+Scores: [0.593634307384491]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727377
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Middle Aged', 'Blood Pressure', 'Renal Dialysis', 'Crystalloid Solutions', 'Osmotic Pressure', 'Aged', 'Kidney Failure, Chronic', 'Cardiovascular Diseases', 'Risk Factors', 'Adult', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011681032367050648]
+Labels: ['Diabetes']
+Scores: [0.00024446327006444335]
+Labels: ['Cancer']
+Scores: [0.00012824255099985749]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004974078387022018]
+Labels: ['Cardiovascular diseases']
+Scores: [0.031927596777677536]
+Labels: ['Mental Health']
+Scores: [0.000126554150483571]
+Labels: ['Diabetes type 1']
+Scores: [0.003583504818379879]
+Labels: ['Diabetes type 2']
+Scores: [0.002822018228471279]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020794682204723358]
+Labels: ['Diabetes']
+Scores: [0.9777117371559143]
+Labels: ['Cancer']
+Scores: [9.27570290514268e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001079635985661298]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9507409334182739]
+Labels: ['Mental Health']
+Scores: [0.00019014040299225599]
+Labels: ['Diabetes type 1']
+Scores: [0.9951798915863037]
+Labels: ['Diabetes type 2']
+Scores: [0.000248976080911234]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Glycogen Synthase Kinase 3 beta', 'Cardiovascular Diseases', 'Wnt Signaling Pathway', 'Animals', 'Adipose Tissue', 'beta Catenin', 'Metabolic Syndrome', 'Metabolic Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15930575132369995]
+Labels: ['Diabetes']
+Scores: [0.4711056053638458]
+Labels: ['Cancer']
+Scores: [0.008053038269281387]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011173530481755733]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9627922773361206]
+Labels: ['Mental Health']
+Scores: [0.007883266545832157]
+Labels: ['Diabetes type 1']
+Scores: [0.4137653708457947]
+Labels: ['Diabetes type 2']
+Scores: [0.4711996912956238]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0038264207541942596]
+Labels: ['Diabetes']
+Scores: [0.9905779957771301]
+Labels: ['Cancer']
+Scores: [0.00017093573114834726]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013930501881986856]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9899780750274658]
+Labels: ['Mental Health']
+Scores: [0.0001686585892457515]
+Labels: ['Diabetes type 1']
+Scores: [0.7062427997589111]
+Labels: ['Diabetes type 2']
+Scores: [0.7302912473678589]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725697
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Klotho Proteins', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prospective Studies', 'Adult', 'Nutrition Surveys', 'Aged', 'Cause of Death', 'Depression', 'Proportional Hazards Models', 'Mortality', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.34129083156585693]
+Labels: ['Diabetes']
+Scores: [0.15631842613220215]
+Labels: ['Cancer']
+Scores: [0.11707013100385666]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22271959483623505]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8433240056037903]
+Labels: ['Mental Health']
+Scores: [0.7119563817977905]
+Labels: ['Diabetes type 1']
+Scores: [0.3041055500507355]
+Labels: ['Diabetes type 2']
+Scores: [0.26045912504196167]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725339
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'beta Catenin', 'Cardiovascular Diseases', 'Receptors, Notch', 'Wnt Signaling Pathway']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006025142967700958]
+Labels: ['Diabetes']
+Scores: [0.05613761395215988]
+Labels: ['Cancer']
+Scores: [0.00028445280622690916]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005274972412735224]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9909795522689819]
+Labels: ['Mental Health']
+Scores: [0.0005387912970036268]
+Labels: ['Diabetes type 1']
+Scores: [0.15828287601470947]
+Labels: ['Diabetes type 2']
+Scores: [0.13837330043315887]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724625
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Ukraine', 'Middle Aged', 'Emergency Responders', 'Adult', 'Military Personnel', 'Electrocardiography', 'Radiation Exposure', 'Occupational Exposure', 'Hypertension', 'Echocardiography', 'Cardiovascular System', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04996516928076744]
+Labels: ['Diabetes']
+Scores: [0.0015974824782460928]
+Labels: ['Cancer']
+Scores: [0.00025021444889716804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001507285051047802]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9885174036026001]
+Labels: ['Mental Health']
+Scores: [0.00018305810226593167]
+Labels: ['Diabetes type 1']
+Scores: [0.0013770342338830233]
+Labels: ['Diabetes type 2']
+Scores: [0.001574927126057446]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9395077228546143]
+Labels: ['Diabetes']
+Scores: [0.21598200500011444]
+Labels: ['Cancer']
+Scores: [0.0013719385024160147]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2076088935136795]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3263680040836334]
+Labels: ['Mental Health']
+Scores: [0.008252960629761219]
+Labels: ['Diabetes type 1']
+Scores: [0.24853432178497314]
+Labels: ['Diabetes type 2']
+Scores: [0.1939517855644226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724119
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mental Disorders', 'Male', 'Adult', 'Female', 'Middle Aged', 'Schizophrenia', 'Mass Screening', 'Healthy Lifestyle', 'Occupational Therapy', 'Cardiovascular Diseases', 'Pilot Projects', 'Risk Factors', 'Physical Therapy Modalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25565439462661743]
+Labels: ['Diabetes']
+Scores: [0.09513264894485474]
+Labels: ['Cancer']
+Scores: [0.010861930437386036]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021040352061390877]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12478633970022202]
+Labels: ['Mental Health']
+Scores: [0.9802438616752625]
+Labels: ['Diabetes type 1']
+Scores: [0.1154111847281456]
+Labels: ['Diabetes type 2']
+Scores: [0.16163323819637299]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723980
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Delphi Technique', 'Fatty Liver', 'Mass Screening', 'Metabolic Syndrome', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.210953950881958]
+Labels: ['Diabetes']
+Scores: [0.7173545360565186]
+Labels: ['Cancer']
+Scores: [0.02464423142373562]
+Labels: ['Chronic respiratory disease']
+Scores: [0.29006901383399963]
+Labels: ['Cardiovascular diseases']
+Scores: [0.990790069103241]
+Labels: ['Mental Health']
+Scores: [0.02548551931977272]
+Labels: ['Diabetes type 1']
+Scores: [0.8732848763465881]
+Labels: ['Diabetes type 2']
+Scores: [0.8606382608413696]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39723782
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Risk Factors', 'SARS-CoV-2', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007051830762065947]
+Labels: ['Diabetes']
+Scores: [0.00016644378774799407]
+Labels: ['Cancer']
+Scores: [0.00012782434350810945]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0715782642364502]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9393912553787231]
+Labels: ['Mental Health']
+Scores: [0.0001282552257180214]
+Labels: ['Diabetes type 1']
+Scores: [0.0010098316706717014]
+Labels: ['Diabetes type 2']
+Scores: [0.0006573058781214058]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723699
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Female', 'Male', 'Middle Aged', 'Obesity', 'Cohort Studies', 'Cardiovascular Diseases', 'China', 'Body Mass Index', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011611314490437508]
+Labels: ['Diabetes']
+Scores: [0.30432525277137756]
+Labels: ['Cancer']
+Scores: [0.0002952080685645342]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003445570357143879]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8165881037712097]
+Labels: ['Mental Health']
+Scores: [0.0003280728997197002]
+Labels: ['Diabetes type 1']
+Scores: [0.28466978669166565]
+Labels: ['Diabetes type 2']
+Scores: [0.34504327178001404]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722803
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Testosterone', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Triglycerides', 'Nutrition Surveys', 'Insulin Resistance', 'Cholesterol, HDL', 'Aged', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005394619889557362]
+Labels: ['Diabetes']
+Scores: [0.3480065166950226]
+Labels: ['Cancer']
+Scores: [0.0007879210170358419]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008994241361506283]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8779081106185913]
+Labels: ['Mental Health']
+Scores: [0.00023072314797900617]
+Labels: ['Diabetes type 1']
+Scores: [0.20944225788116455]
+Labels: ['Diabetes type 2']
+Scores: [0.21212732791900635]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722158
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Comorbidity', 'Kidney Diseases', 'Masked Hypertension', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005105806048959494]
+Labels: ['Diabetes']
+Scores: [0.0011986856115981936]
+Labels: ['Cancer']
+Scores: [0.0003435554390307516]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002896029327530414]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8470960259437561]
+Labels: ['Mental Health']
+Scores: [0.0013983985409140587]
+Labels: ['Diabetes type 1']
+Scores: [0.004987275693565607]
+Labels: ['Diabetes type 2']
+Scores: [0.01664038561284542]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721760
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Administration, Inhalation', 'Bronchodilator Agents', 'Cardiovascular Diseases', 'England', 'Adrenal Cortex Hormones', 'Middle Aged', 'Heart Failure', 'Acute Coronary Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008054549107328057]
+Labels: ['Diabetes']
+Scores: [0.00031284920987673104]
+Labels: ['Cancer']
+Scores: [7.030541019048542e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8677816987037659]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8153599500656128]
+Labels: ['Mental Health']
+Scores: [8.011122554307804e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016723691078368574]
+Labels: ['Diabetes type 2']
+Scores: [0.0002739334886427969]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721361
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Sleep Apnea, Obstructive', 'Humans', 'Cardiovascular Diseases', 'China', 'Consensus', 'Risk Factors', 'Delphi Technique', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1456567496061325]
+Labels: ['Diabetes']
+Scores: [0.05005091056227684]
+Labels: ['Cancer']
+Scores: [0.002255316823720932]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5634685754776001]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9911531209945679]
+Labels: ['Mental Health']
+Scores: [0.006488942075520754]
+Labels: ['Diabetes type 1']
+Scores: [0.40689727663993835]
+Labels: ['Diabetes type 2']
+Scores: [0.3822472095489502]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004325364250689745]
+Labels: ['Diabetes']
+Scores: [0.9584254026412964]
+Labels: ['Cancer']
+Scores: [0.00026003390667028725]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00037682667607441545]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9141993522644043]
+Labels: ['Mental Health']
+Scores: [0.00012023490126011893]
+Labels: ['Diabetes type 1']
+Scores: [0.0004752440145239234]
+Labels: ['Diabetes type 2']
+Scores: [0.9938207268714905]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719690
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Neoplasms', 'Cardiovascular Diseases', 'Prognosis', 'Risk Factors', 'Antineoplastic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0076708802953362465]
+Labels: ['Diabetes']
+Scores: [0.0012418287806212902]
+Labels: ['Cancer']
+Scores: [0.9684909582138062]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015491627855226398]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7938373684883118]
+Labels: ['Mental Health']
+Scores: [0.0012051955563947558]
+Labels: ['Diabetes type 1']
+Scores: [0.022717738524079323]
+Labels: ['Diabetes type 2']
+Scores: [0.02239225059747696]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719674
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Regenerative Medicine', 'Myocytes, Cardiac', 'Carbon', 'Cell Differentiation', 'Animals', 'Quantum Dots', 'Pluripotent Stem Cells', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01907687820494175]
+Labels: ['Diabetes']
+Scores: [0.006026164628565311]
+Labels: ['Cancer']
+Scores: [0.0003016687114723027]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017732129199430346]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9140786528587341]
+Labels: ['Mental Health']
+Scores: [0.00014510856999550015]
+Labels: ['Diabetes type 1']
+Scores: [0.04512977600097656]
+Labels: ['Diabetes type 2']
+Scores: [0.03790070861577988]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719571
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Nutrition Surveys', 'Adult', 'United States', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Young Adult', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8207996487617493]
+Labels: ['Diabetes']
+Scores: [0.6111735701560974]
+Labels: ['Cancer']
+Scores: [0.07054702937602997]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2413959950208664]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9944472908973694]
+Labels: ['Mental Health']
+Scores: [0.23253875970840454]
+Labels: ['Diabetes type 1']
+Scores: [0.8395864963531494]
+Labels: ['Diabetes type 2']
+Scores: [0.7954170107841492]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719456
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Neoplasms', 'Male', 'Female', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Middle Aged', 'Risk Factors', 'Aged', 'Nutrition Surveys', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6503139138221741]
+Labels: ['Diabetes']
+Scores: [0.13781192898750305]
+Labels: ['Cancer']
+Scores: [0.9453338384628296]
+Labels: ['Chronic respiratory disease']
+Scores: [0.45864617824554443]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9911360144615173]
+Labels: ['Mental Health']
+Scores: [0.05152212083339691]
+Labels: ['Diabetes type 1']
+Scores: [0.4216323792934418]
+Labels: ['Diabetes type 2']
+Scores: [0.3413260877132416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719431
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asian', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prevalence', 'Adult', 'Aged', 'Sleep', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Cross-Sectional Studies', 'Health Surveys', 'Sleep Duration']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010390350362285972]
+Labels: ['Diabetes']
+Scores: [9.312480688095093e-05]
+Labels: ['Cancer']
+Scores: [6.262146052904427e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003867765481118113]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8858277201652527]
+Labels: ['Mental Health']
+Scores: [0.0001201769191538915]
+Labels: ['Diabetes type 1']
+Scores: [0.0006132741691544652]
+Labels: ['Diabetes type 2']
+Scores: [0.00046673044562339783]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719421
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Assessment', 'Risk Factors', 'Potassium', 'Aged, 80 and over', 'Arrhythmias, Cardiac', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004292760044336319]
+Labels: ['Diabetes']
+Scores: [0.0007163668633438647]
+Labels: ['Cancer']
+Scores: [0.00017702305922284722]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003711936587933451]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2136191725730896]
+Labels: ['Mental Health']
+Scores: [0.00017318919708486646]
+Labels: ['Diabetes type 1']
+Scores: [0.00043655879562720656]
+Labels: ['Diabetes type 2']
+Scores: [0.003931863233447075]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719405
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Adult', 'Nutrition Surveys', 'Chronic Disease', 'United States', 'Cardiovascular Diseases', 'Aged', 'Health Status', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07996326684951782]
+Labels: ['Diabetes']
+Scores: [0.3926257789134979]
+Labels: ['Cancer']
+Scores: [0.011738188564777374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11508095264434814]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9770981669425964]
+Labels: ['Mental Health']
+Scores: [0.008173573762178421]
+Labels: ['Diabetes type 1']
+Scores: [0.4025563895702362]
+Labels: ['Diabetes type 2']
+Scores: [0.41841140389442444]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719315
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Neoplasms', 'Male', 'Nephrectomy', 'Female', 'Middle Aged', 'Propensity Score', 'Aged', 'Retrospective Studies', 'Cardiovascular Diseases', 'Risk Factors', 'Carcinoma, Renal Cell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13155093789100647]
+Labels: ['Diabetes']
+Scores: [0.008020437322556973]
+Labels: ['Cancer']
+Scores: [0.9507043361663818]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0033343499526381493]
+Labels: ['Cardiovascular diseases']
+Scores: [0.981765866279602]
+Labels: ['Mental Health']
+Scores: [0.0043078018352389336]
+Labels: ['Diabetes type 1']
+Scores: [0.04098008573055267]
+Labels: ['Diabetes type 2']
+Scores: [0.017510494217276573]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02572653256356716]
+Labels: ['Diabetes']
+Scores: [0.9617035388946533]
+Labels: ['Cancer']
+Scores: [0.00011837218335131183]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013998153735883534]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014640638255514205]
+Labels: ['Mental Health']
+Scores: [0.000125049045891501]
+Labels: ['Diabetes type 1']
+Scores: [0.36704206466674805]
+Labels: ['Diabetes type 2']
+Scores: [0.48534277081489563]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009495937265455723]
+Labels: ['Diabetes']
+Scores: [0.9928565621376038]
+Labels: ['Cancer']
+Scores: [0.1432272493839264]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017458040383644402]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11947950720787048]
+Labels: ['Mental Health']
+Scores: [0.000112510948383715]
+Labels: ['Diabetes type 1']
+Scores: [0.0004576770879793912]
+Labels: ['Diabetes type 2']
+Scores: [0.9966015815734863]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718412
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Tea', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'China', 'Aged, 80 and over', 'Longitudinal Studies', 'Proportional Hazards Models', 'Longevity', 'Mortality', 'Middle Aged', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16158108413219452]
+Labels: ['Diabetes']
+Scores: [0.1117510050535202]
+Labels: ['Cancer']
+Scores: [0.04227960854768753]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016181781888008118]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9538087844848633]
+Labels: ['Mental Health']
+Scores: [0.000915180949959904]
+Labels: ['Diabetes type 1']
+Scores: [0.24869273602962494]
+Labels: ['Diabetes type 2']
+Scores: [0.2802387773990631]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018516117706894875]
+Labels: ['Diabetes']
+Scores: [0.13297656178474426]
+Labels: ['Cancer']
+Scores: [0.0002071229973807931]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003189054550603032]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6680174469947815]
+Labels: ['Mental Health']
+Scores: [0.0002373545285081491]
+Labels: ['Diabetes type 1']
+Scores: [0.11679650098085403]
+Labels: ['Diabetes type 2']
+Scores: [0.7972084879875183]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717783
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Cardiovascular Diseases', 'Heart Disease Risk Factors', 'Periodontitis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2585024833679199]
+Labels: ['Diabetes']
+Scores: [0.043937161564826965]
+Labels: ['Cancer']
+Scores: [0.001083980780094862]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0033974654506891966]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9087764620780945]
+Labels: ['Mental Health']
+Scores: [0.08827491849660873]
+Labels: ['Diabetes type 1']
+Scores: [0.09028208255767822]
+Labels: ['Diabetes type 2']
+Scores: [0.39416074752807617]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717036
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Sweden', 'Middle Aged', 'Female', 'Cardiovascular Diseases', 'Aged', 'Aged, 80 and over', 'Incidence', 'Surveys and Questionnaires', 'Risk Factors', 'Sugar-Sweetened Beverages', 'Diet', 'Dietary Sugars']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04532397538423538]
+Labels: ['Diabetes']
+Scores: [0.46273231506347656]
+Labels: ['Cancer']
+Scores: [0.00046472932444885373]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04546021670103073]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9385272264480591]
+Labels: ['Mental Health']
+Scores: [0.00018374698993284255]
+Labels: ['Diabetes type 1']
+Scores: [0.3109283745288849]
+Labels: ['Diabetes type 2']
+Scores: [0.36362969875335693]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717032
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Obesity', 'Middle Aged', 'Adult', 'Retrospective Studies', 'Neoplasms', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Phenotype', 'Proportional Hazards Models', 'Risk Factors', 'Cause of Death', 'Aged', 'Age Factors', 'Body Mass Index', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0440133735537529]
+Labels: ['Diabetes']
+Scores: [0.10543794184923172]
+Labels: ['Cancer']
+Scores: [0.9085695743560791]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06755196303129196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9830076098442078]
+Labels: ['Mental Health']
+Scores: [0.001338501926511526]
+Labels: ['Diabetes type 1']
+Scores: [0.13383784890174866]
+Labels: ['Diabetes type 2']
+Scores: [0.12131551653146744]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008476244402118027]
+Labels: ['Diabetes']
+Scores: [0.849205493927002]
+Labels: ['Cancer']
+Scores: [0.0001710729266051203]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002113141817972064]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9813574552536011]
+Labels: ['Mental Health']
+Scores: [0.0001403002388542518]
+Labels: ['Diabetes type 1']
+Scores: [0.2464224100112915]
+Labels: ['Diabetes type 2']
+Scores: [0.8899586796760559]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715781
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Prospective Studies', 'Risk Factors', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Fatty Liver', 'Cause of Death', 'Metabolic Diseases', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3679373562335968]
+Labels: ['Diabetes']
+Scores: [0.33944377303123474]
+Labels: ['Cancer']
+Scores: [0.775799572467804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014963389839977026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9870511293411255]
+Labels: ['Mental Health']
+Scores: [0.31626495718955994]
+Labels: ['Diabetes type 1']
+Scores: [0.2953999638557434]
+Labels: ['Diabetes type 2']
+Scores: [0.28904587030410767]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715477
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Aged', 'Ischemic Attack, Transient', 'Middle Aged', 'Cardiovascular Diseases', 'Netherlands', 'Cohort Studies', 'Risk Factors', 'Aged, 80 and over', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07392667233943939]
+Labels: ['Diabetes']
+Scores: [0.00017014157492667437]
+Labels: ['Cancer']
+Scores: [0.00013839095481671393]
+Labels: ['Chronic respiratory disease']
+Scores: [7.540607475675642e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6285933256149292]
+Labels: ['Mental Health']
+Scores: [0.00022550408903043717]
+Labels: ['Diabetes type 1']
+Scores: [0.00041344930650666356]
+Labels: ['Diabetes type 2']
+Scores: [0.00047048169653862715]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08799426257610321]
+Labels: ['Diabetes']
+Scores: [0.861082136631012]
+Labels: ['Cancer']
+Scores: [0.0016184316482394934]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020157162100076675]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8134464621543884]
+Labels: ['Mental Health']
+Scores: [0.026337768882513046]
+Labels: ['Diabetes type 1']
+Scores: [0.7375321388244629]
+Labels: ['Diabetes type 2']
+Scores: [0.6345011591911316]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39714500
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Potassium', 'Risk Factors', 'Cardiovascular Diseases', 'Electrocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0029712619725614786]
+Labels: ['Diabetes']
+Scores: [0.0029185800813138485]
+Labels: ['Cancer']
+Scores: [0.00024336558999493718]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006762049160897732]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9913414716720581]
+Labels: ['Mental Health']
+Scores: [0.0004481918003875762]
+Labels: ['Diabetes type 1']
+Scores: [0.07361505925655365]
+Labels: ['Diabetes type 2']
+Scores: [0.06076322868466377]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Patient Care Team', 'Chronic Disease', 'Italy', 'Multimorbidity', 'Telemedicine', 'Cardiology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9612321257591248]
+Labels: ['Diabetes']
+Scores: [0.016607755795121193]
+Labels: ['Cancer']
+Scores: [0.0009516923455521464]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002209610684076324]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9968777298927307]
+Labels: ['Mental Health']
+Scores: [0.0018464396707713604]
+Labels: ['Diabetes type 1']
+Scores: [0.22449667751789093]
+Labels: ['Diabetes type 2']
+Scores: [0.23033882677555084]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714021
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Exercise', 'Life Style', 'Metabolic Syndrome', 'Primary Health Care', 'Risk Factors', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004660856910049915]
+Labels: ['Diabetes']
+Scores: [0.7695199251174927]
+Labels: ['Cancer']
+Scores: [0.00041162100387737155]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011980852577835321]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13704441487789154]
+Labels: ['Mental Health']
+Scores: [0.0007706139585934579]
+Labels: ['Diabetes type 1']
+Scores: [0.4068479537963867]
+Labels: ['Diabetes type 2']
+Scores: [0.4543578028678894]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39713140
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neoplasms', 'Lipid Peroxidation', 'Reperfusion Injury', 'Cardiovascular Diseases', 'Inflammatory Bowel Diseases', 'Alzheimer Disease', 'Iron', 'Acute Kidney Injury', 'Stroke', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2673802673816681]
+Labels: ['Diabetes']
+Scores: [0.9902749061584473]
+Labels: ['Cancer']
+Scores: [0.750139594078064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002321303589269519]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9706565737724304]
+Labels: ['Mental Health']
+Scores: [0.007933096028864384]
+Labels: ['Diabetes type 1']
+Scores: [0.547674834728241]
+Labels: ['Diabetes type 2']
+Scores: [0.5929426550865173]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39712314
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Incidence', 'Microclimate', 'China', 'Cerebrovascular Disorders', 'Meteorological Concepts', 'Temperature', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00928666815161705]
+Labels: ['Diabetes']
+Scores: [0.0008415398187935352]
+Labels: ['Cancer']
+Scores: [0.0001251447101822123]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003551817499101162]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9854820966720581]
+Labels: ['Mental Health']
+Scores: [0.0001869682891992852]
+Labels: ['Diabetes type 1']
+Scores: [0.022327737882733345]
+Labels: ['Diabetes type 2']
+Scores: [0.01082478929311037]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711839
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'South Africa', 'Tertiary Care Centers', 'Retrospective Studies', 'Adult', 'Male', 'Middle Aged', 'Magnetic Resonance Imaging', 'Young Adult', 'Aged', 'Cardiovascular Diseases', 'Adolescent', 'Hospitals, Public', 'Contrast Media', 'Aged, 80 and over', 'Heart Diseases', 'Child', 'Child, Preschool', 'Medical Audit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06410971283912659]
+Labels: ['Diabetes']
+Scores: [0.0009666042169556022]
+Labels: ['Cancer']
+Scores: [0.00011764781083911657]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022639628150500357]
+Labels: ['Cardiovascular diseases']
+Scores: [0.990350067615509]
+Labels: ['Mental Health']
+Scores: [0.00010700432176236063]
+Labels: ['Diabetes type 1']
+Scores: [0.033583104610443115]
+Labels: ['Diabetes type 2']
+Scores: [0.02655482105910778]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710789
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Neovascularization, Pathologic', 'Neoplasms', 'Inflammation', 'Cardiovascular Diseases', 'Animals', 'Neurodegenerative Diseases', 'Angiogenesis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8947725892066956]
+Labels: ['Diabetes']
+Scores: [0.9672070741653442]
+Labels: ['Cancer']
+Scores: [0.9646039009094238]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8288384079933167]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9796718955039978]
+Labels: ['Mental Health']
+Scores: [0.496358722448349]
+Labels: ['Diabetes type 1']
+Scores: [0.9739092588424683]
+Labels: ['Diabetes type 2']
+Scores: [0.9754839539527893]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 5], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39710702
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neurodegenerative Diseases', 'Cardiovascular Diseases', 'Neoplasms', 'Animals', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1446143239736557]
+Labels: ['Diabetes']
+Scores: [0.1638914942741394]
+Labels: ['Cancer']
+Scores: [0.9780447483062744]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10872703045606613]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9871802926063538]
+Labels: ['Mental Health']
+Scores: [0.008186649531126022]
+Labels: ['Diabetes type 1']
+Scores: [0.42360106110572815]
+Labels: ['Diabetes type 2']
+Scores: [0.412889301776886]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710576
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Middle Aged', 'Adult', 'Cross-Over Studies', 'Inflammation', 'Endotoxemia', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Diet', 'Polyphenols', 'Edible Grain', 'Feces', 'Bacteria', 'Fatty Acids, Omega-3', 'Dietary Fiber', 'Intestines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.46948379278182983]
+Labels: ['Diabetes']
+Scores: [0.5964002013206482]
+Labels: ['Cancer']
+Scores: [0.0029615440871566534]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003381601767614484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8932841420173645]
+Labels: ['Mental Health']
+Scores: [0.00259963097050786]
+Labels: ['Diabetes type 1']
+Scores: [0.6347663998603821]
+Labels: ['Diabetes type 2']
+Scores: [0.6651449203491211]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710465
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypersensitivity', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008123673498630524]
+Labels: ['Diabetes']
+Scores: [0.0017070826143026352]
+Labels: ['Cancer']
+Scores: [0.00016335677355527878]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007039949297904968]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9488006234169006]
+Labels: ['Mental Health']
+Scores: [0.00015536586579401046]
+Labels: ['Diabetes type 1']
+Scores: [0.019023742526769638]
+Labels: ['Diabetes type 2']
+Scores: [0.013455755077302456]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709856
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'China', 'Middle Aged', 'Ambulances', 'Aged', 'Adult', 'Emergency Medical Dispatch', 'Temperature', 'Incidence', 'Adolescent', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008001608774065971]
+Labels: ['Diabetes']
+Scores: [0.0014234830159693956]
+Labels: ['Cancer']
+Scores: [0.00010380344610894099]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003325486904941499]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9852520227432251]
+Labels: ['Mental Health']
+Scores: [0.00015582279593218118]
+Labels: ['Diabetes type 1']
+Scores: [0.021956805139780045]
+Labels: ['Diabetes type 2']
+Scores: [0.025438308715820312]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01899322308599949]
+Labels: ['Diabetes']
+Scores: [0.06069693714380264]
+Labels: ['Cancer']
+Scores: [0.9978786110877991]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024118951114360243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8065828084945679]
+Labels: ['Mental Health']
+Scores: [0.00020547884923871607]
+Labels: ['Diabetes type 1']
+Scores: [0.23762699961662292]
+Labels: ['Diabetes type 2']
+Scores: [0.82362300157547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709650
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Energy Metabolism', 'Lipid Metabolism', 'Signal Transduction', 'Stearic Acids', 'Stearoyl-CoA Desaturase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21173137426376343]
+Labels: ['Diabetes']
+Scores: [0.9448128342628479]
+Labels: ['Cancer']
+Scores: [0.11971091479063034]
+Labels: ['Chronic respiratory disease']
+Scores: [0.301174134016037]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8865435719490051]
+Labels: ['Mental Health']
+Scores: [0.17616192996501923]
+Labels: ['Diabetes type 1']
+Scores: [0.6767078042030334]
+Labels: ['Diabetes type 2']
+Scores: [0.6923770308494568]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709627
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Drug Therapy, Combination', 'Hyperlipidemias', 'Hypolipidemic Agents', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cardiovascular Diseases', 'Cholesterol, LDL', 'Animals', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04098552465438843]
+Labels: ['Diabetes']
+Scores: [0.299731582403183]
+Labels: ['Cancer']
+Scores: [0.0006469839136116207]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005282692611217499]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9922656416893005]
+Labels: ['Mental Health']
+Scores: [0.0003758506500162184]
+Labels: ['Diabetes type 1']
+Scores: [0.2534343898296356]
+Labels: ['Diabetes type 2']
+Scores: [0.33239468932151794]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709554
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Feces', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Proteomics', 'Middle Aged', 'Heart Failure', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Proteome', 'Bacteria', 'Risk Factors', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15856479108333588]
+Labels: ['Diabetes']
+Scores: [0.1562521606683731]
+Labels: ['Cancer']
+Scores: [0.0011166887125000358]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1168939545750618]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9730426073074341]
+Labels: ['Mental Health']
+Scores: [0.0027147706132382154]
+Labels: ['Diabetes type 1']
+Scores: [0.28949594497680664]
+Labels: ['Diabetes type 2']
+Scores: [0.2641103267669678]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012749302200973034]
+Labels: ['Diabetes']
+Scores: [0.833558201789856]
+Labels: ['Cancer']
+Scores: [0.0005990666686557233]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014937943778932095]
+Labels: ['Cardiovascular diseases']
+Scores: [0.687748908996582]
+Labels: ['Mental Health']
+Scores: [0.0025135590694844723]
+Labels: ['Diabetes type 1']
+Scores: [0.9305316805839539]
+Labels: ['Diabetes type 2']
+Scores: [0.000773539999499917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002289912197738886]
+Labels: ['Diabetes']
+Scores: [0.9729710221290588]
+Labels: ['Cancer']
+Scores: [0.0002040829713223502]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016614492051303387]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9571523070335388]
+Labels: ['Mental Health']
+Scores: [0.00013187997683417052]
+Labels: ['Diabetes type 1']
+Scores: [0.0004173043416813016]
+Labels: ['Diabetes type 2']
+Scores: [0.9953206777572632]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709369
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asthma', 'Male', 'Female', 'Adult', 'Middle Aged', 'Nutrition Surveys', 'Inflammation', 'Cause of Death', 'Cardiovascular Diseases', 'Aged', 'United States', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0017010895535349846]
+Labels: ['Diabetes']
+Scores: [8.649920346215367e-05]
+Labels: ['Cancer']
+Scores: [0.00010219633259112015]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9667269587516785]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011997944966424257]
+Labels: ['Mental Health']
+Scores: [0.00010227411985397339]
+Labels: ['Diabetes type 1']
+Scores: [8.114415686577559e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.406044798903167e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709364
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'Postoperative Complications', 'Cardiovascular Diseases', 'Abdomen', 'Risk Assessment', 'Nomograms', 'Retrospective Studies', 'Aged, 80 and over', 'Risk Factors', 'Predictive Value of Tests', 'ROC Curve', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006857884116470814]
+Labels: ['Diabetes']
+Scores: [0.024177584797143936]
+Labels: ['Cancer']
+Scores: [0.0003621158830355853]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003172792203258723]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9601595401763916]
+Labels: ['Mental Health']
+Scores: [0.00019471639825496823]
+Labels: ['Diabetes type 1']
+Scores: [0.2735261023044586]
+Labels: ['Diabetes type 2']
+Scores: [0.31086939573287964]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Insulin Resistance', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Sex Factors', 'Risk Factors', 'Cause of Death', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027835063636302948]
+Labels: ['Diabetes']
+Scores: [0.9688504338264465]
+Labels: ['Cancer']
+Scores: [0.00019261070701759309]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002756079484242946]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8043783903121948]
+Labels: ['Mental Health']
+Scores: [0.00013281282735988498]
+Labels: ['Diabetes type 1']
+Scores: [0.6843262314796448]
+Labels: ['Diabetes type 2']
+Scores: [0.6002590656280518]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008092641830444336]
+Labels: ['Diabetes']
+Scores: [0.502810537815094]
+Labels: ['Cancer']
+Scores: [0.0005391088780015707]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012380920816212893]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9288017153739929]
+Labels: ['Mental Health']
+Scores: [0.0001140538151958026]
+Labels: ['Diabetes type 1']
+Scores: [0.4067479968070984]
+Labels: ['Diabetes type 2']
+Scores: [0.5384241342544556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708590
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Sleep Apnea, Obstructive', 'Cardiovascular Diseases', 'Quality of Life', 'Heart Disease Risk Factors', 'Sex Factors', 'Risk Factors', 'Prevalence', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18852607905864716]
+Labels: ['Diabetes']
+Scores: [0.4299033284187317]
+Labels: ['Cancer']
+Scores: [0.0012442476581782103]
+Labels: ['Chronic respiratory disease']
+Scores: [0.39921846985816956]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7124893069267273]
+Labels: ['Mental Health']
+Scores: [0.044869981706142426]
+Labels: ['Diabetes type 1']
+Scores: [0.34924522042274475]
+Labels: ['Diabetes type 2']
+Scores: [0.37048959732055664]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708140
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Osteoarthritis', 'Middle Aged', 'Aged', 'Heart Disease Risk Factors', 'Prevalence', 'Hand Joints', 'Comorbidity', 'Cardiovascular Diseases', 'Hand Strength', 'Quality of Life', 'Risk Factors', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0018003899604082108]
+Labels: ['Diabetes']
+Scores: [0.001474627060815692]
+Labels: ['Cancer']
+Scores: [0.00010928912524832413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001125931812566705]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03207923099398613]
+Labels: ['Mental Health']
+Scores: [9.739564848132432e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0011652543907985091]
+Labels: ['Diabetes type 2']
+Scores: [0.0018918374553322792]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707266
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Vascular Stiffness', 'Breathing Exercises', 'Randomized Controlled Trials as Topic', 'Pulse Wave Analysis', 'Resistance Training', 'Cardiovascular Diseases', 'Exercise', 'Quality of Life', 'Respiratory Muscles', 'Aged', 'Ankle Brachial Index', 'Male', 'Exercise Therapy', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008204935118556023]
+Labels: ['Diabetes']
+Scores: [0.0006543133058585227]
+Labels: ['Cancer']
+Scores: [0.0006114745046943426]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9911590218544006]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3198843002319336]
+Labels: ['Mental Health']
+Scores: [0.0016338012646883726]
+Labels: ['Diabetes type 1']
+Scores: [0.0009354587527923286]
+Labels: ['Diabetes type 2']
+Scores: [0.0009941065218299627]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010754410177469254]
+Labels: ['Diabetes']
+Scores: [0.0002183027536375448]
+Labels: ['Cancer']
+Scores: [0.00015874867676757276]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00042943545849993825]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020490182214416564]
+Labels: ['Mental Health']
+Scores: [0.7578380107879639]
+Labels: ['Diabetes type 1']
+Scores: [0.0007850110996514559]
+Labels: ['Diabetes type 2']
+Scores: [0.0006864462629891932]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0011590643553063273]
+Labels: ['Diabetes']
+Scores: [6.583236972801387e-05]
+Labels: ['Cancer']
+Scores: [7.496462058043107e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004947724752128124]
+Labels: ['Cardiovascular diseases']
+Scores: [9.176000457955524e-05]
+Labels: ['Mental Health']
+Scores: [0.510924220085144]
+Labels: ['Diabetes type 1']
+Scores: [0.0002763923548627645]
+Labels: ['Diabetes type 2']
+Scores: [0.00022942358918953687]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025141187012195587]
+Labels: ['Diabetes']
+Scores: [0.00032908248249441385]
+Labels: ['Cancer']
+Scores: [0.00015878293197602034]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0034761298447847366]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003853440866805613]
+Labels: ['Mental Health']
+Scores: [0.3477274477481842]
+Labels: ['Diabetes type 1']
+Scores: [0.00392846018075943]
+Labels: ['Diabetes type 2']
+Scores: [0.0032792200800031424]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22883646190166473]
+Labels: ['Diabetes']
+Scores: [0.01036723144352436]
+Labels: ['Cancer']
+Scores: [0.006515771150588989]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13116654753684998]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02540341019630432]
+Labels: ['Mental Health']
+Scores: [0.9079731106758118]
+Labels: ['Diabetes type 1']
+Scores: [0.08389179408550262]
+Labels: ['Diabetes type 2']
+Scores: [0.09439677000045776]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006627720780670643]
+Labels: ['Diabetes']
+Scores: [0.00037600265932269394]
+Labels: ['Cancer']
+Scores: [0.00015881418948993087]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011086368467658758]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011119090777356178]
+Labels: ['Mental Health']
+Scores: [0.5120399594306946]
+Labels: ['Diabetes type 1']
+Scores: [0.001130252843722701]
+Labels: ['Diabetes type 2']
+Scores: [0.0005672082770615816]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003817568998783827]
+Labels: ['Diabetes']
+Scores: [0.00016276372480206192]
+Labels: ['Cancer']
+Scores: [0.00012546787911560386]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22759462893009186]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012745577259920537]
+Labels: ['Mental Health']
+Scores: [0.2930815815925598]
+Labels: ['Diabetes type 1']
+Scores: [0.00017298384045716375]
+Labels: ['Diabetes type 2']
+Scores: [0.0001493486197432503]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021883128210902214]
+Labels: ['Diabetes']
+Scores: [0.00015479153080377728]
+Labels: ['Cancer']
+Scores: [0.00011678283044602722]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11536817252635956]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015804228314664215]
+Labels: ['Mental Health']
+Scores: [0.2646898925304413]
+Labels: ['Diabetes type 1']
+Scores: [0.0005104088340885937]
+Labels: ['Diabetes type 2']
+Scores: [0.0005245994543656707]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0283698420971632]
+Labels: ['Diabetes']
+Scores: [0.0005328338593244553]
+Labels: ['Cancer']
+Scores: [0.00022539656492881477]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003680379828438163]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004052266594953835]
+Labels: ['Mental Health']
+Scores: [0.7998677492141724]
+Labels: ['Diabetes type 1']
+Scores: [0.004517725668847561]
+Labels: ['Diabetes type 2']
+Scores: [0.003958155866712332]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07140780240297318]
+Labels: ['Diabetes']
+Scores: [0.034634608775377274]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.04231197386980057]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007610313594341278]
+Labels: ['Mental Health']
+Scores: [0.858708918094635]
+Labels: ['Diabetes type 1']
+Scores: [0.0846528485417366]
+Labels: ['Diabetes type 2']
+Scores: [0.06427241116762161]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07540227472782135]
+Labels: ['Diabetes']
+Scores: [0.0025897868908941746]
+Labels: ['Cancer']
+Scores: [0.001057486399076879]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00992885883897543]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005459412350319326]
+Labels: ['Mental Health']
+Scores: [0.6298329830169678]
+Labels: ['Diabetes type 1']
+Scores: [0.015370199456810951]
+Labels: ['Diabetes type 2']
+Scores: [0.010780763812363148]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042933009564876556]
+Labels: ['Diabetes']
+Scores: [0.000400115066440776]
+Labels: ['Cancer']
+Scores: [0.00017966883024200797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2726127505302429]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005300445482134819]
+Labels: ['Mental Health']
+Scores: [0.8328242897987366]
+Labels: ['Diabetes type 1']
+Scores: [0.007014932576566935]
+Labels: ['Diabetes type 2']
+Scores: [0.006468760780990124]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0072858817875385284]
+Labels: ['Diabetes']
+Scores: [0.0018245221581310034]
+Labels: ['Cancer']
+Scores: [0.0011929981410503387]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006682352628558874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007170447497628629]
+Labels: ['Mental Health']
+Scores: [0.6370163559913635]
+Labels: ['Diabetes type 1']
+Scores: [0.01824556104838848]
+Labels: ['Diabetes type 2']
+Scores: [0.015599287115037441]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16968034207820892]
+Labels: ['Diabetes']
+Scores: [0.9694049954414368]
+Labels: ['Cancer']
+Scores: [0.0002377439959673211]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024098754511214793]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00041873485315591097]
+Labels: ['Mental Health']
+Scores: [0.0013594318879768252]
+Labels: ['Diabetes type 1']
+Scores: [0.9982675313949585]
+Labels: ['Diabetes type 2']
+Scores: [0.00033895717933773994]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15445001423358917]
+Labels: ['Diabetes']
+Scores: [0.0006628535338677466]
+Labels: ['Cancer']
+Scores: [0.00029644707683473825]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020285940263420343]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00047114977496676147]
+Labels: ['Mental Health']
+Scores: [0.9980193972587585]
+Labels: ['Diabetes type 1']
+Scores: [0.00348659697920084]
+Labels: ['Diabetes type 2']
+Scores: [0.0029075678903609514]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0035703894682228565]
+Labels: ['Diabetes']
+Scores: [7.389971142401919e-05]
+Labels: ['Cancer']
+Scores: [0.00011494239151943475]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003731137840077281]
+Labels: ['Cardiovascular diseases']
+Scores: [9.822528954828158e-05]
+Labels: ['Mental Health']
+Scores: [0.9757388830184937]
+Labels: ['Diabetes type 1']
+Scores: [8.096994133666158e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.912882185541093e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3078174293041229]
+Labels: ['Diabetes']
+Scores: [0.009308825246989727]
+Labels: ['Cancer']
+Scores: [0.0031654785852879286]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0851619616150856]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01276305876672268]
+Labels: ['Mental Health']
+Scores: [0.734311580657959]
+Labels: ['Diabetes type 1']
+Scores: [0.06855736672878265]
+Labels: ['Diabetes type 2']
+Scores: [0.06491053104400635]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17963963747024536]
+Labels: ['Diabetes']
+Scores: [0.20361080765724182]
+Labels: ['Cancer']
+Scores: [0.08706767857074738]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2813144624233246]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09024089574813843]
+Labels: ['Mental Health']
+Scores: [0.8025381565093994]
+Labels: ['Diabetes type 1']
+Scores: [0.37237653136253357]
+Labels: ['Diabetes type 2']
+Scores: [0.3544011116027832]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6019529700279236]
+Labels: ['Diabetes']
+Scores: [0.08124453574419022]
+Labels: ['Cancer']
+Scores: [0.019073953852057457]
+Labels: ['Chronic respiratory disease']
+Scores: [0.26301273703575134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08726935088634491]
+Labels: ['Mental Health']
+Scores: [0.9329810738563538]
+Labels: ['Diabetes type 1']
+Scores: [0.4207112491130829]
+Labels: ['Diabetes type 2']
+Scores: [0.36088812351226807]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008140845224261284]
+Labels: ['Diabetes']
+Scores: [0.0006090172682888806]
+Labels: ['Cancer']
+Scores: [0.00010450772970216349]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01221471093595028]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001726037880871445]
+Labels: ['Mental Health']
+Scores: [0.6495377421379089]
+Labels: ['Diabetes type 1']
+Scores: [0.01721842586994171]
+Labels: ['Diabetes type 2']
+Scores: [0.00777799915522337]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0048044780269265175]
+Labels: ['Diabetes']
+Scores: [9.36944197746925e-05]
+Labels: ['Cancer']
+Scores: [8.010640158317983e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18387863039970398]
+Labels: ['Cardiovascular diseases']
+Scores: [7.698913395870477e-05]
+Labels: ['Mental Health']
+Scores: [0.9737873077392578]
+Labels: ['Diabetes type 1']
+Scores: [0.0007591940811835229]
+Labels: ['Diabetes type 2']
+Scores: [0.0008635268313810229]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0623316615819931]
+Labels: ['Diabetes']
+Scores: [0.005133595317602158]
+Labels: ['Cancer']
+Scores: [0.9214333891868591]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1089567244052887]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018654345767572522]
+Labels: ['Mental Health']
+Scores: [0.9212275147438049]
+Labels: ['Diabetes type 1']
+Scores: [0.011615047231316566]
+Labels: ['Diabetes type 2']
+Scores: [0.013001232407987118]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6577435731887817]
+Labels: ['Diabetes']
+Scores: [7.989494042703882e-05]
+Labels: ['Cancer']
+Scores: [0.0007158869411796331]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010013764403993264]
+Labels: ['Cardiovascular diseases']
+Scores: [8.145013271132484e-05]
+Labels: ['Mental Health']
+Scores: [0.9445403218269348]
+Labels: ['Diabetes type 1']
+Scores: [0.00011982472642557696]
+Labels: ['Diabetes type 2']
+Scores: [0.000120146905828733]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Mental Health', 'Biomedical Research', 'Delphi Technique', 'Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00904822163283825]
+Labels: ['Diabetes']
+Scores: [0.00014599831774830818]
+Labels: ['Cancer']
+Scores: [0.00013963233504910022]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002585955080576241]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011341930803610012]
+Labels: ['Mental Health']
+Scores: [0.9897893071174622]
+Labels: ['Diabetes type 1']
+Scores: [0.00040025843190960586]
+Labels: ['Diabetes type 2']
+Scores: [0.0003375874657649547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726658
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Exercise', 'Self Report', 'Adolescent', 'Students', 'China', 'Child', 'Schools', 'Mental Health', 'Surveys and Questionnaires', 'Health Surveys', 'Sedentary Behavior', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07742953300476074]
+Labels: ['Diabetes']
+Scores: [0.04430614039301872]
+Labels: ['Cancer']
+Scores: [0.0010050046257674694]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05283210054039955]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14115066826343536]
+Labels: ['Mental Health']
+Scores: [0.6757334470748901]
+Labels: ['Diabetes type 1']
+Scores: [0.07288657128810883]
+Labels: ['Diabetes type 2']
+Scores: [0.042593471705913544]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726069
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Substance-Related Disorders', 'Middle Aged', 'Heart Transplantation', 'Heart-Assist Devices', 'Adult', 'Databases, Factual', 'Incidence', 'Mental Health', 'Quality of Life', 'Aged', 'Mental Disorders', 'Waiting Lists', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020427828654646873]
+Labels: ['Diabetes']
+Scores: [0.00876203365623951]
+Labels: ['Cancer']
+Scores: [0.00037480195169337094]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04762404412031174]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9731985926628113]
+Labels: ['Mental Health']
+Scores: [0.9449724555015564]
+Labels: ['Diabetes type 1']
+Scores: [0.037137504667043686]
+Labels: ['Diabetes type 2']
+Scores: [0.03695949539542198]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725888
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Pregnancy', 'Adult', 'Cross-Sectional Studies', 'Pregnancy, Unplanned', 'Parents', 'Mental Health', 'Reproductive Techniques, Assisted', 'Young Adult', 'Stress, Psychological', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2201278656721115]
+Labels: ['Diabetes']
+Scores: [0.011799377389252186]
+Labels: ['Cancer']
+Scores: [0.00039801441016606987]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002726253878790885]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012097657599952072]
+Labels: ['Mental Health']
+Scores: [0.9237390756607056]
+Labels: ['Diabetes type 1']
+Scores: [0.03858182951807976]
+Labels: ['Diabetes type 2']
+Scores: [0.02936835214495659]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725758
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'Pandemics', 'SARS-CoV-2', 'Japan', 'Male', 'Suicide', 'Female', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01014532707631588]
+Labels: ['Diabetes']
+Scores: [0.00016368055366910994]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.017058875411748886]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00024108582874760032]
+Labels: ['Mental Health']
+Scores: [0.9606223106384277]
+Labels: ['Diabetes type 1']
+Scores: [0.0004706360923592001]
+Labels: ['Diabetes type 2']
+Scores: [0.0005710629047825933]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724226
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Germany', 'Cross-Sectional Studies', 'Mental Health', 'Adult', 'Surveys and Questionnaires', 'Young Adult', 'Stress, Psychological', 'Students', 'Occupational Stress', 'Universities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031178347766399384]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.001959653338417411]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00024644829682074487]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0021496268454939127]
+Labels: ['Diabetes type 2']
+Scores: [0.0022463949862867594]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724125
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Stress Disorders, Post-Traumatic', 'Survivors', 'Middle Aged', 'Adult', 'Anxiety', 'Risk Factors', 'Depression', 'Prevalence', 'Aged', 'Comorbidity', 'Sex Factors', 'Sleep Initiation and Maintenance Disorders', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08220995217561722]
+Labels: ['Diabetes']
+Scores: [0.0536217987537384]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3590782582759857]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.22615474462509155]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724115
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Empathy', 'Global Health', 'Mental Health', 'Existentialism', 'Warfare']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6662378311157227]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.1585254818201065]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8221659660339355]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5631500482559204]
+Labels: ['Mental Health']
+Scores: [0.979188859462738]
+Labels: ['Diabetes type 1']
+Scores: [0.6481546759605408]
+Labels: ['Diabetes type 2']
+Scores: [0.5536656379699707]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724057
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Female', 'Humans', 'Male', 'Young Adult', 'COVID-19', 'Depression', 'East Asian People', 'Mental Health', 'Pandemics', 'Republic of Korea', 'Social Media']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06946630030870438]
+Labels: ['Diabetes']
+Scores: [0.04211283475160599]
+Labels: ['Cancer']
+Scores: [0.0018306864658370614]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7291182279586792]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004749820102006197]
+Labels: ['Mental Health']
+Scores: [0.8658930063247681]
+Labels: ['Diabetes type 1']
+Scores: [0.061294276267290115]
+Labels: ['Diabetes type 2']
+Scores: [0.04973647743463516]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722713
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Child, Preschool', 'Cross-Sectional Studies', 'China', 'Screen Time', 'Surveys and Questionnaires', 'Mental Health', 'Parents', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0405806303024292]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0008966714376583695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014975194062571973]
+Labels: ['Mental Health']
+Scores: [0.48212939500808716]
+Labels: ['Diabetes type 1']
+Scores: [0.02133394218981266]
+Labels: ['Diabetes type 2']
+Scores: [0.0108816958963871]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722022
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Loneliness', 'Adolescent', 'Male', 'Female', 'Cross-Sectional Studies', 'Urban Population', 'Young Adult', 'Adult', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18873153626918793]
+Labels: ['Diabetes']
+Scores: [0.0011699589667841792]
+Labels: ['Cancer']
+Scores: [0.0003625736862886697]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009836278855800629]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015370690962299705]
+Labels: ['Mental Health']
+Scores: [0.8473682403564453]
+Labels: ['Diabetes type 1']
+Scores: [0.0033167339861392975]
+Labels: ['Diabetes type 2']
+Scores: [0.003057018853724003]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720811
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Mental Health', 'China', 'Middle Aged', 'Adult', 'Emotions', 'Surveys and Questionnaires', 'Aged', 'Adolescent', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04232537001371384]
+Labels: ['Diabetes']
+Scores: [0.005135187413543463]
+Labels: ['Cancer']
+Scores: [0.00026605595485307276]
+Labels: ['Chronic respiratory disease']
+Scores: [0.038574524223804474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0045532905496656895]
+Labels: ['Mental Health']
+Scores: [0.9365279674530029]
+Labels: ['Diabetes type 1']
+Scores: [0.03433813899755478]
+Labels: ['Diabetes type 2']
+Scores: [0.030250800773501396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719817
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Hospitals, General', 'Psychiatry', 'Mental Health Services', 'Japan', 'Psychiatric Department, Hospital', 'Referral and Consultation', 'Mental Disorders', 'Surveys and Questionnaires', 'Mental Health', 'Psychiatrists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17420941591262817]
+Labels: ['Diabetes']
+Scores: [0.0021492650266736746]
+Labels: ['Cancer']
+Scores: [0.0005065975710749626]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07567516714334488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008703559637069702]
+Labels: ['Mental Health']
+Scores: [0.6619464755058289]
+Labels: ['Diabetes type 1']
+Scores: [0.008929564617574215]
+Labels: ['Diabetes type 2']
+Scores: [0.003004535799846053]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719755
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Humans', 'Ozone', 'Mental Health', 'Nitrogen Dioxide', 'Male', 'Female', 'Child', 'China', 'Air Pollutants', 'Environmental Exposure', 'Schools', 'Cross-Sectional Studies', 'Air Pollution', 'Students']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004327760078012943]
+Labels: ['Diabetes']
+Scores: [0.0007694663945585489]
+Labels: ['Cancer']
+Scores: [0.00020388657867442816]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18328630924224854]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010784619487822056]
+Labels: ['Mental Health']
+Scores: [0.00015888690541032702]
+Labels: ['Diabetes type 1']
+Scores: [0.014333553612232208]
+Labels: ['Diabetes type 2']
+Scores: [0.003138398751616478]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719653
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Capital', 'Students', 'Social Media', 'Japan', 'Universities', 'Male', 'Female', 'Young Adult', 'Mental Health', 'Adult', 'Loneliness', 'Health Status', 'Personality', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007249685586430132]
+Labels: ['Diabetes']
+Scores: [0.00017146440222859383]
+Labels: ['Cancer']
+Scores: [0.00017874178593046963]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010216492955805734]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012025071191601455]
+Labels: ['Mental Health']
+Scores: [0.26361528038978577]
+Labels: ['Diabetes type 1']
+Scores: [0.00014689716044813395]
+Labels: ['Diabetes type 2']
+Scores: [0.0001530372246634215]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716066
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Quality of Life', 'Pakistan', 'Myocardial Infarction', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Health Status', 'Risk Factors', 'Mental Health', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020772401243448257]
+Labels: ['Diabetes']
+Scores: [0.007159566041082144]
+Labels: ['Cancer']
+Scores: [0.00012263169628567994]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011418003850849345]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9874436259269714]
+Labels: ['Mental Health']
+Scores: [0.04725877195596695]
+Labels: ['Diabetes type 1']
+Scores: [0.000449212035164237]
+Labels: ['Diabetes type 2']
+Scores: [0.0008907285518944263]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715637
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Biomedical Research', 'Circadian Rhythm', 'Information Dissemination', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3270973563194275]
+Labels: ['Diabetes']
+Scores: [0.013066519983112812]
+Labels: ['Cancer']
+Scores: [0.004228225443512201]
+Labels: ['Chronic respiratory disease']
+Scores: [0.047779008746147156]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00503536919131875]
+Labels: ['Mental Health']
+Scores: [0.8697437047958374]
+Labels: ['Diabetes type 1']
+Scores: [0.12744338810443878]
+Labels: ['Diabetes type 2']
+Scores: [0.08802244067192078]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715235
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Colombia', 'Emigrants and Immigrants', 'Venezuela', 'Female', 'Male', 'United States', 'Child', 'Adult', 'Child Welfare', 'Parents', 'Stress, Psychological', 'Surveys and Questionnaires', 'Adolescent', 'Middle Aged', 'Mental Health', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22397124767303467]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.03502516821026802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4167117476463318]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.7887659668922424]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.3259327709674835]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Ukraine', 'Mental Health Services', 'Health Services Accessibility', 'Pandemics', 'Quality of Health Care', 'SARS-CoV-2', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019139379262924194]
+Labels: ['Diabetes']
+Scores: [0.00010096155165228993]
+Labels: ['Cancer']
+Scores: [0.00016754203534219414]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7735400199890137]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002330141724087298]
+Labels: ['Mental Health']
+Scores: [0.9552194476127625]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.000379343779059127]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714844
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Aged', 'England', 'Middle Aged', 'Longitudinal Studies', 'Personal Satisfaction', 'Cohort Studies', 'Depression', 'Mental Health', 'Health Status', 'Social Support', 'Health Behavior', 'Cluster Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03358505666255951]
+Labels: ['Diabetes']
+Scores: [0.11637113988399506]
+Labels: ['Cancer']
+Scores: [0.02870953269302845]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1415145844221115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20427043735980988]
+Labels: ['Mental Health']
+Scores: [0.1830427199602127]
+Labels: ['Diabetes type 1']
+Scores: [0.14773967862129211]
+Labels: ['Diabetes type 2']
+Scores: [0.12575650215148926]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713741
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Substance-Related Disorders', 'Social Stigma', 'Sexism', 'Mental Health', 'Racism', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.42745041847229004]
+Labels: ['Diabetes']
+Scores: [0.019519109278917313]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.03910990059375763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00365794962272048]
+Labels: ['Mental Health']
+Scores: [0.7022029757499695]
+Labels: ['Diabetes type 1']
+Scores: [0.11499911546707153]
+Labels: ['Diabetes type 2']
+Scores: [0.10897847265005112]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'China', 'Mental Health', 'Internet Use', 'Middle Aged', 'Residence Characteristics', 'Aged, 80 and over', 'Independent Living', 'Surveys and Questionnaires', 'Internet', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008227828075177968]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [8.278910536319017e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003524336207192391]
+Labels: ['Cardiovascular diseases']
+Scores: [9.136469452641904e-05]
+Labels: ['Mental Health']
+Scores: [0.5638936758041382]
+Labels: ['Diabetes type 1']
+Scores: [0.0022804851178079844]
+Labels: ['Diabetes type 2']
+Scores: [0.0017275806749239564]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712299
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Mental Health', 'Aged', 'Social Environment', 'Female', 'Male', 'Middle Aged', 'Residence Characteristics', 'Surveys and Questionnaires', 'Neighborhood Characteristics', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009582024067640305]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
+Scores: [0.45056813955307007]
+Labels: ['Diabetes type 1']
+Scores: [0.00959436222910881]
+Labels: ['Diabetes type 2']
+Scores: [0.008468013256788254]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711409
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Pilots', 'Aerospace Medicine', 'Mental Health', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005174041725695133]
+Labels: ['Diabetes']
+Scores: [0.00015757876099087298]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.0007439075270667672]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711341
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aerospace Medicine', 'Mental Health', 'Delphi Technique', 'Aviation', 'Research', 'Societies, Medical', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0275135338306427]
+Labels: ['Diabetes']
+Scores: [0.00042865838622674346]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.01230481918901205]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Scores: [0.0031508326064795256]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711028
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Refugees', 'Syria', 'Psychological Distress', 'Female', 'Jordan', 'Male', 'Follow-Up Studies', 'Child', 'Single-Blind Method', 'Stress Disorders, Post-Traumatic', 'Depression', 'Stress, Psychological', 'Behavior Therapy', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019341696053743362]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.00123971002176404]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0017301550833508372]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710807
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Cross-Sectional Studies', 'Female', 'Adult', 'Male', 'Workplace Violence', 'Burnout, Professional', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Nursing Staff, Hospital', 'Taiwan']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4279942810535431]
+Labels: ['Diabetes']
+Scores: [0.17530062794685364]
+Labels: ['Cancer']
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+Scores: [0.5234314203262329]
+Labels: ['Cardiovascular diseases']
+Scores: [0.215102419257164]
+Labels: ['Mental Health']
+Scores: [0.8497166633605957]
+Labels: ['Diabetes type 1']
+Scores: [0.41511407494544983]
+Labels: ['Diabetes type 2']
+Scores: [0.41725093126296997]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Quality of Life', 'Romania', 'Male', 'Female', 'Prospective Studies', 'Tuberculosis, Multidrug-Resistant', 'Middle Aged', 'Adult', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Surveys and Questionnaires', 'Aged', 'Cohort Studies', 'Longitudinal Studies', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2221808284521103]
+Labels: ['Diabetes']
+Scores: [0.0013255059020593762]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.7382861375808716]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004806885262951255]
+Labels: ['Mental Health']
+Scores: [0.47863367199897766]
+Labels: ['Diabetes type 1']
+Scores: [0.00771868322044611]
+Labels: ['Diabetes type 2']
+Scores: [0.007963591255247593]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710684
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Ontario', 'Pregnancy', 'Retrospective Studies', 'Adult', 'Social Class', 'Pregnancy Complications', 'Anxiety', 'Depression', 'Young Adult', 'Residence Characteristics', 'Mental Health', 'Cohort Studies', 'Educational Status', 'Mental Disorders', 'Income']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07969051599502563]
+Labels: ['Diabetes']
+Scores: [0.01931362971663475]
+Labels: ['Cancer']
+Scores: [0.0005049066385254264]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0030298400670289993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002905678120441735]
+Labels: ['Mental Health']
+Scores: [0.9306355118751526]
+Labels: ['Diabetes type 1']
+Scores: [0.09226122498512268]
+Labels: ['Diabetes type 2']
+Scores: [0.06496251374483109]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710634
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'United Kingdom', 'Adult', 'Cross-Sectional Studies', 'Mental Health', 'Domestic Violence', 'Middle Aged', 'Social Support', 'Resilience, Psychological', 'Pandemics', 'Young Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000533584039658308]
+Labels: ['Diabetes']
+Scores: [7.509137503802776e-05]
+Labels: ['Cancer']
+Scores: [0.00010553803440416232]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023137608543038368]
+Labels: ['Cardiovascular diseases']
+Scores: [9.378790127811953e-05]
+Labels: ['Mental Health']
+Scores: [0.9696802496910095]
+Labels: ['Diabetes type 1']
+Scores: [7.796768477419391e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.116307435557246e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710627
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Literacy', 'Adolescent', 'Anxiety', 'Depression', 'Mental Health', 'Health Education']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6293277144432068]
+Labels: ['Diabetes']
+Scores: [0.22901631891727448]
+Labels: ['Cancer']
+Scores: [0.13974031805992126]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3665875494480133]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2938072681427002]
+Labels: ['Mental Health']
+Scores: [0.9185916781425476]
+Labels: ['Diabetes type 1']
+Scores: [0.3418627679347992]
+Labels: ['Diabetes type 2']
+Scores: [0.33166569471359253]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710497
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'China', 'Aged', 'Risk Factors', 'Middle Aged', 'Depression', 'Longitudinal Studies', 'Health Status', 'Mental Health', 'Aged, 80 and over', 'Rural Population', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0997844785451889]
+Labels: ['Diabetes']
+Scores: [8.880830864654854e-05]
+Labels: ['Cancer']
+Scores: [7.923797238618135e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010415168071631342]
+Labels: ['Cardiovascular diseases']
+Scores: [9.539029997540638e-05]
+Labels: ['Mental Health']
+Scores: [0.9607210159301758]
+Labels: ['Diabetes type 1']
+Scores: [0.0001751739764586091]
+Labels: ['Diabetes type 2']
+Scores: [0.00019985872495453805]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710338
+Predictions: ['Cancer', 'Mental Health']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Adolescent', 'Young Adult', 'Female', 'Male', 'Internet-Based Intervention', 'Mindfulness', 'Adult', 'Emotional Regulation', 'Quality of Life', 'Mental Health', 'Depression', 'Neoplasms', 'Research Design', 'Adaptation, Psychological', 'Digital Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.351644903421402]
+Labels: ['Diabetes']
+Scores: [0.026866160333156586]
+Labels: ['Cancer']
+Scores: [0.9895802736282349]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006580526474863291]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.7859277725219727]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.15410254895687103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709458
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Child', 'Humans', 'Adaptation, Psychological', 'Child Behavior', 'Mental Disorders', 'Mental Health', 'Multicenter Studies as Topic', 'Norway', 'Parents', 'Pragmatic Clinical Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03658739849925041]
+Labels: ['Diabetes']
+Scores: [0.00012116338621126488]
+Labels: ['Cancer']
+Scores: [0.00014131655916571617]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014654548431281]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010406236833659932]
+Labels: ['Mental Health']
+Scores: [0.9859573841094971]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00036156686837784946]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709340
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Mental Health', 'Research Design', 'Outcome Assessment, Health Care', 'Mental Disorders', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029648255556821823]
+Labels: ['Diabetes']
+Scores: [0.0001823253114707768]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0005571174551732838]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.0013505957322195172]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709337
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sufentanil', 'Male', 'Cough', 'Female', 'Ketamine', 'Middle Aged', 'Prospective Studies', 'Adult', 'Anesthesia, General', 'Anesthetics, Intravenous', 'Mental Health', 'Double-Blind Method']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018941214308142662]
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+Scores: [0.00011580248246900737]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4659554064273834]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.8528649210929871]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0002412504400126636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709183
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Health Promotion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014620333909988403]
+Labels: ['Diabetes']
+Scores: [0.009538969956338406]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.05446439981460571]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.062456127256155014]
+Labels: ['Diabetes type 2']
+Scores: [0.05834163725376129]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709182
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'United States', "Women's Health", 'Racial Groups', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023823818191885948]
+Labels: ['Diabetes']
+Scores: [0.004159389529377222]
+Labels: ['Cancer']
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+Scores: [0.045698512345552444]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.7533882260322571]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.024555569514632225]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708948
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Asthma', 'Metals, Heavy', 'Male', 'Adult', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Republic of Korea', 'Mental Health', 'Suicidal Ideation', 'Environmental Exposure', 'Air Pollutants', 'Young Adult', 'Depression', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707472
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'General Practitioners', 'Self Care', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Burnout, Professional', 'Surveys and Questionnaires', 'Mental Health', 'Anxiety', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009413685649633408]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [8.675481512909755e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1286942958831787]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.027068324387073517]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706574
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Pregnancy', 'Perinatal Care', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08270668983459473]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.05980278551578522]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706486
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Binge Drinking', 'Male', 'Middle Aged', 'Spain', 'Longitudinal Studies', 'Health Behavior', 'Mental Health', 'Health Status', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03327326476573944]
+Labels: ['Diabetes']
+Scores: [0.05739783123135567]
+Labels: ['Cancer']
+Scores: [0.0008667989750392735]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.05025133863091469]
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+Labels: ['Diabetes type 2']
+Scores: [0.09155068546533585]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706485
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Support', 'Male', 'Female', 'Longitudinal Studies', 'Adult', 'Stress, Psychological', 'Middle Aged', 'Depressive Disorder, Major', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Young Adult', 'Aged', 'Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.051999956369400024]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.05651801824569702]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706484
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Ukraine', 'Armed Conflicts', 'Refugees']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07184235751628876]
+Labels: ['Diabetes']
+Scores: [0.0005539680714718997]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9767140746116638]
+Labels: ['Diabetes type 1']
+Scores: [0.00819874182343483]
+Labels: ['Diabetes type 2']
+Scores: [0.0064916149713099]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39705174
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Humans', 'Male', 'Young Adult', 'Adaptation, Psychological', 'Black or African American', 'HIV Infections', 'Interviews as Topic', 'Mental Health', 'Qualitative Research', 'Sexual and Gender Minorities', 'Social Stigma']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10477562993764877]
+Labels: ['Diabetes']
+Scores: [0.004000675864517689]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0018932982347905636]
+Labels: ['Mental Health']
+Scores: [0.8437718152999878]
+Labels: ['Diabetes type 1']
+Scores: [0.01812771148979664]
+Labels: ['Diabetes type 2']
+Scores: [0.019157830625772476]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39704003
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Diagnostic and Statistical Manual of Mental Disorders', 'International Classification of Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12698611617088318]
+Labels: ['Diabetes']
+Scores: [0.0014363800873979926]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0005305206286720932]
+Labels: ['Mental Health']
+Scores: [0.9571202397346497]
+Labels: ['Diabetes type 1']
+Scores: [0.026383785530924797]
+Labels: ['Diabetes type 2']
+Scores: [0.021160805597901344]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703482
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Adolescent', 'Mental Health', 'Reproductive Health', 'Sexual Behavior', 'Sexual Health', 'Menstruation', 'Health Knowledge, Attitudes, Practice']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14347994327545166]
+Labels: ['Diabetes']
+Scores: [0.002172571374103427]
+Labels: ['Cancer']
+Scores: [0.0008550080819986761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0031382101587951183]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001825605722842738]
+Labels: ['Mental Health']
+Scores: [0.7536280155181885]
+Labels: ['Diabetes type 1']
+Scores: [0.0386982187628746]
+Labels: ['Diabetes type 2']
+Scores: [0.02876868285238743]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703180
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Qualitative Research', 'Male', 'Female', 'Pharmacists', 'Adult', 'England', 'Middle Aged', 'Focus Groups', 'Mental Health', 'Community Pharmacy Services', 'Depression', 'Interviews as Topic', 'Professional Role', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12252780795097351]
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+Scores: [0.0015065786428749561]
+Labels: ['Cancer']
+Scores: [0.0009588563698343933]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0037781500723212957]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.02124813385307789]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Lebanon', 'Primary Health Care', 'Social Stigma', 'Qualitative Research', 'Mental Disorders', 'Male', 'Female', 'Attitude of Health Personnel', 'Health Personnel', 'Adult', 'Interviews as Topic', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.032356925308704376]
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+Scores: [0.005431747063994408]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.06740182638168335]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.8242110013961792]
+Labels: ['Diabetes type 1']
+Scores: [0.05786006152629852]
+Labels: ['Diabetes type 2']
+Scores: [0.05069718882441521]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39701588
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'COVID-19', 'Mental Health', 'Female', 'Male', 'Mental Health Services', 'United States', 'Child', 'Emotions', 'Telemedicine', 'Social Skills', 'School Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007597333751618862]
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+Labels: ['Cancer']
+Scores: [0.00010230336192762479]
+Labels: ['Chronic respiratory disease']
+Scores: [7.068566628731787e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.529835031367838e-05]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.00022331169748213142]
+Labels: ['Diabetes type 2']
+Scores: [0.0001504171232227236]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Machine Learning', 'Mental Health', 'Adult', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10877864807844162]
+Labels: ['Diabetes']
+Scores: [0.020485522225499153]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.11818113178014755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700155
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Mental Health', 'United Kingdom', 'Adolescent', 'Young Adult', 'Loneliness', 'Adult', 'Sex Factors', 'Pandemics', 'SARS-CoV-2', 'Longitudinal Studies', 'Aged', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.25121262669563293]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0003783490101341158]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699982
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Italy', 'Prospective Studies', 'COVID-19', 'Internship and Residency', 'Male', 'Female', 'Adult', 'Depression', 'Anxiety', 'Mental Health', 'Stress Disorders, Post-Traumatic', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699544
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Chikungunya Fever', 'Arthralgia', 'Middle Aged', 'Adult', 'Chronic Disease', 'Mental Health', 'Cross-Sectional Studies', 'Depression', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19097858667373657]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.0014965580776333809]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699441
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Brazil', 'Transgender Persons', 'Health Services Accessibility', 'Male', 'Female', 'Primary Health Care', 'National Health Programs', 'Interviews as Topic', 'Health Personnel', 'Health Services for Transgender Persons', 'Qualitative Research', 'Adult', 'Health Policy', 'Mental Health', 'Transsexualism', 'Young Adult', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699366
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Mental Health', 'Health Promotion', 'Occupational Health', 'Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.0018196324817836285]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697298
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Female', 'Humans', 'Male', 'China', 'COVID-19', 'East Asian People', 'Mental Disorders', 'Mental Health', 'Risk Factors', 'Students', 'Suicidal Ideation', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0021170570980757475]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.005582131445407867]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.00018313406326342374]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697006
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Services Accessibility', 'Health Literacy', 'Mexico', 'Female', 'Male', 'Adolescent', 'Child', 'Adult', 'Surveys and Questionnaires', 'Parents', 'Mental Health', 'Middle Aged', 'Health Behavior']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.01578627899289131]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696336
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Intimate Partner Violence', 'Female', 'Sex Offenses', 'Canada', 'Male', 'Transgender Persons', 'Surveys and Questionnaires', 'Crime Victims', 'Research', 'Stakeholder Participation', 'Mental Health', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.047819189727306366]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696264
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Ownership', 'Housing', 'Behavioral Risk Factor Surveillance System', 'Aged', 'United States', 'Mental Health', 'Prevalence', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0029049592558294535]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696245
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sudan', 'Cross-Sectional Studies', 'Child', 'Female', 'Adolescent', 'Male', 'Refugees', 'Mental Health', 'Surveys and Questionnaires', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12728780508041382]
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.001224792329594493]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696093
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Students', 'Universities', 'United Kingdom', 'Young Adult', 'Exercise', 'Cohort Studies', 'Life Style', 'Ethnicity', 'COVID-19', 'Health Behavior', 'Sex Factors', 'Adult', 'Adolescent', 'Body Mass Index', 'Diet', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.058661170303821564]
+Labels: ['Diabetes']
+Scores: [0.20178070664405823]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.2008582055568695]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695709
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Patient Selection', 'Mental Disorders', 'Mental Health', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007276360411196947]
+Labels: ['Diabetes']
+Scores: [0.0007303509046323597]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9492606520652771]
+Labels: ['Diabetes type 1']
+Scores: [0.003444826230406761]
+Labels: ['Diabetes type 2']
+Scores: [0.002989423694089055]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695633
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Adverse Childhood Experiences', 'Female', 'England', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Criminal Law', 'Health Status', 'Surveys and Questionnaires', 'Aged', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18008513748645782]
+Labels: ['Diabetes']
+Scores: [0.22001925110816956]
+Labels: ['Cancer']
+Scores: [0.0344470776617527]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1452467441558838]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023622673004865646]
+Labels: ['Mental Health']
+Scores: [0.32766586542129517]
+Labels: ['Diabetes type 1']
+Scores: [0.31237125396728516]
+Labels: ['Diabetes type 2']
+Scores: [0.2957049310207367]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Video Games', 'Universities', 'Mental Health', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0012322892434895039]
+Labels: ['Diabetes']
+Scores: [0.00019333104137331247]
+Labels: ['Cancer']
+Scores: [0.000171279811183922]
+Labels: ['Chronic respiratory disease']
+Scores: [8.358604100067168e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010873963037738577]
+Labels: ['Mental Health']
+Scores: [0.8401015996932983]
+Labels: ['Diabetes type 1']
+Scores: [0.0003121286863461137]
+Labels: ['Diabetes type 2']
+Scores: [0.00028703492716886103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695547
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Military Personnel', 'Female', 'Male', 'Cross-Sectional Studies', 'China', 'Adult', 'Stress Disorders, Post-Traumatic', 'COVID-19', 'Sleep Initiation and Maintenance Disorders', 'Prevalence', 'Young Adult', 'Depression', 'Anxiety', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Adolescent', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2798648178577423]
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+Scores: [0.0073405541479587555]
+Labels: ['Cancer']
+Scores: [0.0022472694981843233]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07493185251951218]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.03182448074221611]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695533
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Belgium', 'Male', 'Female', 'Multimorbidity', 'Middle Aged', 'Adult', 'Aged', 'Health Surveys', 'Mental Disorders', 'Quality of Life', 'Young Adult', 'Mental Health', 'Adolescent', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3208957016468048]
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+Scores: [0.16018319129943848]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4154045581817627]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.6511697769165039]
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+Labels: ['Diabetes type 2']
+Scores: [0.48920148611068726]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695518
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Military Personnel', 'Male', 'Social Support', 'Adult', 'Personal Satisfaction', 'Female', 'Mental Health', 'Depression', 'Longitudinal Studies', 'Young Adult', 'Surveys and Questionnaires', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009416558779776096]
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+Labels: ['Cancer']
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+Scores: [0.0025561917573213577]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0005339708877727389]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9837523102760315]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.4241795241832733]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695274
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Female', 'Male', 'Young Adult', 'Depression', 'Universities', 'China', 'Surveys and Questionnaires', 'Mental Health', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4634125232696533]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693620
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mobile Applications', 'Adult', 'Mental Health', 'Health Behavior', 'Life Style', 'Exercise', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02619524672627449]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9498348832130432]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.14514122903347015]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693599
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Adult', 'Middle Aged', 'Mental Health', 'Mental Disorders', 'Aged', 'Schizophrenia', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05165567621588707]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.003965148236602545]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691047
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Burnout, Professional', 'Mental Health', 'Organizational Culture', 'Leadership', 'Health Personnel', 'Job Satisfaction', 'Ontario']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000527900003362447]
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+Labels: ['Cancer']
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+Scores: [0.000252801226451993]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.00016185719869099557]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691046
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Canada', 'Mental Health', 'Occupational Health', 'Workplace', 'Health Personnel', 'Organizational Culture', 'Surveys and Questionnaires', 'Patient Safety', 'Safety Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02854541689157486]
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691045
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Health Personnel', 'Mental Health', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003503912012092769]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690437
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'South Australia', 'Housing', 'Male', 'Female', 'Adult', 'Middle Aged', 'Food Security', 'Health Status', 'Mental Health', 'Health Surveys', 'Socioeconomic Factors', 'Adolescent', 'Food Insecurity', 'Aged', 'Chronic Disease', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690123
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Adolescent Development', 'Young Adult', 'Adult', 'Child', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08595234155654907]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.011450341902673244]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mexico', 'Adolescent', 'Male', 'Female', 'Racism', 'Mental Disorders', 'Qualitative Research', 'Mental Health', 'Mental Health Services', 'Young Adult', 'Interviews as Topic', 'Health Services Accessibility', 'Urban Population', 'Urban Health', 'Indigenous Peoples', 'Patient Acceptance of Health Care']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
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+Scores: [0.9298686981201172]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.983073890209198]
+Labels: ['Diabetes type 2']
+Scores: [0.0004051682190038264]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4662487506866455]
+Labels: ['Diabetes']
+Scores: [0.9901838302612305]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.017151637002825737]
+Labels: ['Mental Health']
+Scores: [0.0014124778099358082]
+Labels: ['Diabetes type 1']
+Scores: [0.9991375207901001]
+Labels: ['Diabetes type 2']
+Scores: [0.0007657901151105762]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010837605223059654]
+Labels: ['Diabetes']
+Scores: [0.8844048976898193]
+Labels: ['Cancer']
+Scores: [9.009566565509886e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.755147428018972e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.645600999239832e-05]
+Labels: ['Mental Health']
+Scores: [0.00018610875122249126]
+Labels: ['Diabetes type 1']
+Scores: [0.9950006604194641]
+Labels: ['Diabetes type 2']
+Scores: [0.0001518113713245839]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015373053029179573]
+Labels: ['Diabetes']
+Scores: [0.8364366292953491]
+Labels: ['Cancer']
+Scores: [0.0001462731306673959]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001773262774804607]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00045100090210326016]
+Labels: ['Mental Health']
+Scores: [0.0001847564708441496]
+Labels: ['Diabetes type 1']
+Scores: [0.8637799024581909]
+Labels: ['Diabetes type 2']
+Scores: [0.7578571438789368]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2229151427745819]
+Labels: ['Diabetes']
+Scores: [0.856332540512085]
+Labels: ['Cancer']
+Scores: [0.000494038627948612]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006045855116099119]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00037472901749424636]
+Labels: ['Mental Health']
+Scores: [0.0013376143760979176]
+Labels: ['Diabetes type 1']
+Scores: [0.978442907333374]
+Labels: ['Diabetes type 2']
+Scores: [0.0008978192927315831]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733989
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Hypoglycemia', 'Male', 'Adult', 'Female', 'Blood Glucose', 'Hyperglycemia', 'Exercise', 'Child', 'Young Adult', 'Cohort Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Time Factors', 'Insulin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003176919650286436]
+Labels: ['Diabetes']
+Scores: [0.8546313643455505]
+Labels: ['Cancer']
+Scores: [0.00010529285646043718]
+Labels: ['Chronic respiratory disease']
+Scores: [9.371242776978761e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011872100731125101]
+Labels: ['Mental Health']
+Scores: [0.00011731497215805575]
+Labels: ['Diabetes type 1']
+Scores: [0.9771201014518738]
+Labels: ['Diabetes type 2']
+Scores: [0.00019153791072312742]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.039492230862379074]
+Labels: ['Diabetes']
+Scores: [0.9959800243377686]
+Labels: ['Cancer']
+Scores: [8.556358079658821e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.617041748948395e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00031530935666523874]
+Labels: ['Mental Health']
+Scores: [0.0002573322562966496]
+Labels: ['Diabetes type 1']
+Scores: [0.9980100989341736]
+Labels: ['Diabetes type 2']
+Scores: [0.35834234952926636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040705032646656036]
+Labels: ['Diabetes']
+Scores: [0.9951158165931702]
+Labels: ['Cancer']
+Scores: [0.000667302927467972]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003891156520694494]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004232388164382428]
+Labels: ['Mental Health']
+Scores: [0.0011735940352082253]
+Labels: ['Diabetes type 1']
+Scores: [0.9990516304969788]
+Labels: ['Diabetes type 2']
+Scores: [0.0007846404332667589]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16968034207820892]
+Labels: ['Diabetes']
+Scores: [0.9694049954414368]
+Labels: ['Cancer']
+Scores: [0.0002377439959673211]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024098754511214793]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00041873485315591097]
+Labels: ['Mental Health']
+Scores: [0.0013594318879768252]
+Labels: ['Diabetes type 1']
+Scores: [0.9982675313949585]
+Labels: ['Diabetes type 2']
+Scores: [0.00033895717933773994]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3468765318393707]
+Labels: ['Diabetes']
+Scores: [0.9408477544784546]
+Labels: ['Cancer']
+Scores: [0.00039387596189044416]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003621683572418988]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006834658561274409]
+Labels: ['Mental Health']
+Scores: [0.3900185227394104]
+Labels: ['Diabetes type 1']
+Scores: [0.9905060529708862]
+Labels: ['Diabetes type 2']
+Scores: [0.0004099974175915122]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042723238468170166]
+Labels: ['Diabetes']
+Scores: [0.9956982731819153]
+Labels: ['Cancer']
+Scores: [0.000691068999003619]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00034760654671117663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007613371126353741]
+Labels: ['Mental Health']
+Scores: [0.0017848911229521036]
+Labels: ['Diabetes type 1']
+Scores: [0.997687578201294]
+Labels: ['Diabetes type 2']
+Scores: [0.00021155782451387495]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.35199886560440063]
+Labels: ['Diabetes']
+Scores: [0.8321272730827332]
+Labels: ['Cancer']
+Scores: [0.00011961608834099025]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012637980398721993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005246369983069599]
+Labels: ['Mental Health']
+Scores: [0.00012699431681539863]
+Labels: ['Diabetes type 1']
+Scores: [0.9788223505020142]
+Labels: ['Diabetes type 2']
+Scores: [0.00016059409244917333]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006452004890888929]
+Labels: ['Diabetes']
+Scores: [0.9420599341392517]
+Labels: ['Cancer']
+Scores: [0.0011459332890808582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006310665630735457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0348878912627697]
+Labels: ['Mental Health']
+Scores: [0.0023641418665647507]
+Labels: ['Diabetes type 1']
+Scores: [0.9870463013648987]
+Labels: ['Diabetes type 2']
+Scores: [0.000243193338974379]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020794682204723358]
+Labels: ['Diabetes']
+Scores: [0.9777117371559143]
+Labels: ['Cancer']
+Scores: [9.27570290514268e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001079635985661298]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9507409334182739]
+Labels: ['Mental Health']
+Scores: [0.00019014040299225599]
+Labels: ['Diabetes type 1']
+Scores: [0.9951798915863037]
+Labels: ['Diabetes type 2']
+Scores: [0.000248976080911234]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0025022474583238363]
+Labels: ['Diabetes']
+Scores: [0.9028326272964478]
+Labels: ['Cancer']
+Scores: [0.016436874866485596]
+Labels: ['Chronic respiratory disease']
+Scores: [8.103774598566815e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013961907825432718]
+Labels: ['Mental Health']
+Scores: [0.00013314846728462726]
+Labels: ['Diabetes type 1']
+Scores: [0.6936506628990173]
+Labels: ['Diabetes type 2']
+Scores: [0.2722870111465454]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0740780159831047]
+Labels: ['Diabetes']
+Scores: [0.5947377681732178]
+Labels: ['Cancer']
+Scores: [0.002252694219350815]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005085912416689098]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001047709840349853]
+Labels: ['Mental Health']
+Scores: [0.0005534334341064095]
+Labels: ['Diabetes type 1']
+Scores: [0.8517065644264221]
+Labels: ['Diabetes type 2']
+Scores: [0.0006988038076087832]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01665640063583851]
+Labels: ['Diabetes']
+Scores: [0.9984936118125916]
+Labels: ['Cancer']
+Scores: [0.00018712913151830435]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00032069359440356493]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002779517963062972]
+Labels: ['Mental Health']
+Scores: [0.00013532355660572648]
+Labels: ['Diabetes type 1']
+Scores: [0.9985617995262146]
+Labels: ['Diabetes type 2']
+Scores: [0.000496795168146491]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007940924726426601]
+Labels: ['Diabetes']
+Scores: [0.9640058875083923]
+Labels: ['Cancer']
+Scores: [9.229340503225103e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.062079384922981e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018268817802891135]
+Labels: ['Mental Health']
+Scores: [9.117610898101702e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.688423752784729]
+Labels: ['Diabetes type 2']
+Scores: [0.6733457446098328]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001661876798607409]
+Labels: ['Diabetes']
+Scores: [0.9500496983528137]
+Labels: ['Cancer']
+Scores: [0.00016168861475307494]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016747861809562892]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019048193644266576]
+Labels: ['Mental Health']
+Scores: [0.0001313336251769215]
+Labels: ['Diabetes type 1']
+Scores: [0.5478042364120483]
+Labels: ['Diabetes type 2']
+Scores: [0.5427159667015076]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031922195106744766]
+Labels: ['Diabetes']
+Scores: [0.996049702167511]
+Labels: ['Cancer']
+Scores: [0.00022581468510907143]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002684917126316577]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008710931870155036]
+Labels: ['Mental Health']
+Scores: [0.00031493912683799863]
+Labels: ['Diabetes type 1']
+Scores: [0.999163031578064]
+Labels: ['Diabetes type 2']
+Scores: [0.00035358700552023947]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0026887464337050915]
+Labels: ['Diabetes']
+Scores: [0.9886859655380249]
+Labels: ['Cancer']
+Scores: [9.462299203732982e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.498571696691215e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.545389912091196e-05]
+Labels: ['Mental Health']
+Scores: [0.00018900749273598194]
+Labels: ['Diabetes type 1']
+Scores: [0.9989480376243591]
+Labels: ['Diabetes type 2']
+Scores: [0.00015715212794020772]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1289312243461609]
+Labels: ['Diabetes']
+Scores: [0.7859795689582825]
+Labels: ['Cancer']
+Scores: [0.00014429898874368519]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011133762018289417]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006164468359202147]
+Labels: ['Mental Health']
+Scores: [0.00039708014810457826]
+Labels: ['Diabetes type 1']
+Scores: [0.7226747870445251]
+Labels: ['Diabetes type 2']
+Scores: [0.7166236042976379]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715178
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Telemedicine', 'Child', 'Quality of Life', 'Rural Population', 'Child, Preschool', 'Parents', 'Mentoring', 'Occupational Therapy', 'Double-Blind Method', 'Pilot Projects', 'Glycated Hemoglobin', 'Self Efficacy', 'Adult', 'Parenting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14459948241710663]
+Labels: ['Diabetes']
+Scores: [0.9769487977027893]
+Labels: ['Cancer']
+Scores: [0.0006351206102408469]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011788604315370321]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0020529665052890778]
+Labels: ['Mental Health']
+Scores: [0.014112190343439579]
+Labels: ['Diabetes type 1']
+Scores: [0.9951080679893494]
+Labels: ['Diabetes type 2']
+Scores: [0.0003072644176427275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714936
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Aged', 'Male', 'Insulin Infusion Systems', 'Insulin', 'Cross-Over Studies', 'Aged, 80 and over', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Glycated Hemoglobin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0023922277614474297]
+Labels: ['Diabetes']
+Scores: [0.9929730296134949]
+Labels: ['Cancer']
+Scores: [0.00011121290299342945]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012171717389719561]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012620756751857698]
+Labels: ['Mental Health']
+Scores: [0.0003911034145858139]
+Labels: ['Diabetes type 1']
+Scores: [0.9982408285140991]
+Labels: ['Diabetes type 2']
+Scores: [0.00018059670401271433]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710861
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Cross-Sectional Studies', 'Child', 'Lipase', 'India', 'Amylases', 'Biomarkers', 'Young Adult', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Prognosis', 'Adult', 'Exocrine Pancreatic Insufficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.059212543070316315]
+Labels: ['Diabetes']
+Scores: [0.9558455944061279]
+Labels: ['Cancer']
+Scores: [0.00018451690266374499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00047127128345891833]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001055405824445188]
+Labels: ['Mental Health']
+Scores: [0.0006020058644935489]
+Labels: ['Diabetes type 1']
+Scores: [0.9908462762832642]
+Labels: ['Diabetes type 2']
+Scores: [0.00023939086531754583]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012749302200973034]
+Labels: ['Diabetes']
+Scores: [0.833558201789856]
+Labels: ['Cancer']
+Scores: [0.0005990666686557233]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014937943778932095]
+Labels: ['Cardiovascular diseases']
+Scores: [0.687748908996582]
+Labels: ['Mental Health']
+Scores: [0.0025135590694844723]
+Labels: ['Diabetes type 1']
+Scores: [0.9305316805839539]
+Labels: ['Diabetes type 2']
+Scores: [0.000773539999499917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708266
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats', 'Muscle, Skeletal', 'Drugs, Chinese Herbal', 'Insulin-Secreting Cells', 'Male', 'Adipose Tissue', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13841919600963593]
+Labels: ['Diabetes']
+Scores: [0.9949876070022583]
+Labels: ['Cancer']
+Scores: [0.00024824682623147964]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002854456542991102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010292251827195287]
+Labels: ['Mental Health']
+Scores: [0.00017808623670134693]
+Labels: ['Diabetes type 1']
+Scores: [0.998884379863739]
+Labels: ['Diabetes type 2']
+Scores: [0.0004958845092914999]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707866
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Pilot Projects', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Middle Aged', 'Cognitive Dysfunction', 'Adult', 'Early Diagnosis', 'Aged', 'Retina', 'Visual Field Tests', 'Diabetic Retinopathy', 'Fixation, Ocular', 'Neuropsychological Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2882317304611206]
+Labels: ['Diabetes']
+Scores: [0.994405210018158]
+Labels: ['Cancer']
+Scores: [0.0002113923546858132]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00026933514163829386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004816542787011713]
+Labels: ['Mental Health']
+Scores: [0.0005470013129524887]
+Labels: ['Diabetes type 1']
+Scores: [0.9985634088516235]
+Labels: ['Diabetes type 2']
+Scores: [0.00048062726273201406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707182
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Female', 'Child', 'Metabolomics', 'Adolescent', 'Metabolome', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Biomarkers', 'Metabolic Networks and Pathways', 'Machine Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02997766248881817]
+Labels: ['Diabetes']
+Scores: [0.880461573600769]
+Labels: ['Cancer']
+Scores: [0.0001329367805738002]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011272224219283089]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016239681281149387]
+Labels: ['Mental Health']
+Scores: [0.0001062550800270401]
+Labels: ['Diabetes type 1']
+Scores: [0.030079422518610954]
+Labels: ['Diabetes type 2']
+Scores: [0.027673019096255302]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706675
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Retrospective Studies', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1', 'Blood Glucose', 'Hypoglycemic Agents', 'Risk Factors', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01146785169839859]
+Labels: ['Diabetes']
+Scores: [0.9555004835128784]
+Labels: ['Cancer']
+Scores: [0.00010839880997082219]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014087691670283675]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002920580154750496]
+Labels: ['Mental Health']
+Scores: [0.00021885751630179584]
+Labels: ['Diabetes type 1']
+Scores: [0.000293211720418185]
+Labels: ['Diabetes type 2']
+Scores: [0.9908052086830139]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706641
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats, Wistar', 'Diabetic Neuropathies', 'NF-kappa B', 'Male', 'Diabetes Mellitus, Experimental', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 1', 'Streptozocin', 'Gabapentin', 'Glycation End Products, Advanced', 'Signal Transduction', 'Rats', 'Oxidative Stress', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.40680497884750366]
+Labels: ['Diabetes']
+Scores: [0.9934279918670654]
+Labels: ['Cancer']
+Scores: [0.0004984427941963077]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003307215229142457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004189342260360718]
+Labels: ['Mental Health']
+Scores: [0.0056263175792992115]
+Labels: ['Diabetes type 1']
+Scores: [0.9978189468383789]
+Labels: ['Diabetes type 2']
+Scores: [0.00037939476897008717]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706517
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Magnetic Resonance Imaging', 'Adult', 'Neuralgia', 'Diabetic Neuropathies', 'Middle Aged', 'Brain', 'Cerebral Cortex']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04567329213023186]
+Labels: ['Diabetes']
+Scores: [0.9659919738769531]
+Labels: ['Cancer']
+Scores: [0.0007300576544366777]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009127925150096416]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007248202455230057]
+Labels: ['Mental Health']
+Scores: [0.0020421394146978855]
+Labels: ['Diabetes type 1']
+Scores: [0.9907767176628113]
+Labels: ['Diabetes type 2']
+Scores: [0.00039111313526518643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704278
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cytokines', 'Diabetes Mellitus, Type 1', 'Child', 'Chemokines', 'Adolescent', 'Sex Factors', 'Disease Progression', 'Child, Preschool', 'Intercellular Signaling Peptides and Proteins', 'Pilot Projects', 'Biomarkers', 'Sex Characteristics', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15574271976947784]
+Labels: ['Diabetes']
+Scores: [0.9828813076019287]
+Labels: ['Cancer']
+Scores: [0.011330031789839268]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022736983373761177]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008697046898305416]
+Labels: ['Mental Health']
+Scores: [0.013137033209204674]
+Labels: ['Diabetes type 1']
+Scores: [0.9914930462837219]
+Labels: ['Diabetes type 2']
+Scores: [0.0010712494840845466]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704171
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 1', 'Mice', 'Interleukin-2', 'Disease Models, Animal', 'Interleukin-2 Receptor alpha Subunit', 'Interleukin-1 Receptor-Like 1 Protein', 'Interleukin-33', 'Mice, Inbred NOD', 'Female', 'Signal Transduction', 'CD8-Positive T-Lymphocytes', 'Islets of Langerhans', 'Th1 Cells', 'Interleukin-10', 'Autoimmunity', 'Recombinant Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08573159575462341]
+Labels: ['Diabetes']
+Scores: [0.9983561038970947]
+Labels: ['Cancer']
+Scores: [0.0001999990490730852]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012594299914781004]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014173043018672615]
+Labels: ['Mental Health']
+Scores: [0.0002944502339232713]
+Labels: ['Diabetes type 1']
+Scores: [0.999115526676178]
+Labels: ['Diabetes type 2']
+Scores: [0.0007246535387821496]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704022
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Bioengineering', 'Animals', 'Genomics', 'Insulin-Secreting Cells', 'Proteomics', 'Insulin', 'Islets of Langerhans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023213930428028107]
+Labels: ['Diabetes']
+Scores: [0.9975366592407227]
+Labels: ['Cancer']
+Scores: [0.00016633846098557115]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013273746299091727]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015186694508884102]
+Labels: ['Mental Health']
+Scores: [0.00014076016668695956]
+Labels: ['Diabetes type 1']
+Scores: [0.9989209771156311]
+Labels: ['Diabetes type 2']
+Scores: [0.00016527636034879833]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703896
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Receptors, Calcitriol', 'South Africa', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Black People', 'Adult', 'Case-Control Studies', 'Vitamin D', 'Genotype', 'Young Adult', 'Polymorphism, Restriction Fragment Length', 'Polymorphism, Single Nucleotide', 'Genetic Predisposition to Disease', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3527149558067322]
+Labels: ['Diabetes']
+Scores: [0.9063066840171814]
+Labels: ['Cancer']
+Scores: [0.008152811788022518]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03737630695104599]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10077167302370071]
+Labels: ['Mental Health']
+Scores: [0.00545803178101778]
+Labels: ['Diabetes type 1']
+Scores: [0.9624659419059753]
+Labels: ['Diabetes type 2']
+Scores: [0.0009256566409021616]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703609
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'SARS-CoV-2', 'Acute Kidney Injury', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009742741473019123]
+Labels: ['Diabetes']
+Scores: [0.7865661382675171]
+Labels: ['Cancer']
+Scores: [0.0005062999553047121]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004292530473321676]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012341402471065521]
+Labels: ['Mental Health']
+Scores: [0.025211505591869354]
+Labels: ['Diabetes type 1']
+Scores: [0.9671624302864075]
+Labels: ['Diabetes type 2']
+Scores: [0.7040354609489441]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39702941
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Dendritic Cells', 'Humans', 'Macrophages', 'Immune Tolerance', 'Receptors, Cytoplasmic and Nuclear', 'Mitochondria', 'Male', 'Female', 'Phenotype']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0019978052005171776]
+Labels: ['Diabetes']
+Scores: [0.9850821495056152]
+Labels: ['Cancer']
+Scores: [0.00029378963517956436]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005511135677807033]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00027205946389585733]
+Labels: ['Mental Health']
+Scores: [0.00016719709674362093]
+Labels: ['Diabetes type 1']
+Scores: [0.9864189028739929]
+Labels: ['Diabetes type 2']
+Scores: [0.00038356997538357973]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39701114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diabetic Ketoacidosis', 'Adolescent', 'Female', 'Male', 'Child', 'Hypoglycemia', 'Young Adult', 'Insulin', 'Hypoglycemic Agents', 'Insulin Infusion Systems', 'Child, Preschool', 'Blood Glucose', 'Prospective Studies', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00542984576895833]
+Labels: ['Diabetes']
+Scores: [0.8797559142112732]
+Labels: ['Cancer']
+Scores: [0.00010415888391435146]
+Labels: ['Chronic respiratory disease']
+Scores: [8.587463526055217e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015881293802522123]
+Labels: ['Mental Health']
+Scores: [8.514714863849804e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9919565916061401]
+Labels: ['Diabetes type 2']
+Scores: [0.00016356632113456726]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699995
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Adult', 'Female', 'Male', 'Insulin', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Hypoglycemic Agents', 'Retrospective Studies', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005216656718403101]
+Labels: ['Diabetes']
+Scores: [0.996366024017334]
+Labels: ['Cancer']
+Scores: [9.835495438892394e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014250795356929302]
+Labels: ['Cardiovascular diseases']
+Scores: [8.21676294435747e-05]
+Labels: ['Mental Health']
+Scores: [0.0001329283113591373]
+Labels: ['Diabetes type 1']
+Scores: [0.9989261031150818]
+Labels: ['Diabetes type 2']
+Scores: [0.00034150437568314373]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697323
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'MicroRNAs', 'Insulin-Secreting Cells', 'Enterovirus B, Human', 'Coxsackievirus Infections', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Insulin', 'Trophoblasts']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0857364684343338]
+Labels: ['Diabetes']
+Scores: [0.8560582995414734]
+Labels: ['Cancer']
+Scores: [0.0008587603224441409]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009819320403039455]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23328280448913574]
+Labels: ['Mental Health']
+Scores: [0.0008393279858864844]
+Labels: ['Diabetes type 1']
+Scores: [0.9874382615089417]
+Labels: ['Diabetes type 2']
+Scores: [0.00031476723961532116]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696373
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02009820193052292]
+Labels: ['Diabetes']
+Scores: [0.9972834587097168]
+Labels: ['Cancer']
+Scores: [0.00013775828119833022]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014987168833613396]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001504895626567304]
+Labels: ['Mental Health']
+Scores: [0.00020384445087984204]
+Labels: ['Diabetes type 1']
+Scores: [0.9991153478622437]
+Labels: ['Diabetes type 2']
+Scores: [0.00020883693650830537]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696094
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Sirolimus', 'Genetic Diseases, X-Linked', 'Diarrhea', 'Immunosuppressive Agents', 'Forkhead Transcription Factors', 'Immune System Diseases', 'Infant', 'Mutation', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08816581964492798]
+Labels: ['Diabetes']
+Scores: [9.97633469523862e-05]
+Labels: ['Cancer']
+Scores: [0.00012624547525774688]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011654062836896628]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011327717220410705]
+Labels: ['Mental Health']
+Scores: [0.0001493875024607405]
+Labels: ['Diabetes type 1']
+Scores: [0.00010395383287686855]
+Labels: ['Diabetes type 2']
+Scores: [0.000118265365017578]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39692076
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Histamine', 'Female', 'Adult', 'Hot Temperature', 'Middle Aged', 'Diabetic Neuropathies', 'Axons', 'Neural Conduction', 'Reflex', 'Sural Nerve', 'Young Adult', 'ROC Curve', 'Neurologic Examination']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3537319004535675]
+Labels: ['Diabetes']
+Scores: [0.9910443425178528]
+Labels: ['Cancer']
+Scores: [6.782932177884504e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00020936016517225653]
+Labels: ['Cardiovascular diseases']
+Scores: [6.921398744452745e-05]
+Labels: ['Mental Health']
+Scores: [8.674884884385392e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9977418780326843]
+Labels: ['Diabetes type 2']
+Scores: [0.00022977657499723136]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39691822
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'New Zealand', 'Cross-Sectional Studies', 'Adolescent', 'Child', 'Diabetes Mellitus, Type 1', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Prevalence', 'Child, Preschool', 'Adult', 'Glycated Hemoglobin', 'Primary Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001628295867703855]
+Labels: ['Diabetes']
+Scores: [0.8236949443817139]
+Labels: ['Cancer']
+Scores: [0.000126410202938132]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015369118773378432]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017541063425596803]
+Labels: ['Mental Health']
+Scores: [0.00012811373744625598]
+Labels: ['Diabetes type 1']
+Scores: [0.6221702098846436]
+Labels: ['Diabetes type 2']
+Scores: [0.637562096118927]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39689816
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Female', 'Middle Aged', 'Depression', 'Adult', 'Glycated Hemoglobin', 'Prevalence', 'Sex Factors', 'Surveys and Questionnaires', 'Self-Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004033941775560379]
+Labels: ['Diabetes']
+Scores: [0.9735758304595947]
+Labels: ['Cancer']
+Scores: [0.00012578048335853964]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017460668459534645]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003899098082911223]
+Labels: ['Mental Health']
+Scores: [0.3535929322242737]
+Labels: ['Diabetes type 1']
+Scores: [0.9830569624900818]
+Labels: ['Diabetes type 2']
+Scores: [0.0002791208971757442]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39689633
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Parents', 'Qualitative Research', 'Child', 'Adolescent', 'Child, Preschool', 'Interviews as Topic', 'Infant', 'Hospitalization', 'Adult', 'Self Care', 'Self-Management', 'Perception', 'Social Support']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030755290761590004]
+Labels: ['Diabetes']
+Scores: [0.861152708530426]
+Labels: ['Cancer']
+Scores: [9.873727685771883e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.616198076400906e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.903589671012014e-05]
+Labels: ['Mental Health']
+Scores: [0.00020049414888489991]
+Labels: ['Diabetes type 1']
+Scores: [0.9957206845283508]
+Labels: ['Diabetes type 2']
+Scores: [0.00019059100304730237]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39688288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Male', 'Adult', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 1', 'Medically Underserved Area', 'California', 'Florida']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008080413681454957]
+Labels: ['Diabetes']
+Scores: [0.9864242076873779]
+Labels: ['Cancer']
+Scores: [0.00010479376942384988]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010508907143957913]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012623323709703982]
+Labels: ['Mental Health']
+Scores: [7.008176908129826e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.7728347778320312]
+Labels: ['Diabetes type 2']
+Scores: [0.8554897308349609]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686350
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Female', 'Spectroscopy, Near-Infrared', 'Blood Glucose', 'Male', 'Middle Aged', 'Prospective Studies', 'Diabetes Mellitus, Type 2', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026448022574186325]
+Labels: ['Diabetes']
+Scores: [0.6672568917274475]
+Labels: ['Cancer']
+Scores: [9.68285821727477e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.220040763262659e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023781269555911422]
+Labels: ['Mental Health']
+Scores: [9.815870726015419e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.5994908213615417]
+Labels: ['Diabetes type 2']
+Scores: [0.5485948920249939]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39686207
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Neural Networks, Computer', 'Blood Glucose', 'Internet of Things', 'Deep Learning', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Forecasting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1872231662273407]
+Labels: ['Diabetes']
+Scores: [0.9949811100959778]
+Labels: ['Cancer']
+Scores: [0.00018911676306743175]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003682413080241531]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002952425857074559]
+Labels: ['Mental Health']
+Scores: [0.0002714620204642415]
+Labels: ['Diabetes type 1']
+Scores: [0.9989792704582214]
+Labels: ['Diabetes type 2']
+Scores: [0.0007274824311025441]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683492
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Isomaltose', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Middle Aged', 'Cross-Over Studies', 'Adult', 'Exercise', 'Insulin', 'Blood Glucose', 'Insulin Infusion Systems', 'Glucagon', 'Glucagon-Like Peptide 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06390494108200073]
+Labels: ['Diabetes']
+Scores: [0.9981497526168823]
+Labels: ['Cancer']
+Scores: [0.0001059154310496524]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012971011165063828]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019080310594290495]
+Labels: ['Mental Health']
+Scores: [0.00016441481420770288]
+Labels: ['Diabetes type 1']
+Scores: [0.9992875456809998]
+Labels: ['Diabetes type 2']
+Scores: [0.00025466509396210313]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683465
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Female', 'Humans', 'Diabetes Mellitus, Type 1', 'Dietary Supplements', 'Dipeptidyl-Peptidase IV Inhibitors', 'Insulin-Secreting Cells', 'Latent Autoimmune Diabetes in Adults', 'Vitamin D', 'Vitamin D Deficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29704371094703674]
+Labels: ['Diabetes']
+Scores: [0.9943313002586365]
+Labels: ['Cancer']
+Scores: [0.000961535144597292]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007212289492599666]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001975207356736064]
+Labels: ['Mental Health']
+Scores: [0.006359201390296221]
+Labels: ['Diabetes type 1']
+Scores: [0.05760609358549118]
+Labels: ['Diabetes type 2']
+Scores: [0.24383777379989624]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682744
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Extracellular Vesicles', 'Humans', 'Insulin-Secreting Cells', 'Cell Communication', 'Animals', 'Islets of Langerhans', 'Cellular Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004790242528542876]
+Labels: ['Diabetes']
+Scores: [0.9940844178199768]
+Labels: ['Cancer']
+Scores: [0.00010583373659756035]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001193234566017054]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005328766419552267]
+Labels: ['Mental Health']
+Scores: [0.000217963257455267]
+Labels: ['Diabetes type 1']
+Scores: [0.9979918599128723]
+Labels: ['Diabetes type 2']
+Scores: [0.00015307108697015792]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682729
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Intestinal Mucosa', 'Inflammatory Bowel Diseases', 'Celiac Disease', 'Protein Tyrosine Phosphatases', 'Animals', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04915221780538559]
+Labels: ['Diabetes']
+Scores: [0.14315423369407654]
+Labels: ['Cancer']
+Scores: [0.0008673780248500407]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014622781600337476]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017863954417407513]
+Labels: ['Mental Health']
+Scores: [0.00013563441461883485]
+Labels: ['Diabetes type 1']
+Scores: [0.968890905380249]
+Labels: ['Diabetes type 2']
+Scores: [0.000288670213194564]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39682726
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Organoids', 'Alzheimer Disease', 'Herpesvirus 1, Human', 'Brain', 'Herpes Simplex', 'Islets of Langerhans', 'Autoimmune Diseases', 'Stem Cells', 'Transcriptome', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027075879275798798]
+Labels: ['Diabetes']
+Scores: [0.043691787868738174]
+Labels: ['Cancer']
+Scores: [0.00037251043249852955]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00048425677232444286]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0039775618351995945]
+Labels: ['Mental Health']
+Scores: [0.017238233238458633]
+Labels: ['Diabetes type 1']
+Scores: [0.346316397190094]
+Labels: ['Diabetes type 2']
+Scores: [0.0011474224738776684]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680874
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Aged', 'Diabetes Mellitus, Type 1', 'Caregivers', 'Male', 'Pilot Projects', 'Female', 'Feasibility Studies', 'Quality of Life', 'Middle Aged', 'Self-Management', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01977996900677681]
+Labels: ['Diabetes']
+Scores: [0.8082147240638733]
+Labels: ['Cancer']
+Scores: [0.00010838365415111184]
+Labels: ['Chronic respiratory disease']
+Scores: [9.119592868955806e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016128303832374513]
+Labels: ['Mental Health']
+Scores: [0.00024022487923502922]
+Labels: ['Diabetes type 1']
+Scores: [0.6916089653968811]
+Labels: ['Diabetes type 2']
+Scores: [0.5110770463943481]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39680256
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Glycemic Control', 'Child', 'Diabetes Mellitus, Type 1', 'Parents', 'Child, Preschool', 'Hypoglycemia', 'Stress, Psychological', 'Infant', 'Blood Glucose', 'Parent-Child Relations', 'Fear']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16444645822048187]
+Labels: ['Diabetes']
+Scores: [0.9602965116500854]
+Labels: ['Cancer']
+Scores: [0.0005532570066861808]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008383038220927119]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014819096541032195]
+Labels: ['Mental Health']
+Scores: [0.05153053253889084]
+Labels: ['Diabetes type 1']
+Scores: [0.9866099953651428]
+Labels: ['Diabetes type 2']
+Scores: [0.0001946614502230659]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39679900
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Adult', 'Obesity', 'Diabetes Complications', 'Insulin Resistance', 'Young Adult', 'Cardiovascular Diseases', 'Obesity, Metabolically Benign', 'Body Mass Index', 'Follow-Up Studies', 'Adolescent', 'Diabetic Neuropathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005714347935281694]
+Labels: ['Diabetes']
+Scores: [0.3857053220272064]
+Labels: ['Cancer']
+Scores: [7.324333273572847e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.202585740946233e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008090482093393803]
+Labels: ['Mental Health']
+Scores: [7.512117736041546e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.986845076084137]
+Labels: ['Diabetes type 2']
+Scores: [0.00016677528037689626]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39678192
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Biomarkers', 'Female', 'Lipase', 'Adult', 'Amylases', 'Immunotherapy', 'Trypsin', 'Young Adult', 'Pancreas, Exocrine', 'Adolescent', 'Granulocyte Colony-Stimulating Factor', 'Treatment Outcome', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0058288173750042915]
+Labels: ['Diabetes']
+Scores: [0.9944621324539185]
+Labels: ['Cancer']
+Scores: [0.0002096317330142483]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011303941573714837]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020123537979088724]
+Labels: ['Mental Health']
+Scores: [0.0003004291793331504]
+Labels: ['Diabetes type 1']
+Scores: [0.9987229704856873]
+Labels: ['Diabetes type 2']
+Scores: [0.00022767284826841205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39676645
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Prospective Studies', 'Adult', 'Systole', 'Diastole', 'Ultrasonography, Prenatal', 'Fetal Heart', 'Diabetes Mellitus, Type 1', 'Echocardiography, Doppler', 'Young Adult', 'Ventricular Function, Left', 'Myocardial Contraction', 'Pregnancy in Diabetics', 'Stroke Volume', 'Diabetes Mellitus, Type 2', 'Heart Ventricles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0011554430238902569]
+Labels: ['Diabetes']
+Scores: [0.20652636885643005]
+Labels: ['Cancer']
+Scores: [9.063461766345426e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011536585225258023]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9874260425567627]
+Labels: ['Mental Health']
+Scores: [8.728867396712303e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.464881956577301]
+Labels: ['Diabetes type 2']
+Scores: [0.33600959181785583]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39676515
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Health Knowledge, Attitudes, Practice', 'Female', 'Male', 'School Teachers', 'Morocco', 'Adult', 'Surveys and Questionnaires', 'Child', 'Schools', 'Health Education', 'School Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011828098446130753]
+Labels: ['Diabetes']
+Scores: [0.9326877593994141]
+Labels: ['Cancer']
+Scores: [8.11454956419766e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018702831584960222]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00041066028643399477]
+Labels: ['Mental Health']
+Scores: [0.0001349468220723793]
+Labels: ['Diabetes type 1']
+Scores: [0.9815600514411926]
+Labels: ['Diabetes type 2']
+Scores: [0.0001862979115685448]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675543
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Pyroptosis', 'Diabetes Mellitus, Type 1', 'Mice', 'Arsenic', 'Caspase 1', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Diabetes Mellitus, Experimental', 'Male', 'Insulin', 'Reactive Oxygen Species', 'Blood Glucose', 'Streptozocin', 'Phosphate-Binding Proteins', 'Disease Progression', 'Interleukin-18', 'Interleukin-1beta', 'Pancreas', 'Signal Transduction', 'Mice, Inbred C57BL', 'Insulin Resistance', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4244866967201233]
+Labels: ['Diabetes']
+Scores: [0.9877070188522339]
+Labels: ['Cancer']
+Scores: [0.002297433326020837]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009916512062773108]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012101222528144717]
+Labels: ['Mental Health']
+Scores: [0.0015710160369053483]
+Labels: ['Diabetes type 1']
+Scores: [0.9984731674194336]
+Labels: ['Diabetes type 2']
+Scores: [0.0004678666591644287]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675483
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Insulin Infusion Systems', 'Adolescent', 'Parents', 'Insulin', 'Blood Glucose Self-Monitoring', 'Child', 'Hypoglycemic Agents', 'Patient Acceptance of Health Care', 'Surveys and Questionnaires', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007794586941599846]
+Labels: ['Diabetes']
+Scores: [0.9442994594573975]
+Labels: ['Cancer']
+Scores: [0.00021306148846633732]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002079747209791094]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003011520311702043]
+Labels: ['Mental Health']
+Scores: [0.04747968539595604]
+Labels: ['Diabetes type 1']
+Scores: [0.9868988990783691]
+Labels: ['Diabetes type 2']
+Scores: [0.000439366209320724]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675356
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Methylenetetrahydrofolate Reductase (NADPH2)', 'Female', 'Male', 'Adolescent', 'Child', 'Interleukin-4', 'Polymorphism, Genetic', 'Diabetic Neuropathies', 'Diabetes Mellitus, Type 1', 'Genotype', 'Genetic Predisposition to Disease', 'Neural Conduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008011109894141555]
+Labels: ['Diabetes']
+Scores: [0.5733507871627808]
+Labels: ['Cancer']
+Scores: [8.696343866176903e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.355587098980322e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006922093452885747]
+Labels: ['Mental Health']
+Scores: [0.00027361843967810273]
+Labels: ['Diabetes type 1']
+Scores: [0.17139080166816711]
+Labels: ['Diabetes type 2']
+Scores: [0.23334425687789917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673446
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cost-Benefit Analysis', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents', 'Models, Economic', 'Glycated Hemoglobin', 'Quality-Adjusted Life Years', 'Randomized Controlled Trials as Topic', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04460076987743378]
+Labels: ['Diabetes']
+Scores: [0.956548810005188]
+Labels: ['Cancer']
+Scores: [0.00011631083907559514]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010324223694624379]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012166355736553669]
+Labels: ['Mental Health']
+Scores: [0.00014221362653188407]
+Labels: ['Diabetes type 1']
+Scores: [0.9964138269424438]
+Labels: ['Diabetes type 2']
+Scores: [0.00016482900537084788]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673230
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cardiovascular Diseases', 'Australia', 'Risk Assessment', 'Male', 'Female', 'Adult', 'Middle Aged', 'Heart Disease Risk Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006571873091161251]
+Labels: ['Diabetes']
+Scores: [0.9882566332817078]
+Labels: ['Cancer']
+Scores: [0.00015112537948880345]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00023767532547935843]
+Labels: ['Cardiovascular diseases']
+Scores: [0.945528507232666]
+Labels: ['Mental Health']
+Scores: [0.00014082643610890955]
+Labels: ['Diabetes type 1']
+Scores: [0.9984333515167236]
+Labels: ['Diabetes type 2']
+Scores: [0.0002428715379210189]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39670552
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Insulin', 'Child', 'Female', 'Male', 'Needlestick Injuries', 'Injections, Subcutaneous', 'Needles', 'Adolescent', 'Diabetes Mellitus, Type 1', 'Child, Preschool', 'Hypoglycemic Agents', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09850320965051651]
+Labels: ['Diabetes']
+Scores: [0.9716461896896362]
+Labels: ['Cancer']
+Scores: [0.00023907871218398213]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004136410541832447]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005338678020052612]
+Labels: ['Mental Health']
+Scores: [0.0003957701555918902]
+Labels: ['Diabetes type 1']
+Scores: [0.881888747215271]
+Labels: ['Diabetes type 2']
+Scores: [0.7057446837425232]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39667114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Child', 'Prospective Studies', 'Pneumococcal Vaccines', 'Seroconversion', 'Pilot Projects', 'Antibodies, Bacterial', 'Child, Preschool', 'Immunoglobulin G', 'Adolescent', 'Vaccination', 'Pneumococcal Infections', 'Glycated Hemoglobin', 'Streptococcus pneumoniae']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.035918496549129486]
+Labels: ['Diabetes']
+Scores: [0.9582694172859192]
+Labels: ['Cancer']
+Scores: [0.00012255895126145333]
+Labels: ['Chronic respiratory disease']
+Scores: [0.45312803983688354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002631447569001466]
+Labels: ['Mental Health']
+Scores: [0.0002454273053444922]
+Labels: ['Diabetes type 1']
+Scores: [0.995721697807312]
+Labels: ['Diabetes type 2']
+Scores: [0.00027026969473809004]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.046827033162117004]
+Labels: ['Diabetes']
+Scores: [0.9801878333091736]
+Labels: ['Cancer']
+Scores: [0.0002421344252070412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002459670649841428]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005090614431537688]
+Labels: ['Mental Health']
+Scores: [0.0008913044584915042]
+Labels: ['Diabetes type 1']
+Scores: [0.9792386293411255]
+Labels: ['Diabetes type 2']
+Scores: [0.9869892001152039]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665438
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Insulin-Secreting Cells', 'Diabetes Mellitus, Experimental', 'Cell Survival', 'Anti-Inflammatory Agents', 'Polytetrafluoroethylene', 'Diabetes Mellitus, Type 1', 'Male', 'Macrophages', 'Membranes, Artificial', 'Mice, Inbred C57BL', 'Cell Encapsulation', 'Islets of Langerhans Transplantation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015205730684101582]
+Labels: ['Diabetes']
+Scores: [0.9908031821250916]
+Labels: ['Cancer']
+Scores: [0.00023415175382979214]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027869039331562817]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002879095554817468]
+Labels: ['Mental Health']
+Scores: [0.00019519323541317135]
+Labels: ['Diabetes type 1']
+Scores: [0.9991406798362732]
+Labels: ['Diabetes type 2']
+Scores: [0.000250236684223637]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39664107
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Adult', 'Middle Aged', 'Diabetic Neuropathies', 'Female', 'Magnetic Resonance Imaging', 'Olfactory Bulb', 'Aged', 'Young Adult', 'Adolescent', 'Case-Control Studies', 'Smell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009486029157415032]
+Labels: ['Diabetes']
+Scores: [0.8923322558403015]
+Labels: ['Cancer']
+Scores: [0.0001392148988088593]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001274289534194395]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017968847532756627]
+Labels: ['Mental Health']
+Scores: [0.0002860577660612762]
+Labels: ['Diabetes type 1']
+Scores: [0.9855555891990662]
+Labels: ['Diabetes type 2']
+Scores: [0.00027088698698207736]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39663236
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Quality of Life', 'Psychometrics', 'Sweden', 'Child', 'Male', 'Female', 'Surveys and Questionnaires', 'Chronic Disease', 'Adolescent', 'Reproducibility of Results', 'Diabetes Mellitus, Type 1', 'Translations', 'Asthma', 'Parents', 'Factor Analysis, Statistical', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5880277752876282]
+Labels: ['Diabetes']
+Scores: [0.26650723814964294]
+Labels: ['Cancer']
+Scores: [0.053196463733911514]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18691371381282806]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016643522307276726]
+Labels: ['Mental Health']
+Scores: [0.02439141273498535]
+Labels: ['Diabetes type 1']
+Scores: [0.48286423087120056]
+Labels: ['Diabetes type 2']
+Scores: [0.44294077157974243]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661959
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Adolescent', 'Male', 'Belgium', 'Longitudinal Studies', 'Young Adult', 'Adult', 'Self Concept']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00956405233591795]
+Labels: ['Diabetes']
+Scores: [0.993247389793396]
+Labels: ['Cancer']
+Scores: [0.0001449821429559961]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024039788695517927]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020006044360343367]
+Labels: ['Mental Health']
+Scores: [0.0005485508590936661]
+Labels: ['Diabetes type 1']
+Scores: [0.9983394742012024]
+Labels: ['Diabetes type 2']
+Scores: [0.00019531532598193735]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658973
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Retrospective Studies', 'Pakistan', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Adult', 'SARS-CoV-2', 'Survival Rate', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.053503796458244324]
+Labels: ['Diabetes']
+Scores: [0.9789326786994934]
+Labels: ['Cancer']
+Scores: [0.00045152430539019406]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09545918554067612]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01982957310974598]
+Labels: ['Mental Health']
+Scores: [0.0009208220872096717]
+Labels: ['Diabetes type 1']
+Scores: [0.9969326853752136]
+Labels: ['Diabetes type 2']
+Scores: [0.945096492767334]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658119
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Diabetes Mellitus, Type 1', 'Child', 'Male', 'Female', 'Retrospective Studies', 'Adolescent', 'Saudi Arabia', 'Child, Preschool', 'Incidence', 'Polyuria', 'Abdominal Pain', 'Polydipsia', 'Vomiting', 'Age Factors', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3033650517463684]
+Labels: ['Diabetes']
+Scores: [0.9915478229522705]
+Labels: ['Cancer']
+Scores: [0.00029492119210772216]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002038738166447729]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018205128435511142]
+Labels: ['Mental Health']
+Scores: [0.0005113910883665085]
+Labels: ['Diabetes type 1']
+Scores: [0.9968629479408264]
+Labels: ['Diabetes type 2']
+Scores: [0.00031329592457041144]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658013
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Female', 'Male', 'Self Efficacy', 'Quality of Life', 'Jordan', 'Glycemic Control', 'Empowerment', 'Glycated Hemoglobin', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0696275606751442]
+Labels: ['Diabetes']
+Scores: [0.9860329031944275]
+Labels: ['Cancer']
+Scores: [0.00010466970707057044]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001603970886208117]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002414345508441329]
+Labels: ['Mental Health']
+Scores: [0.0016823698533698916]
+Labels: ['Diabetes type 1']
+Scores: [0.9953929781913757]
+Labels: ['Diabetes type 2']
+Scores: [0.00021149005624465644]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653802
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Exercise', 'Insulin Infusion Systems', 'Insulin', 'Adolescent', 'Child', 'Hypoglycemic Agents', 'Europe', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10323616862297058]
+Labels: ['Diabetes']
+Scores: [0.9307782649993896]
+Labels: ['Cancer']
+Scores: [0.0012587916571646929]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005855590105056763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001696383929811418]
+Labels: ['Mental Health']
+Scores: [0.0022624360863119364]
+Labels: ['Diabetes type 1']
+Scores: [0.9929528832435608]
+Labels: ['Diabetes type 2']
+Scores: [0.00027177820447832346]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39652325
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Male', 'Republic of Korea', 'Adolescent', 'Female', 'Child', 'Incidence', 'Child, Preschool', 'Young Adult', 'Cohort Studies', 'Pandemics', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2945551872253418]
+Labels: ['Diabetes']
+Scores: [0.9731932878494263]
+Labels: ['Cancer']
+Scores: [0.0003123126516584307]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012161503545939922]
+Labels: ['Cardiovascular diseases']
+Scores: [0.052666500210762024]
+Labels: ['Mental Health']
+Scores: [0.0005920445546507835]
+Labels: ['Diabetes type 1']
+Scores: [0.9962552785873413]
+Labels: ['Diabetes type 2']
+Scores: [0.9578078985214233]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39652177
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Dermatitis, Atopic', 'Comorbidity', 'Risk Factors', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus', 'Child', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011102082207798958]
+Labels: ['Diabetes']
+Scores: [0.04066408425569534]
+Labels: ['Cancer']
+Scores: [8.445319690508768e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00026230840012431145]
+Labels: ['Cardiovascular diseases']
+Scores: [7.672674109926447e-05]
+Labels: ['Mental Health']
+Scores: [7.627293962286785e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.4141523838043213]
+Labels: ['Diabetes type 2']
+Scores: [0.2735770344734192]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39649224
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Genetic Predisposition to Disease', 'Genome-Wide Association Study', 'Glycated Hemoglobin', 'Mendelian Randomization Analysis', 'Polymorphism, Single Nucleotide', 'Spondylitis, Ankylosing']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0030548213981091976]
+Labels: ['Diabetes']
+Scores: [0.9748415350914001]
+Labels: ['Cancer']
+Scores: [9.818172839004546e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011518901737872511]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002082071587210521]
+Labels: ['Mental Health']
+Scores: [0.00010957899212371558]
+Labels: ['Diabetes type 1']
+Scores: [0.910209059715271]
+Labels: ['Diabetes type 2']
+Scores: [0.9223343729972839]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39648458
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Fatty Acids, Omega-3', 'Chemokine CXCL9', 'Insulin-Secreting Cells', 'Animals', 'Mice', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5940159559249878]
+Labels: ['Diabetes']
+Scores: [0.9941495656967163]
+Labels: ['Cancer']
+Scores: [0.015263015404343605]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013540782034397125]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009001563303172588]
+Labels: ['Mental Health']
+Scores: [0.032599080353975296]
+Labels: ['Diabetes type 1']
+Scores: [0.998633623123169]
+Labels: ['Diabetes type 2']
+Scores: [0.0008200554293580353]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39645243
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Insulin-Secreting Cells', 'Animals', 'Drug Development', 'Insulin Secretion', 'Insulin', 'Disease Progression', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002332445699721575]
+Labels: ['Diabetes']
+Scores: [0.9638285040855408]
+Labels: ['Cancer']
+Scores: [0.0001799032761482522]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014934111095499247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001779122103471309]
+Labels: ['Mental Health']
+Scores: [0.0004545357369352132]
+Labels: ['Diabetes type 1']
+Scores: [0.9927111864089966]
+Labels: ['Diabetes type 2']
+Scores: [0.0002137257979484275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39644976
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diving', 'Adult', 'Hypoglycemia', 'Male', 'Female', 'Blood Glucose', 'Young Adult', 'Blood Glucose Self-Monitoring', 'Glycated Hemoglobin', 'Adolescent', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005299112759530544]
+Labels: ['Diabetes']
+Scores: [0.9718797206878662]
+Labels: ['Cancer']
+Scores: [0.00010802155884448439]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002317294420208782]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016883548232726753]
+Labels: ['Mental Health']
+Scores: [9.138975292444229e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9906054139137268]
+Labels: ['Diabetes type 2']
+Scores: [0.00016346808115486056]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39642862
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Islets of Langerhans Transplantation', 'Induced Pluripotent Stem Cells', 'Islets of Langerhans', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0064149354584515095]
+Labels: ['Diabetes']
+Scores: [0.9929152131080627]
+Labels: ['Cancer']
+Scores: [0.0001317124697379768]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010982081585098058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011175761028425768]
+Labels: ['Mental Health']
+Scores: [0.000116929535579402]
+Labels: ['Diabetes type 1']
+Scores: [0.9987577795982361]
+Labels: ['Diabetes type 2']
+Scores: [0.0002277923485962674]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39639901
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cost-Benefit Analysis', 'Diabetes Mellitus, Type 2', 'Patient Education as Topic', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004195770714432001]
+Labels: ['Diabetes']
+Scores: [0.9784113168716431]
+Labels: ['Cancer']
+Scores: [0.00013038571341894567]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016271471395157278]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014605118485633284]
+Labels: ['Mental Health']
+Scores: [0.0009613016154617071]
+Labels: ['Diabetes type 1']
+Scores: [0.0003810420457739383]
+Labels: ['Diabetes type 2']
+Scores: [0.9953687191009521]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39636437
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Mice, Inbred NOD', 'Mice', 'Female', 'Diabetes Mellitus, Type 1', 'Antigens, Differentiation, T-Lymphocyte', 'Antibodies, Monoclonal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023183170706033707]
+Labels: ['Diabetes']
+Scores: [0.9912132024765015]
+Labels: ['Cancer']
+Scores: [0.0002822919632308185]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016916939057409763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009117760346271098]
+Labels: ['Mental Health']
+Scores: [0.00015335573698394]
+Labels: ['Diabetes type 1']
+Scores: [0.9982382655143738]
+Labels: ['Diabetes type 2']
+Scores: [0.00036786971031688154]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39632776
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Glycemic Control', 'Blood Glucose Self-Monitoring', 'Hypoglycemia', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 2', 'Diabetic Angiopathies', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Postprandial Period', 'Clinical Relevance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00938353594392538]
+Labels: ['Diabetes']
+Scores: [0.9132785201072693]
+Labels: ['Cancer']
+Scores: [0.00021994540293235332]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006241181981749833]
+Labels: ['Cardiovascular diseases']
+Scores: [0.055722787976264954]
+Labels: ['Mental Health']
+Scores: [0.0008635201375000179]
+Labels: ['Diabetes type 1']
+Scores: [0.5009241104125977]
+Labels: ['Diabetes type 2']
+Scores: [0.5783402323722839]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632164
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Female', 'Male', 'Child, Preschool', 'Surveys and Questionnaires', 'Infant', 'Parents', 'Insulin Infusion Systems', 'Patient Satisfaction', 'Blood Glucose', 'Child', 'Caregivers', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004095853306353092]
+Labels: ['Diabetes']
+Scores: [0.9795807003974915]
+Labels: ['Cancer']
+Scores: [0.00015018435078673065]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001787106884876266]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001971124147530645]
+Labels: ['Mental Health']
+Scores: [0.00022769758652430028]
+Labels: ['Diabetes type 1']
+Scores: [0.9982038140296936]
+Labels: ['Diabetes type 2']
+Scores: [0.00018153585551772267]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39629047
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Drug Administration Schedule', 'Glycated Hemoglobin', 'Hypoglycemia', 'Hypoglycemic Agents', 'Insulin', 'Insulin, Long-Acting', 'Randomized Controlled Trials as Topic', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010273025836795568]
+Labels: ['Diabetes']
+Scores: [0.9688097834587097]
+Labels: ['Cancer']
+Scores: [0.00016309702186845243]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015352042100857943]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019684738072101027]
+Labels: ['Mental Health']
+Scores: [0.00017276816652156413]
+Labels: ['Diabetes type 1']
+Scores: [0.9767653942108154]
+Labels: ['Diabetes type 2']
+Scores: [0.9584493637084961]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39627081
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Retrospective Studies', 'Child', 'Female', 'Male', 'Adolescent', 'Child, Preschool', 'Infant', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 1', 'Insulin, Long-Acting', 'Insulin', 'Infant, Newborn', 'Infusions, Intravenous']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09120023995637894]
+Labels: ['Diabetes']
+Scores: [0.9931395649909973]
+Labels: ['Cancer']
+Scores: [0.0001638468966120854]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002692607813514769]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007050582789815962]
+Labels: ['Mental Health']
+Scores: [0.00019735759997274727]
+Labels: ['Diabetes type 1']
+Scores: [0.3651602268218994]
+Labels: ['Diabetes type 2']
+Scores: [0.017461542040109634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39626097
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'HLA-DR3 Antigen', 'Haplotypes', 'HLA-DR4 Antigen', 'Genetic Predisposition to Disease', 'Male', 'Female', 'Genome-Wide Association Study', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0016903694486245513]
+Labels: ['Diabetes']
+Scores: [0.9911390542984009]
+Labels: ['Cancer']
+Scores: [0.00010258575639454648]
+Labels: ['Chronic respiratory disease']
+Scores: [7.175213977461681e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.791573054622859e-05]
+Labels: ['Mental Health']
+Scores: [8.960039122030139e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9970805644989014]
+Labels: ['Diabetes type 2']
+Scores: [0.00022995713516138494]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625868
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Wearable Electronic Devices']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04600729048252106]
+Labels: ['Diabetes']
+Scores: [0.9895989298820496]
+Labels: ['Cancer']
+Scores: [0.00013480951020028442]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001399300090270117]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020465420675463974]
+Labels: ['Mental Health']
+Scores: [0.000230772202485241]
+Labels: ['Diabetes type 1']
+Scores: [0.9961166381835938]
+Labels: ['Diabetes type 2']
+Scores: [0.9738544225692749]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39625848
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Insulin', 'Administration, Cutaneous', 'Needles', 'Drug Delivery Systems', 'Animals', 'Skin', 'Swine', 'Skin Absorption', 'Microinjections', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Humans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0468345507979393]
+Labels: ['Diabetes']
+Scores: [0.9724677205085754]
+Labels: ['Cancer']
+Scores: [0.0001078073910321109]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013522370136342943]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001638270477997139]
+Labels: ['Mental Health']
+Scores: [0.00018743722466751933]
+Labels: ['Diabetes type 1']
+Scores: [0.9979462623596191]
+Labels: ['Diabetes type 2']
+Scores: [0.00028366950573399663]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625039
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, Glucagon', 'Hypoglycemic Agents', 'Blood Glucose', 'Insulin', 'Randomized Controlled Trials as Topic', 'Hypoglycemia', 'Treatment Outcome', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13451385498046875]
+Labels: ['Diabetes']
+Scores: [0.9931504726409912]
+Labels: ['Cancer']
+Scores: [0.002321090782061219]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007852574926801026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0031133827287703753]
+Labels: ['Mental Health']
+Scores: [0.006627052091062069]
+Labels: ['Diabetes type 1']
+Scores: [0.9967771172523499]
+Labels: ['Diabetes type 2']
+Scores: [0.0003543243801686913]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622650
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Adolescent', 'Insulin', 'Skin Diseases', 'Hypoglycemic Agents', 'Child, Preschool', 'Lipodystrophy', 'Dermatitis, Contact']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014689689502120018]
+Labels: ['Diabetes']
+Scores: [0.9899619817733765]
+Labels: ['Cancer']
+Scores: [0.0001485051616327837]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019099154451396316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002523023867979646]
+Labels: ['Mental Health']
+Scores: [0.0002130565553670749]
+Labels: ['Diabetes type 1']
+Scores: [0.9974961876869202]
+Labels: ['Diabetes type 2']
+Scores: [0.00021882203873246908]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622257
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Registries', 'Child', 'Female', 'Male', 'Longitudinal Studies', 'Adolescent', 'Child, Preschool', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Treatment Outcome', 'Infant', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01683771051466465]
+Labels: ['Diabetes']
+Scores: [0.679992139339447]
+Labels: ['Cancer']
+Scores: [0.00017050649330485612]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001606976438779384]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016482510545756668]
+Labels: ['Mental Health']
+Scores: [0.00010415961151011288]
+Labels: ['Diabetes type 1']
+Scores: [0.9175468683242798]
+Labels: ['Diabetes type 2']
+Scores: [0.0002591535449028015]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622163
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Animals', 'Blood Glucose', 'Tissue Engineering', 'Porosity', 'Human Umbilical Vein Endothelial Cells', 'Tissue Scaffolds', 'Induced Pluripotent Stem Cells', 'Insulin', 'Diabetes Mellitus, Experimental', 'Printing, Three-Dimensional', 'Bioprinting', 'Male', 'Cell Survival', 'Insulin-Secreting Cells', 'Extracellular Matrix']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.032382238656282425]
+Labels: ['Diabetes']
+Scores: [0.9933595061302185]
+Labels: ['Cancer']
+Scores: [0.0005738061736337841]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00040539336623623967]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013885622611269355]
+Labels: ['Mental Health']
+Scores: [0.004697506316006184]
+Labels: ['Diabetes type 1']
+Scores: [0.9987162947654724]
+Labels: ['Diabetes type 2']
+Scores: [0.0002066414017463103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621933
+Predictions: ['Diabetes', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Child, Preschool', 'Retrospective Studies', 'Female', 'Blood Glucose', 'Male', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Hospitalization', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010763911996036768]
+Labels: ['Diabetes']
+Scores: [0.98272705078125]
+Labels: ['Cancer']
+Scores: [0.00010832958651008084]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001144577472587116]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011913563503185287]
+Labels: ['Mental Health']
+Scores: [8.611837984062731e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.7941566109657288]
+Labels: ['Diabetes type 2']
+Scores: [0.7119490504264832]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39621313
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice, Inbred NOD', 'Interleukin-4', 'Mice', 'Thymus Gland', 'Diabetes Mellitus, Type 1', 'Receptors, Antigen, T-Cell', 'Dendritic Cells', 'Natural Killer T-Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.40538451075553894]
+Labels: ['Diabetes']
+Scores: [0.9654321670532227]
+Labels: ['Cancer']
+Scores: [0.22784630954265594]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06954480707645416]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17724420130252838]
+Labels: ['Mental Health']
+Scores: [0.05172424018383026]
+Labels: ['Diabetes type 1']
+Scores: [0.9909592866897583]
+Labels: ['Diabetes type 2']
+Scores: [0.0008289181860163808]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39620918
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Aged', 'Automobile Driving', 'Insulin Infusion Systems', 'Male', 'Female', 'Insulin', 'Cross-Over Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0324847511947155]
+Labels: ['Diabetes']
+Scores: [0.9864193201065063]
+Labels: ['Cancer']
+Scores: [0.0014128091279417276]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005246381741017103]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04545436426997185]
+Labels: ['Mental Health']
+Scores: [0.00834143627434969]
+Labels: ['Diabetes type 1']
+Scores: [0.9909719824790955]
+Labels: ['Diabetes type 2']
+Scores: [0.00045875602518208325]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8377873301506042]
+Labels: ['Diabetes']
+Scores: [0.9879481792449951]
+Labels: ['Cancer']
+Scores: [0.23298317193984985]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8912752270698547]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8989949822425842]
+Labels: ['Mental Health']
+Scores: [0.7481687068939209]
+Labels: ['Diabetes type 1']
+Scores: [0.758510410785675]
+Labels: ['Diabetes type 2']
+Scores: [0.9938116073608398]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 6], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02198684588074684]
+Labels: ['Diabetes']
+Scores: [0.9298686981201172]
+Labels: ['Cancer']
+Scores: [8.60926738823764e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001120413071475923]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014098311658017337]
+Labels: ['Mental Health']
+Scores: [0.00013027372187934816]
+Labels: ['Diabetes type 1']
+Scores: [0.983073890209198]
+Labels: ['Diabetes type 2']
+Scores: [0.0004051682190038264]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.550463855266571]
+Labels: ['Diabetes']
+Scores: [0.991424024105072]
+Labels: ['Cancer']
+Scores: [0.03992907330393791]
+Labels: ['Chronic respiratory disease']
+Scores: [0.033168207854032516]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14531272649765015]
+Labels: ['Mental Health']
+Scores: [0.012058576568961143]
+Labels: ['Diabetes type 1']
+Scores: [0.7797260880470276]
+Labels: ['Diabetes type 2']
+Scores: [0.6497209072113037]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08230561763048172]
+Labels: ['Diabetes']
+Scores: [0.9531306624412537]
+Labels: ['Cancer']
+Scores: [0.0007091753068380058]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014199730940163136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007623496348969638]
+Labels: ['Mental Health']
+Scores: [0.002636282006278634]
+Labels: ['Diabetes type 1']
+Scores: [0.08432452380657196]
+Labels: ['Diabetes type 2']
+Scores: [0.9863479137420654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004586690571159124]
+Labels: ['Diabetes']
+Scores: [0.9712436199188232]
+Labels: ['Cancer']
+Scores: [0.0002532516955398023]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00020368459809105843]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021546777861658484]
+Labels: ['Mental Health']
+Scores: [0.00016833218978717923]
+Labels: ['Diabetes type 1']
+Scores: [0.3310823440551758]
+Labels: ['Diabetes type 2']
+Scores: [0.5537925362586975]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015373053029179573]
+Labels: ['Diabetes']
+Scores: [0.8364366292953491]
+Labels: ['Cancer']
+Scores: [0.0001462731306673959]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001773262774804607]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00045100090210326016]
+Labels: ['Mental Health']
+Scores: [0.0001847564708441496]
+Labels: ['Diabetes type 1']
+Scores: [0.8637799024581909]
+Labels: ['Diabetes type 2']
+Scores: [0.7578571438789368]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001961727859452367]
+Labels: ['Diabetes']
+Scores: [0.9167492389678955]
+Labels: ['Cancer']
+Scores: [0.0001291401858907193]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011909753084182739]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0025573018938302994]
+Labels: ['Mental Health']
+Scores: [0.00010831972031155601]
+Labels: ['Diabetes type 1']
+Scores: [0.11632754653692245]
+Labels: ['Diabetes type 2']
+Scores: [0.1783529371023178]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09157371520996094]
+Labels: ['Diabetes']
+Scores: [0.9960934519767761]
+Labels: ['Cancer']
+Scores: [0.00027023511938750744]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007464957889169455]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9952137470245361]
+Labels: ['Mental Health']
+Scores: [0.000261197128565982]
+Labels: ['Diabetes type 1']
+Scores: [0.00039189032395370305]
+Labels: ['Diabetes type 2']
+Scores: [0.9982272386550903]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004659485421143472]
+Labels: ['Diabetes']
+Scores: [0.9063922166824341]
+Labels: ['Cancer']
+Scores: [9.117585432250053e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.983713632915169e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011945050937356427]
+Labels: ['Mental Health']
+Scores: [0.000305231282254681]
+Labels: ['Diabetes type 1']
+Scores: [0.0003294665948487818]
+Labels: ['Diabetes type 2']
+Scores: [0.9943529963493347]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1534988135099411]
+Labels: ['Diabetes']
+Scores: [0.9943661093711853]
+Labels: ['Cancer']
+Scores: [0.0006426823674701154]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007322101155295968]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9950718879699707]
+Labels: ['Mental Health']
+Scores: [0.0005774123128503561]
+Labels: ['Diabetes type 1']
+Scores: [0.03111904300749302]
+Labels: ['Diabetes type 2']
+Scores: [0.4146905541419983]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024165594950318336]
+Labels: ['Diabetes']
+Scores: [0.9951586127281189]
+Labels: ['Cancer']
+Scores: [0.00011588074994506314]
+Labels: ['Chronic respiratory disease']
+Scores: [8.130060450639576e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003505336644593626]
+Labels: ['Mental Health']
+Scores: [0.00012404638982843608]
+Labels: ['Diabetes type 1']
+Scores: [0.0005988438497297466]
+Labels: ['Diabetes type 2']
+Scores: [0.9980432987213135]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.34334298968315125]
+Labels: ['Diabetes']
+Scores: [0.9749721884727478]
+Labels: ['Cancer']
+Scores: [0.0026817398611456156]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012892790138721466]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03495122492313385]
+Labels: ['Mental Health']
+Scores: [0.0028843609616160393]
+Labels: ['Diabetes type 1']
+Scores: [0.00828708428889513]
+Labels: ['Diabetes type 2']
+Scores: [0.987701952457428]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1078023910522461]
+Labels: ['Diabetes']
+Scores: [0.9859622716903687]
+Labels: ['Cancer']
+Scores: [0.00022018626623321325]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027178661548532546]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003349411126691848]
+Labels: ['Mental Health']
+Scores: [0.000813897349871695]
+Labels: ['Diabetes type 1']
+Scores: [0.0004280183056835085]
+Labels: ['Diabetes type 2']
+Scores: [0.9971840381622314]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10060868412256241]
+Labels: ['Diabetes']
+Scores: [0.06594013422727585]
+Labels: ['Cancer']
+Scores: [0.00455107307061553]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000815328792668879]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011154886335134506]
+Labels: ['Mental Health']
+Scores: [0.00026590994093567133]
+Labels: ['Diabetes type 1']
+Scores: [0.18990713357925415]
+Labels: ['Diabetes type 2']
+Scores: [0.2056749314069748]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1880887746810913]
+Labels: ['Diabetes']
+Scores: [0.8718984127044678]
+Labels: ['Cancer']
+Scores: [0.0069336737506091595]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012498641386628151]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10779495537281036]
+Labels: ['Mental Health']
+Scores: [0.0018106101779267192]
+Labels: ['Diabetes type 1']
+Scores: [0.23944267630577087]
+Labels: ['Diabetes type 2']
+Scores: [0.9517211318016052]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017716478556394577]
+Labels: ['Diabetes']
+Scores: [0.49402230978012085]
+Labels: ['Cancer']
+Scores: [0.00010226554149994627]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001426364469807595]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002374248142587021]
+Labels: ['Mental Health']
+Scores: [9.782856795936823e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003565690421964973]
+Labels: ['Diabetes type 2']
+Scores: [0.9930395483970642]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.051394023001194]
+Labels: ['Diabetes']
+Scores: [0.9965351223945618]
+Labels: ['Cancer']
+Scores: [0.00019540151697583497]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00043670585728250444]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018336231005378067]
+Labels: ['Mental Health']
+Scores: [0.00018203159561380744]
+Labels: ['Diabetes type 1']
+Scores: [0.000717324495781213]
+Labels: ['Diabetes type 2']
+Scores: [0.9984009265899658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011640278622508049]
+Labels: ['Diabetes']
+Scores: [0.35216763615608215]
+Labels: ['Cancer']
+Scores: [0.0060057626105844975]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004842317139264196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3053591549396515]
+Labels: ['Mental Health']
+Scores: [0.0004143807746004313]
+Labels: ['Diabetes type 1']
+Scores: [0.02252434566617012]
+Labels: ['Diabetes type 2']
+Scores: [0.9537945985794067]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0023213711101561785]
+Labels: ['Diabetes']
+Scores: [0.9805359244346619]
+Labels: ['Cancer']
+Scores: [0.00012780730321537703]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012092488032067195]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009105995413847268]
+Labels: ['Mental Health']
+Scores: [0.00013515708269551396]
+Labels: ['Diabetes type 1']
+Scores: [0.6896276473999023]
+Labels: ['Diabetes type 2']
+Scores: [0.754811704158783]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0018217489123344421]
+Labels: ['Diabetes']
+Scores: [0.8717454671859741]
+Labels: ['Cancer']
+Scores: [0.00011747603275580332]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011918861855519935]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003271578170824796]
+Labels: ['Mental Health']
+Scores: [0.0001215345473610796]
+Labels: ['Diabetes type 1']
+Scores: [0.0002458697999827564]
+Labels: ['Diabetes type 2']
+Scores: [0.989385187625885]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0006143604987300932]
+Labels: ['Diabetes']
+Scores: [0.9658690690994263]
+Labels: ['Cancer']
+Scores: [9.699243673821911e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011110085324617103]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9933344721794128]
+Labels: ['Mental Health']
+Scores: [9.333506022812799e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.6009529829025269]
+Labels: ['Diabetes type 2']
+Scores: [0.5921970009803772]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735414
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cognitive Dysfunction', 'Olfaction Disorders', 'Early Diagnosis', 'Biomarkers', 'Smell', 'Magnetic Resonance Imaging', 'Brain']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008076324593275785]
+Labels: ['Diabetes']
+Scores: [0.9092028737068176]
+Labels: ['Cancer']
+Scores: [9.91244160104543e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.337404480902478e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011243715562159196]
+Labels: ['Mental Health']
+Scores: [0.002591905416920781]
+Labels: ['Diabetes type 1']
+Scores: [0.0003800102276727557]
+Labels: ['Diabetes type 2']
+Scores: [0.9914227724075317]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734182
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Female', 'Male', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Tibia', 'Periosteum', 'Microcirculation', 'Treatment Outcome', 'Follow-Up Studies', 'Wound Healing', 'Diabetes Mellitus, Type 2', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002590971300378442]
+Labels: ['Diabetes']
+Scores: [0.9278832077980042]
+Labels: ['Cancer']
+Scores: [0.0001197901729028672]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010240997653454542]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017366991378366947]
+Labels: ['Mental Health']
+Scores: [0.00011106742749689147]
+Labels: ['Diabetes type 1']
+Scores: [0.415666401386261]
+Labels: ['Diabetes type 2']
+Scores: [0.37697067856788635]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002081443089991808]
+Labels: ['Diabetes']
+Scores: [0.9509167671203613]
+Labels: ['Cancer']
+Scores: [0.00020091808983124793]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003202841617166996]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000713347690179944]
+Labels: ['Mental Health']
+Scores: [0.00015171736595220864]
+Labels: ['Diabetes type 1']
+Scores: [0.584464967250824]
+Labels: ['Diabetes type 2']
+Scores: [0.6258476972579956]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733138
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Diabetes Mellitus, Type 2', 'Humans', 'Osteoarthritis', 'Animals', 'Rats', 'Chondrocytes', 'Cartilage, Articular', 'Up-Regulation', 'Lipopolysaccharide Receptors', 'Male', 'Monocytes', 'Gene Expression Profiling', 'Biomarkers', 'Cell Adhesion Molecules']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27238428592681885]
+Labels: ['Diabetes']
+Scores: [0.7519339919090271]
+Labels: ['Cancer']
+Scores: [0.0015529493102803826]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003904694691300392]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023437097668647766]
+Labels: ['Mental Health']
+Scores: [0.005952673032879829]
+Labels: ['Diabetes type 1']
+Scores: [0.0018303273245692253]
+Labels: ['Diabetes type 2']
+Scores: [0.9454832673072815]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.039492230862379074]
+Labels: ['Diabetes']
+Scores: [0.9959800243377686]
+Labels: ['Cancer']
+Scores: [8.556358079658821e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.617041748948395e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00031530935666523874]
+Labels: ['Mental Health']
+Scores: [0.0002573322562966496]
+Labels: ['Diabetes type 1']
+Scores: [0.9980100989341736]
+Labels: ['Diabetes type 2']
+Scores: [0.35834234952926636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733102
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Monocytes', 'Male', 'Female', 'Middle Aged', 'Apolipoprotein A-I', 'Biomarkers', 'Aged', 'ROC Curve', 'Non-alcoholic Fatty Liver Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3424541652202606]
+Labels: ['Diabetes']
+Scores: [0.9953733086585999]
+Labels: ['Cancer']
+Scores: [0.005348807666450739]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016814112896099687]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7809011340141296]
+Labels: ['Mental Health']
+Scores: [0.015801433473825455]
+Labels: ['Diabetes type 1']
+Scores: [0.0009300278034061193]
+Labels: ['Diabetes type 2']
+Scores: [0.9986724853515625]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732300
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Ferroptosis', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 2', 'Male', 'Drugs, Chinese Herbal', 'Mice', 'Diabetes Mellitus, Experimental', 'Mice, Inbred C57BL', 'Oxidative Stress', 'Liver', 'Diet, High-Fat', 'Lipid Peroxidation', 'Berberine', 'Cell Line', 'Glucosides', 'Flavanones', 'Streptozocin', 'Isoflavones', 'Flavonoids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13180731236934662]
+Labels: ['Diabetes']
+Scores: [0.9976566433906555]
+Labels: ['Cancer']
+Scores: [0.00020197931735310704]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00030576178687624633]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009302123449742794]
+Labels: ['Mental Health']
+Scores: [0.0004638589743990451]
+Labels: ['Diabetes type 1']
+Scores: [0.0004042069485876709]
+Labels: ['Diabetes type 2']
+Scores: [0.9990900158882141]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731787
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Insulin Resistance', 'Animals', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Mice', 'Triterpenes', 'Male', 'Diabetes Mellitus, Experimental', 'Molecular Structure', 'Structure-Activity Relationship', 'Humans', 'Dose-Response Relationship, Drug', 'Mice, Inbred C57BL']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.37732410430908203]
+Labels: ['Diabetes']
+Scores: [0.9890284538269043]
+Labels: ['Cancer']
+Scores: [0.0007513185264542699]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004943987005390227]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012814176734536886]
+Labels: ['Mental Health']
+Scores: [0.011484822258353233]
+Labels: ['Diabetes type 1']
+Scores: [0.7800645232200623]
+Labels: ['Diabetes type 2']
+Scores: [0.996850848197937]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731761
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Coagulase', 'Comorbidity', 'Diabetes Mellitus, Type 2', 'Staphylococcal Infections', 'Staphylococcus', 'Systemic Inflammatory Response Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.060090042650699615]
+Labels: ['Diabetes']
+Scores: [0.9593682885169983]
+Labels: ['Cancer']
+Scores: [0.0014372572768479586]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005932141561061144]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3788326680660248]
+Labels: ['Mental Health']
+Scores: [0.0007148743025027215]
+Labels: ['Diabetes type 1']
+Scores: [0.00041492824675515294]
+Labels: ['Diabetes type 2']
+Scores: [0.9834921956062317]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05049334838986397]
+Labels: ['Diabetes']
+Scores: [0.9785900712013245]
+Labels: ['Cancer']
+Scores: [0.00012592667189892381]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006932355463504791]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005782275111414492]
+Labels: ['Mental Health']
+Scores: [0.001997905783355236]
+Labels: ['Diabetes type 1']
+Scores: [0.000600780826061964]
+Labels: ['Diabetes type 2']
+Scores: [0.9801642298698425]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730877
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Non-alcoholic Fatty Liver Disease', 'Triglycerides', 'Middle Aged', 'Male', 'Female', 'Cholesterol, HDL', 'Retrospective Studies', 'Adult', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9325374960899353]
+Labels: ['Diabetes']
+Scores: [0.9198524355888367]
+Labels: ['Cancer']
+Scores: [0.02009641006588936]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026288142427802086]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7708918452262878]
+Labels: ['Mental Health']
+Scores: [0.05606696754693985]
+Labels: ['Diabetes type 1']
+Scores: [0.4456128478050232]
+Labels: ['Diabetes type 2']
+Scores: [0.9860032796859741]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730670
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Thyroid Hormones', 'Aged', 'Diabetic Nephropathies', 'Diabetic Retinopathy', 'Diabetic Neuropathies', 'Thyrotropin', 'Thyroid Gland', 'Risk Factors', 'Thyroxine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028647279366850853]
+Labels: ['Diabetes']
+Scores: [0.7156787514686584]
+Labels: ['Cancer']
+Scores: [0.0007281160796992481]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005643382901325822]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012719614896923304]
+Labels: ['Mental Health']
+Scores: [0.0008967624162323773]
+Labels: ['Diabetes type 1']
+Scores: [0.0011202602181583643]
+Labels: ['Diabetes type 2']
+Scores: [0.9100596308708191]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730430
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Periodontitis', 'Male', 'Female', 'Aged', 'Saliva', 'Biomarkers', 'Gingivitis', 'Adult', 'Microbiota', 'Aged, 80 and over', 'RNA, Ribosomal, 16S']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1582275778055191]
+Labels: ['Diabetes']
+Scores: [0.9584985971450806]
+Labels: ['Cancer']
+Scores: [0.0015235129976645112]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022644181735813618]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002127442741766572]
+Labels: ['Mental Health']
+Scores: [0.006220648530870676]
+Labels: ['Diabetes type 1']
+Scores: [0.001319986884482205]
+Labels: ['Diabetes type 2']
+Scores: [0.9945972561836243]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Female', 'Male', 'Heart Failure', 'Middle Aged', 'Aged', 'Retrospective Studies', 'Diabetes Mellitus, Type 2', 'Republic of Korea']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13716435432434082]
+Labels: ['Diabetes']
+Scores: [0.1428583860397339]
+Labels: ['Cancer']
+Scores: [0.0012895495165139437]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01087258942425251]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9696938395500183]
+Labels: ['Mental Health']
+Scores: [0.005646915175020695]
+Labels: ['Diabetes type 1']
+Scores: [0.19409385323524475]
+Labels: ['Diabetes type 2']
+Scores: [0.2527299225330353]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730078
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sleep Initiation and Maintenance Disorders', 'Prediabetic State', 'Glycated Hemoglobin', 'Cognitive Behavioral Therapy', 'Blood Glucose', 'Male', 'Female', 'Insulin Resistance', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Blood Glucose Self-Monitoring', 'Adult', 'Patient Education as Topic', 'Aged', 'Sleep']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001986578106880188]
+Labels: ['Diabetes']
+Scores: [0.3391678035259247]
+Labels: ['Cancer']
+Scores: [0.00014206257765181363]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015767128206789494]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002498889225535095]
+Labels: ['Mental Health']
+Scores: [0.0005061677074991167]
+Labels: ['Diabetes type 1']
+Scores: [0.01163263339549303]
+Labels: ['Diabetes type 2']
+Scores: [0.15055380761623383]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729922
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Periodontitis', 'Male', 'Rats, Wistar', 'Macrophages', 'Diabetes Mellitus, Experimental', 'Rats', 'Alveolar Bone Loss', 'Vitamin D', 'Phagocytosis', 'Diabetes Mellitus, Type 2', 'Calcium', 'Efferocytosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8165692687034607]
+Labels: ['Diabetes']
+Scores: [0.9944012761116028]
+Labels: ['Cancer']
+Scores: [0.004809731151908636]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10398993641138077]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11332855373620987]
+Labels: ['Mental Health']
+Scores: [0.0711597427725792]
+Labels: ['Diabetes type 1']
+Scores: [0.0016979443607851863]
+Labels: ['Diabetes type 2']
+Scores: [0.9979593753814697]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729784
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Melanoma', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Denmark', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Neoplasm Staging', 'Adult', 'Sex Factors', 'Skin Neoplasms', 'Registries', 'Lymphatic Metastasis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006681261118501425]
+Labels: ['Diabetes']
+Scores: [0.8839890956878662]
+Labels: ['Cancer']
+Scores: [0.9596723914146423]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00020049499289598316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021553950500674546]
+Labels: ['Mental Health']
+Scores: [0.00011912491027032956]
+Labels: ['Diabetes type 1']
+Scores: [0.00024075286637526006]
+Labels: ['Diabetes type 2']
+Scores: [0.9639893770217896]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729310
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Lectins', 'Male', 'Female', 'GPI-Linked Proteins', 'Middle Aged', 'Periodontitis', 'Cytokines', 'Tumor Necrosis Factor-alpha', 'Adult', 'Biomarkers', 'Cytokine TWEAK', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0031565341632813215]
+Labels: ['Diabetes']
+Scores: [0.9349364042282104]
+Labels: ['Cancer']
+Scores: [0.053880251944065094]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002979817509185523]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007225572480820119]
+Labels: ['Mental Health']
+Scores: [0.00016533429152332246]
+Labels: ['Diabetes type 1']
+Scores: [0.0004353348631411791]
+Labels: ['Diabetes type 2']
+Scores: [0.9939460158348083]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729235
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Antioxidants', 'Plant Extracts', 'Animals', 'Hypoglycemic Agents', 'Adipogenesis', 'Mice', 'Adipocytes', 'Apoptosis', 'Asteraceae', '3T3-L1 Cells', 'alpha-Amylases', 'Cell Movement', 'Phenols', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.37366026639938354]
+Labels: ['Diabetes']
+Scores: [0.6830556988716125]
+Labels: ['Cancer']
+Scores: [0.004533250816166401]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0013549522263929248]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0030097677372395992]
+Labels: ['Mental Health']
+Scores: [0.0016182136023417115]
+Labels: ['Diabetes type 1']
+Scores: [0.07260630279779434]
+Labels: ['Diabetes type 2']
+Scores: [0.9313287734985352]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39728692
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Docosahexaenoic Acids', 'Animals', 'Diabetic Retinopathy', 'Mice', 'Humans', 'Electroretinography', 'Retina', 'Tomography, Optical Coherence', 'Male', 'Middle Aged', 'Mice, Inbred C57BL', 'Female', 'Diabetes Mellitus, Experimental', 'Gas Chromatography-Mass Spectrometry', 'Real-Time Polymerase Chain Reaction', 'Diabetes Mellitus, Type 2', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031188001856207848]
+Labels: ['Diabetes']
+Scores: [0.9417739510536194]
+Labels: ['Cancer']
+Scores: [0.00016666276496835053]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016845866048242897]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022407410142477602]
+Labels: ['Mental Health']
+Scores: [0.00019071015412919223]
+Labels: ['Diabetes type 1']
+Scores: [0.723537027835846]
+Labels: ['Diabetes type 2']
+Scores: [0.696448028087616]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726656
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Israel', 'Female', 'Adolescent', 'Arabs', 'Cross-Sectional Studies', 'Jews', 'Polycystic Ovary Syndrome', 'Hypertension', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Pediatric Obesity', 'Prevalence', 'Male', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02643882855772972]
+Labels: ['Diabetes']
+Scores: [0.943959653377533]
+Labels: ['Cancer']
+Scores: [0.0001599780807737261]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003131753474008292]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9298340082168579]
+Labels: ['Mental Health']
+Scores: [0.00025297552929259837]
+Labels: ['Diabetes type 1']
+Scores: [0.4357542097568512]
+Labels: ['Diabetes type 2']
+Scores: [0.5534827709197998]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725431
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Prediabetic State', 'China', 'Diabetes Mellitus, Type 2', 'Randomized Controlled Trials as Topic', 'Prospective Studies', 'Single-Blind Method', 'Telemedicine', 'Multicenter Studies as Topic', 'Cost-Benefit Analysis', 'Male', 'Group Dynamics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.059348348528146744]
+Labels: ['Diabetes']
+Scores: [0.8979066014289856]
+Labels: ['Cancer']
+Scores: [0.00013715190289076418]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000119884563900996]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00025541489594615996]
+Labels: ['Mental Health']
+Scores: [0.00023415256873704493]
+Labels: ['Diabetes type 1']
+Scores: [0.5619745254516602]
+Labels: ['Diabetes type 2']
+Scores: [0.0002552078221924603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725366
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Cognitive Dysfunction', 'Rats', 'Gastrointestinal Microbiome', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley', 'Bile Acids and Salts', 'Hypoglycemic Agents', 'Insulin Resistance', 'Hippocampus', 'Maze Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1011575236916542]
+Labels: ['Diabetes']
+Scores: [0.9800072908401489]
+Labels: ['Cancer']
+Scores: [0.00012388096365612]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000185958415386267]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000447874452220276]
+Labels: ['Mental Health']
+Scores: [0.0104264747351408]
+Labels: ['Diabetes type 1']
+Scores: [0.00021918758284300566]
+Labels: ['Diabetes type 2']
+Scores: [0.9959313273429871]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724976
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Colorectal Neoplasms', 'Mass Screening', 'Prostate-Specific Antigen', 'Chronic Disease', 'Male', 'Guideline Adherence', 'Prostatic Neoplasms', 'Diabetes Mellitus, Type 2', 'HIV Infections', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009461644105613232]
+Labels: ['Diabetes']
+Scores: [0.28705644607543945]
+Labels: ['Cancer']
+Scores: [0.9957542419433594]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06434205174446106]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07457602769136429]
+Labels: ['Mental Health']
+Scores: [0.0002927039167843759]
+Labels: ['Diabetes type 1']
+Scores: [0.3832983672618866]
+Labels: ['Diabetes type 2']
+Scores: [0.375606894493103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723533
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Cognitive Dysfunction', 'Mice', 'Network Pharmacology', 'Molecular Docking Simulation', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Diabetes Mellitus, Experimental', 'Protein Interaction Maps', 'Hippocampus', 'Signal Transduction', 'Disease Models, Animal', 'Morris Water Maze Test']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7024181485176086]
+Labels: ['Diabetes']
+Scores: [0.9905977249145508]
+Labels: ['Cancer']
+Scores: [0.0006354133365675807]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005391415324993432]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011550959898158908]
+Labels: ['Mental Health']
+Scores: [0.002347902860492468]
+Labels: ['Diabetes type 1']
+Scores: [0.9266956448554993]
+Labels: ['Diabetes type 2']
+Scores: [0.9175251722335815]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39722814
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Homocysteine', 'Male', 'Female', 'Middle Aged', 'Neural Conduction', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Aged', 'Risk Factors', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014856845373287797]
+Labels: ['Diabetes']
+Scores: [0.9446765780448914]
+Labels: ['Cancer']
+Scores: [0.00011324285878799856]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001710655924398452]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016976910410448909]
+Labels: ['Mental Health']
+Scores: [0.00019013181736227125]
+Labels: ['Diabetes type 1']
+Scores: [0.0006230822182260454]
+Labels: ['Diabetes type 2']
+Scores: [0.9962981343269348]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722811
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'COVID-19', 'Female', 'Male', 'Middle Aged', 'Risk Factors', 'Post-Acute COVID-19 Syndrome', 'Aged', 'Adult', 'Ukraine', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008412905735895038]
+Labels: ['Diabetes']
+Scores: [0.9497058987617493]
+Labels: ['Cancer']
+Scores: [0.00018418570107314736]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003479028819128871]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9171580672264099]
+Labels: ['Mental Health']
+Scores: [0.00014930263569112867]
+Labels: ['Diabetes type 1']
+Scores: [0.0002070539048872888]
+Labels: ['Diabetes type 2']
+Scores: [0.9842323660850525]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39721796
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Gestational Weight Gain', 'White People', 'Adult', 'Retrospective Studies', 'Pregnancy Outcome', 'Obesity', 'COVID-19', 'Pregnancy Complications', 'Black or African American', 'Health Status Disparities', 'Louisiana', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0023607497569173574]
+Labels: ['Diabetes']
+Scores: [0.13642780482769012]
+Labels: ['Cancer']
+Scores: [0.051175396889448166]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12828423082828522]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13318639993667603]
+Labels: ['Mental Health']
+Scores: [0.0008829722064547241]
+Labels: ['Diabetes type 1']
+Scores: [0.2619894742965698]
+Labels: ['Diabetes type 2']
+Scores: [0.23515890538692474]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720906
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Testosterone', 'Middle Aged', 'Aged', 'Australia', 'Risk Factors', 'Glucose Tolerance Test', 'Glycated Hemoglobin', 'Prognosis', 'Blood Glucose', 'Glucose Intolerance', 'Life Style', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0242142491042614]
+Labels: ['Diabetes']
+Scores: [0.8958030939102173]
+Labels: ['Cancer']
+Scores: [0.000285496556898579]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00038929725997149944]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004658095072954893]
+Labels: ['Mental Health']
+Scores: [0.0015885491156950593]
+Labels: ['Diabetes type 1']
+Scores: [0.0012523186160251498]
+Labels: ['Diabetes type 2']
+Scores: [0.9780005216598511]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007940924726426601]
+Labels: ['Diabetes']
+Scores: [0.9640058875083923]
+Labels: ['Cancer']
+Scores: [9.229340503225103e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.062079384922981e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018268817802891135]
+Labels: ['Mental Health']
+Scores: [9.117610898101702e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.688423752784729]
+Labels: ['Diabetes type 2']
+Scores: [0.6733457446098328]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001661876798607409]
+Labels: ['Diabetes']
+Scores: [0.9500496983528137]
+Labels: ['Cancer']
+Scores: [0.00016168861475307494]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016747861809562892]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019048193644266576]
+Labels: ['Mental Health']
+Scores: [0.0001313336251769215]
+Labels: ['Diabetes type 1']
+Scores: [0.5478042364120483]
+Labels: ['Diabetes type 2']
+Scores: [0.5427159667015076]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004325364250689745]
+Labels: ['Diabetes']
+Scores: [0.9584254026412964]
+Labels: ['Cancer']
+Scores: [0.00026003390667028725]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00037682667607441545]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9141993522644043]
+Labels: ['Mental Health']
+Scores: [0.00012023490126011893]
+Labels: ['Diabetes type 1']
+Scores: [0.0004752440145239234]
+Labels: ['Diabetes type 2']
+Scores: [0.9938207268714905]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1259545534849167]
+Labels: ['Diabetes']
+Scores: [0.965433657169342]
+Labels: ['Cancer']
+Scores: [0.00019143013923894614]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024614192079752684]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019922207575291395]
+Labels: ['Mental Health']
+Scores: [0.00017765173106454313]
+Labels: ['Diabetes type 1']
+Scores: [0.6067537069320679]
+Labels: ['Diabetes type 2']
+Scores: [0.6702218055725098]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720247
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Insulin Resistance', 'Bile Acids and Salts', 'Medicine, Chinese Traditional', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18742534518241882]
+Labels: ['Diabetes']
+Scores: [0.9721294641494751]
+Labels: ['Cancer']
+Scores: [0.0006681483355350792]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011465138522908092]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004529081750661135]
+Labels: ['Mental Health']
+Scores: [0.0010748285567387938]
+Labels: ['Diabetes type 1']
+Scores: [0.0031355570536106825]
+Labels: ['Diabetes type 2']
+Scores: [0.9909169673919678]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720175
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glycemic Control', 'Diabetes Mellitus, Type 2', 'Health Education', 'Glycated Hemoglobin', 'Blood Glucose', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3108413815498352]
+Labels: ['Diabetes']
+Scores: [0.9412794709205627]
+Labels: ['Cancer']
+Scores: [0.004518940579146147]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008814750239253044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03409770503640175]
+Labels: ['Mental Health']
+Scores: [0.1724894791841507]
+Labels: ['Diabetes type 1']
+Scores: [0.0006386168533936143]
+Labels: ['Diabetes type 2']
+Scores: [0.9873707294464111]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720174
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Periapical Periodontitis', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Male', 'Female', 'Middle Aged', 'Root Canal Therapy', 'Adult', 'Romania', 'Tooth, Nonvital', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03703908622264862]
+Labels: ['Diabetes']
+Scores: [0.6832005977630615]
+Labels: ['Cancer']
+Scores: [0.0012070934753865004]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017910376191139221]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002536651911213994]
+Labels: ['Mental Health']
+Scores: [0.001061081886291504]
+Labels: ['Diabetes type 1']
+Scores: [0.024350877851247787]
+Labels: ['Diabetes type 2']
+Scores: [0.8884286880493164]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719839
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'TNF-Related Apoptosis-Inducing Ligand', 'Diabetes Mellitus, Type 2', 'Periodontitis', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Gene Frequency', 'Genotype', 'Blood Glucose', 'Polymorphism, Genetic', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017519019544124603]
+Labels: ['Diabetes']
+Scores: [0.9305012822151184]
+Labels: ['Cancer']
+Scores: [0.0020126926247030497]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002721511700656265]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004896895261481404]
+Labels: ['Mental Health']
+Scores: [0.00016818275616969913]
+Labels: ['Diabetes type 1']
+Scores: [0.0018664880190044641]
+Labels: ['Diabetes type 2']
+Scores: [0.9713997840881348]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719724
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Synbiotics', 'Double-Blind Method', 'Male', 'Middle Aged', 'Female', 'Probiotics', 'Blood Glucose', 'Gastrointestinal Microbiome', 'Glycated Hemoglobin', 'Bifidobacterium animalis', 'Insulin Resistance', 'Treatment Outcome', 'Insulin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021818138659000397]
+Labels: ['Diabetes']
+Scores: [0.9712005257606506]
+Labels: ['Cancer']
+Scores: [0.0001754687400534749]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021079962607473135]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002707997045945376]
+Labels: ['Mental Health']
+Scores: [0.00021656174794770777]
+Labels: ['Diabetes type 1']
+Scores: [0.00026026798877865076]
+Labels: ['Diabetes type 2']
+Scores: [0.9965882897377014]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719658
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Acute Kidney Injury', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Contrast Media', 'Aged', 'Coronary Angiography', 'Propensity Score', 'Percutaneous Coronary Intervention', 'Creatinine', 'China', 'Incidence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16935351490974426]
+Labels: ['Diabetes']
+Scores: [0.9947080612182617]
+Labels: ['Cancer']
+Scores: [0.0002917191304732114]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00035506533458828926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9514909386634827]
+Labels: ['Mental Health']
+Scores: [0.0006154620787128806]
+Labels: ['Diabetes type 1']
+Scores: [0.0002671813708730042]
+Labels: ['Diabetes type 2']
+Scores: [0.9988647103309631]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719583
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Liraglutide', 'Sodium-Glucose Transporter 2 Inhibitors', 'Network Meta-Analysis', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Treatment Outcome', 'Glucosides', 'Glycated Hemoglobin', 'Blood Glucose', 'Glucagon-Like Peptide-2 Receptor', 'Gastric Inhibitory Polypeptide', 'Tirzepatide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00913349911570549]
+Labels: ['Diabetes']
+Scores: [0.5858630537986755]
+Labels: ['Cancer']
+Scores: [0.00019224514835514128]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00023985309235285968]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006093733012676239]
+Labels: ['Mental Health']
+Scores: [0.00021306530106812716]
+Labels: ['Diabetes type 1']
+Scores: [0.00036733943852595985]
+Labels: ['Diabetes type 2']
+Scores: [0.8549321889877319]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719404
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dipeptidyl-Peptidase IV Inhibitors', 'Male', 'Diabetes Mellitus, Type 2', 'Female', 'Middle Aged', 'Sodium-Glucose Transporter 2 Inhibitors', 'Retrospective Studies', 'Aged', 'Hong Kong', 'Treatment Outcome', 'Risk Factors', 'Risk Assessment', 'Myocardial Infarction', 'Thrombosis', 'Time Factors', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019724257290363312]
+Labels: ['Diabetes']
+Scores: [0.9911853671073914]
+Labels: ['Cancer']
+Scores: [0.0005609333165921271]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006906883791089058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9937376976013184]
+Labels: ['Mental Health']
+Scores: [0.0006300857057794929]
+Labels: ['Diabetes type 1']
+Scores: [0.0004954917822033167]
+Labels: ['Diabetes type 2']
+Scores: [0.9980562329292297]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719391
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Blood Glucose', 'Life Style', 'Exercise', 'Aged', 'Sleep', 'Hypoglycemic Agents', 'Follow-Up Studies', 'Precision Medicine', 'Adult', 'Biomarkers', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06708092242479324]
+Labels: ['Diabetes']
+Scores: [0.9872992634773254]
+Labels: ['Cancer']
+Scores: [0.00021870197087991983]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004088917048648]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012140366015955806]
+Labels: ['Mental Health']
+Scores: [0.02404548041522503]
+Labels: ['Diabetes type 1']
+Scores: [0.0003411544603295624]
+Labels: ['Diabetes type 2']
+Scores: [0.9976992011070251]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719314
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Biomarkers', 'Black or African American', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glucose Clamp Technique', 'Glucose Tolerance Test', 'Incidence', 'Insulin', 'Insulin Resistance', 'Insulin Secretion', 'Parents', 'Prediabetic State', 'Prognosis', 'Prospective Studies', 'White']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08098839968442917]
+Labels: ['Diabetes']
+Scores: [0.981905460357666]
+Labels: ['Cancer']
+Scores: [0.0001361123431706801]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014285676297731698]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006633555167354643]
+Labels: ['Mental Health']
+Scores: [0.00016850157408043742]
+Labels: ['Diabetes type 1']
+Scores: [0.0157806146889925]
+Labels: ['Diabetes type 2']
+Scores: [0.9913779497146606]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719282
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Qualitative Research', 'Singapore', 'Telemedicine', 'Adult', 'Self Efficacy', 'Aged', 'Health Behavior', 'Asian People', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Blood Pressure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026254238560795784]
+Labels: ['Diabetes']
+Scores: [0.9803600311279297]
+Labels: ['Cancer']
+Scores: [0.00013014081923756748]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003293621412012726]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007982888491824269]
+Labels: ['Mental Health']
+Scores: [0.001191821531392634]
+Labels: ['Diabetes type 1']
+Scores: [0.00030732565210200846]
+Labels: ['Diabetes type 2']
+Scores: [0.9953209757804871]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02572653256356716]
+Labels: ['Diabetes']
+Scores: [0.9617035388946533]
+Labels: ['Cancer']
+Scores: [0.00011837218335131183]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013998153735883534]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014640638255514205]
+Labels: ['Mental Health']
+Scores: [0.000125049045891501]
+Labels: ['Diabetes type 1']
+Scores: [0.36704206466674805]
+Labels: ['Diabetes type 2']
+Scores: [0.48534277081489563]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009495937265455723]
+Labels: ['Diabetes']
+Scores: [0.9928565621376038]
+Labels: ['Cancer']
+Scores: [0.1432272493839264]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017458040383644402]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11947950720787048]
+Labels: ['Mental Health']
+Scores: [0.000112510948383715]
+Labels: ['Diabetes type 1']
+Scores: [0.0004576770879793912]
+Labels: ['Diabetes type 2']
+Scores: [0.9966015815734863]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719170
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide-1 Receptor', 'Body Composition', 'Network Meta-Analysis as Topic', 'Obesity', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Receptors, Gastrointestinal Hormone', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09880366921424866]
+Labels: ['Diabetes']
+Scores: [0.8521807789802551]
+Labels: ['Cancer']
+Scores: [0.00044766959035769105]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010322554968297482]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002373470226302743]
+Labels: ['Mental Health']
+Scores: [0.00015930455992929637]
+Labels: ['Diabetes type 1']
+Scores: [0.7220280170440674]
+Labels: ['Diabetes type 2']
+Scores: [0.6769564747810364]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719165
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin-Secreting Cells', 'Male', 'Glucagon-Like Peptides', 'Mice', 'Gastrointestinal Microbiome', 'Mice, Inbred C57BL', 'Diabetes Mellitus, Type 2', 'Signal Transduction', 'Diabetes Mellitus, Experimental', 'Methyltransferases', 'Diet, High-Fat', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08904460072517395]
+Labels: ['Diabetes']
+Scores: [0.998124361038208]
+Labels: ['Cancer']
+Scores: [0.00022089910635259002]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00020059254893567413]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004489048442337662]
+Labels: ['Mental Health']
+Scores: [0.00024549919180572033]
+Labels: ['Diabetes type 1']
+Scores: [0.0004024934605695307]
+Labels: ['Diabetes type 2']
+Scores: [0.9990527629852295]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718468
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptides', 'Immunoglobulin Fc Fragments', 'Liver', 'Recombinant Fusion Proteins', 'Hypoglycemic Agents', 'Adult', 'Non-alcoholic Fatty Liver Disease', 'Aged', 'Glycated Hemoglobin', 'Blood Glucose', 'Cohort Studies', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0013031691778451204]
+Labels: ['Diabetes']
+Scores: [0.9853940010070801]
+Labels: ['Cancer']
+Scores: [0.00012564992357511073]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018226685642730445]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020180846331641078]
+Labels: ['Mental Health']
+Scores: [0.0001145653150160797]
+Labels: ['Diabetes type 1']
+Scores: [0.6175999641418457]
+Labels: ['Diabetes type 2']
+Scores: [0.7619336843490601]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718016
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Intra-Abdominal Fat', 'Subcutaneous Fat', 'Transcriptome', 'Gene Expression Profiling', 'Macrophages', 'Protein Interaction Maps']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1307944357395172]
+Labels: ['Diabetes']
+Scores: [0.6410307288169861]
+Labels: ['Cancer']
+Scores: [0.0010396202560514212]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015577738173305988]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011532641015946865]
+Labels: ['Mental Health']
+Scores: [0.0057558524422347546]
+Labels: ['Diabetes type 1']
+Scores: [0.0014309921534731984]
+Labels: ['Diabetes type 2']
+Scores: [0.9552837014198303]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018516117706894875]
+Labels: ['Diabetes']
+Scores: [0.13297656178474426]
+Labels: ['Cancer']
+Scores: [0.0002071229973807931]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003189054550603032]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6680174469947815]
+Labels: ['Mental Health']
+Scores: [0.0002373545285081491]
+Labels: ['Diabetes type 1']
+Scores: [0.11679650098085403]
+Labels: ['Diabetes type 2']
+Scores: [0.7972084879875183]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717105
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Risk Factors', 'Gastrointestinal Diseases', 'Nomograms', 'Aged', 'Hypoglycemic Agents', 'Adult', 'Prognosis', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020878929644823074]
+Labels: ['Diabetes']
+Scores: [0.9494578242301941]
+Labels: ['Cancer']
+Scores: [0.00023252049868460745]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00038177723763510585]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00024428515462204814]
+Labels: ['Mental Health']
+Scores: [0.00012009988131467253]
+Labels: ['Diabetes type 1']
+Scores: [0.0015669616404920816]
+Labels: ['Diabetes type 2']
+Scores: [0.9905718564987183]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716666
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Male', 'Female', 'Middle Aged', 'Latent Class Analysis', 'Prospective Studies', 'Aged', 'Exercise', 'Adult', 'Motivation', 'Singapore', 'Educational Status', 'Life Style', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00640827976167202]
+Labels: ['Diabetes']
+Scores: [0.967616081237793]
+Labels: ['Cancer']
+Scores: [0.00015013442316558212]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017568217299412936]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014925365394447]
+Labels: ['Mental Health']
+Scores: [0.017288081347942352]
+Labels: ['Diabetes type 1']
+Scores: [0.0005359707865864038]
+Labels: ['Diabetes type 2']
+Scores: [0.995287299156189]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716481
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin Resistance', 'Heat-Shock Response', 'Male', 'Diet, High-Fat', 'Mice, Inbred C57BL', 'HSP70 Heat-Shock Proteins', 'Disease Progression', 'Blood Glucose', 'Mice', 'Hot Temperature', 'Early Diagnosis', 'Diabetes Mellitus, Type 2', 'Obesity', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4007287621498108]
+Labels: ['Diabetes']
+Scores: [0.8080532550811768]
+Labels: ['Cancer']
+Scores: [0.0023606810718774796]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001816063653677702]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7490013837814331]
+Labels: ['Mental Health']
+Scores: [0.001900169881992042]
+Labels: ['Diabetes type 1']
+Scores: [0.3408677577972412]
+Labels: ['Diabetes type 2']
+Scores: [0.9528891444206238]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 2', 'Retinal Degeneration', 'Mice, Inbred C57BL', 'Male', 'Diabetic Retinopathy', 'Retina']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00542807811871171]
+Labels: ['Diabetes']
+Scores: [0.9975301623344421]
+Labels: ['Cancer']
+Scores: [0.00011874677147716284]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019531958969309926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.030225539579987526]
+Labels: ['Mental Health']
+Scores: [0.00028600814403034747]
+Labels: ['Diabetes type 1']
+Scores: [0.00034645249252207577]
+Labels: ['Diabetes type 2']
+Scores: [0.999068021774292]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716328
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dementia', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Network Meta-Analysis', 'Observational Studies as Topic', 'Randomized Controlled Trials as Topic', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2187180072069168]
+Labels: ['Diabetes']
+Scores: [0.9396827220916748]
+Labels: ['Cancer']
+Scores: [0.0003243217652197927]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00048683155910111964]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004754513502120972]
+Labels: ['Mental Health']
+Scores: [0.057655271142721176]
+Labels: ['Diabetes type 1']
+Scores: [0.0006872003432363272]
+Labels: ['Diabetes type 2']
+Scores: [0.9919397830963135]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1289312243461609]
+Labels: ['Diabetes']
+Scores: [0.7859795689582825]
+Labels: ['Cancer']
+Scores: [0.00014429898874368519]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011133762018289417]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006164468359202147]
+Labels: ['Mental Health']
+Scores: [0.00039708014810457826]
+Labels: ['Diabetes type 1']
+Scores: [0.7226747870445251]
+Labels: ['Diabetes type 2']
+Scores: [0.7166236042976379]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008476244402118027]
+Labels: ['Diabetes']
+Scores: [0.849205493927002]
+Labels: ['Cancer']
+Scores: [0.0001710729266051203]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002113141817972064]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9813574552536011]
+Labels: ['Mental Health']
+Scores: [0.0001403002388542518]
+Labels: ['Diabetes type 1']
+Scores: [0.2464224100112915]
+Labels: ['Diabetes type 2']
+Scores: [0.8899586796760559]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716230
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Gangrene', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Acupuncture, Ear', 'Wound Healing', 'Treatment Outcome', 'Amputation, Surgical', 'Acupuncture Points', 'Magnetic Field Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0013133924221619964]
+Labels: ['Diabetes']
+Scores: [0.9918767213821411]
+Labels: ['Cancer']
+Scores: [9.79580800049007e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.418638364877552e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017280261090490967]
+Labels: ['Mental Health']
+Scores: [8.654434350319207e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.7603428363800049]
+Labels: ['Diabetes type 2']
+Scores: [0.722374677658081]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716081
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ferroptosis', 'Gene Regulatory Networks', 'Genetic Predisposition to Disease', 'Genomics', 'Male', 'Diabetes Complications', 'Female', 'Gene Expression Profiling', 'Polymorphism, Single Nucleotide', 'Computational Biology', 'Genetic Association Studies', 'Multiomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0013370041269809008]
+Labels: ['Diabetes']
+Scores: [0.9858277440071106]
+Labels: ['Cancer']
+Scores: [0.00012754247291013598]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001329995138803497]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002217456349171698]
+Labels: ['Mental Health']
+Scores: [8.919204265112057e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00020346223027445376]
+Labels: ['Diabetes type 2']
+Scores: [0.9951018691062927]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716056
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Bayes Theorem', 'Diabetes Mellitus, Type 2', 'Humans', 'Linear Models', 'Linkage Disequilibrium', 'Quantitative Trait Loci', 'Phenotype', 'Computer Simulation', 'Models, Genetic', 'Genome-Wide Association Study']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4993499517440796]
+Labels: ['Diabetes']
+Scores: [0.5470930337905884]
+Labels: ['Cancer']
+Scores: [0.5668335556983948]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5654311776161194]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5355803370475769]
+Labels: ['Mental Health']
+Scores: [0.20140019059181213]
+Labels: ['Diabetes type 1']
+Scores: [0.5373826622962952]
+Labels: ['Diabetes type 2']
+Scores: [0.5393860936164856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715944
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bariatric Surgery', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Glycemic Control', 'Hypoglycemic Agents', 'Obesity, Morbid', 'Recurrence', 'Remission Induction', 'Retrospective Studies', 'Treatment Outcome', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0022830802481621504]
+Labels: ['Diabetes']
+Scores: [0.9939538836479187]
+Labels: ['Cancer']
+Scores: [0.00011284877837169915]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010511677828617394]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012661784421652555]
+Labels: ['Mental Health']
+Scores: [0.0001231461064890027]
+Labels: ['Diabetes type 1']
+Scores: [0.35804420709609985]
+Labels: ['Diabetes type 2']
+Scores: [0.9958269000053406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08799426257610321]
+Labels: ['Diabetes']
+Scores: [0.861082136631012]
+Labels: ['Cancer']
+Scores: [0.0016184316482394934]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020157162100076675]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8134464621543884]
+Labels: ['Mental Health']
+Scores: [0.026337768882513046]
+Labels: ['Diabetes type 1']
+Scores: [0.7375321388244629]
+Labels: ['Diabetes type 2']
+Scores: [0.6345011591911316]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39715135
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Sulfonylurea Compounds', 'Iraq', 'Sulfonylurea Receptors', 'Case-Control Studies', 'Polymorphism, Single Nucleotide', 'Middle Aged', 'Hypoglycemic Agents', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20126557350158691]
+Labels: ['Diabetes']
+Scores: [0.985285222530365]
+Labels: ['Cancer']
+Scores: [0.0002311405842192471]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003357462410349399]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021079417318105698]
+Labels: ['Mental Health']
+Scores: [0.000558720959816128]
+Labels: ['Diabetes type 1']
+Scores: [0.00027042353758588433]
+Labels: ['Diabetes type 2']
+Scores: [0.9953367114067078]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39713052
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Fatty Acids, Nonesterified', 'Coronary Disease', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05876476690173149]
+Labels: ['Diabetes']
+Scores: [0.8732843399047852]
+Labels: ['Cancer']
+Scores: [0.00021008365729358047]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022489050752483308]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8464556336402893]
+Labels: ['Mental Health']
+Scores: [0.00023339135805144906]
+Labels: ['Diabetes type 1']
+Scores: [0.0016904782969504595]
+Labels: ['Diabetes type 2']
+Scores: [0.9810462594032288]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710901
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05791102722287178]
+Labels: ['Diabetes']
+Scores: [0.9927639365196228]
+Labels: ['Cancer']
+Scores: [0.00031733870855532587]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003321197291370481]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6252993941307068]
+Labels: ['Mental Health']
+Scores: [0.0010348313953727484]
+Labels: ['Diabetes type 1']
+Scores: [0.018785901367664337]
+Labels: ['Diabetes type 2']
+Scores: [0.9984562397003174]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710882
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Bone Density', 'Glucagon-Like Peptide-1 Receptor', 'Absorptiometry, Photon', 'Randomized Controlled Trials as Topic', 'Body Composition', 'Diabetes Mellitus, Type 2', 'Bayes Theorem', 'Female', 'Hypoglycemic Agents', 'Male', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024236582219600677]
+Labels: ['Diabetes']
+Scores: [0.000855721125844866]
+Labels: ['Cancer']
+Scores: [0.0001282535376958549]
+Labels: ['Chronic respiratory disease']
+Scores: [9.570385736878961e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012776078074239194]
+Labels: ['Mental Health']
+Scores: [0.0001484893000451848]
+Labels: ['Diabetes type 1']
+Scores: [0.0027095433324575424]
+Labels: ['Diabetes type 2']
+Scores: [0.004651565104722977]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710722
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Middle Aged', 'Seasons', 'Aged', 'Metabolic Diseases', 'Calcifediol', 'Prospective Studies', 'Adult', 'Renal Insufficiency, Chronic', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06074373796582222]
+Labels: ['Diabetes']
+Scores: [0.9952088594436646]
+Labels: ['Cancer']
+Scores: [0.00012086512288078666]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015825266018509865]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012094697915017605]
+Labels: ['Mental Health']
+Scores: [0.00016932196740526706]
+Labels: ['Diabetes type 1']
+Scores: [0.0005110073834657669]
+Labels: ['Diabetes type 2']
+Scores: [0.9974914789199829]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710638
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Risk Factors', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Young Adult', 'Diabetes Mellitus, Type 2', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05489610508084297]
+Labels: ['Diabetes']
+Scores: [0.9414172172546387]
+Labels: ['Cancer']
+Scores: [0.00018234712479170412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016067418619059026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017429515719413757]
+Labels: ['Mental Health']
+Scores: [0.00031235191272571683]
+Labels: ['Diabetes type 1']
+Scores: [0.49913591146469116]
+Labels: ['Diabetes type 2']
+Scores: [0.5925257802009583]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008959286496974528]
+Labels: ['Diabetes']
+Scores: [0.9807605147361755]
+Labels: ['Cancer']
+Scores: [8.526424062438309e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.283072045538574e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.199099491117522e-05]
+Labels: ['Mental Health']
+Scores: [5.65809132240247e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.6842493414878845]
+Labels: ['Diabetes type 2']
+Scores: [0.6589269638061523]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710013
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Case-Control Studies', 'Female', 'Male', 'Adolescent', 'Pediatric Obesity', 'Feces', 'Diabetes Mellitus, Type 2', 'Birth Cohort', 'Bacteroides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08301177620887756]
+Labels: ['Diabetes']
+Scores: [0.18266357481479645]
+Labels: ['Cancer']
+Scores: [0.020690973848104477]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06618278473615646]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20245610177516937]
+Labels: ['Mental Health']
+Scores: [0.00024261439102701843]
+Labels: ['Diabetes type 1']
+Scores: [0.18883223831653595]
+Labels: ['Diabetes type 2']
+Scores: [0.2018321305513382]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710002
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Genome-Wide Association Study', 'Frailty', 'Genetic Pleiotropy', 'Muscle, Skeletal', 'Comorbidity', 'Polymorphism, Single Nucleotide', 'Female', 'Male', 'Phenotype', 'Aged', 'Genetic Predisposition to Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3860308527946472]
+Labels: ['Diabetes']
+Scores: [0.9990936517715454]
+Labels: ['Cancer']
+Scores: [0.00025031997938640416]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026221205480396748]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010574228130280972]
+Labels: ['Mental Health']
+Scores: [0.000898017839062959]
+Labels: ['Diabetes type 1']
+Scores: [0.0016778414137661457]
+Labels: ['Diabetes type 2']
+Scores: [0.9993292689323425]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Cognition', 'Cognitive Dysfunction', 'Diabetes Mellitus, Type 2', 'Dipeptidyl-Peptidase IV Inhibitors', 'Drug Therapy, Combination', 'Hypoglycemic Agents', 'Metabolomics', 'Metformin', 'Prospective Studies', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.166649729013443]
+Labels: ['Diabetes']
+Scores: [0.92304527759552]
+Labels: ['Cancer']
+Scores: [0.0011126493336632848]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014864199329167604]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027383645065128803]
+Labels: ['Mental Health']
+Scores: [0.003934263717383146]
+Labels: ['Diabetes type 1']
+Scores: [0.0009929086081683636]
+Labels: ['Diabetes type 2']
+Scores: [0.9869646430015564]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709924
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'Diet, High-Fat', 'Male', 'Kidney', 'Diabetic Nephropathies', 'Gastrointestinal Microbiome', 'Dysbiosis', 'Isothiocyanates', 'Humans', 'Mice, Inbred C57BL', 'Protective Agents', 'Blood Glucose', 'Streptozocin', 'Sulfoxides', 'Diabetes Mellitus, Type 2', 'Raphanus', 'Oxidative Stress', 'Bacteria', 'Superoxide Dismutase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5044558644294739]
+Labels: ['Diabetes']
+Scores: [0.7914479970932007]
+Labels: ['Cancer']
+Scores: [0.017236074432730675]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024295564740896225]
+Labels: ['Cardiovascular diseases']
+Scores: [0.054125234484672546]
+Labels: ['Mental Health']
+Scores: [0.016044385731220245]
+Labels: ['Diabetes type 1']
+Scores: [0.059529852122068405]
+Labels: ['Diabetes type 2']
+Scores: [0.8748711347579956]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01899322308599949]
+Labels: ['Diabetes']
+Scores: [0.06069693714380264]
+Labels: ['Cancer']
+Scores: [0.9978786110877991]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024118951114360243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8065828084945679]
+Labels: ['Mental Health']
+Scores: [0.00020547884923871607]
+Labels: ['Diabetes type 1']
+Scores: [0.23762699961662292]
+Labels: ['Diabetes type 2']
+Scores: [0.82362300157547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709519
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Polycystic Ovary Syndrome', 'Female', 'MicroRNAs', 'Biomarkers', 'Metabolic Diseases', 'Insulin Resistance', 'Non-alcoholic Fatty Liver Disease', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5307179093360901]
+Labels: ['Diabetes']
+Scores: [0.2617112994194031]
+Labels: ['Cancer']
+Scores: [0.0010718872072175145]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0032120426185429096]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3805910646915436]
+Labels: ['Mental Health']
+Scores: [0.0007634281064383686]
+Labels: ['Diabetes type 1']
+Scores: [0.1436036229133606]
+Labels: ['Diabetes type 2']
+Scores: [0.9075925946235657]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002289912197738886]
+Labels: ['Diabetes']
+Scores: [0.9729710221290588]
+Labels: ['Cancer']
+Scores: [0.0002040829713223502]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016614492051303387]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9571523070335388]
+Labels: ['Mental Health']
+Scores: [0.00013187997683417052]
+Labels: ['Diabetes type 1']
+Scores: [0.0004173043416813016]
+Labels: ['Diabetes type 2']
+Scores: [0.9953206777572632]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709342
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Aged', 'Blood Glucose', 'Chronic Pain', 'Middle Aged', 'Pain Measurement', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0032124612480401993]
+Labels: ['Diabetes']
+Scores: [0.9177344441413879]
+Labels: ['Cancer']
+Scores: [0.00012203367077745497]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022374963737092912]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004710000939667225]
+Labels: ['Mental Health']
+Scores: [0.00014436834317166358]
+Labels: ['Diabetes type 1']
+Scores: [0.0002323425142094493]
+Labels: ['Diabetes type 2']
+Scores: [0.986625075340271]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008092641830444336]
+Labels: ['Diabetes']
+Scores: [0.502810537815094]
+Labels: ['Cancer']
+Scores: [0.0005391088780015707]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012380920816212893]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9288017153739929]
+Labels: ['Mental Health']
+Scores: [0.0001140538151958026]
+Labels: ['Diabetes type 1']
+Scores: [0.4067479968070984]
+Labels: ['Diabetes type 2']
+Scores: [0.5384241342544556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+Time to classify all articles: 2147.1830909252167 seconds
+Result confusion matrix: [[683, 429], [286, 5002]]
+True Positive Rate (TPR): 0.7048503611971104
+True Negative Rate (TNR): 0.9210090222795065
+Precision: 0.6142086330935251
diff --git a/model/results/zero_shot/v1/MoritzLaurer-bge_m3_zeroshot_v2_0.txt b/model/results/zero_shot/v1/MoritzLaurer-bge_m3_zeroshot_v2_0.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0a30078ec37f16289765e97067b991ff079891a7
--- /dev/null
+++ b/model/results/zero_shot/v1/MoritzLaurer-bge_m3_zeroshot_v2_0.txt
@@ -0,0 +1,20009 @@
+---------------------------------
+MODEL: MoritzLaurer/bge-m3-zeroshot-v2.0
+TRESHOLD: 0.7
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7830814719200134]
+Labels: ['Diabetes']
+Scores: [0.0016347987111657858]
+Labels: ['Cancer']
+Scores: [0.001535948016680777]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007596402429044247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00870713870972395]
+Labels: ['Mental Health']
+Scores: [0.002846178598701954]
+Labels: ['Diabetes type 1']
+Scores: [0.0023493249900639057]
+Labels: ['Diabetes type 2']
+Scores: [0.002688201842829585]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737504
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Stem Cell Transplantation', 'Cell- and Tissue-Based Therapy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17680653929710388]
+Labels: ['Diabetes']
+Scores: [0.029100365936756134]
+Labels: ['Cancer']
+Scores: [0.03333517163991928]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017239561304450035]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027254493907094]
+Labels: ['Mental Health']
+Scores: [0.0006569470278918743]
+Labels: ['Diabetes type 1']
+Scores: [0.005440181586891413]
+Labels: ['Diabetes type 2']
+Scores: [0.011018555611371994]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736607
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors', 'Employment', 'Socioeconomic Factors', 'Poverty', 'Universal Health Insurance', 'Cost of Illness']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9873346090316772]
+Labels: ['Diabetes']
+Scores: [0.0208630058914423]
+Labels: ['Cancer']
+Scores: [0.030517466366291046]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06713669747114182]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021153820678591728]
+Labels: ['Mental Health']
+Scores: [0.009252386167645454]
+Labels: ['Diabetes type 1']
+Scores: [0.006374829448759556]
+Labels: ['Diabetes type 2']
+Scores: [0.007734077516943216]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732655
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Machine Learning', 'Bias', 'Population Health', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9451765418052673]
+Labels: ['Diabetes']
+Scores: [0.007239655591547489]
+Labels: ['Cancer']
+Scores: [0.00907812174409628]
+Labels: ['Chronic respiratory disease']
+Scores: [0.051972609013319016]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01820458471775055]
+Labels: ['Mental Health']
+Scores: [0.013351021334528923]
+Labels: ['Diabetes type 1']
+Scores: [0.004423783626407385]
+Labels: ['Diabetes type 2']
+Scores: [0.006243288516998291]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731009
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2634390890598297]
+Labels: ['Diabetes']
+Scores: [0.0013734243111684918]
+Labels: ['Cancer']
+Scores: [0.004014796111732721]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04921823740005493]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03257611021399498]
+Labels: ['Mental Health']
+Scores: [0.011241381987929344]
+Labels: ['Diabetes type 1']
+Scores: [0.0016557681374251842]
+Labels: ['Diabetes type 2']
+Scores: [0.001915633911266923]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725416
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'New Zealand', 'Cross-Sectional Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Adult', 'Comorbidity', 'Censuses', 'Adolescent', 'Young Adult', 'Aged, 80 and over', 'Prevalence', 'Child', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9888852834701538]
+Labels: ['Diabetes']
+Scores: [0.007303094025701284]
+Labels: ['Cancer']
+Scores: [0.0074595059268176556]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10593383014202118]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012233053334057331]
+Labels: ['Mental Health']
+Scores: [0.10987100005149841]
+Labels: ['Diabetes type 1']
+Scores: [0.026662325486540794]
+Labels: ['Diabetes type 2']
+Scores: [0.050143614411354065]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722627
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3088350296020508]
+Labels: ['Diabetes']
+Scores: [0.05310927703976631]
+Labels: ['Cancer']
+Scores: [0.0020542333368211985]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0069325449876487255]
+Labels: ['Cardiovascular diseases']
+Scores: [0.26740825176239014]
+Labels: ['Mental Health']
+Scores: [0.0005896381917409599]
+Labels: ['Diabetes type 1']
+Scores: [0.0007414855062961578]
+Labels: ['Diabetes type 2']
+Scores: [0.06212900951504707]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709790
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['NF-E2-Related Factor 2', 'Humans', 'Animals', 'Noncommunicable Diseases', 'Oxidative Stress', 'Reactive Oxygen Species', 'Oxidation-Reduction', 'Disease Models, Animal', 'Inflammation', 'Gene Expression Regulation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9770414233207703]
+Labels: ['Diabetes']
+Scores: [0.015378369949758053]
+Labels: ['Cancer']
+Scores: [0.016170911490917206]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22668737173080444]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010188009589910507]
+Labels: ['Mental Health']
+Scores: [0.027383040636777878]
+Labels: ['Diabetes type 1']
+Scores: [0.007015808951109648]
+Labels: ['Diabetes type 2']
+Scores: [0.01407275814563036]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702198
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'India', 'Middle Aged', 'Aged, 80 and over', 'Noncommunicable Diseases', 'Cost of Illness', 'Disability-Adjusted Life Years', 'Sex Factors', 'Age Factors', 'Global Burden of Disease', 'Wounds and Injuries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01518773939460516]
+Labels: ['Diabetes']
+Scores: [0.019425319507718086]
+Labels: ['Cancer']
+Scores: [0.011906499043107033]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010325325652956963]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02929607592523098]
+Labels: ['Mental Health']
+Scores: [0.013667252846062183]
+Labels: ['Diabetes type 1']
+Scores: [0.004888640251010656]
+Labels: ['Diabetes type 2']
+Scores: [0.005449250806123018]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699459
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Brazil', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Chronic Disease', 'Noncommunicable Diseases', 'Prevalence', 'Health Surveys', 'Young Adult', 'Adolescent', 'Sex Distribution', 'Socioeconomic Factors', 'Cost of Illness', 'Multimorbidity', 'Sociodemographic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9651513695716858]
+Labels: ['Diabetes']
+Scores: [0.003373565850779414]
+Labels: ['Cancer']
+Scores: [0.030631015077233315]
+Labels: ['Chronic respiratory disease']
+Scores: [0.041735123842954636]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016800617799162865]
+Labels: ['Mental Health']
+Scores: [0.012991521507501602]
+Labels: ['Diabetes type 1']
+Scores: [0.0018561818869784474]
+Labels: ['Diabetes type 2']
+Scores: [0.0020460004452615976]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697299
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Multimorbidity', 'Noncommunicable Diseases', 'Health Expenditures', 'Prevalence', 'Aged', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9958442449569702]
+Labels: ['Diabetes']
+Scores: [0.0018650590209290385]
+Labels: ['Cancer']
+Scores: [0.005980613641440868]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013346514664590359]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00506566883996129]
+Labels: ['Mental Health']
+Scores: [0.07911135256290436]
+Labels: ['Diabetes type 1']
+Scores: [0.0024664627853780985]
+Labels: ['Diabetes type 2']
+Scores: [0.003937054891139269]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696316
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Thailand', 'Humans', 'Noncommunicable Diseases', 'Stakeholder Participation', 'Health Policy', 'Sustainable Development', 'Intersectoral Collaboration', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5339701175689697]
+Labels: ['Diabetes']
+Scores: [0.001529357978142798]
+Labels: ['Cancer']
+Scores: [0.004952301736921072]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4713175296783447]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04574374109506607]
+Labels: ['Mental Health']
+Scores: [0.06040697172284126]
+Labels: ['Diabetes type 1']
+Scores: [0.010166426189243793]
+Labels: ['Diabetes type 2']
+Scores: [0.020082226023077965]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696309
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5686782002449036]
+Labels: ['Diabetes']
+Scores: [0.43248170614242554]
+Labels: ['Cancer']
+Scores: [0.0007063889061100781]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020769836846739054]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012534621637314558]
+Labels: ['Mental Health']
+Scores: [0.00039264641236513853]
+Labels: ['Diabetes type 1']
+Scores: [0.03490416705608368]
+Labels: ['Diabetes type 2']
+Scores: [0.0758478194475174]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9911858439445496]
+Labels: ['Diabetes']
+Scores: [0.005801263265311718]
+Labels: ['Cancer']
+Scores: [0.01952255330979824]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005150813143700361]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0037106084637343884]
+Labels: ['Mental Health']
+Scores: [0.9087874293327332]
+Labels: ['Diabetes type 1']
+Scores: [0.0017085399013012648]
+Labels: ['Diabetes type 2']
+Scores: [0.003007521154358983]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693027
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9532859921455383]
+Labels: ['Diabetes']
+Scores: [0.02663051337003708]
+Labels: ['Cancer']
+Scores: [0.0041675865650177]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02146800421178341]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06444726139307022]
+Labels: ['Mental Health']
+Scores: [0.012517114169895649]
+Labels: ['Diabetes type 1']
+Scores: [0.008814839646220207]
+Labels: ['Diabetes type 2']
+Scores: [0.011170285753905773]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39683555
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Female', 'Italy', 'Exercise', 'Feeding Behavior', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Knowledge, Attitudes, Practice', 'Young Adult', 'Child', 'Adolescent Behavior', 'Surveys and Questionnaires', 'Health Risk Behaviors', 'Risk-Taking', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7680991888046265]
+Labels: ['Diabetes']
+Scores: [0.002788040554150939]
+Labels: ['Cancer']
+Scores: [0.07598473131656647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004018229898065329]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0040376922115683556]
+Labels: ['Mental Health']
+Scores: [0.007338368333876133]
+Labels: ['Diabetes type 1']
+Scores: [0.0008429629378952086]
+Labels: ['Diabetes type 2']
+Scores: [0.001228373614139855]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8866614699363708]
+Labels: ['Diabetes']
+Scores: [0.0035744186025112867]
+Labels: ['Cancer']
+Scores: [0.0022899338509887457]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016083907335996628]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004226353485137224]
+Labels: ['Mental Health']
+Scores: [0.0016707300674170256]
+Labels: ['Diabetes type 1']
+Scores: [0.001529197208583355]
+Labels: ['Diabetes type 2']
+Scores: [0.0018739302176982164]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8710943460464478]
+Labels: ['Diabetes']
+Scores: [0.002365077380090952]
+Labels: ['Cancer']
+Scores: [0.015208550728857517]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00766499899327755]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014482229016721249]
+Labels: ['Mental Health']
+Scores: [0.0009076370042748749]
+Labels: ['Diabetes type 1']
+Scores: [0.0012315509375184774]
+Labels: ['Diabetes type 2']
+Scores: [0.0014239270240068436]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9593584537506104]
+Labels: ['Diabetes']
+Scores: [0.0027098264545202255]
+Labels: ['Cancer']
+Scores: [0.0019037558231502771]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006498485803604126]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003485414432361722]
+Labels: ['Mental Health']
+Scores: [0.0012313169427216053]
+Labels: ['Diabetes type 1']
+Scores: [0.000932473165448755]
+Labels: ['Diabetes type 2']
+Scores: [0.0012656012549996376]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9950902462005615]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.005388402380049229]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02759164571762085]
+Labels: ['Cardiovascular diseases']
+Scores: [0.017071779817342758]
+Labels: ['Mental Health']
+Scores: [0.003974156454205513]
+Labels: ['Diabetes type 1']
+Scores: [0.014064427465200424]
+Labels: ['Diabetes type 2']
+Scores: [0.024937959387898445]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39658798
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Translational Research, Biomedical', 'Humans', 'Ethiopia', 'Capacity Building', 'Decision Making', 'Research Personnel', 'Public Health', 'Malawi', 'Uganda', 'Noncommunicable Diseases', 'Cooperative Behavior', 'South Africa', 'Delivery of Health Care', 'Africa', 'Rwanda', 'Administrative Personnel', 'Focus Groups', 'Surveys and Questionnaires', 'Evidence-Based Practice', 'Qualitative Research', 'Health Policy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01432313583791256]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.009090911597013474]
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+Labels: ['Mental Health']
+Scores: [0.002794607076793909]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.001166492118500173]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39655600
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'White People', 'Female', 'Male', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Risk Factors', 'Black People', 'Africa South of the Sahara', 'Europe', 'Renal Insufficiency, Chronic', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7827308177947998]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.02082120068371296]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015556209720671177]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.015230349265038967]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653570
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Medication Adherence', 'Thailand', 'Islam', 'Middle Aged', 'Noncommunicable Diseases', 'Rural Population', 'Adult', 'Focus Groups', 'Qualitative Research', 'Aged', 'Health Knowledge, Attitudes, Practice', 'Southeast Asian People', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39653567
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Developing Countries', 'Noncommunicable Diseases', 'Research Design', 'Stakeholder Participation', 'Implementation Science', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9836921691894531]
+Labels: ['Diabetes']
+Scores: [0.011416595429182053]
+Labels: ['Cancer']
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+Scores: [0.007267109118402004]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39645277
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Chronic Disease', 'Diet, Western', 'Gastrointestinal Microbiome', 'Inflammation', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8095459938049316]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.008238539099693298]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644320
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delivery of Health Care', 'Russia', 'Primary Health Care', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29774507880210876]
+Labels: ['Diabetes']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004317714367061853]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644303
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Exercise', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6756362915039062]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632114
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delphi Technique', 'Precision Medicine', 'Noncommunicable Diseases', 'Consensus', 'Female', 'Australia', 'Pregnancy', 'Adult', 'Male', 'Mass Screening', 'Middle Aged', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8957173228263855]
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+Scores: [0.0021767476573586464]
+Labels: ['Cancer']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625743
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Surveys and Questionnaires', 'Reproducibility of Results', 'Multicenter Studies as Topic', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6177330613136292]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622542
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Kenya', 'Food Insecurity', 'Male', 'Female', 'HIV Infections', 'Adult', 'Health Services Accessibility', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Middle Aged', 'Comorbidity', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2682383954524994]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39613439
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Systematic Reviews as Topic', 'Sedentary Behavior', 'Meta-Analysis as Topic', 'Prevalence', 'Risk Factors', 'Exercise', 'Adult', 'Africa, Eastern', 'Research Design', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013533679768443108]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39602608
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Mexico', 'Cost of Illness', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Healthy Aging', 'Mortality', 'Life Expectancy', 'Prevalence', 'Incidence', 'Humans', 'Male', 'Female', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Delivery of Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595773
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Tanzania', 'Humans', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Adult', 'Rural Population', 'Aged', 'Young Adult', 'Politics', 'Adolescent', 'Treatment Adherence and Compliance', 'Patient Compliance']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0020118693355470896]
+Labels: ['Diabetes type 2']
+Scores: [0.0028050595428794622]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595772
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Refugees', 'Male', 'Female', 'Risk Factors', 'Adult', 'Portugal', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Young Adult', 'Prevalence', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8897835612297058]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.000990985776297748]
+Labels: ['Diabetes type 2']
+Scores: [0.0010196801740676165]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592985
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Pregnancy', 'Noncommunicable Diseases', 'Middle Aged', 'Prospective Studies', 'Adolescent', 'Male', 'Young Adult', 'Aged', 'Multimorbidity', 'Prenatal Exposure Delayed Effects', 'Aged, 80 and over', 'Smoking', 'Chronic Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8487128615379333]
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+Scores: [0.01523633487522602]
+Labels: ['Cancer']
+Scores: [0.04351424053311348]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5933607816696167]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08044853061437607]
+Labels: ['Mental Health']
+Scores: [0.06775996088981628]
+Labels: ['Diabetes type 1']
+Scores: [0.004775428678840399]
+Labels: ['Diabetes type 2']
+Scores: [0.023504188284277916]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Exercise', 'Aged', 'Noncommunicable Diseases', 'Randomized Controlled Trials as Topic', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19947463274002075]
+Labels: ['Diabetes']
+Scores: [0.15939810872077942]
+Labels: ['Cancer']
+Scores: [0.004050123505294323]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06607265770435333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04921653866767883]
+Labels: ['Mental Health']
+Scores: [0.017047807574272156]
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+Scores: [0.014771412126719952]
+Labels: ['Diabetes type 2']
+Scores: [0.029889030382037163]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39589015
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Male', 'Female', 'South Africa', 'Longitudinal Studies', 'Adult', 'Middle Aged', 'Depressive Disorder, Major', 'Communicable Diseases', 'Mediation Analysis', 'Comorbidity', 'Causality', 'Aged', 'Monte Carlo Method', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Scores: [0.0011415069457143545]
+Labels: ['Cancer']
+Scores: [0.0026852476876229048]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003435037564486265]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0027372140903025866]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39584432
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Noncommunicable Diseases', 'Digital Technology', 'Middle East', 'Telemedicine', 'Mediterranean Region', 'Pandemics', 'SARS-CoV-2', 'Delivery of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8144164681434631]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00966731272637844]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39563350
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'England', 'Adult', 'Male', 'Middle Aged', 'Schools', 'Female', 'Obesity', 'Public Health', 'Fast Foods', 'Body Mass Index', 'Cross-Sectional Studies', 'Health Care Costs', 'Restaurants', 'Noncommunicable Diseases', 'Quality-Adjusted Life Years', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552939
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Noncommunicable Diseases', 'HIV Infections', 'Delivery of Health Care, Integrated']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09657853841781616]
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+Labels: ['Cancer']
+Scores: [0.0016611150931566954]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004002413246780634]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552340
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Qualitative Research', 'Health Policy', 'Policy Making', 'Stakeholder Participation', 'Interviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9679836630821228]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.02457875944674015]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39548534
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ghana', 'Noncommunicable Diseases', 'Health Policy', 'World Health Organization', 'Focus Groups', 'Stakeholder Participation', 'Policy Making', 'Administrative Personnel', 'Qualitative Research', 'Public Health', 'Health Promotion', 'Health Plan Implementation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9699674844741821]
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+Scores: [0.13550180196762085]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.02733616717159748]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39541160
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Primary Health Care', 'Female', 'Male', 'Hypertension', 'Noncommunicable Diseases', 'Diabetes Mellitus, Type 2', 'Ghana', 'Adult', 'Middle Aged', 'Delivery of Health Care, Integrated', 'Quality Improvement', 'Depression', 'Mental Health Services', 'Anxiety', 'Mental Disorders', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Scores: [0.01384653989225626]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00206818082369864]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39530940
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Cardiovascular Diseases', 'Secondary Prevention']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9928920269012451]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.009792833589017391]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39522888
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'China', 'Noncommunicable Diseases', 'Aged', 'Middle Aged', 'Male', 'Female', 'Incidence', 'Aged, 80 and over', 'Disability-Adjusted Life Years', 'Health Priorities', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9243001937866211]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39515219
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Body Mass Index', 'Child', 'Female', 'Pediatric Obesity', 'Victoria', 'COVID-19', 'Health Behavior', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0053193154744803905]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39514466
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Exercise', 'Noncommunicable Diseases', 'Health Promotion', 'Healthy Lifestyle', 'Perception', 'Life Style']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9653788208961487]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39511525
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Behavior Therapy', 'Health Promotion', 'Life Style', 'Noncommunicable Diseases', 'Systematic Reviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9727298021316528]
+Labels: ['Diabetes']
+Scores: [0.011957024224102497]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39496368
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Dyslipidemias', 'Adult', 'Cross-Sectional Studies', 'Aged', 'Prevalence', 'Sex Factors', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Cohort Studies', 'Age Factors', 'Social Class', 'Health Status Disparities', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494478
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Risk Factors', 'Cardiovascular Diseases', 'Periodontal Diseases', 'Periodontitis', 'Disease Susceptibility', 'Noncommunicable Diseases', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8323143720626831]
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.008025002665817738]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39478581
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Male', 'Exercise', 'Female', 'Middle Aged', 'Young Adult', 'Africa', 'Adolescent', 'Aged', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Leisure Activities', 'Sociodemographic Factors', 'Surveys and Questionnaires', 'Sex Factors', 'Educational Status']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013278994709253311]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.005120953544974327]
+Labels: ['Mental Health']
+Scores: [0.006775197107344866]
+Labels: ['Diabetes type 1']
+Scores: [0.0012565497308969498]
+Labels: ['Diabetes type 2']
+Scores: [0.0013759979046881199]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39478517
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Prospective Studies', 'Diet', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04001334309577942]
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+Scores: [0.2072540521621704]
+Labels: ['Cancer']
+Scores: [0.003553583985194564]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11915911734104156]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Scores: [0.016824737191200256]
+Labels: ['Diabetes type 2']
+Scores: [0.030941033735871315]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39460821
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ukraine', 'Retrospective Studies', 'Aged', 'Persons with Disabilities', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over', 'Cardiovascular Diseases', 'Armed Conflicts', 'Neoplasms', 'Eastern European People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08834894746541977]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.01772921159863472]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.001151132513768971]
+Labels: ['Diabetes type 2']
+Scores: [0.0016963108209893107]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458499
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Liver Diseases', 'Probiotics', 'Chronic Disease', 'Noncommunicable Diseases', 'Risk Factors', 'Dietary Fiber', 'Polyphenols', 'Food Ingredients', 'Diet', 'Spices', 'Fatty Acids, Omega-3', 'Dietary Supplements']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7694841623306274]
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+Scores: [0.0052421786822378635]
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+Labels: ['Diabetes type 2']
+Scores: [0.004626837093383074]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39458490
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Biodiversity', 'One Health', 'Diet, Healthy', 'Interdisciplinary Research', 'Noncommunicable Diseases', 'Diet, Vegetarian', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6563692688941956]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.014057686552405357]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39458487
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Bibliometrics', 'Humans', 'Food Labeling', 'Beverages', 'Global Health', 'Nutrition Policy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005337078589946032]
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+Labels: ['Cancer']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39449123
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Life Style', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Inflammatory Bowel Diseases', 'Adult', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Inflammation', 'Age of Onset', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Diabetes type 1']
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+Scores: [0.04018096998333931]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39438053
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Thailand', 'Noncommunicable Diseases', 'Delivery of Health Care', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9171759486198425]
+Labels: ['Diabetes']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.005425702780485153]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Germany', 'Communicable Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026169495657086372]
+Labels: ['Diabetes']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437462
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Emotions', 'Physician-Patient Relations', 'Communication', 'Decision Making', 'Noncommunicable Diseases', 'Informed Consent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9987624287605286]
+Labels: ['Diabetes']
+Scores: [0.009444069117307663]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.003372094826772809]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436669
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Health Policy', 'Policy Making', 'Administrative Personnel', 'Noncommunicable Diseases', 'Developing Countries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5480192303657532]
+Labels: ['Diabetes']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0012926191557198763]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39432502
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Tuberculosis, Pulmonary', 'Noncommunicable Diseases', 'Gene Regulatory Networks', 'Lung Neoplasms', 'Silicosis', 'Protein Interaction Maps', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1722804754972458]
+Labels: ['Diabetes']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39426077
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Brazil', 'Obesity', 'Male', 'Female', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Hospitalization', 'Body Mass Index', 'Sick Leave', 'Prevalence', 'Cost of Illness', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39421825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Prevalence', 'Incidence', 'Global Health', 'Male', 'Global Burden of Disease', 'Data Analysis', 'World Health Organization', 'Secondary Data Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9965527057647705]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39418781
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Female', 'Male', 'Case-Control Studies', 'Middle Aged', 'Adult', 'Occupations', 'Databases, Factual', 'Occupational Exposure', 'Risk Factors', 'Noncommunicable Diseases', 'Myocardial Infarction', 'Sitting Position', 'Diabetes Mellitus', 'Aged', 'Workplace']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02127375267446041]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418779
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Europe', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Adolescent', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult', 'Global Burden of Disease', 'Child', 'Infant', 'Cost of Illness', 'Child, Preschool', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418251
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Obesity', 'Hypertension', 'Motivation', 'Risk Factors', 'Hyperlipidemias', 'Iran', 'Overweight', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.02148158848285675]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39416942
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Information Dissemination', 'Translational Research, Biomedical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9460733532905579]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39411832
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Inflammation', 'Diet', 'Anti-Inflammatory Agents', 'Obesity', 'Chronic Disease', 'Diabetes Mellitus, Type 2', 'Fruit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8684186935424805]
+Labels: ['Diabetes']
+Scores: [0.07937584817409515]
+Labels: ['Cancer']
+Scores: [0.006348048336803913]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00649611558765173]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0076513090170919895]
+Labels: ['Mental Health']
+Scores: [0.0012777087977156043]
+Labels: ['Diabetes type 1']
+Scores: [0.0045762271620333195]
+Labels: ['Diabetes type 2']
+Scores: [0.08953806012868881]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39408274
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malus', 'Noncommunicable Diseases', 'Fruit', 'Nutritive Value', 'Diet', 'Diet, Healthy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.43734729290008545]
+Labels: ['Diabetes']
+Scores: [0.015110965818166733]
+Labels: ['Cancer']
+Scores: [0.005501268431544304]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01579613983631134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07678345590829849]
+Labels: ['Mental Health']
+Scores: [0.0008104990120045841]
+Labels: ['Diabetes type 1']
+Scores: [0.01556673925369978]
+Labels: ['Diabetes type 2']
+Scores: [0.022257668897509575]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39408232
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Biological Products', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9931501150131226]
+Labels: ['Diabetes']
+Scores: [0.7105193138122559]
+Labels: ['Cancer']
+Scores: [0.10766497999429703]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013914652168750763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.31985533237457275]
+Labels: ['Mental Health']
+Scores: [0.0011281664483249187]
+Labels: ['Diabetes type 1']
+Scores: [0.03620167821645737]
+Labels: ['Diabetes type 2']
+Scores: [0.05986003950238228]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39407160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Nepal', 'Humans', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Services Accessibility', 'Health Care Surveys', 'Health Facilities', 'Female', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9202153086662292]
+Labels: ['Diabetes']
+Scores: [0.004971171263605356]
+Labels: ['Cancer']
+Scores: [0.0029559799004346132]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0456969290971756]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01581246592104435]
+Labels: ['Mental Health']
+Scores: [0.002400907687842846]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004355947021394968]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39404094
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fibrinolytic Agents', 'Subtilisins', 'Antioxidants', 'Oxidative Stress', 'Anti-Inflammatory Agents', 'Animals', 'Inflammation', 'Cardiovascular Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9450864791870117]
+Labels: ['Diabetes']
+Scores: [0.0035312757827341557]
+Labels: ['Cancer']
+Scores: [0.00325354328379035]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029279867187142372]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9911686182022095]
+Labels: ['Mental Health']
+Scores: [0.000944729195907712]
+Labels: ['Diabetes type 1']
+Scores: [0.007030170410871506]
+Labels: ['Diabetes type 2']
+Scores: [0.011074714362621307]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394102
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Communication Barriers', 'Aged', 'Rural Population', 'South Africa', 'Middle Aged', 'Qualitative Research', 'Interviews as Topic', 'Health Knowledge, Attitudes, Practice', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9372464418411255]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.010985393077135086]
+Labels: ['Cardiovascular diseases']
+Scores: [0.024297364056110382]
+Labels: ['Mental Health']
+Scores: [0.0018183310749009252]
+Labels: ['Diabetes type 1']
+Scores: [0.039629016071558]
+Labels: ['Diabetes type 2']
+Scores: [0.06835153698921204]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39391944
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Noncommunicable Diseases', 'Middle Aged', 'Cross-Sectional Studies', 'Prevalence', 'Chronic Disease', 'Beverages', 'Obesity', 'Aged', 'Neoplasms', 'Hypercholesterolemia', 'Young Adult', 'Diet', 'Alcoholic Beverages', 'Feeding Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8657180666923523]
+Labels: ['Diabetes']
+Scores: [0.42575716972351074]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.013069887645542622]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0368485152721405]
+Labels: ['Mental Health']
+Scores: [0.0024822650011628866]
+Labels: ['Diabetes type 1']
+Scores: [0.03445853665471077]
+Labels: ['Diabetes type 2']
+Scores: [0.050054676830768585]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39390457
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Satellite Imagery', 'Cardiovascular Diseases', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9712043404579163]
+Labels: ['Diabetes']
+Scores: [0.014478694647550583]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.08656790107488632]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.09729920327663422]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.01324273832142353]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39388415
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Alcohol Drinking', 'Exercise', 'Meta-Analysis as Topic', 'Noncommunicable Diseases', 'Prevalence', 'Risk Factors', 'Systematic Reviews as Topic', 'Tobacco Use']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0017961411504074931]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0014950840268284082]
+Labels: ['Diabetes type 2']
+Scores: [0.002073691925033927]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39386956
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Guyana', 'Humans', 'Noncommunicable Diseases', 'Qualitative Research', 'Health Policy', 'Government', 'Policy Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.989005446434021]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39379988
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Aged', 'Body Mass Index', 'Cardiovascular Diseases', 'China', 'Neoplasms', 'Age Factors', 'Cause of Death', 'Cohort Studies', 'Proportional Hazards Models', 'Weight Loss', 'Weight Gain', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39374955
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Research', 'Health Priorities', 'Biomedical Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9969094395637512]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369417
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Tertiary Care Centers', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Nepal', 'Health Knowledge, Attitudes, Practice', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.001699361251667142]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369183
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Female', 'Male', 'Aged', 'Asia, Central', 'Adult', 'Europe, Eastern', 'Noncommunicable Diseases', 'Mortality, Premature', 'Global Health', 'Global Burden of Disease', 'Cardiovascular Diseases', 'Neoplasms', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [4, 4]]
+---------------------------------
+---------------------------------
+PMID: 39368120
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Middle Aged', 'Adult', 'Male', 'Female', 'Noncommunicable Diseases', 'Natural Language Processing', 'Prevalence', 'Retrospective Studies', 'Hypertension', 'Aged', 'Adolescent', 'Young Adult', 'Diabetes Mellitus', 'Electronic Health Records', 'Obesity', 'Multimorbidity', 'Dyslipidemias', 'Mental Disorders', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39367295
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['India', 'Humans', 'Primary Health Care', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Comprehensive Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012041217647492886]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0005935968947596848]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39365121
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Dental Research']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0019414621638134122]
+Labels: ['Diabetes type 2']
+Scores: [0.0028064665384590626]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39363978
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29555290937423706]
+Labels: ['Diabetes']
+Scores: [0.006682750768959522]
+Labels: ['Cancer']
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+Scores: [0.0915740504860878]
+Labels: ['Cardiovascular diseases']
+Scores: [0.025718726217746735]
+Labels: ['Mental Health']
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+Scores: [0.005598325747996569]
+Labels: ['Diabetes type 2']
+Scores: [0.009693474508821964]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39356704
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Nepal', 'Adolescent', 'Middle Aged', 'Risk Factors', 'Young Adult', 'Hypertension', 'Obesity', 'Smoking', 'Prevalence', 'Overweight', 'Cluster Analysis', 'Noncommunicable Diseases', 'Health Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.952587902545929]
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+Scores: [0.004480783827602863]
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+Scores: [0.0425984263420105]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026545090600848198]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0043940795585513115]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352154
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malaysia', 'Female', 'Male', 'Adult', 'Cross-Sectional Studies', 'Health Knowledge, Attitudes, Practice', 'Noncommunicable Diseases', 'Middle Aged', 'Young Adult', 'Indigenous Peoples', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9773584604263306]
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+Labels: ['Cancer']
+Scores: [0.009421354159712791]
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+Scores: [0.29237452149391174]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.012090004980564117]
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+Labels: ['Diabetes type 2']
+Scores: [0.027549227699637413]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352096
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet', 'Obesity', 'Dysbiosis', 'Diabetes Mellitus, Type 2', 'Czech Republic', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9610547423362732]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39344941
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Mass Screening', 'Cardiovascular Diseases', 'Oral Health', 'Diabetes Mellitus', 'United Kingdom']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9788889288902283]
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+Labels: ['Cardiovascular diseases']
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+Scores: [0.03614093363285065]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39342408
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Mexico', 'Female', 'Male', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Ambulatory Care', 'Cross-Sectional Studies', 'Young Adult', 'Aged', 'Sex Factors', 'Healthcare Disparities']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39342100
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Female', 'Male', 'Qualitative Research', 'Fisheries', 'Adult', 'Middle Aged', 'Delayed Diagnosis', 'Patient Acceptance of Health Care', 'Interviews as Topic', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39339734
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet, Mediterranean', 'Dysbiosis', 'Diet, Western', 'Diet, Vegetarian', 'Diet', 'Methylamines', 'Fatty Acids, Volatile']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338107
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Sex Factors', 'Longitudinal Studies', 'Young Adult', 'Health Surveys', 'Prevalence', 'Socioeconomic Factors', 'Adolescent', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338026
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Developing Countries', 'Economic Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9669389128684998]
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39334103
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Metabolic Syndrome', 'Female', 'Male', 'Aged', 'Cross-Sectional Studies', 'Thailand', 'Multilevel Analysis', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39333314
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Wounds and Injuries', 'Female', 'Male', 'Neoplasms', 'Cardiovascular Diseases', 'Cause of Death', 'Global Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39324155
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ethiopia', 'Male', 'Female', 'Adult', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Belief Model', 'Middle Aged', 'Health Behavior', 'Surveys and Questionnaires', 'Health Promotion', 'Young Adult', 'Health Knowledge, Attitudes, Practice', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39308827
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Thailand', 'Particulate Matter', 'Noncommunicable Diseases', 'Female', 'Male', 'Air Pollutants', 'Environmental Exposure', 'Air Pollution', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39307578
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Noncommunicable Diseases', 'Postpartum Period', 'Parturition', 'Pregnancy Complications', 'Australia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9453548192977905]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.023360179737210274]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012230203486979008]
+Labels: ['Diabetes']
+Scores: [0.007901816628873348]
+Labels: ['Cancer']
+Scores: [0.03733232617378235]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004259536974132061]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7325254082679749]
+Labels: ['Mental Health']
+Scores: [0.000707630068063736]
+Labels: ['Diabetes type 1']
+Scores: [0.002288724761456251]
+Labels: ['Diabetes type 2']
+Scores: [0.0025417529977858067]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735640
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Blood Glucose', 'Class Ia Phosphatidylinositol 3-Kinase', 'Diabetes Mellitus', 'Growth Disorders', 'Hypercalcemia', 'Insulin Resistance', 'Nephrocalcinosis', 'Tooth Abnormalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04494353383779526]
+Labels: ['Diabetes']
+Scores: [0.944543719291687]
+Labels: ['Cancer']
+Scores: [0.002567931544035673]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014401570660993457]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00040526074008084834]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.025061801075935364]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.058281343430280685]
+Labels: ['Diabetes']
+Scores: [0.7750237584114075]
+Labels: ['Cancer']
+Scores: [0.018520936369895935]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13411648571491241]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2225130945444107]
+Labels: ['Mental Health']
+Scores: [0.006242124363780022]
+Labels: ['Diabetes type 1']
+Scores: [0.20456504821777344]
+Labels: ['Diabetes type 2']
+Scores: [0.4621719419956207]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.05143412947654724]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734205
+Predictions: ['Diabetes']
+MeshTerm: ['Administration, Oral', 'Insulin', 'Humans', 'Animals', 'Nanoparticles', 'Blood Glucose', 'Diabetes Mellitus', 'Particle Size', 'Hypoglycemic Agents', 'Drug Carriers', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015845004469156265]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.4376014173030853]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.14597027003765106]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732905
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Coronary Stenosis', 'Aged', 'Inflammation', 'Coronary Disease', 'Severity of Illness Index', 'Diabetes Mellitus', 'Prognosis', 'Risk Factors', 'Predictive Value of Tests']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9969848990440369]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sepsis', 'Male', 'Female', 'Aged', 'Middle Aged', 'Calcium', 'Diabetes Mellitus', 'Acid-Base Equilibrium', 'ROC Curve', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.16467195749282837]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732433
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Ethiopia', 'Risk Factors', 'Prevalence', 'Diabetic Angiopathies', 'Male', 'Female', 'Middle Aged', 'Adult', 'Risk Assessment', 'Diabetic Retinopathy', 'Aged', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Diabetes Mellitus', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.06430026143789291]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.16649553179740906]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730510
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Nutrition Surveys', 'Heart Diseases', 'Diabetes Mellitus', 'Waist Circumference', 'Body Mass Index', 'Adiposity', 'Risk Factors', 'Adipose Tissue', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013039439916610718]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.08699887990951538]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729755
+Predictions: ['Diabetes']
+MeshTerm: ['Biosensing Techniques', 'Microwaves', 'Humans', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Spectrum Analysis, Raman', 'Spectroscopy, Near-Infrared', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.5715770721435547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725454
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Kidney Transplantation', 'Male', 'Female', 'Child', 'Adolescent', 'Graft Survival', 'Graft Rejection', 'Diabetes Mellitus', 'Incidence', 'Retrospective Studies', 'Postoperative Complications', 'Survival Analysis', 'Child, Preschool', 'Transplant Recipients', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.31713810563087463]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723173
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Wound Healing', 'Hypoxia-Inducible Factor 1, alpha Subunit', 'Animals', 'Deferoxamine', 'Diabetes Mellitus', 'Glycine', 'Nanoparticles', 'Isoquinolines']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.20531269907951355]
+Labels: ['Diabetes type 2']
+Scores: [0.10966277122497559]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721299
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Elasticity Imaging Techniques', 'Pilot Projects', 'Male', 'Female', 'Pancreas', 'Middle Aged', 'Adult', 'Case-Control Studies', 'Aged', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04174498841166496]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0003514968848321587]
+Labels: ['Diabetes type 1']
+Scores: [0.055598314851522446]
+Labels: ['Diabetes type 2']
+Scores: [0.23619703948497772]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720256
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Extracellular Vesicles', 'Osteoporosis', 'Animals', 'Diabetes Complications', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022982418537139893]
+Labels: ['Diabetes']
+Scores: [0.520892858505249]
+Labels: ['Cancer']
+Scores: [0.001636248896829784]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014061297988519073]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014028054429218173]
+Labels: ['Mental Health']
+Scores: [0.0008295426960103214]
+Labels: ['Diabetes type 1']
+Scores: [0.04026525467634201]
+Labels: ['Diabetes type 2']
+Scores: [0.1720757633447647]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.0016357310814782977]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0008810255094431341]
+Labels: ['Diabetes type 1']
+Scores: [0.055866893380880356]
+Labels: ['Diabetes type 2']
+Scores: [0.3218516409397125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719762
+Predictions: ['Diabetes']
+MeshTerm: ['Particulate Matter', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Air Pollutants', 'Humans', 'Male', 'Prospective Studies', 'Air Pollution', 'Environmental Exposure', 'China', 'Aged', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009509652154520154]
+Labels: ['Diabetes']
+Scores: [0.0004458108451217413]
+Labels: ['Cancer']
+Scores: [0.015208899974822998]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005755344172939658]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000855070014949888]
+Labels: ['Mental Health']
+Scores: [0.011580176651477814]
+Labels: ['Diabetes type 1']
+Scores: [0.0006053540273569524]
+Labels: ['Diabetes type 2']
+Scores: [0.0006879069260321558]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719335
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Male', 'Female', 'Adult', 'Multimorbidity', 'Middle Aged', 'Chronic Disease', 'Prevalence', 'Aged', 'Hypertension', 'Obesity', 'Hyperuricemia', 'Dyslipidemias', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Adolescent', 'Rural Population', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022564347833395004]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4560118615627289]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.004018442705273628]
+Labels: ['Diabetes type 2']
+Scores: [0.005182807333767414]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719334
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Female', 'Male', 'Adult', 'Middle Aged', 'Prevalence', 'Hyperuricemia', 'Chronic Disease', 'Hypertension', 'Metabolic Diseases', 'Dyslipidemias', 'Aged', 'Diabetes Mellitus', 'Young Adult', 'Rural Population', 'Adolescent', 'Urban Population', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.013338510878384113]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719258
+Predictions: ['Diabetes']
+MeshTerm: ['MicroRNAs', 'Humans', 'Wound Healing', 'Animals', 'Signal Transduction', 'Diabetes Complications', 'Diabetes Mellitus', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718458
+Predictions: ['Diabetes']
+MeshTerm: ['Titanium', 'Insulin', 'Animals', 'Hypoglycemic Agents', 'Particle Size', 'Glucose', 'Materials Testing', 'Nanoparticles', 'Surface Properties', 'Biocompatible Materials', 'Diabetes Mellitus', 'Drug Delivery Systems', 'Mice', 'Diabetes Mellitus, Experimental', 'Humans', 'Boronic Acids']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717102
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Postmenopause', 'Middle Aged', 'Coronary Disease', 'Cholesterol', 'Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Prevalence', 'United States', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.06342623382806778]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717099
+Predictions: ['Diabetes']
+MeshTerm: ['Bibliometrics', 'Humans', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Inflammasomes', 'Diabetes Mellitus', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04138816520571709]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.10890281200408936]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.2839830219745636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716287
+Predictions: ['Diabetes']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Administration, Oral', 'Blood Glucose', 'Cholecalciferol', 'Creatine', 'Diabetes Mellitus', 'Dietary Supplements', 'Iran', 'Muscle Strength', 'Muscle, Skeletal', 'Oxidative Stress', 'Randomized Controlled Trials as Topic', 'Sarcopenia', 'Treatment Outcome', 'Valerates', 'Whey Proteins']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716100
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Gastrointestinal Microbiome', 'Kidney Transplantation', 'Postoperative Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.041296910494565964]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715819
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus', 'Egypt', 'Health Knowledge, Attitudes, Practice', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031283117830753326]
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+Labels: ['Cardiovascular diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715497
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'COVID-19 Vaccines', 'Antibodies, Neutralizing', 'COVID-19', 'Female', 'HIV Infections', 'Middle Aged', 'Antibodies, Viral', 'Immunoglobulin G', 'SARS-CoV-2', 'Immunity, Humoral', 'Adult', 'Diabetes Mellitus', 'Vaccination', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714194
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Middle Aged', 'Ischemic Stroke', 'Aged, 80 and over', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Age Factors', 'Blood Glucose', 'Prospective Studies']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714134
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Saliva', 'Metal-Organic Frameworks', 'Transistors, Electronic', 'Glucose', 'Electrodes', 'Biosensing Techniques', 'Electrochemical Techniques', 'Nickel', 'Particle Size']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.04105237498879433]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709946
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Transcription Factor 7-Like 2 Protein', 'beta Catenin', 'Wnt3A Protein', 'Wnt Signaling Pathway', 'Diabetic Nephropathies', 'Animals', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.057677704840898514]
+Labels: ['Diabetes type 2']
+Scores: [0.3290702700614929]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709804
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vaccination Coverage', 'Cross-Sectional Studies', 'Influenza, Human', 'Male', 'Influenza Vaccines', 'Female', 'Europe', 'Middle Aged', 'Aged', 'Diabetes Mellitus', 'Seasons', 'Vaccination', 'Social Determinants of Health', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021246125921607018]
+Labels: ['Diabetes']
+Scores: [0.28454503417015076]
+Labels: ['Cancer']
+Scores: [0.004882476758211851]
+Labels: ['Chronic respiratory disease']
+Scores: [0.34682613611221313]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00704161124303937]
+Labels: ['Mental Health']
+Scores: [0.00045514749945141375]
+Labels: ['Diabetes type 1']
+Scores: [0.050594594329595566]
+Labels: ['Diabetes type 2']
+Scores: [0.06242549791932106]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709395
+Predictions: ['Diabetes']
+MeshTerm: ['Bayes Theorem', 'Humans', 'Software', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0327032208442688]
+Labels: ['Diabetes']
+Scores: [0.012595610693097115]
+Labels: ['Cancer']
+Scores: [0.0758746862411499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018653420731425285]
+Labels: ['Cardiovascular diseases']
+Scores: [0.022376352921128273]
+Labels: ['Mental Health']
+Scores: [0.001280531520023942]
+Labels: ['Diabetes type 1']
+Scores: [0.003954796586185694]
+Labels: ['Diabetes type 2']
+Scores: [0.0038935979828238487]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Middle Aged', 'Retrospective Studies', 'Male', 'Adult', 'Female', 'Aged', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Aged, 80 and over', 'Oman', 'Body Mass Index', 'Blood Pressure', 'Young Adult', 'SARS-CoV-2', 'Hypertension', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.925854504108429]
+Labels: ['Diabetes']
+Scores: [0.9075210094451904]
+Labels: ['Cancer']
+Scores: [0.0007409349200315773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016963904723525047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013227530755102634]
+Labels: ['Mental Health']
+Scores: [0.0008516787784174085]
+Labels: ['Diabetes type 1']
+Scores: [0.16202634572982788]
+Labels: ['Diabetes type 2']
+Scores: [0.48695799708366394]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707324
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Triglycerides', 'Longitudinal Studies', 'Male', 'Middle Aged', 'Female', 'Blood Glucose', 'China', 'Aged', 'Obesity', 'Risk Factors', 'Insulin Resistance', 'Diabetes Mellitus', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020244533196091652]
+Labels: ['Diabetes']
+Scores: [0.35508695244789124]
+Labels: ['Cancer']
+Scores: [0.006408648565411568]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007196965627372265]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00918029248714447]
+Labels: ['Mental Health']
+Scores: [0.0007533198222517967]
+Labels: ['Diabetes type 1']
+Scores: [0.041099946945905685]
+Labels: ['Diabetes type 2']
+Scores: [0.044818051159381866]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707271
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Erectile Dysfunction', 'Ethiopia', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Hospitals, Public', 'Prevalence', 'Risk Factors', 'Diabetes Mellitus', 'Poisson Distribution', 'Young Adult', 'Diabetes Complications', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
+Scores: [0.9155341386795044]
+Labels: ['Cancer']
+Scores: [0.002051352523267269]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001430067466571927]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0039574159309268]
+Labels: ['Mental Health']
+Scores: [0.002777579938992858]
+Labels: ['Diabetes type 1']
+Scores: [0.12845000624656677]
+Labels: ['Diabetes type 2']
+Scores: [0.2994652986526489]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707185
+Predictions: ['Diabetes']
+MeshTerm: ['Gastrointestinal Microbiome', 'Humans', 'Diabetes Mellitus', 'Protein Interaction Maps', 'Network Pharmacology', 'Proto-Oncogene Proteins c-akt', 'Metabolome', 'PPAR gamma', 'Signal Transduction', 'Metabolomics', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04066057130694389]
+Labels: ['Diabetes']
+Scores: [0.9751330018043518]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.008229746483266354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.038626354187726974]
+Labels: ['Mental Health']
+Scores: [0.000848243129439652]
+Labels: ['Diabetes type 1']
+Scores: [0.5732848048210144]
+Labels: ['Diabetes type 2']
+Scores: [0.725149929523468]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706370
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Glucose Tolerance Test', 'Adult', 'Blood Glucose', 'Hyperglycemia', 'Glycated Hemoglobin', 'Insulin Resistance', 'China', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Aged', 'Insulin', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.005316771566867828]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012382394634187222]
+Labels: ['Mental Health']
+Scores: [0.0005578292766585946]
+Labels: ['Diabetes type 1']
+Scores: [0.16247424483299255]
+Labels: ['Diabetes type 2']
+Scores: [0.25233888626098633]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39705195
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cardio-Renal Syndrome', 'Diabetes Mellitus', 'Metabolic Diseases', 'Practice Guidelines as Topic', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02953052893280983]
+Labels: ['Diabetes']
+Scores: [0.9213612079620361]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0229998379945755]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9190582633018494]
+Labels: ['Mental Health']
+Scores: [0.0005818040226586163]
+Labels: ['Diabetes type 1']
+Scores: [0.021597858518362045]
+Labels: ['Diabetes type 2']
+Scores: [0.07562096416950226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703865
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Uric Acid', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Cholesterol, HDL', 'Prospective Studies', 'Adult', 'Biomarkers', 'Diabetes Mellitus', 'Prognosis', 'Aged', 'Nutrition Surveys', 'Cohort Studies', 'Follow-Up Studies', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
+Scores: [0.7832380533218384]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.028746074065566063]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9464197158813477]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.2317560315132141]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703057
+Predictions: ['Diabetes']
+MeshTerm: ['Strongyloides stercoralis', 'Strongyloidiasis', 'Animals', 'Humans', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.036141760647296906]
+Labels: ['Diabetes']
+Scores: [0.8704497218132019]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.08761218935251236]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0053948587737977505]
+Labels: ['Mental Health']
+Scores: [0.005902699660509825]
+Labels: ['Diabetes type 1']
+Scores: [0.049921754747629166]
+Labels: ['Diabetes type 2']
+Scores: [0.23409035801887512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702258
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nasopharynx', 'Male', 'Female', 'Case-Control Studies', 'Adult', 'Middle Aged', 'Ghana', 'Diabetes Mellitus', 'Aged', 'Bacteria', 'Young Adult', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07471107691526413]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.24128587543964386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004656375385820866]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.3557634651660919]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702047
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Malaysia', 'Male', 'Mobile Applications', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Telemedicine', 'Self-Management', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Aged', 'Diabetes Mellitus, Type 2', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.04911411553621292]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06688427180051804]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.47755444049835205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39700129
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Bangladesh', 'Hyperglycemia', 'Middle Aged', 'Tertiary Care Centers', 'Diabetes Mellitus', 'Prospective Studies', 'Adult', 'Follow-Up Studies', 'Aged', 'SARS-CoV-2', 'Hospitalization', 'Patient Discharge', 'Risk Factors', 'Socioeconomic Factors', 'Hospital Mortality']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.02389218471944332]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12964029610157013]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.07632859796285629]
+Labels: ['Diabetes type 2']
+Scores: [0.09825803339481354]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699704
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Hyperglycemia', 'Diabetes Mellitus', 'Risk Factors', 'Atherosclerosis', 'Blood Glucose']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.055038996040821075]
+Labels: ['Diabetes']
+Scores: [0.6687443256378174]
+Labels: ['Cancer']
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+Scores: [0.00804917048662901]
+Labels: ['Cardiovascular diseases']
+Scores: [0.36235684156417847]
+Labels: ['Mental Health']
+Scores: [0.001148552168160677]
+Labels: ['Diabetes type 1']
+Scores: [0.06562270224094391]
+Labels: ['Diabetes type 2']
+Scores: [0.12650279700756073]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699431
+Predictions: ['Diabetes']
+MeshTerm: ['Quality of Life', 'Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Patient Education as Topic', 'Educational Technology', 'Adult', 'Aged', 'Surveys and Questionnaires', 'Controlled Before-After Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030958043411374092]
+Labels: ['Diabetes']
+Scores: [0.9094061255455017]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.12146446853876114]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.1312430500984192]
+Labels: ['Diabetes type 2']
+Scores: [0.42429640889167786]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39698032
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Middle Aged', 'Intra-Abdominal Fat', 'Japan', 'Cohort Studies', 'Obesity, Abdominal', 'Adiposity', 'Diabetes Mellitus', 'Risk Factors', 'Blood Glucose', 'Longitudinal Studies', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.043885886669158936]
+Labels: ['Diabetes']
+Scores: [0.8409988284111023]
+Labels: ['Cancer']
+Scores: [0.013625537976622581]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.4646979868412018]
+Labels: ['Mental Health']
+Scores: [0.00048670079559087753]
+Labels: ['Diabetes type 1']
+Scores: [0.17375478148460388]
+Labels: ['Diabetes type 2']
+Scores: [0.4005283713340759]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696515
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Uric Acid', 'C-Reactive Protein', 'Male', 'Female', 'Insulin Resistance', 'Triglycerides', 'Cholesterol, HDL', 'Adult', 'Middle Aged', 'Risk Factors', 'Sex Factors', 'Diabetes Mellitus', 'Mediation Analysis', 'Biomarkers', 'Sex Characteristics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026351435109972954]
+Labels: ['Diabetes']
+Scores: [0.7499474287033081]
+Labels: ['Cancer']
+Scores: [0.005244196392595768]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020599670708179474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08432736247777939]
+Labels: ['Mental Health']
+Scores: [0.0010340417502447963]
+Labels: ['Diabetes type 1']
+Scores: [0.07434406876564026]
+Labels: ['Diabetes type 2']
+Scores: [0.12133754789829254]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696157
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'China', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Health Services Needs and Demand', 'Diabetes Mellitus', 'Young Adult', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Mass Screening', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02135881595313549]
+Labels: ['Diabetes']
+Scores: [0.9728330373764038]
+Labels: ['Cancer']
+Scores: [0.0004526861594058573]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002271176315844059]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0033247654791921377]
+Labels: ['Mental Health']
+Scores: [0.0003147584502585232]
+Labels: ['Diabetes type 1']
+Scores: [0.07290514558553696]
+Labels: ['Diabetes type 2']
+Scores: [0.27238526940345764]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696101
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Middle Aged', 'Health Surveys', 'Young Adult', 'Risk Factors', 'Sex Factors', 'Undiagnosed Diseases', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03431332856416702]
+Labels: ['Diabetes']
+Scores: [0.9063450694084167]
+Labels: ['Cancer']
+Scores: [0.007507593370974064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006601089145988226]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01431991159915924]
+Labels: ['Mental Health']
+Scores: [0.000866483140271157]
+Labels: ['Diabetes type 1']
+Scores: [0.08641712367534637]
+Labels: ['Diabetes type 2']
+Scores: [0.16110803186893463]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695649
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Diabetes Mellitus', 'Neural Networks, Computer', 'Middle Aged', 'Female', 'Male', 'Models, Statistical', 'Support Vector Machine', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.032149337232112885]
+Labels: ['Diabetes']
+Scores: [0.9972742199897766]
+Labels: ['Cancer']
+Scores: [0.0005033545894548297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018156150355935097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028192924335598946]
+Labels: ['Mental Health']
+Scores: [0.0009428610210306942]
+Labels: ['Diabetes type 1']
+Scores: [0.039801690727472305]
+Labels: ['Diabetes type 2']
+Scores: [0.5828700065612793]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695632
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Malawi', 'Qualitative Research', 'Female', 'Diabetes Mellitus', 'Focus Groups', 'Health Knowledge, Attitudes, Practice', 'Adult', 'Male', 'Nursing Staff, Hospital', 'Tertiary Care Centers', 'Clinical Competence', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08959006518125534]
+Labels: ['Diabetes']
+Scores: [0.7896252274513245]
+Labels: ['Cancer']
+Scores: [0.0009821461280807853]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0638149157166481]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08183291554450989]
+Labels: ['Mental Health']
+Scores: [0.00043369209743104875]
+Labels: ['Diabetes type 1']
+Scores: [0.23967915773391724]
+Labels: ['Diabetes type 2']
+Scores: [0.3771848678588867]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695379
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cluster Analysis', 'Regression Analysis', 'Models, Statistical', 'Algorithms', 'Diabetes Mellitus', 'Data Interpretation, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019774705171585083]
+Labels: ['Diabetes']
+Scores: [0.015976132825016975]
+Labels: ['Cancer']
+Scores: [0.046737901866436005]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028811139985919]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019695239141583443]
+Labels: ['Mental Health']
+Scores: [0.009568832814693451]
+Labels: ['Diabetes type 1']
+Scores: [0.006906425580382347]
+Labels: ['Diabetes type 2']
+Scores: [0.007890928536653519]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693799
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Prediabetic State', 'Incidence', 'Middle Aged', 'Depression', 'Triglycerides', 'United States', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Diabetes Mellitus', 'Aged', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03912440687417984]
+Labels: ['Diabetes']
+Scores: [0.31321945786476135]
+Labels: ['Cancer']
+Scores: [0.006192595232278109]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006032631266862154]
+Labels: ['Cardiovascular diseases']
+Scores: [0.024466749280691147]
+Labels: ['Mental Health']
+Scores: [0.9080592393875122]
+Labels: ['Diabetes type 1']
+Scores: [0.027618881314992905]
+Labels: ['Diabetes type 2']
+Scores: [0.0467020720243454]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693267
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Renal Dialysis', 'Kidney Failure, Chronic', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Blood Glucose', 'Precision Medicine', 'Hypoglycemic Agents', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01944264955818653]
+Labels: ['Diabetes']
+Scores: [0.9827799797058105]
+Labels: ['Cancer']
+Scores: [0.0017720083706080914]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005816592834889889]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6584604978561401]
+Labels: ['Mental Health']
+Scores: [0.001204039785079658]
+Labels: ['Diabetes type 1']
+Scores: [0.03153533488512039]
+Labels: ['Diabetes type 2']
+Scores: [0.19795972108840942]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39692388
+Predictions: ['Diabetes']
+MeshTerm: ['Adolescent', 'Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Young Adult', 'Arabs', 'Chronic Disease', 'Diabetes Mellitus', 'Health Status Disparities', 'Israel', 'Jews', 'Obesity', 'Prevalence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01567165181040764]
+Labels: ['Diabetes']
+Scores: [0.0011204194743186235]
+Labels: ['Cancer']
+Scores: [0.0028613319154828787]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05573909357190132]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012140631675720215]
+Labels: ['Mental Health']
+Scores: [0.011902798898518085]
+Labels: ['Diabetes type 1']
+Scores: [0.0009018377750180662]
+Labels: ['Diabetes type 2']
+Scores: [0.0009995602304115891]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686708
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Glycated Hemoglobin', 'Time Factors', 'Biometry', 'Models, Statistical', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008685710839927197]
+Labels: ['Diabetes']
+Scores: [0.0854400023818016]
+Labels: ['Cancer']
+Scores: [0.004962165839970112]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008552853018045425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006133191287517548]
+Labels: ['Mental Health']
+Scores: [0.0006471447413787246]
+Labels: ['Diabetes type 1']
+Scores: [0.02391767129302025]
+Labels: ['Diabetes type 2']
+Scores: [0.03996405750513077]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686687
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Colorectal Neoplasms', 'Metabolic Syndrome', 'Middle Aged', 'Early Detection of Cancer', 'Male', 'Europe', 'Female', 'Adult', 'Diabetes Mellitus', 'North America', 'Age Factors', 'Risk Factors', 'Mass Screening', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01806936413049698]
+Labels: ['Diabetes']
+Scores: [0.5556284785270691]
+Labels: ['Cancer']
+Scores: [0.6324459910392761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011108885519206524]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010096460580825806]
+Labels: ['Mental Health']
+Scores: [0.0004657988320104778]
+Labels: ['Diabetes type 1']
+Scores: [0.019900476559996605]
+Labels: ['Diabetes type 2']
+Scores: [0.026744699105620384]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684919
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cyclin-Dependent Kinase Inhibitor p21', 'Diabetes Mellitus', 'Animals', 'Metabolic Diseases', 'Insulin Resistance', 'DNA Damage']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017544293776154518]
+Labels: ['Diabetes']
+Scores: [0.9290515184402466]
+Labels: ['Cancer']
+Scores: [0.02386903204023838]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010659900726750493]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0020430325530469418]
+Labels: ['Mental Health']
+Scores: [0.0004417838354129344]
+Labels: ['Diabetes type 1']
+Scores: [0.04052563011646271]
+Labels: ['Diabetes type 2']
+Scores: [0.10320265591144562]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684905
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Cats', 'Insulin', 'Signal Transduction', 'Muscle, Skeletal', 'Biomarkers', 'Liver', 'Cat Diseases', 'Male', 'Pancreas', 'Diabetes Mellitus', 'Receptor, Insulin', 'Female', 'Insulin Resistance', 'Insulin Receptor Substrate Proteins', 'Glucagon-Like Peptide 1', 'Incretins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03493453934788704]
+Labels: ['Diabetes']
+Scores: [0.2945200204849243]
+Labels: ['Cancer']
+Scores: [0.007092770654708147]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0030398378148674965]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023753207176923752]
+Labels: ['Mental Health']
+Scores: [0.0003877108683809638]
+Labels: ['Diabetes type 1']
+Scores: [0.02516435645520687]
+Labels: ['Diabetes type 2']
+Scores: [0.02425251342356205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684868
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nanostructures', 'Pancreatic Diseases', 'Animals', 'Drug Delivery Systems', 'Pancreatic Neoplasms', 'Diabetes Mellitus', 'Drug Carriers', 'Pancreas']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030980288982391357]
+Labels: ['Diabetes']
+Scores: [0.051236674189567566]
+Labels: ['Cancer']
+Scores: [0.34450453519821167]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004471338354051113]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010274602100253105]
+Labels: ['Mental Health']
+Scores: [0.001640080357901752]
+Labels: ['Diabetes type 1']
+Scores: [0.02399020828306675]
+Labels: ['Diabetes type 2']
+Scores: [0.047176700085401535]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684468
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Apolipoprotein C-III', 'Cardiovascular Diseases', 'Animals', 'Diabetes Mellitus', 'Metabolic Diseases', 'Lipoproteins', 'Triglycerides', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008015474304556847]
+Labels: ['Diabetes']
+Scores: [0.895951509475708]
+Labels: ['Cancer']
+Scores: [0.000540246837772429]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007967636920511723]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7536780834197998]
+Labels: ['Mental Health']
+Scores: [0.0004919320927001536]
+Labels: ['Diabetes type 1']
+Scores: [0.03763861581683159]
+Labels: ['Diabetes type 2']
+Scores: [0.18172737956047058]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684379
+Predictions: ['Diabetes']
+MeshTerm: ['Leptin', 'Humans', 'Obesity', 'Metabolic Diseases', 'Diabetes Mellitus', 'Female', 'Male', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023256056010723114]
+Labels: ['Diabetes']
+Scores: [0.1593531221151352]
+Labels: ['Cancer']
+Scores: [0.00948230642825365]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015169852413237095]
+Labels: ['Cardiovascular diseases']
+Scores: [0.043354544788599014]
+Labels: ['Mental Health']
+Scores: [0.0009924599435180426]
+Labels: ['Diabetes type 1']
+Scores: [0.0597124919295311]
+Labels: ['Diabetes type 2']
+Scores: [0.1329941749572754]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Acetamides', 'Diabetes Mellitus', 'Depression', 'Antidepressive Agents', 'Depressive Disorder, Major', 'Blood Glucose', 'Glycated Hemoglobin', 'Treatment Outcome', 'Naphthalenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0171183031052351]
+Labels: ['Diabetes']
+Scores: [0.9122014045715332]
+Labels: ['Cancer']
+Scores: [0.0007512884913012385]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003645780961960554]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0031729897018522024]
+Labels: ['Mental Health']
+Scores: [0.023589102551341057]
+Labels: ['Diabetes type 1']
+Scores: [0.0412478968501091]
+Labels: ['Diabetes type 2']
+Scores: [0.11306605488061905]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39683638
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ferritins', 'Male', 'Middle Aged', 'Female', 'Mongolia', 'Cross-Sectional Studies', 'Cardiovascular Diseases', 'Meat', 'Diet', 'Heart Disease Risk Factors', 'Adult', 'Biomarkers', 'Aged', 'Diabetes Mellitus', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024205749854445457]
+Labels: ['Diabetes']
+Scores: [0.9881023168563843]
+Labels: ['Cancer']
+Scores: [0.0008074852521531284]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00882809516042471]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9245680570602417]
+Labels: ['Mental Health']
+Scores: [0.0004000623302999884]
+Labels: ['Diabetes type 1']
+Scores: [0.06930238753557205]
+Labels: ['Diabetes type 2']
+Scores: [0.10768835991621017]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Blood Glucose', 'Independent Living', 'Italy', 'Fatty Acids, Unsaturated', 'Diabetes Mellitus', 'Aged, 80 and over', 'Diet', 'Blood Pressure', 'Cardiometabolic Risk Factors', 'Fatty Acids, Omega-3', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03450746089220047]
+Labels: ['Diabetes']
+Scores: [0.5524470806121826]
+Labels: ['Cancer']
+Scores: [0.03326812759041786]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010654233396053314]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08512479811906815]
+Labels: ['Mental Health']
+Scores: [0.0014203842729330063]
+Labels: ['Diabetes type 1']
+Scores: [0.05089535564184189]
+Labels: ['Diabetes type 2']
+Scores: [0.0994093045592308]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39683416
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Dietary Supplements', 'Female', 'Nutrition Surveys', 'Male', 'Middle Aged', 'Adult', 'United States', 'Diabetes Mellitus', 'Motivation', 'Aged', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0520918183028698]
+Labels: ['Diabetes']
+Scores: [0.9911132454872131]
+Labels: ['Cancer']
+Scores: [0.005710498429834843]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012247373349964619]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03502565249800682]
+Labels: ['Mental Health']
+Scores: [0.00032375456066802144]
+Labels: ['Diabetes type 1']
+Scores: [0.13377690315246582]
+Labels: ['Diabetes type 2']
+Scores: [0.3895229995250702]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681993
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Dogs', 'Dog Diseases', 'Fatty Liver', 'Tomography, X-Ray Computed', 'Male', 'Liver', 'Female', 'Diabetic Ketoacidosis', 'Diabetes Mellitus', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028420012444257736]
+Labels: ['Diabetes']
+Scores: [0.9158343076705933]
+Labels: ['Cancer']
+Scores: [0.0011427466524764895]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012908931821584702]
+Labels: ['Cardiovascular diseases']
+Scores: [0.27443909645080566]
+Labels: ['Mental Health']
+Scores: [0.0008942453423514962]
+Labels: ['Diabetes type 1']
+Scores: [0.05021005496382713]
+Labels: ['Diabetes type 2']
+Scores: [0.32758358120918274]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681831
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Fear', 'Feeding Behavior', 'Diabetes Mellitus', 'Cognitive Behavioral Therapy', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07095586508512497]
+Labels: ['Diabetes']
+Scores: [0.9643126726150513]
+Labels: ['Cancer']
+Scores: [0.012781340628862381]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003970624879002571]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9780341982841492]
+Labels: ['Mental Health']
+Scores: [0.0404205396771431]
+Labels: ['Diabetes type 1']
+Scores: [0.14893661439418793]
+Labels: ['Diabetes type 2']
+Scores: [0.35338109731674194]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39681614
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Polyradiculoneuropathy, Chronic Inflammatory Demyelinating', 'Male', 'Diabetic Neuropathies', 'Female', 'Middle Aged', 'Ultrasonography', 'Diagnosis, Differential', 'Aged', 'Neural Conduction', 'ROC Curve', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02824106253683567]
+Labels: ['Diabetes']
+Scores: [0.7064562439918518]
+Labels: ['Cancer']
+Scores: [0.0032355112489312887]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01908261515200138]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16425175964832306]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.08864259719848633]
+Labels: ['Diabetes type 2']
+Scores: [0.32265886664390564]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681186
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Risk Factors', 'Nutrition Surveys', 'United States', 'Dementia', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Obesity', 'Smoking', 'Hypertension', 'Alcohol Drinking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019507458433508873]
+Labels: ['Diabetes']
+Scores: [0.10626471787691116]
+Labels: ['Cancer']
+Scores: [0.0052729113958776]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0029453879687935114]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003688027150928974]
+Labels: ['Mental Health']
+Scores: [0.02385006844997406]
+Labels: ['Diabetes type 1']
+Scores: [0.008273454383015633]
+Labels: ['Diabetes type 2']
+Scores: [0.012578902766108513]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680279
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Recurrence', 'Computer Simulation', 'Models, Statistical', 'Proportional Hazards Models', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04306110739707947]
+Labels: ['Diabetes']
+Scores: [0.10258091986179352]
+Labels: ['Cancer']
+Scores: [0.040763210505247116]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01364258024841547]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02259189821779728]
+Labels: ['Mental Health']
+Scores: [0.001360526424832642]
+Labels: ['Diabetes type 1']
+Scores: [0.029513413086533546]
+Labels: ['Diabetes type 2']
+Scores: [0.06632883846759796]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680083
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Bursitis', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Aged', 'Dilatation', 'Range of Motion, Articular', 'Shoulder Joint', 'Treatment Outcome', 'Pain Measurement', 'Adult', 'Diabetes Mellitus', 'Diabetes Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0631055235862732]
+Labels: ['Diabetes']
+Scores: [0.9106307029724121]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.030755067244172096]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08233151584863663]
+Labels: ['Mental Health']
+Scores: [0.00050125434063375]
+Labels: ['Diabetes type 1']
+Scores: [0.10284119099378586]
+Labels: ['Diabetes type 2']
+Scores: [0.26429563760757446]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678201
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Food Insecurity', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Adult', 'Social Class', 'Family Characteristics', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016773646697402]
+Labels: ['Diabetes']
+Scores: [0.16948357224464417]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.004816650412976742]
+Labels: ['Cardiovascular diseases']
+Scores: [0.017216503620147705]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.033589478582143784]
+Labels: ['Diabetes type 2']
+Scores: [0.0615588054060936]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39676179
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Holistic Health', 'Mind-Body Therapies', 'Diabetes Mellitus', 'Neurosecretory Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06520259380340576]
+Labels: ['Diabetes']
+Scores: [0.8164836764335632]
+Labels: ['Cancer']
+Scores: [0.020076433196663857]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.014483707956969738]
+Labels: ['Mental Health']
+Scores: [0.0055557601153850555]
+Labels: ['Diabetes type 1']
+Scores: [0.1509106159210205]
+Labels: ['Diabetes type 2']
+Scores: [0.269926518201828]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39675484
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Adult', 'Aged', 'Body Mass Index', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018364598974585533]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.08833079785108566]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01995006389915943]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9896044135093689]
+Labels: ['Mental Health']
+Scores: [0.0006138351745903492]
+Labels: ['Diabetes type 1']
+Scores: [0.14663074910640717]
+Labels: ['Diabetes type 2']
+Scores: [0.3019154667854309]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39674445
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Arsenic', 'Homeostasis', 'Animals', 'Glucose', 'Diabetes Mellitus', 'Microbiota', 'Gastrointestinal Microbiome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03595009446144104]
+Labels: ['Diabetes']
+Scores: [0.6491075754165649]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.03359037637710571]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011665329337120056]
+Labels: ['Mental Health']
+Scores: [0.0032257947605103254]
+Labels: ['Diabetes type 1']
+Scores: [0.0796552374958992]
+Labels: ['Diabetes type 2']
+Scores: [0.1422712504863739]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673957
+Predictions: ['Diabetes']
+MeshTerm: ['Acetone', 'Zinc Oxide', 'Biosensing Techniques', 'Humans', 'Optical Fibers', 'Diabetes Mellitus', 'Biomarkers', 'Limit of Detection', 'Breath Tests', 'Equipment Design', 'Volatile Organic Compounds', 'Fiber Optic Technology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.038712482899427414]
+Labels: ['Diabetes']
+Scores: [0.7813296914100647]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.03932175412774086]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0042689526453614235]
+Labels: ['Mental Health']
+Scores: [0.0009549777605570853]
+Labels: ['Diabetes type 1']
+Scores: [0.08304574340581894]
+Labels: ['Diabetes type 2']
+Scores: [0.14766955375671387]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673919
+Predictions: ['Diabetes', 'Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Incidence', 'Adult', 'Aged', 'Diabetes Mellitus', 'New Zealand', 'Young Adult', 'Registries', 'Cohort Studies', 'Adolescent', 'Aged, 80 and over', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017577238380908966]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0036822545807808638]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0224924236536026]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.010063483379781246]
+Labels: ['Diabetes type 2']
+Scores: [0.013991361483931541]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673498
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Female', 'Self Care', 'Primary Health Care', 'Middle Aged', 'Aged', 'Follow-Up Studies', 'Longitudinal Studies', 'Hypertension', 'Coronary Artery Disease', 'Diabetes Mellitus', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0018285769037902355]
+Labels: ['Diabetes']
+Scores: [0.0006711100577376783]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0037323045544326305]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002549977507442236]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0007050379645079374]
+Labels: ['Diabetes type 2']
+Scores: [0.0009797965176403522]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39672014
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Artificial Intelligence', 'Machine Learning', 'Deep Learning', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03892799839377403]
+Labels: ['Diabetes']
+Scores: [0.9384652972221375]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.015983615070581436]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012118731625378132]
+Labels: ['Mental Health']
+Scores: [0.0012037361739203334]
+Labels: ['Diabetes type 1']
+Scores: [0.09276449680328369]
+Labels: ['Diabetes type 2']
+Scores: [0.2725951671600342]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671511
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Male', 'Female', 'Cross-Sectional Studies', 'Hypertension', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Exercise', 'Coronary Artery Disease', 'Prospective Studies', 'Young Adult', 'Cardiometabolic Risk Factors', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029460525140166283]
+Labels: ['Diabetes']
+Scores: [0.0036487439647316933]
+Labels: ['Cancer']
+Scores: [0.05572809651494026]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15739752352237701]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9940036535263062]
+Labels: ['Mental Health']
+Scores: [0.004736721981316805]
+Labels: ['Diabetes type 1']
+Scores: [0.010529618710279465]
+Labels: ['Diabetes type 2']
+Scores: [0.012305599637329578]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39671417
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Female', 'Male', 'COVID-19', 'Adult', 'Diabetes Mellitus', 'Middle Aged', 'Puerto Rico', 'COVID-19 Vaccines', 'Aged', 'Surveys and Questionnaires', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004836801439523697]
+Labels: ['Diabetes']
+Scores: [0.17405393719673157]
+Labels: ['Cancer']
+Scores: [0.0006518644513562322]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05224863067269325]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014972938224673271]
+Labels: ['Mental Health']
+Scores: [0.00044265479664318264]
+Labels: ['Diabetes type 1']
+Scores: [0.029753969982266426]
+Labels: ['Diabetes type 2']
+Scores: [0.048382893204689026]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Liver Diseases', 'Aged', 'Analgesics, Opioid', 'United States', 'Liver Cirrhosis', 'Chronic Disease', 'Cohort Studies', 'Liver Neoplasms', 'Diabetes Mellitus', 'Logistic Models', 'Arthritis', 'Health Surveys', 'Chronic Pain', 'Hepatitis, Viral, Human', 'Renal Insufficiency, Chronic', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00809374637901783]
+Labels: ['Diabetes']
+Scores: [0.0015866357134655118]
+Labels: ['Cancer']
+Scores: [0.0033101853914558887]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015127497026696801]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007255645468831062]
+Labels: ['Mental Health']
+Scores: [0.0003615714085754007]
+Labels: ['Diabetes type 1']
+Scores: [0.0016772346571087837]
+Labels: ['Diabetes type 2']
+Scores: [0.003978924360126257]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670442
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Animals', 'Lipocalin-2', 'Diabetic Neuropathies', 'Oxidative Stress', 'Molecular Targeted Therapy', 'Quality of Life', 'Cognitive Dysfunction', 'Drug Development', 'Blood-Brain Barrier', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05224630609154701]
+Labels: ['Diabetes']
+Scores: [0.9469271898269653]
+Labels: ['Cancer']
+Scores: [0.0010167132131755352]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004267032723873854]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027254994492977858]
+Labels: ['Mental Health']
+Scores: [0.0007391728577204049]
+Labels: ['Diabetes type 1']
+Scores: [0.02787509746849537]
+Labels: ['Diabetes type 2']
+Scores: [0.5524786710739136]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670363
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Computational Biology', 'Diabetes Mellitus', 'Benchmarking', 'Blood Glucose', 'Wearable Electronic Devices', 'Smartphone', 'Mobile Applications', 'Language', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011637784540653229]
+Labels: ['Diabetes']
+Scores: [0.7194923758506775]
+Labels: ['Cancer']
+Scores: [0.0006859299028292298]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01943736895918846]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6852957010269165]
+Labels: ['Mental Health']
+Scores: [0.0007482293294742703]
+Labels: ['Diabetes type 1']
+Scores: [0.02507634274661541]
+Labels: ['Diabetes type 2']
+Scores: [0.20416194200515747]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39667764
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Diabetic Foot', 'Osteomyelitis', 'Diabetes Mellitus', 'Anti-Infective Agents, Local']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.043439529836177826]
+Labels: ['Diabetes']
+Scores: [0.8834059834480286]
+Labels: ['Cancer']
+Scores: [0.0021927831694483757]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004642156884074211]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002239616820588708]
+Labels: ['Mental Health']
+Scores: [0.001110111246816814]
+Labels: ['Diabetes type 1']
+Scores: [0.0935538038611412]
+Labels: ['Diabetes type 2']
+Scores: [0.20661653578281403]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666834
+Predictions: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Aged', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020455921068787575]
+Labels: ['Diabetes']
+Scores: [0.985287070274353]
+Labels: ['Cancer']
+Scores: [0.0832788422703743]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022995690815150738]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9800440669059753]
+Labels: ['Mental Health']
+Scores: [0.001300412812270224]
+Labels: ['Diabetes type 1']
+Scores: [0.0640893206000328]
+Labels: ['Diabetes type 2']
+Scores: [0.17412953078746796]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666732
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Insulin', 'Aged', 'Diabetes Mellitus', 'Hospitalization', 'Frail Elderly', 'Hypoglycemic Agents', 'Female', 'Male', 'Hospitals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02691814862191677]
+Labels: ['Diabetes']
+Scores: [0.9337071776390076]
+Labels: ['Cancer']
+Scores: [0.008279087953269482]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012254063971340656]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023512491956353188]
+Labels: ['Mental Health']
+Scores: [0.0015259524807333946]
+Labels: ['Diabetes type 1']
+Scores: [0.2691468298435211]
+Labels: ['Diabetes type 2']
+Scores: [0.5583654642105103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666445
+Predictions: ['Diabetes']
+MeshTerm: ['Bone Regeneration', 'Humans', 'Drug Delivery Systems', 'Animals', 'Diabetes Mellitus', 'Neovascularization, Physiologic', 'Osteogenesis', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015317329205572605]
+Labels: ['Diabetes']
+Scores: [0.9728975296020508]
+Labels: ['Cancer']
+Scores: [0.0013722737785428762]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004614285193383694]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01765347830951214]
+Labels: ['Mental Health']
+Scores: [0.0013390588574111462]
+Labels: ['Diabetes type 1']
+Scores: [0.00971251167356968]
+Labels: ['Diabetes type 2']
+Scores: [0.15600743889808655]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021901655942201614]
+Labels: ['Diabetes']
+Scores: [0.9962021708488464]
+Labels: ['Cancer']
+Scores: [0.0008293708669953048]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003989404533058405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.041477467864751816]
+Labels: ['Mental Health']
+Scores: [0.0004723000747617334]
+Labels: ['Diabetes type 1']
+Scores: [0.02391183376312256]
+Labels: ['Diabetes type 2']
+Scores: [0.8181951642036438]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666397
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'COVID-19', 'Invasive Pulmonary Aspergillosis', 'Retrospective Studies', 'Case-Control Studies', 'Aged', 'Severity of Illness Index', 'SARS-CoV-2', 'Smoking', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011157439090311527]
+Labels: ['Diabetes']
+Scores: [0.4306502640247345]
+Labels: ['Cancer']
+Scores: [0.01820196770131588]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9170951843261719]
+Labels: ['Cardiovascular diseases']
+Scores: [0.565741777420044]
+Labels: ['Mental Health']
+Scores: [0.000306623347569257]
+Labels: ['Diabetes type 1']
+Scores: [0.035703394562006]
+Labels: ['Diabetes type 2']
+Scores: [0.047020286321640015]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39665943
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vascular Stiffness', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Middle Aged', 'Hypertension', 'Glomerular Filtration Rate', 'Aged', 'Biomarkers', 'Albuminuria', 'Kidney', 'Cross-Sectional Studies', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02335447259247303]
+Labels: ['Diabetes']
+Scores: [0.45043468475341797]
+Labels: ['Cancer']
+Scores: [0.0008891260949894786]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020493201911449432]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9950239658355713]
+Labels: ['Mental Health']
+Scores: [0.0004917822079733014]
+Labels: ['Diabetes type 1']
+Scores: [0.015716027468442917]
+Labels: ['Diabetes type 2']
+Scores: [0.06778236478567123]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39665157
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Protein Glutamine gamma Glutamyltransferase 2', 'Transglutaminases', 'Male', 'Female', 'Aged', 'Vasodilation', 'Endothelium, Vascular', 'GTP-Binding Proteins', 'Arteries', 'Vascular Resistance', 'Sex Factors', 'Diabetes Mellitus', 'Vasodilator Agents', 'Enzyme Inhibitors', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04808882251381874]
+Labels: ['Diabetes']
+Scores: [0.9473801255226135]
+Labels: ['Cancer']
+Scores: [0.002168311271816492]
+Labels: ['Chronic respiratory disease']
+Scores: [0.033255528658628464]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9438143968582153]
+Labels: ['Mental Health']
+Scores: [0.0018886750331148505]
+Labels: ['Diabetes type 1']
+Scores: [0.06285985559225082]
+Labels: ['Diabetes type 2']
+Scores: [0.5971800088882446]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009925764985382557]
+Labels: ['Diabetes']
+Scores: [0.0008692058618180454]
+Labels: ['Cancer']
+Scores: [0.9878436923027039]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017685600323602557]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001537889358587563]
+Labels: ['Mental Health']
+Scores: [0.0007522214436903596]
+Labels: ['Diabetes type 1']
+Scores: [0.001051398110575974]
+Labels: ['Diabetes type 2']
+Scores: [0.0009919973090291023]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012321727350354195]
+Labels: ['Diabetes']
+Scores: [0.0007937808986753225]
+Labels: ['Cancer']
+Scores: [0.8561127185821533]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010872827842831612]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007219486869871616]
+Labels: ['Mental Health']
+Scores: [0.0005507298628799617]
+Labels: ['Diabetes type 1']
+Scores: [0.0009332802728749812]
+Labels: ['Diabetes type 2']
+Scores: [0.0009892864618450403]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02315755933523178]
+Labels: ['Diabetes']
+Scores: [0.0004244380979798734]
+Labels: ['Cancer']
+Scores: [0.9769040942192078]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005226746434345841]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00046674234909005463]
+Labels: ['Mental Health']
+Scores: [0.00048604386392980814]
+Labels: ['Diabetes type 1']
+Scores: [0.0004435183072928339]
+Labels: ['Diabetes type 2']
+Scores: [0.00044801129843108356]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009643279947340488]
+Labels: ['Diabetes']
+Scores: [0.0007460881606675684]
+Labels: ['Cancer']
+Scores: [0.9720420241355896]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000695935043040663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005570259527303278]
+Labels: ['Mental Health']
+Scores: [0.0005476223886944354]
+Labels: ['Diabetes type 1']
+Scores: [0.0006786677986383438]
+Labels: ['Diabetes type 2']
+Scores: [0.0006931921234354377]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021326513960957527]
+Labels: ['Diabetes']
+Scores: [0.002176100853830576]
+Labels: ['Cancer']
+Scores: [0.7478674650192261]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018888022750616074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019357374403625727]
+Labels: ['Mental Health']
+Scores: [0.0008770076674409211]
+Labels: ['Diabetes type 1']
+Scores: [0.0021374716889113188]
+Labels: ['Diabetes type 2']
+Scores: [0.002722056582570076]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015615255571901798]
+Labels: ['Diabetes']
+Scores: [0.0008602141751907766]
+Labels: ['Cancer']
+Scores: [0.0805896744132042]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011979778297245502]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004151489119976759]
+Labels: ['Mental Health']
+Scores: [0.000516850792337209]
+Labels: ['Diabetes type 1']
+Scores: [0.0011023866245523095]
+Labels: ['Diabetes type 2']
+Scores: [0.001022024778649211]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022691847756505013]
+Labels: ['Diabetes']
+Scores: [0.0003568582469597459]
+Labels: ['Cancer']
+Scores: [0.9202244281768799]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005591774242930114]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000576759921386838]
+Labels: ['Mental Health']
+Scores: [0.00036958983400836587]
+Labels: ['Diabetes type 1']
+Scores: [0.0003994470171164721]
+Labels: ['Diabetes type 2']
+Scores: [0.00042398416553623974]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016543516889214516]
+Labels: ['Diabetes']
+Scores: [0.0013879846083000302]
+Labels: ['Cancer']
+Scores: [0.950371265411377]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0024454689119011164]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019440813921391964]
+Labels: ['Mental Health']
+Scores: [0.001252285554073751]
+Labels: ['Diabetes type 1']
+Scores: [0.0019224031129851937]
+Labels: ['Diabetes type 2']
+Scores: [0.0019509707344695926]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05396432802081108]
+Labels: ['Diabetes']
+Scores: [0.000331113493302837]
+Labels: ['Cancer']
+Scores: [0.6909811496734619]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0033896134700626135]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015579703031107783]
+Labels: ['Mental Health']
+Scores: [0.00034270345349796116]
+Labels: ['Diabetes type 1']
+Scores: [0.0003755302750505507]
+Labels: ['Diabetes type 2']
+Scores: [0.00038136751390993595]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023747242987155914]
+Labels: ['Diabetes']
+Scores: [0.00109735201112926]
+Labels: ['Cancer']
+Scores: [0.8073949217796326]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006508014164865017]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001472583506256342]
+Labels: ['Mental Health']
+Scores: [0.0005001105600968003]
+Labels: ['Diabetes type 1']
+Scores: [0.000776386063080281]
+Labels: ['Diabetes type 2']
+Scores: [0.0007578353397548199]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008997627533972263]
+Labels: ['Diabetes']
+Scores: [0.0010383169865235686]
+Labels: ['Cancer']
+Scores: [0.8442762494087219]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001470870804041624]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015163321513682604]
+Labels: ['Mental Health']
+Scores: [0.0007793692057020962]
+Labels: ['Diabetes type 1']
+Scores: [0.0010355005506426096]
+Labels: ['Diabetes type 2']
+Scores: [0.0010260760318487883]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008641641587018967]
+Labels: ['Diabetes']
+Scores: [0.0029397013131529093]
+Labels: ['Cancer']
+Scores: [0.04098116606473923]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00261351908557117]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011782617075368762]
+Labels: ['Mental Health']
+Scores: [0.0006163780926726758]
+Labels: ['Diabetes type 1']
+Scores: [0.003284711390733719]
+Labels: ['Diabetes type 2']
+Scores: [0.004170833621174097]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015273596160113811]
+Labels: ['Diabetes']
+Scores: [0.0005564055754803121]
+Labels: ['Cancer']
+Scores: [0.9536007046699524]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016686609014868736]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013844845816493034]
+Labels: ['Mental Health']
+Scores: [0.0006653494783677161]
+Labels: ['Diabetes type 1']
+Scores: [0.000911628594622016]
+Labels: ['Diabetes type 2']
+Scores: [0.0009193401783704758]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03335484489798546]
+Labels: ['Diabetes']
+Scores: [0.006397709716111422]
+Labels: ['Cancer']
+Scores: [0.02284470945596695]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01595376618206501]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0031303984578698874]
+Labels: ['Mental Health']
+Scores: [0.0032326795626431704]
+Labels: ['Diabetes type 1']
+Scores: [0.006694630719721317]
+Labels: ['Diabetes type 2']
+Scores: [0.00678375456482172]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013124152086675167]
+Labels: ['Diabetes']
+Scores: [0.0004922687658108771]
+Labels: ['Cancer']
+Scores: [0.9892460703849792]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011879693483933806]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006797248497605324]
+Labels: ['Mental Health']
+Scores: [0.00033837155206128955]
+Labels: ['Diabetes type 1']
+Scores: [0.0006101102335378528]
+Labels: ['Diabetes type 2']
+Scores: [0.0005658718291670084]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030916498973965645]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.10499660670757294]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0023232365492731333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009188300929963589]
+Labels: ['Mental Health']
+Scores: [0.00030362088000401855]
+Labels: ['Diabetes type 1']
+Scores: [0.000992163666523993]
+Labels: ['Diabetes type 2']
+Scores: [0.00048397728824056685]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024050386622548103]
+Labels: ['Diabetes']
+Scores: [0.0017849154537543654]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.002411199500784278]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0025991841685026884]
+Labels: ['Mental Health']
+Scores: [0.0005739565240219235]
+Labels: ['Diabetes type 1']
+Scores: [0.0022229740861803293]
+Labels: ['Diabetes type 2']
+Scores: [0.002009388990700245]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023818012326955795]
+Labels: ['Diabetes']
+Scores: [0.0003245063708163798]
+Labels: ['Cancer']
+Scores: [0.9496912360191345]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0058814710937440395]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004352204967290163]
+Labels: ['Mental Health']
+Scores: [0.00031989082344807684]
+Labels: ['Diabetes type 1']
+Scores: [0.0007328835781663656]
+Labels: ['Diabetes type 2']
+Scores: [0.000673649541568011]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012230203486979008]
+Labels: ['Diabetes']
+Scores: [0.007901816628873348]
+Labels: ['Cancer']
+Scores: [0.03733232617378235]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004259536974132061]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7325254082679749]
+Labels: ['Mental Health']
+Scores: [0.000707630068063736]
+Labels: ['Diabetes type 1']
+Scores: [0.002288724761456251]
+Labels: ['Diabetes type 2']
+Scores: [0.0025417529977858067]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.037854209542274475]
+Labels: ['Diabetes']
+Scores: [0.00034824656904675066]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.008364117704331875]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06667820364236832]
+Labels: ['Mental Health']
+Scores: [0.0005095525993965566]
+Labels: ['Diabetes type 1']
+Scores: [0.0005177808925509453]
+Labels: ['Diabetes type 2']
+Scores: [0.0005207484937272966]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736556
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Information Seeking Behavior', 'Early Detection of Cancer', 'Qualitative Research', 'Neoplasms', 'Needs Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019000818952918053]
+Labels: ['Diabetes']
+Scores: [0.0005120927235111594]
+Labels: ['Cancer']
+Scores: [0.9752506017684937]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021609633695334196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004628465976566076]
+Labels: ['Mental Health']
+Scores: [0.0003808133478742093]
+Labels: ['Diabetes type 1']
+Scores: [0.0007078458438627422]
+Labels: ['Diabetes type 2']
+Scores: [0.0007062523509375751]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736554
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Middle East', 'Male', 'Africa, Northern', 'Neoplasms', 'Incidence', 'Female', 'Child', 'Adolescent', 'Child, Preschool', 'Infant', 'Health Status Disparities', 'Socioeconomic Factors', 'Young Adult', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0559285469353199]
+Labels: ['Diabetes']
+Scores: [0.0005398426437750459]
+Labels: ['Cancer']
+Scores: [0.9181200265884399]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001824123552069068]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016256453469395638]
+Labels: ['Mental Health']
+Scores: [0.0010996906785294414]
+Labels: ['Diabetes type 1']
+Scores: [0.0010442808270454407]
+Labels: ['Diabetes type 2']
+Scores: [0.001026713871397078]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736368
+Predictions: ['Cancer']
+MeshTerm: ['Ferroptosis', 'Photochemotherapy', 'Humans', 'Photosensitizing Agents', 'Reactive Oxygen Species', 'Neoplasms', 'Lipid Peroxidation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014146458357572556]
+Labels: ['Diabetes']
+Scores: [0.0014707980444654822]
+Labels: ['Cancer']
+Scores: [0.6631473302841187]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019386870553717017]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002159516094252467]
+Labels: ['Mental Health']
+Scores: [0.001255539245903492]
+Labels: ['Diabetes type 1']
+Scores: [0.002523662755265832]
+Labels: ['Diabetes type 2']
+Scores: [0.0025242618285119534]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736217
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Bacteria', 'Surface Properties', 'Animals', 'Biological Products', 'Neoplasms', 'Biological Therapy', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020668623968958855]
+Labels: ['Diabetes']
+Scores: [0.018067171797156334]
+Labels: ['Cancer']
+Scores: [0.026415010914206505]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023792071267962456]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023403882514685392]
+Labels: ['Mental Health']
+Scores: [0.001248482265509665]
+Labels: ['Diabetes type 1']
+Scores: [0.009903373196721077]
+Labels: ['Diabetes type 2']
+Scores: [0.012244444340467453]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736186
+Predictions: ['Cancer']
+MeshTerm: ['Spectrum Analysis, Raman', 'Humans', 'N-Acetylneuraminic Acid', 'Biomarkers, Tumor', 'Neoplasms', 'Animals', 'Polysaccharides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017797870561480522]
+Labels: ['Diabetes']
+Scores: [0.0006131256814114749]
+Labels: ['Cancer']
+Scores: [0.872587263584137]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010189542081207037]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008543250150978565]
+Labels: ['Mental Health']
+Scores: [0.00036986314808018506]
+Labels: ['Diabetes type 1']
+Scores: [0.0009807758033275604]
+Labels: ['Diabetes type 2']
+Scores: [0.0010393706616014242]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736017
+Predictions: ['Cancer']
+MeshTerm: ['Mesenchymal Stem Cells', 'Neoplasms', 'Gene Expression', 'Humans', 'HeLa Cells', 'MCF-7 Cells', 'A549 Cells', 'Reference Values', 'Genes, Essential', 'Real-Time Polymerase Chain Reaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05861557647585869]
+Labels: ['Diabetes']
+Scores: [0.0012629474513232708]
+Labels: ['Cancer']
+Scores: [0.8859184980392456]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0024214694276452065]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008273295825347304]
+Labels: ['Mental Health']
+Scores: [0.0010170566383749247]
+Labels: ['Diabetes type 1']
+Scores: [0.0009750540484674275]
+Labels: ['Diabetes type 2']
+Scores: [0.0009941625175997615]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735992
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cell Line, Tumor', 'Transcriptome', 'Neoplasms', 'Gene Fusion', 'Sequence Analysis, RNA', 'Gene Expression Profiling', 'Oncogene Proteins, Fusion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03570862486958504]
+Labels: ['Diabetes']
+Scores: [0.0013277914840728045]
+Labels: ['Cancer']
+Scores: [0.8863590359687805]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0038829108234494925]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001999744214117527]
+Labels: ['Mental Health']
+Scores: [0.0004395063442643732]
+Labels: ['Diabetes type 1']
+Scores: [0.0009947330690920353]
+Labels: ['Diabetes type 2']
+Scores: [0.0013257546816021204]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735988
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Warburg Effect, Oncologic', 'Neoplasms', 'Glycolysis', 'Animals', 'Oxidative Phosphorylation', 'Energy Metabolism', 'Mitochondria', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018864789977669716]
+Labels: ['Diabetes']
+Scores: [0.003620826406404376]
+Labels: ['Cancer']
+Scores: [0.40254124999046326]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002485579578205943]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00362068391405046]
+Labels: ['Mental Health']
+Scores: [0.0017122473800554872]
+Labels: ['Diabetes type 1']
+Scores: [0.0025715187657624483]
+Labels: ['Diabetes type 2']
+Scores: [0.0026466543786227703]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735979
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aneuploidy', 'Machine Learning', 'Neoplasms', 'Myristoylated Alanine-Rich C Kinase Substrate', 'Membrane Proteins', 'Gene Expression Regulation, Neoplastic', 'Cell Proliferation', 'Cytoskeletal Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04802214726805687]
+Labels: ['Diabetes']
+Scores: [0.00046032742829993367]
+Labels: ['Cancer']
+Scores: [0.36123281717300415]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015978271840140224]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0031948494724929333]
+Labels: ['Mental Health']
+Scores: [0.0003662722010631114]
+Labels: ['Diabetes type 1']
+Scores: [0.0006142432685010135]
+Labels: ['Diabetes type 2']
+Scores: [0.0007563657709397376]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735978
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunity, Innate', 'Tumor-Associated Macrophages', 'Neoplasms', 'Tumor Microenvironment', 'Phenotype', 'Animals', 'Epigenesis, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028211669996380806]
+Labels: ['Diabetes']
+Scores: [0.001396851264871657]
+Labels: ['Cancer']
+Scores: [0.8463590741157532]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0036315929610282183]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002639986574649811]
+Labels: ['Mental Health']
+Scores: [0.0011178936110809445]
+Labels: ['Diabetes type 1']
+Scores: [0.0028039906173944473]
+Labels: ['Diabetes type 2']
+Scores: [0.002638837555423379]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Disease Progression', 'Heterogeneous-Nuclear Ribonucleoprotein Group C', 'Neoplasms', 'Tumor Microenvironment', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Liver Neoplasms', 'Cell Line, Tumor', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03920649364590645]
+Labels: ['Diabetes']
+Scores: [0.00038870281423442066]
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+Scores: [0.9969735741615295]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001095962361432612]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0020250428933650255]
+Labels: ['Mental Health']
+Scores: [0.0004202461277600378]
+Labels: ['Diabetes type 1']
+Scores: [0.0006065948400646448]
+Labels: ['Diabetes type 2']
+Scores: [0.0005669451202265918]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735681
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Nanoparticles', 'Drug Delivery Systems', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031114371493458748]
+Labels: ['Diabetes']
+Scores: [0.001148241339251399]
+Labels: ['Cancer']
+Scores: [0.9947953820228577]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021297854837030172]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001091061276383698]
+Labels: ['Mental Health']
+Scores: [0.000864578178152442]
+Labels: ['Diabetes type 1']
+Scores: [0.0026480918750166893]
+Labels: ['Diabetes type 2']
+Scores: [0.002237690147012472]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735536
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'CD28 Antigens', 'Mice', 'Cell Adhesion Molecules', 'Neoplasms', 'Lymphocyte Activation', 'Cell Line, Tumor', 'Immunotherapy, Adoptive', 'T-Lymphocytes', 'Receptors, Antigen, T-Cell', 'Xenograft Model Antitumor Assays', 'Female', 'Nectins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025817682966589928]
+Labels: ['Diabetes']
+Scores: [0.0015257290797308087]
+Labels: ['Cancer']
+Scores: [0.25345170497894287]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002784768585115671]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004037537612020969]
+Labels: ['Mental Health']
+Scores: [0.0007444995571859181]
+Labels: ['Diabetes type 1']
+Scores: [0.0015696086920797825]
+Labels: ['Diabetes type 2']
+Scores: [0.002623391803354025]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735534
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Immunotherapy', 'Neoplasms', 'Combined Modality Therapy', 'Humans', 'Ultrasonic Therapy', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04393763467669487]
+Labels: ['Diabetes']
+Scores: [0.0006330414325930178]
+Labels: ['Cancer']
+Scores: [0.07118423283100128]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026099395472556353]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0021073350217193365]
+Labels: ['Mental Health']
+Scores: [0.00032554887002334]
+Labels: ['Diabetes type 1']
+Scores: [0.00047834942233748734]
+Labels: ['Diabetes type 2']
+Scores: [0.0005708827520720661]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024110861122608185]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.9554898738861084]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014504730934277177]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002202240051701665]
+Labels: ['Mental Health']
+Scores: [0.00033126011840067804]
+Labels: ['Diabetes type 1']
+Scores: [0.0004999295342713594]
+Labels: ['Diabetes type 2']
+Scores: [0.0004943479434587061]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734197
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', '5-Methylcytosine', 'DNA Methylation', 'DNA Transposable Elements', 'Epigenesis, Genetic', 'Nanopore Sequencing', 'Nanopores', 'Neoplasms', 'Sequence Analysis, DNA']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015649816021323204]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0019418682204559445]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008637646096758544]
+Labels: ['Mental Health']
+Scores: [0.0016882028430700302]
+Labels: ['Diabetes type 1']
+Scores: [0.001633894513361156]
+Labels: ['Diabetes type 2']
+Scores: [0.001791555667296052]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733511
+Predictions: ['Cancer']
+MeshTerm: ['Protein-Arginine N-Methyltransferases', 'Humans', 'Enzyme Inhibitors', 'Neoplasms', 'Antineoplastic Agents', 'Molecular Structure', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030498003587126732]
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+Scores: [0.0017065866850316525]
+Labels: ['Cancer']
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+Scores: [0.007420633919537067]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003497300436720252]
+Labels: ['Mental Health']
+Scores: [0.0007381530595012009]
+Labels: ['Diabetes type 1']
+Scores: [0.0020041989628225565]
+Labels: ['Diabetes type 2']
+Scores: [0.0022829968947917223]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733440
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Occupational Exposure', 'Occupational Diseases', 'Carcinogens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008711687289178371]
+Labels: ['Diabetes']
+Scores: [0.000550001859664917]
+Labels: ['Cancer']
+Scores: [0.9332788586616516]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00232305028475821]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004852925427258015]
+Labels: ['Mental Health']
+Scores: [0.000413675355957821]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0011885204585269094]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733439
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Antigen Presentation', 'Immunotherapy', 'Neoplasms', 'Antigens, Neoplasm', 'Immune Checkpoint Inhibitors', 'HLA Antigens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027680961415171623]
+Labels: ['Diabetes']
+Scores: [0.0009889608481898904]
+Labels: ['Cancer']
+Scores: [0.5900986194610596]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001905652112327516]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010508097475394607]
+Labels: ['Mental Health']
+Scores: [0.0006124944193288684]
+Labels: ['Diabetes type 1']
+Scores: [0.001222724444232881]
+Labels: ['Diabetes type 2']
+Scores: [0.0016212764894589782]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733429
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Registries', 'Female', 'Male', 'Tunisia', 'Neoplasms', 'Incidence', 'Middle Aged', 'Adult', 'Aged', 'Adolescent', 'Young Adult', 'Infant, Newborn', 'Infant', 'Child', 'Child, Preschool', 'Follow-Up Studies', 'Prognosis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029903827235102654]
+Labels: ['Diabetes']
+Scores: [0.0003714932536240667]
+Labels: ['Cancer']
+Scores: [0.9764485955238342]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0013787440257146955]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005570907145738602]
+Labels: ['Mental Health']
+Scores: [0.0004444241931196302]
+Labels: ['Diabetes type 1']
+Scores: [0.000563693349249661]
+Labels: ['Diabetes type 2']
+Scores: [0.0005897305090911686]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733076
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Mitochondria', 'Gene Expression Regulation, Neoplastic', 'Biomarkers, Tumor', 'Prognosis', 'Genomics', 'Cell Proliferation', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025020940229296684]
+Labels: ['Diabetes']
+Scores: [0.004022358451038599]
+Labels: ['Cancer']
+Scores: [0.9810004830360413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006410402711480856]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0162400770932436]
+Labels: ['Mental Health']
+Scores: [0.003243029583245516]
+Labels: ['Diabetes type 1']
+Scores: [0.003832284826785326]
+Labels: ['Diabetes type 2']
+Scores: [0.0036401120014488697]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732961
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Transcription Factors', 'Proto-Oncogene Proteins c-ets', 'Prognosis', 'Neoplasms', 'Gene Expression Regulation, Neoplastic', 'Tumor Microenvironment', 'Adenovirus E1A Proteins', 'DNA-Binding Proteins', 'Kaplan-Meier Estimate', 'Gene Expression Profiling']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014047310687601566]
+Labels: ['Diabetes']
+Scores: [0.0008888773154467344]
+Labels: ['Cancer']
+Scores: [0.9903074502944946]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018616337329149246]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003811805509030819]
+Labels: ['Mental Health']
+Scores: [0.000610159826464951]
+Labels: ['Diabetes type 1']
+Scores: [0.0012497907737269998]
+Labels: ['Diabetes type 2']
+Scores: [0.0012043314054608345]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732661
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Fever of Unknown Origin', 'Prospective Studies', 'Female', 'Male', 'China', 'Middle Aged', 'Adult', 'Aged', 'Neoplasms', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0011993341613560915]
+Labels: ['Diabetes']
+Scores: [0.0014190523652359843]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.014067444950342178]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003907890524715185]
+Labels: ['Mental Health']
+Scores: [0.0017562449211254716]
+Labels: ['Diabetes type 1']
+Scores: [0.0032631501089781523]
+Labels: ['Diabetes type 2']
+Scores: [0.004027949180454016]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732529
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Animals', 'Signal Transduction', 'Cytokines', 'Immunotherapy', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019218116998672485]
+Labels: ['Diabetes']
+Scores: [0.0007145281997509301]
+Labels: ['Cancer']
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+Scores: [0.00176132726483047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001353826723061502]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0008218465372920036]
+Labels: ['Diabetes type 2']
+Scores: [0.0009610846755094826]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732497
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Fear', 'Schizophrenia', 'Psychotic Disorders', 'Neoplasms', 'Psychosocial Intervention', 'Neoplasm Recurrence, Local', 'Research Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02423802949488163]
+Labels: ['Diabetes']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9421842098236084]
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+Labels: ['Diabetes type 2']
+Scores: [0.0005912510096095502]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732363
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'T-Lymphocytes', 'Cell Movement', 'Immunotherapy, Adoptive', 'Tumor Microenvironment', 'Receptors, Chimeric Antigen', 'Neoplasms', 'Microfluidics', 'Lab-On-A-Chip Devices', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.010404250584542751]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014066661708056927]
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+Labels: ['Cardiovascular diseases']
+Scores: [0.008699150756001472]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.003479063743725419]
+Labels: ['Diabetes type 2']
+Scores: [0.004264558665454388]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mitochondria', 'Neoplasms', 'Cytoskeleton', 'Animals', 'Autophagy', 'Apoptosis', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015196043066680431]
+Labels: ['Diabetes']
+Scores: [0.000520565896295011]
+Labels: ['Cancer']
+Scores: [0.9786412715911865]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0006680399528704584]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0008918578387238085]
+Labels: ['Diabetes type 2']
+Scores: [0.0009821489220485091]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732132
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Animals', 'Complement Activation', 'Tumor Microenvironment', 'Complement C4', 'Biomarkers, Tumor', 'Immunotherapy', 'Complement C4b', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.034056954085826874]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.002457337686792016]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015684794634580612]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0021896332036703825]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731918
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Immunotherapy', 'Tumor Microenvironment', 'CD8-Positive T-Lymphocytes', 'Leukocytes, Mononuclear', 'Male', 'Female', 'Receptors, Antigen, T-Cell', 'Neoplasms', 'Middle Aged', 'Transcriptome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03786710649728775]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0008019031374715269]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0040780240669846535]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0038464905228465796]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731836
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'MicroRNAs', 'Hydrogels', 'HeLa Cells', 'DNA', 'Doxorubicin', 'PTEN Phosphohydrolase', 'Cell Survival', 'Neoplasms', 'Apoptosis Regulatory Proteins', 'RNA-Binding Proteins', 'Antineoplastic Agents', 'Gene Expression Regulation, Neoplastic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019800949841737747]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0011261863401159644]
+Labels: ['Mental Health']
+Scores: [0.0015504288021475077]
+Labels: ['Diabetes type 1']
+Scores: [0.0020008503925055265]
+Labels: ['Diabetes type 2']
+Scores: [0.002187322359532118]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731788
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Antineoplastic Agents', 'Peptides', 'Animals', 'Drug Development', 'Molecular Structure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05195122957229614]
+Labels: ['Diabetes']
+Scores: [0.0017643396276980639]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Scores: [0.001448886701837182]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.00429060123860836]
+Labels: ['Diabetes type 2']
+Scores: [0.0043875533156096935]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731736
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Neoplasms', 'Genomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02840498462319374]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.006521193776279688]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0022296146489679813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731651
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Quality of Life', 'Female', 'Male', 'Hydrocortisone', 'Qigong', 'Middle Aged', 'Neoplasms', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04071813076734543]
+Labels: ['Diabetes']
+Scores: [0.0004069711430929601]
+Labels: ['Cancer']
+Scores: [0.9414186477661133]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001837684540078044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0037027932703495026]
+Labels: ['Mental Health']
+Scores: [0.0007787746144458652]
+Labels: ['Diabetes type 1']
+Scores: [0.00047625036677345634]
+Labels: ['Diabetes type 2']
+Scores: [0.00046708222362212837]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731471
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Endoplasmic Reticulum Chaperone BiP', 'Single-Domain Antibodies', 'Recombinant Fusion Proteins', 'Immunotoxins', 'Apoptosis', 'Exotoxins', 'Animals', 'Heat-Shock Proteins', 'Cell Line, Tumor', 'Camelus', 'Breast Neoplasms', 'Female', 'ADP Ribose Transferases', 'Bacterial Toxins', 'HEK293 Cells', 'Pseudomonas aeruginosa Exotoxin A', 'Neoplasms', 'MCF-7 Cells', 'Virulence Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.041409384459257126]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0005021854303777218]
+Labels: ['Mental Health']
+Scores: [0.00035984645364806056]
+Labels: ['Diabetes type 1']
+Scores: [0.0003889520012307912]
+Labels: ['Diabetes type 2']
+Scores: [0.00039287147228606045]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Organoids', 'Neoplasms', 'Tumor Microenvironment', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020946932956576347]
+Labels: ['Diabetes']
+Scores: [0.0010010604746639729]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0016138284699991345]
+Labels: ['Mental Health']
+Scores: [0.0007562984246760607]
+Labels: ['Diabetes type 1']
+Scores: [0.0014876658096909523]
+Labels: ['Diabetes type 2']
+Scores: [0.0014856605557724833]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731135
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Mutation', 'Tumor Microenvironment', 'Histone Demethylases', 'Biomarkers, Tumor', 'Prognosis', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023288840427994728]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.9961372017860413]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0019196540815755725]
+Labels: ['Mental Health']
+Scores: [0.0005383802927099168]
+Labels: ['Diabetes type 1']
+Scores: [0.000512561819050461]
+Labels: ['Diabetes type 2']
+Scores: [0.0005557021941058338]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731127
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'RNA Editing', 'Neoplasms', 'Inosine', 'Adenosine', 'Animals', 'Gene Expression Regulation, Neoplastic', 'Adenosine Deaminase', 'Biomarkers, Tumor', 'MicroRNAs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014696996659040451]
+Labels: ['Diabetes']
+Scores: [0.0014846120029687881]
+Labels: ['Cancer']
+Scores: [0.9854989647865295]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019220267422497272]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017395159229636192]
+Labels: ['Mental Health']
+Scores: [0.0011815024772658944]
+Labels: ['Diabetes type 1']
+Scores: [0.0019124833634123206]
+Labels: ['Diabetes type 2']
+Scores: [0.001843006699346006]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731088
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Palliative Care', 'Aged', 'Middle Aged', 'Neoplasms', 'Terminal Care', 'Aged, 80 and over', 'Finland', 'Hospital Costs', 'Ambulatory Care Facilities', 'Registries', 'Adult', 'Ambulatory Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0382167287170887]
+Labels: ['Diabetes']
+Scores: [0.0003458375867921859]
+Labels: ['Cancer']
+Scores: [0.9803779721260071]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014709682436659932]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004892824683338404]
+Labels: ['Mental Health']
+Scores: [0.0015634373994544148]
+Labels: ['Diabetes type 1']
+Scores: [0.00037041553878225386]
+Labels: ['Diabetes type 2']
+Scores: [0.00036937984987162054]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016175244003534317]
+Labels: ['Diabetes']
+Scores: [0.08878304809331894]
+Labels: ['Cancer']
+Scores: [0.016374442726373672]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0361013188958168]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9325904250144958]
+Labels: ['Mental Health']
+Scores: [0.0022501572966575623]
+Labels: ['Diabetes type 1']
+Scores: [0.013615972362458706]
+Labels: ['Diabetes type 2']
+Scores: [0.015235125087201595]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731019
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Algorithms', 'Deep Learning', 'Gene Expression Profiling', 'Computational Biology', 'Databases, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010958623141050339]
+Labels: ['Diabetes']
+Scores: [0.00042459205724298954]
+Labels: ['Cancer']
+Scores: [0.9538220167160034]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004151075554545969]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00035426203976385295]
+Labels: ['Mental Health']
+Scores: [0.00031951203709468246]
+Labels: ['Diabetes type 1']
+Scores: [0.00033960436121560633]
+Labels: ['Diabetes type 2']
+Scores: [0.00034771388163790107]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730977
+Predictions: ['Cancer']
+MeshTerm: ['Copper', 'Humans', 'Metal Nanoparticles', 'Green Chemistry Technology', 'Neoplasms', 'Antineoplastic Agents', 'Drug Resistance, Neoplasm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04379824548959732]
+Labels: ['Diabetes']
+Scores: [0.0030294551979750395]
+Labels: ['Cancer']
+Scores: [0.16297240555286407]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0056649502366781235]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0037169207353144884]
+Labels: ['Mental Health']
+Scores: [0.0010274442611262202]
+Labels: ['Diabetes type 1']
+Scores: [0.004904584959149361]
+Labels: ['Diabetes type 2']
+Scores: [0.0077924360521137714]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730928
+Predictions: ['Cancer']
+MeshTerm: ['Doxorubicin', 'Animals', 'Mice', 'Humans', 'Cell Line, Tumor', 'Immunotherapy', 'Neoplasms', 'Drug Delivery Systems', 'Nanoparticles', 'Tumor Microenvironment', 'Biomimetics', 'Imiquimod', 'Serotonin', 'Antineoplastic Agents', 'Combined Modality Therapy', 'Mice, Inbred BALB C']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021649489179253578]
+Labels: ['Diabetes']
+Scores: [0.0012554045533761382]
+Labels: ['Cancer']
+Scores: [0.16147401928901672]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003326775273308158]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005248345900326967]
+Labels: ['Mental Health']
+Scores: [0.0008356804610230029]
+Labels: ['Diabetes type 1']
+Scores: [0.0009763811249285936]
+Labels: ['Diabetes type 2']
+Scores: [0.0010288936318829656]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730772
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Female', 'Male', 'Adult', 'Middle Aged', 'Return to Work', 'Social Stigma', 'Social Support', 'Adolescent', 'Young Adult', 'Adaptation, Psychological', 'Health Literacy', 'Neoplasms', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04612524434924126]
+Labels: ['Diabetes']
+Scores: [0.0005324903759174049]
+Labels: ['Cancer']
+Scores: [0.5198006629943848]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005872588139027357]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01583072356879711]
+Labels: ['Mental Health']
+Scores: [0.0058301230892539024]
+Labels: ['Diabetes type 1']
+Scores: [0.0010127380955964327]
+Labels: ['Diabetes type 2']
+Scores: [0.0009986382210627198]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730706
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Denmark', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Cohort Studies', 'Environmental Pollution', 'Young Adult', 'Child, Preschool', 'Infant, Newborn', 'Environmental Exposure', 'Adolescent', 'Child', 'Infant', 'Aged, 80 and over', 'Neoplasms', 'Cause of Death']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010159196332097054]
+Labels: ['Diabetes']
+Scores: [0.0006800623959861696]
+Labels: ['Cancer']
+Scores: [0.06952065974473953]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003141444642096758]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023263046517968178]
+Labels: ['Mental Health']
+Scores: [0.008577452972531319]
+Labels: ['Diabetes type 1']
+Scores: [0.0005961526767350733]
+Labels: ['Diabetes type 2']
+Scores: [0.0007052278378978372]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730699
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Machine Learning', 'Antineoplastic Agents', 'Precision Medicine', 'Neoplasms', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04672534018754959]
+Labels: ['Diabetes']
+Scores: [0.07098285108804703]
+Labels: ['Cancer']
+Scores: [0.07296102494001389]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029667971655726433]
+Labels: ['Cardiovascular diseases']
+Scores: [0.041519246995449066]
+Labels: ['Mental Health']
+Scores: [0.000914389849640429]
+Labels: ['Diabetes type 1']
+Scores: [0.01912761479616165]
+Labels: ['Diabetes type 2']
+Scores: [0.03430342301726341]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730637
+Predictions: ['Cancer']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'China', 'Drug-Related Side Effects and Adverse Reactions', 'East Asian People', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02748876065015793]
+Labels: ['Diabetes']
+Scores: [0.006644284352660179]
+Labels: ['Cancer']
+Scores: [0.9380165934562683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008587129414081573]
+Labels: ['Cardiovascular diseases']
+Scores: [0.017946023494005203]
+Labels: ['Mental Health']
+Scores: [0.015710672363638878]
+Labels: ['Diabetes type 1']
+Scores: [0.012420649640262127]
+Labels: ['Diabetes type 2']
+Scores: [0.015171132050454617]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730328
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Mice', 'Immunotherapy', 'Humans', 'Immune Checkpoint Inhibitors', 'Female', 'Fimbriae Proteins', 'Programmed Cell Death 1 Receptor', 'Neoplasms', 'Mice, Inbred C57BL', 'Bacteria', 'Cell Line, Tumor', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015941694378852844]
+Labels: ['Diabetes']
+Scores: [0.0005230756942182779]
+Labels: ['Cancer']
+Scores: [0.9430833458900452]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006871375371702015]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006680199294351041]
+Labels: ['Mental Health']
+Scores: [0.00047896281466819346]
+Labels: ['Diabetes type 1']
+Scores: [0.0008972014766186476]
+Labels: ['Diabetes type 2']
+Scores: [0.0007696046377532184]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730320
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Social Support', 'Neoplasms', 'Qualitative Research', 'Social Adjustment', 'Social Interaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06931512802839279]
+Labels: ['Diabetes']
+Scores: [0.0004327570495661348]
+Labels: ['Cancer']
+Scores: [0.8842130899429321]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004325491841882467]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013883388601243496]
+Labels: ['Mental Health']
+Scores: [0.007933014072477818]
+Labels: ['Diabetes type 1']
+Scores: [0.0006727579166181386]
+Labels: ['Diabetes type 2']
+Scores: [0.0006541219190694392]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018294626846909523]
+Labels: ['Diabetes']
+Scores: [0.00030677038012072444]
+Labels: ['Cancer']
+Scores: [0.07483143359422684]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004199775867164135]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006863274611532688]
+Labels: ['Mental Health']
+Scores: [0.003647930221632123]
+Labels: ['Diabetes type 1']
+Scores: [0.00029413014999590814]
+Labels: ['Diabetes type 2']
+Scores: [0.0002944536681752652]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02509826421737671]
+Labels: ['Diabetes']
+Scores: [0.0003162850916851312]
+Labels: ['Cancer']
+Scores: [0.7952953577041626]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009709171950817108]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000479782436741516]
+Labels: ['Mental Health']
+Scores: [0.00028946204110980034]
+Labels: ['Diabetes type 1']
+Scores: [0.0003210802678950131]
+Labels: ['Diabetes type 2']
+Scores: [0.00033260532654821873]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729909
+Predictions: ['Cancer']
+MeshTerm: ['Reactive Oxygen Species', 'Humans', 'Neoplasms', 'Magnetic Fields', 'Animals', 'Mitochondria', 'Electromagnetic Fields']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03346279263496399]
+Labels: ['Diabetes']
+Scores: [0.0037752531934529543]
+Labels: ['Cancer']
+Scores: [0.9350607395172119]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001733065815642476]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0034646729473024607]
+Labels: ['Mental Health']
+Scores: [0.0006393521325662732]
+Labels: ['Diabetes type 1']
+Scores: [0.0022277638781815767]
+Labels: ['Diabetes type 2']
+Scores: [0.002532915910705924]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729775
+Predictions: ['Cancer']
+MeshTerm: ['Granulocyte-Macrophage Colony-Stimulating Factor', 'Animals', 'RNA, Small Interfering', 'Immunotherapy', 'Mice', 'Macrophages', 'Cellular Reprogramming', 'Mice, Inbred C57BL', 'Neoplasms', 'Tumor Microenvironment', 'Cell Line, Tumor', 'Humans', 'Tumor-Associated Macrophages', 'Female', 'RAW 264.7 Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01058381237089634]
+Labels: ['Diabetes']
+Scores: [0.0009584288345649838]
+Labels: ['Cancer']
+Scores: [0.9628583192825317]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009115616558119655]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005181970773264766]
+Labels: ['Mental Health']
+Scores: [0.0008137034601531923]
+Labels: ['Diabetes type 1']
+Scores: [0.001425851252861321]
+Labels: ['Diabetes type 2']
+Scores: [0.0013109687715768814]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729479
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Single-Cell Analysis', 'Lymphocytes, Tumor-Infiltrating', 'Neoplasms', 'RNA-Seq', 'T-Lymphocytes, Regulatory', 'Transcriptome', 'Gene Expression Profiling', 'Protein Interaction Maps', 'Sequence Analysis, RNA', 'Gene Regulatory Networks', 'Gene Expression Regulation, Neoplastic', 'Single-Cell Gene Expression Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0209934301674366]
+Labels: ['Diabetes']
+Scores: [0.0030917227268218994]
+Labels: ['Cancer']
+Scores: [0.7036740779876709]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001974968472495675]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012896619737148285]
+Labels: ['Mental Health']
+Scores: [0.0010136155178770423]
+Labels: ['Diabetes type 1']
+Scores: [0.002477722242474556]
+Labels: ['Diabetes type 2']
+Scores: [0.0026280703023076057]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729462
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Maytansine', 'Immunoconjugates', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'Folate Receptor 1', 'Progression-Free Survival']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.044141389429569244]
+Labels: ['Diabetes']
+Scores: [0.0016194004565477371]
+Labels: ['Cancer']
+Scores: [0.12052280455827713]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008261025883257389]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0687209740281105]
+Labels: ['Mental Health']
+Scores: [0.005161138251423836]
+Labels: ['Diabetes type 1']
+Scores: [0.0008668565424159169]
+Labels: ['Diabetes type 2']
+Scores: [0.0009552843985147774]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729341
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Animals', 'Mice', 'Neoplasms', 'Drug Carriers', 'Cell Line, Tumor', 'Macromolecular Substances', 'Protein Binding', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01732756197452545]
+Labels: ['Diabetes']
+Scores: [0.0016040331684052944]
+Labels: ['Cancer']
+Scores: [0.1987650990486145]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001424803864210844]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017765002558007836]
+Labels: ['Mental Health']
+Scores: [0.001233357354067266]
+Labels: ['Diabetes type 1']
+Scores: [0.001151188975200057]
+Labels: ['Diabetes type 2']
+Scores: [0.0014652051031589508]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729330
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Child', 'Neoplasms', 'Gait Disorders, Neurologic', 'Antineoplastic Agents', 'Gait', 'Range of Motion, Articular', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09040840715169907]
+Labels: ['Diabetes']
+Scores: [0.0004367147048469633]
+Labels: ['Cancer']
+Scores: [0.3326985239982605]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00569495651870966]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004629592876881361]
+Labels: ['Mental Health']
+Scores: [0.0005909226601943374]
+Labels: ['Diabetes type 1']
+Scores: [0.0006373833166435361]
+Labels: ['Diabetes type 2']
+Scores: [0.0007097817724570632]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729314
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Radiation Oncology', 'Radiologists', 'Peer Review', 'Peer Review, Health Care', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02284209430217743]
+Labels: ['Diabetes']
+Scores: [0.0011916040675714612]
+Labels: ['Cancer']
+Scores: [0.4124120771884918]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03135773167014122]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02023383416235447]
+Labels: ['Mental Health']
+Scores: [0.0011894135968759656]
+Labels: ['Diabetes type 1']
+Scores: [0.0013271132484078407]
+Labels: ['Diabetes type 2']
+Scores: [0.0014994192169979215]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727835
+Predictions: ['Cancer']
+MeshTerm: ['Biosensing Techniques', 'Humans', 'Drug Discovery', 'Neoplasms', 'Antineoplastic Agents', 'Fluorescence', 'Fluorescence Resonance Energy Transfer', 'Signal Transduction', 'Luminescent Measurements', 'Pentacyclic Triterpenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02783002331852913]
+Labels: ['Diabetes']
+Scores: [0.003188670612871647]
+Labels: ['Cancer']
+Scores: [0.990536093711853]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004823110066354275]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00189477507956326]
+Labels: ['Mental Health']
+Scores: [0.0026777430903166533]
+Labels: ['Diabetes type 1']
+Scores: [0.006872318685054779]
+Labels: ['Diabetes type 2']
+Scores: [0.006578629836440086]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727719
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neutropenia', 'Antineoplastic Agents', 'Anemia', 'Thrombocytopenia', 'Neoplasms', 'Intercellular Signaling Peptides and Proteins', 'Granulocyte Colony-Stimulating Factor', 'Receptors, Thrombopoietin', 'Cytopenia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03601468726992607]
+Labels: ['Diabetes']
+Scores: [0.0007254403899423778]
+Labels: ['Cancer']
+Scores: [0.9054422378540039]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019391500391066074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001835036207921803]
+Labels: ['Mental Health']
+Scores: [0.00039020285475999117]
+Labels: ['Diabetes type 1']
+Scores: [0.0009816419333219528]
+Labels: ['Diabetes type 2']
+Scores: [0.001189575414173305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727703
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Early Detection of Cancer', 'Female', 'Male', 'Aged', 'Middle Aged', 'Neoplasms', 'Oncology Nursing', 'Health Services Accessibility', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08395504206418991]
+Labels: ['Diabetes']
+Scores: [0.0005485740257427096]
+Labels: ['Cancer']
+Scores: [0.8159995079040527]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0035176165401935577]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010760853067040443]
+Labels: ['Mental Health']
+Scores: [0.00038137499359436333]
+Labels: ['Diabetes type 1']
+Scores: [0.0011770311975851655]
+Labels: ['Diabetes type 2']
+Scores: [0.0013572011375799775]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727701
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Frailty', 'Neoplasms', 'Retrospective Studies', 'Aged, 80 and over', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025225887075066566]
+Labels: ['Diabetes']
+Scores: [0.00042321591172367334]
+Labels: ['Cancer']
+Scores: [0.2581416070461273]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000838270818348974]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00855967029929161]
+Labels: ['Mental Health']
+Scores: [0.0003940009337384254]
+Labels: ['Diabetes type 1']
+Scores: [0.00046323437709361315]
+Labels: ['Diabetes type 2']
+Scores: [0.0005217331345193088]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727700
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Neoplasms', 'Patient Reported Outcome Measures', 'Psychometrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0353732593357563]
+Labels: ['Diabetes']
+Scores: [0.0005321898497641087]
+Labels: ['Cancer']
+Scores: [0.6996410489082336]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02139180898666382]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0022210925817489624]
+Labels: ['Mental Health']
+Scores: [0.0004889553529210389]
+Labels: ['Diabetes type 1']
+Scores: [0.0009298730292357504]
+Labels: ['Diabetes type 2']
+Scores: [0.000982880825176835]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727690
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Empathy', 'Neoplasms', 'Nurse-Patient Relations', 'Oncology Nursing', 'Qualitative Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0449284166097641]
+Labels: ['Diabetes']
+Scores: [0.0005514243384823203]
+Labels: ['Cancer']
+Scores: [0.10648849606513977]
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+Scores: [0.008906071074306965]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008962980471551418]
+Labels: ['Mental Health']
+Scores: [0.0005253348499536514]
+Labels: ['Diabetes type 1']
+Scores: [0.0013405309291556478]
+Labels: ['Diabetes type 2']
+Scores: [0.0023148213513195515]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727688
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Neoplasms', 'Cross-Sectional Studies', 'Male', 'Female', 'Malnutrition', 'Aged, 80 and over', 'Nutritional Status', 'Surveys and Questionnaires', 'Nutrition Assessment', 'Diet', 'Symptom Burden']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03313540294766426]
+Labels: ['Diabetes']
+Scores: [0.00034005040652118623]
+Labels: ['Cancer']
+Scores: [0.9446200728416443]
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+Scores: [0.0019051401177421212]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010557848960161209]
+Labels: ['Mental Health']
+Scores: [0.0003685618576128036]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0003476720303297043]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727686
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Exercise', 'Exercise Therapy', 'Neoplasms', 'Quality of Life', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03549450635910034]
+Labels: ['Diabetes']
+Scores: [0.00033834498026408255]
+Labels: ['Cancer']
+Scores: [0.7799658179283142]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007845351938158274]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014167515328153968]
+Labels: ['Mental Health']
+Scores: [0.00031850297818891704]
+Labels: ['Diabetes type 1']
+Scores: [0.0004403595521580428]
+Labels: ['Diabetes type 2']
+Scores: [0.0004970613517798483]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727684
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Methadone', 'Neuralgia', 'Cancer Pain', 'Analgesics, Opioid', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0395539291203022]
+Labels: ['Diabetes']
+Scores: [0.00038446704274974763]
+Labels: ['Cancer']
+Scores: [0.23500895500183105]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005696258973330259]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007358295260928571]
+Labels: ['Mental Health']
+Scores: [0.011254459619522095]
+Labels: ['Diabetes type 1']
+Scores: [0.00036129317595623434]
+Labels: ['Diabetes type 2']
+Scores: [0.00038836197927594185]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727683
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Cancer Survivors', 'Male', 'Adult', 'Adolescent', 'Neoplasms', 'Young Adult', 'Fertility', 'Cohort Studies', 'Surveys and Questionnaires', 'Canada', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02714383974671364]
+Labels: ['Diabetes']
+Scores: [0.0010329593205824494]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0010833234991878271]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002283408772200346]
+Labels: ['Mental Health']
+Scores: [0.0004961790982633829]
+Labels: ['Diabetes type 1']
+Scores: [0.001011407352052629]
+Labels: ['Diabetes type 2']
+Scores: [0.0013291120994836092]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Health Literacy', 'Fear', 'Neoplasms', 'Neoplasm Recurrence, Local', 'Disease Progression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03769060596823692]
+Labels: ['Diabetes']
+Scores: [0.0012826896272599697]
+Labels: ['Cancer']
+Scores: [0.7423432469367981]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004356300458312035]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016643386334180832]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0013692592037841678]
+Labels: ['Diabetes type 2']
+Scores: [0.0014997745165601373]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727182
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patents as Topic', 'Ataxia Telangiectasia Mutated Proteins', 'Neoplasms', 'Antineoplastic Agents', 'Animals', 'Protein Kinase Inhibitors', 'Drug Development', 'Molecular Targeted Therapy', 'DNA Breaks, Double-Stranded']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02259102463722229]
+Labels: ['Diabetes']
+Scores: [0.0009215541067533195]
+Labels: ['Cancer']
+Scores: [0.8294253945350647]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.002742094686254859]
+Labels: ['Mental Health']
+Scores: [0.00044428929686546326]
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+Scores: [0.0019130108412355185]
+Labels: ['Diabetes type 2']
+Scores: [0.002226053038612008]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726750
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cerebral Hemorrhage', 'Retrospective Studies', 'Middle Aged', 'Propensity Score', 'Risk Factors', 'Neoplasms', 'Aged', 'Prognosis', 'Neutrophils', 'Hemoglobins', 'China', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03912188857793808]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.15137989819049835]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08983860909938812]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9461089372634888]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0006662463420070708]
+Labels: ['Diabetes type 2']
+Scores: [0.0007220380939543247]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726590
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Cell Movement', 'Immunotherapy', 'Mesenchymal Stem Cell Transplantation', 'Mesenchymal Stem Cells', 'Neoplasms', 'Tumor Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03294416889548302]
+Labels: ['Diabetes']
+Scores: [0.0015218481421470642]
+Labels: ['Cancer']
+Scores: [0.9388086795806885]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017765783704817295]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012902237940579653]
+Labels: ['Mental Health']
+Scores: [0.000519357796292752]
+Labels: ['Diabetes type 1']
+Scores: [0.0020214368123561144]
+Labels: ['Diabetes type 2']
+Scores: [0.0024698611814528704]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726589
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Bibliometrics', 'Methylation', 'Tumor Microenvironment', 'RNA', 'Lymphocytes, Tumor-Infiltrating', 'Animals', 'RNA Methylation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05610264092683792]
+Labels: ['Diabetes']
+Scores: [0.0011259043822064996]
+Labels: ['Cancer']
+Scores: [0.3157119154930115]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009058857336640358]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003983084578067064]
+Labels: ['Mental Health']
+Scores: [0.00041243090527132154]
+Labels: ['Diabetes type 1']
+Scores: [0.0010644210269674659]
+Labels: ['Diabetes type 2']
+Scores: [0.0013351970119401813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726379
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Lipid Metabolism', 'Neoplasms', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05078485608100891]
+Labels: ['Diabetes']
+Scores: [0.013884619809687138]
+Labels: ['Cancer']
+Scores: [0.14715467393398285]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002039100741967559]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005308825056999922]
+Labels: ['Mental Health']
+Scores: [0.00045940137351863086]
+Labels: ['Diabetes type 1']
+Scores: [0.01628103107213974]
+Labels: ['Diabetes type 2']
+Scores: [0.02022760547697544]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726369
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Reactive Oxygen Species', 'Glutathione', 'Photochemotherapy', 'Animals', 'Tumor Microenvironment', 'Nanostructures', 'Antineoplastic Agents', 'Photosensitizing Agents', 'Antioxidants', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03450607880949974]
+Labels: ['Diabetes']
+Scores: [0.0005242639454081655]
+Labels: ['Cancer']
+Scores: [0.944553554058075]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001137814950197935]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008014501654542983]
+Labels: ['Mental Health']
+Scores: [0.00035722798202186823]
+Labels: ['Diabetes type 1']
+Scores: [0.0009509951341897249]
+Labels: ['Diabetes type 2']
+Scores: [0.001129239914007485]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726308
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Connective Tissue Diseases', 'Vasculitis', 'Immunologic Factors', 'Immunomodulating Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01530514657497406]
+Labels: ['Diabetes']
+Scores: [0.0007175547652877867]
+Labels: ['Cancer']
+Scores: [0.9751490950584412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0047967443242669106]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0208369679749012]
+Labels: ['Mental Health']
+Scores: [0.0005396934575401247]
+Labels: ['Diabetes type 1']
+Scores: [0.0011400862131267786]
+Labels: ['Diabetes type 2']
+Scores: [0.0012860866263508797]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726258
+Predictions: ['Cancer']
+MeshTerm: ['Vaccinia virus', 'Humans', 'Animals', 'Cell Line, Tumor', 'Mice', 'Mice, Nude', 'Virus Replication', 'Oncolytic Viruses', 'Oncolytic Virotherapy', 'RNA-Binding Proteins', 'Neoplasms', 'Xenograft Model Antitumor Assays', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011223701760172844]
+Labels: ['Diabetes']
+Scores: [0.0007115943008102477]
+Labels: ['Cancer']
+Scores: [0.9311939477920532]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001667315256781876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009913693647831678]
+Labels: ['Mental Health']
+Scores: [0.0005423317779786885]
+Labels: ['Diabetes type 1']
+Scores: [0.0010373443365097046]
+Labels: ['Diabetes type 2']
+Scores: [0.0011173742823302746]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016760388389229774]
+Labels: ['Diabetes']
+Scores: [0.0018009583000093699]
+Labels: ['Cancer']
+Scores: [0.027175970375537872]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027738844975829124]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003992426209151745]
+Labels: ['Mental Health']
+Scores: [0.00047118368092924356]
+Labels: ['Diabetes type 1']
+Scores: [0.0011947073508054018]
+Labels: ['Diabetes type 2']
+Scores: [0.0014789712149649858]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726139
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Retrospective Studies', 'Female', 'Male', 'Japan', 'Middle Aged', 'Exercise', 'Smartphone', 'Databases, Factual', 'Aged', 'Adult', 'Cohort Studies', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.037325337529182434]
+Labels: ['Diabetes']
+Scores: [0.0003836085379589349]
+Labels: ['Cancer']
+Scores: [0.9955494999885559]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01927252858877182]
+Labels: ['Cardiovascular diseases']
+Scores: [0.036729391664266586]
+Labels: ['Mental Health']
+Scores: [0.0017360919155180454]
+Labels: ['Diabetes type 1']
+Scores: [0.0004681959981098771]
+Labels: ['Diabetes type 2']
+Scores: [0.0004765971389133483]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726004
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Taiwan', 'Qualitative Research', 'Guideline Adherence', 'Practice Guidelines as Topic', 'Neoplasms', 'Quality of Health Care', 'Case Managers', 'Medical Oncology', 'Interviews as Topic', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0161344725638628]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.005470047239214182]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017627507913857698]
+Labels: ['Mental Health']
+Scores: [0.00036117222043685615]
+Labels: ['Diabetes type 1']
+Scores: [0.0007042385404929519]
+Labels: ['Diabetes type 2']
+Scores: [0.0007922471850179136]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025438234210014343]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.00987476110458374]
+Labels: ['Mental Health']
+Scores: [0.000765262171626091]
+Labels: ['Diabetes type 1']
+Scores: [0.0005058613023720682]
+Labels: ['Diabetes type 2']
+Scores: [0.0006544029456563294]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02509826421737671]
+Labels: ['Diabetes']
+Scores: [0.0003162850916851312]
+Labels: ['Cancer']
+Scores: [0.7952953577041626]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009709171950817108]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000479782436741516]
+Labels: ['Mental Health']
+Scores: [0.00028946204110980034]
+Labels: ['Diabetes type 1']
+Scores: [0.0003210802678950131]
+Labels: ['Diabetes type 2']
+Scores: [0.00033260532654821873]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007405976764857769]
+Labels: ['Diabetes']
+Scores: [0.0008554994710721076]
+Labels: ['Cancer']
+Scores: [0.0007065619574859738]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4458150267601013]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0028531381394714117]
+Labels: ['Mental Health']
+Scores: [0.0006197530310600996]
+Labels: ['Diabetes type 1']
+Scores: [0.0017774781445041299]
+Labels: ['Diabetes type 2']
+Scores: [0.0017551338532939553]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03974303603172302]
+Labels: ['Diabetes']
+Scores: [0.00041833511204458773]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0027285886462777853]
+Labels: ['Mental Health']
+Scores: [0.00043371954234316945]
+Labels: ['Diabetes type 1']
+Scores: [0.00039434307836927474]
+Labels: ['Diabetes type 2']
+Scores: [0.00043867569183930755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710468
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Allergens', 'Adult', 'Adolescent', 'Child', 'China', 'Middle Aged', 'Child, Preschool', 'Cross-Sectional Studies', 'Young Adult', 'Infant', 'Aged', 'Immunoglobulin E', 'Aged, 80 and over', 'Animals', 'Skin Diseases', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005058105569332838]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0008525617304258049]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.000529290409758687]
+Labels: ['Diabetes type 2']
+Scores: [0.0005611252854578197]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707265
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Quality of Life', 'China', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Incineration', 'Adult', 'Surveys and Questionnaires', 'Residence Characteristics', 'Aged', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020748788490891457]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.017047876492142677]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0024723163805902004]
+Labels: ['Mental Health']
+Scores: [0.0005377922207117081]
+Labels: ['Diabetes type 1']
+Scores: [0.0003955518768634647]
+Labels: ['Diabetes type 2']
+Scores: [0.00043628521962091327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nitrogen Dioxide', 'Republic of Korea', 'Cross-Over Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Air Pollutants', 'Young Adult', 'Adolescent', 'Child, Preschool', 'Child', 'Air Pollution', 'Infant', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.06095593050122261]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027893809601664543]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0012221235083416104]
+Labels: ['Diabetes type 2']
+Scores: [0.001403970760293305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39694698
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Scotland', 'Male', 'Female', 'Air Pollution', 'Prospective Studies', 'Middle Aged', 'Particulate Matter', 'Hospitalization', 'Environmental Exposure', 'Adult', 'Nitrogen Dioxide', 'Aged', 'Air Pollutants', 'Sulfur Dioxide', 'Cardiovascular Diseases', 'Longitudinal Studies', 'Young Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022425048053264618]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.021068552508950233]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007282780017703772]
+Labels: ['Mental Health']
+Scores: [0.09773653745651245]
+Labels: ['Diabetes type 1']
+Scores: [0.0006919007864780724]
+Labels: ['Diabetes type 2']
+Scores: [0.0006896317354403436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39694558
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nebulizers and Vaporizers', 'Child', 'Administration, Inhalation', 'Respiratory Tract Diseases', 'Asthma', 'Home Care Services', 'Practice Guidelines as Topic', 'Respiratory Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01677936688065529]
+Labels: ['Diabetes']
+Scores: [0.0012249768478795886]
+Labels: ['Cancer']
+Scores: [0.006658055819571018]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05161697417497635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00039990252116695046]
+Labels: ['Mental Health']
+Scores: [0.0002991825749631971]
+Labels: ['Diabetes type 1']
+Scores: [0.0016368728829547763]
+Labels: ['Diabetes type 2']
+Scores: [0.001974041573703289]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684326
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'Mast Cells', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02137463539838791]
+Labels: ['Diabetes']
+Scores: [0.0008088797912932932]
+Labels: ['Cancer']
+Scores: [0.001265158411115408]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027572274208068848]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Scores: [0.0014096145750954747]
+Labels: ['Diabetes type 2']
+Scores: [0.0016724411398172379]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684250
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Endocrine Disruptors', 'Humans', 'Respiratory System', 'Animals', 'Oxidative Stress', 'Respiratory Tract Diseases', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01849105767905712]
+Labels: ['Diabetes']
+Scores: [0.0018273822497576475]
+Labels: ['Cancer']
+Scores: [0.009468737058341503]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03121928684413433]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0007435776060447097]
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+Labels: ['Diabetes type 2']
+Scores: [0.003073750762268901]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661886
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Child', 'Male', 'Homeostasis', 'Minerals', 'Vitamins', 'Ascorbic Acid', 'Respiratory Tract Diseases', 'Vitamin D', 'Recurrence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02151765674352646]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.0018005853053182364]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661885
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Male', 'Antioxidants', 'Female', 'Ascorbic Acid', 'Interleukin-6', 'Glutathione Peroxidase', 'Hydrocortisone', 'Ferritins', 'Tumor Necrosis Factor-alpha', 'Respiratory Tract Diseases', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39659714
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Workplace', 'Occupational Diseases', 'Respiratory Tract Diseases', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017341701313853264]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.0016827639192342758]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39643329
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Adult', 'Prospective Studies', 'Nitrogen Dioxide', 'China', 'Aged', 'Environmental Exposure', 'Incidence', 'Musculoskeletal Diseases', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Air Pollutants', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39642570
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mustard Gas', 'Male', 'Biomarkers', 'Cross-Sectional Studies', 'Adult', 'Chemical Warfare Agents', 'Veterans', 'Middle Aged', 'Respiratory Tract Diseases', 'Iran']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39640901
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Plants, Medicinal', 'Humans', 'Tanzania', 'Male', 'Female', 'Respiratory Tract Diseases', 'Adult', 'Middle Aged', 'Health Knowledge, Attitudes, Practice', 'Medicine, African Traditional', 'Aged', 'Phytotherapy']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633457
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Respiratory Tract Diseases', 'Nanoparticles', 'Microplastics', 'Inhalation Exposure', 'Air Pollutants', 'Animals', 'Respiratory System']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03751920163631439]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633418
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Hospitalization', 'Child', 'Male', 'Female', 'Air Pollutants', 'Cross-Over Studies', 'Child, Preschool', 'COVID-19', 'Respiratory Tract Diseases', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Infant', 'Sulfur Dioxide', 'SARS-CoV-2', 'Adolescent', 'Nitrogen Dioxide', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39632975
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Lung Neoplasms', 'Genome-Wide Association Study', 'Ketone Bodies', 'Polymorphism, Single Nucleotide', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012538228183984756]
+Labels: ['Diabetes']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39620702
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Climate Change', 'Air Pollution', 'Particulate Matter', 'Environmental Exposure', 'Ozone', 'Respiratory Tract Diseases', 'Air Pollutants']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39617287
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'Female', 'Hypersensitivity', 'Male', 'France', 'Dietary Exposure', 'Child', 'Cohort Studies', 'Child, Preschool', 'Pesticides', 'Respiratory Tract Diseases', 'Environmental Pollutants']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.004375309683382511]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39615506
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Cardiovascular Diseases', 'Environmental Exposure', 'Fires', 'Global Burden of Disease', 'Global Health', 'Health Impact Assessment', 'Mortality', 'Ozone', 'Particulate Matter', 'Respiratory Tract Diseases', 'Wildfires']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00048063776921480894]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39608993
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Australia', 'Adult', 'Adolescent', 'Hospitalization', 'Aged', 'Young Adult', 'Child', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Infant, Newborn', 'Aged, 80 and over', 'Sex Distribution', 'Age Distribution']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39607106
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Brazil', 'Hospitalization', 'Adolescent', 'Spatio-Temporal Analysis', 'Child', 'Respiratory Tract Diseases', 'Young Adult', 'Adult', 'Socioeconomic Factors', 'Child, Preschool', 'Female', 'Male', 'Middle Aged', 'Aged', 'Cluster Analysis', 'Infant', 'Urban Population', 'Space-Time Clustering', 'Cities']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39603392
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Asia', 'Chronic Disease', 'Quality of Life', 'Qigong', 'Yoga', 'Tai Ji', 'Resistance Training', 'Respiratory Tract Diseases', 'Exercise Therapy', 'Exercise Tolerance', 'Practice Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0010817666770890355]
+Labels: ['Diabetes type 2']
+Scores: [0.0012180820340290666]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578996
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Adult', 'Aged', 'China', 'Aged, 80 and over', 'Hand Strength', 'Respiratory Tract Diseases', 'Muscle, Skeletal', 'Muscle Strength', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Diabetes type 2']
+Scores: [0.0034037078730762005]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578779
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Signal Transduction', 'Animals', 'Smad5 Protein', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.014465436339378357]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570415
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nutrition Surveys', 'Middle Aged', 'Male', 'Female', 'Adult', 'Aged', 'Antioxidants', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Aged, 80 and over', 'Infant', 'Chronic Disease', 'Child', 'Diet', 'United States', 'Respiratory Tract Diseases', 'Risk Factors', 'Mortality', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570333
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Vietnam', 'Humans', 'Hospitalization', 'Male', 'Female', 'Middle Aged', 'Temperature', 'Aged', 'Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Young Adult', 'Infant', 'Cardiovascular Diseases', 'Child, Preschool', 'Child', 'Poverty', 'Infant, Newborn', 'Aged, 80 and over', 'Risk']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39566943
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fukushima Nuclear Accident', 'Japan', 'Retrospective Studies', 'Male', 'Female', 'Aged', 'Middle Aged', 'Adult', 'Cause of Death', 'Young Adult', 'Adolescent', 'Child', 'Aged, 80 and over', 'Child, Preschool', 'Infant', 'Disasters', 'Earthquakes', 'Respiratory Tract Diseases', 'Cardiovascular Diseases', 'Suicide', 'Infant, Newborn', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39566532
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Exosomes', 'Humans', 'Respiratory Tract Diseases', 'Animals', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39550655
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Particulate Matter', 'Middle Aged', 'Aged', 'Adult', 'Cohort Studies', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Neoplasms', 'Air Pollution', 'Air Pollutants', 'Cardiovascular Diseases', 'Italy', 'Rivers', 'Young Adult', 'Proportional Hazards Models', 'Manufacturing and Industrial Facilities', 'Adolescent', 'Cause of Death', 'Industry', 'Nitrogen Oxides', 'Child, Preschool', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39544058
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Volatile Organic Compounds', 'Air Pollution, Indoor', 'Pulmonary Disease, Chronic Obstructive', 'Respiratory Tract Diseases', 'Asthma', 'Sick Building Syndrome']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39543369
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bipolar Disorder', 'Pulmonary Disease, Chronic Obstructive', 'Asthma', 'Prevalence', 'Female', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Male', 'Pneumonia', 'Odds Ratio', 'Respiration Disorders', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39537245
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cell Communication', 'Extracellular Vesicles', 'Animals', 'Lung', 'Lung Diseases', 'Signal Transduction', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39530346
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollution', 'Environmental Exposure', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Environmental Monitoring', 'Air Filters', 'Child', 'Exercise', 'Aged', 'Air Pollutants', 'Masks']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39521464
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nepal', 'Child', 'Risk Factors', 'Female', 'Research Design', 'Male', 'Longitudinal Studies', 'Adult', 'Adolescent', 'Parents', 'Child, Preschool', 'Air Pollution', 'Respiratory Tract Diseases', 'Cohort Studies', 'Life Style', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39515807
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'RNA, Untranslated', 'RNA, Long Noncoding', 'Epigenesis, Genetic', 'MicroRNAs', 'Respiratory Tract Diseases', 'RNA, Circular']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39513278
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biomarkers', 'Female', 'Air Pollutants', 'Respiratory Tract Diseases', 'Chronic Disease', 'Environmental Exposure', 'Air Pollution', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39505076
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Particulate Matter', 'Republic of Korea', 'Cardiovascular Diseases', 'Humans', 'Air Pollutants', 'Air Pollution', 'Hospitalization', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39503908
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Occupational Injuries', "Workers' Compensation", 'Seasons', 'Middle Aged', 'Occupational Diseases', 'Emergency Responders', 'Mental Disorders', 'Firefighters', 'Victoria', 'Musculoskeletal Diseases', 'Wildfires', 'Respiratory Tract Diseases', 'Young Adult', 'Police']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39502059
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Sounds', 'Respiratory Tract Diseases', 'Auscultation']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.006502716802060604]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494780
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Antioxidants', 'Diet', 'Hypersensitivity', 'Child, Preschool', 'Inflammation', 'Male', 'Birth Cohort', 'Multimorbidity', 'Adult', 'Maternal Nutritional Physiological Phenomena', 'Infant', 'Respiratory Tract Diseases', 'Asthma', 'Prenatal Exposure Delayed Effects', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01583700440824032]
+Labels: ['Diabetes']
+Scores: [0.0030078080017119646]
+Labels: ['Cancer']
+Scores: [0.01115491520613432]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020203229039907455]
+Labels: ['Cardiovascular diseases']
+Scores: [0.026670711115002632]
+Labels: ['Mental Health']
+Scores: [0.0012516259448602796]
+Labels: ['Diabetes type 1']
+Scores: [0.0025265596341341734]
+Labels: ['Diabetes type 2']
+Scores: [0.0024722456000745296]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494537
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Caregivers', 'Chronic Disease', 'Patient Education as Topic', 'Health Literacy', 'Palliative Care', 'Advance Care Planning', 'Decision Making, Shared', 'Learning', 'Respiratory Tract Diseases', 'Health Knowledge, Attitudes, Practice', 'Adaptation, Psychological', 'Decision Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013591970317065716]
+Labels: ['Diabetes']
+Scores: [0.0015810776967555285]
+Labels: ['Cancer']
+Scores: [0.008256282657384872]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9648452997207642]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006500199902802706]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0037785153836011887]
+Labels: ['Diabetes type 2']
+Scores: [0.005429537035524845]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494092
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Europe', 'Nitrogen Dioxide', 'Ozone', 'Respiratory Tract Diseases', 'World Health Organization']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010615997947752476]
+Labels: ['Diabetes']
+Scores: [0.0003634589374996722]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.01650433987379074]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00033399774110876024]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00045685170334763825]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39493756
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Computational Biology', 'User-Computer Interface', 'Databases, Factual', 'Respiratory Tract Diseases', 'Software']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011509662494063377]
+Labels: ['Diabetes']
+Scores: [0.023038428276777267]
+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00866564828902483]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39489274
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Republic of Korea', 'Humans', 'Female', 'Male', 'Temperature', 'Middle Aged', 'Seasons', 'Aged', 'Cardiovascular Diseases', 'Mortality', 'Adult', 'Child', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Infant', 'Aged, 80 and over', 'Respiratory Tract Diseases', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
+Scores: [0.0006989183020778]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0007857066229917109]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39477760
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Spain', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Adolescent', 'Young Adult', 'Cause of Death', 'Aged, 80 and over', 'Child', 'Child, Preschool', 'Infant', 'Respiratory Tract Diseases', 'Mortality', 'Pandemics', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0011217809515073895]
+Labels: ['Diabetes type 2']
+Scores: [0.0013297111727297306]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39472952
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'South Africa', 'Quality of Life', 'Child, Preschool', 'Infant', 'Male', 'Female', 'Delphi Technique', 'Surveys and Questionnaires', 'Respiratory Tract Diseases', 'Infant, Newborn', 'Psychometrics', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
+Scores: [0.01296667568385601]
+Labels: ['Chronic respiratory disease']
+Scores: [0.048934485763311386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0057397205382585526]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004684108775109053]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39468133
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'South Africa', 'Female', 'Male', 'Eggs', 'Gastrointestinal Diseases', 'Infant Nutritional Physiological Phenomena', 'Respiratory Tract Diseases', 'Incidence', 'Morbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014290773309767246]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0008619077852927148]
+Labels: ['Diabetes type 1']
+Scores: [0.002006012015044689]
+Labels: ['Diabetes type 2']
+Scores: [0.002888341201469302]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39466470
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bone Morphogenetic Protein 2', 'Signal Transduction', 'Animals', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Hypertension, Pulmonary']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007257221266627312]
+Labels: ['Diabetes']
+Scores: [0.0010086825350299478]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.29018354415893555]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0008998647681437433]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39465586
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Comorbidity', 'Patient Readmission', 'Length of Stay', 'Middle Aged', 'Retrospective Studies', 'Heart Failure', 'Prospective Studies', 'Hypertension', 'Myocardial Ischemia', 'Pulmonary Heart Disease', 'Aged, 80 and over', 'Prevalence', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014324578456580639]
+Labels: ['Diabetes']
+Scores: [0.0005513234646059573]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8486397862434387]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6753972172737122]
+Labels: ['Mental Health']
+Scores: [0.0007069473504088819]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.018697122111916542]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39462582
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Ozone', 'Japan', 'Particulate Matter', 'Humans', 'Air Pollutants', 'Cities', 'Aged', 'Female', 'Mortality', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'Air Pollution', 'Hot Temperature', 'Temperature', 'Respiratory Tract Diseases', 'Environmental Exposure', 'Young Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009196956641972065]
+Labels: ['Diabetes']
+Scores: [0.0007480241474695504]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.016551628708839417]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.01886759139597416]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462039
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Gastrointestinal Microbiome', 'Genome-Wide Association Study', 'Lung', 'Respiratory Tract Diseases', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011533740907907486]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.014538033865392208]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0016244783764705062]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39457304
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'Dust', 'Adult', 'Male', 'Occupational Exposure', 'Ethiopia', 'Female', 'Paper', 'Middle Aged', 'Cough', 'Prevalence', 'Young Adult', 'Respiratory Tract Diseases', 'Respiratory Sounds', 'Surveys and Questionnaires', 'Occupational Diseases', 'Industry', 'Dyspnea', 'Air Pollutants, Occupational']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0020364155061542988]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39453518
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'Aged', 'Female', 'Male', 'Cross-Over Studies', 'Altitude', 'Air Pollutants', 'Respiratory Tract Diseases', 'China', 'Extreme Weather', 'Aged, 80 and over', 'Middle Aged', 'Cities', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0007052231812849641]
+Labels: ['Diabetes type 2']
+Scores: [0.000761658709961921]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444957
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Adolescent', 'Adult', 'Child', 'Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0418512187898159]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.11853993684053421]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.003499011043459177]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Middle Aged', 'Heating', 'Prospective Studies', 'Female', 'Male', 'Respiratory Tract Diseases', 'Proportional Hazards Models', 'China', 'Smoking', 'Risk Factors', 'Adult', 'Air Pollution, Indoor']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
+Scores: [0.002257779473438859]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.03552727401256561]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006010940996930003]
+Labels: ['Mental Health']
+Scores: [0.0009676521294750273]
+Labels: ['Diabetes type 1']
+Scores: [0.0007628551102243364]
+Labels: ['Diabetes type 2']
+Scores: [0.0009219495113939047]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39443904
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Netherlands', 'Female', 'Male', 'Adult', 'Middle Aged', 'Smoke', 'Wood', 'Air Pollutants', 'Environmental Exposure', 'Aged', 'Particulate Matter', 'Respiratory Tract Diseases', 'Glucose']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03418842703104019]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.011001944541931152]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008958175778388977]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39439241
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Switzerland', 'Humans', 'History, 20th Century', 'History, 21st Century', 'History, 17th Century', 'History, 16th Century', 'Respiratory Tract Diseases', 'Male', 'Female', 'History, 18th Century', 'History, 19th Century', 'Adult', 'Middle Aged', 'Respiration Disorders', 'Aged', 'Child', 'Adolescent', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436432
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Prospective Studies', 'Child', 'Respiratory Tract Diseases', 'Male', 'Female', 'Air Pollutants', 'Particulate Matter', 'Air Pollution', 'Child Health', 'Environmental Exposure', 'Air Pollution, Indoor', 'Adolescent', 'Environmental Monitoring']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39435892
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'United Kingdom', 'Particulate Matter', 'Male', 'Female', 'Middle Aged', 'Aged', 'Proportional Hazards Models', 'Environmental Exposure', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Mortality', 'Time Factors', 'Air Pollution', 'Air Pollutants', 'Adult', 'Cohort Studies', 'Machine Learning', 'Respiratory Tract Diseases', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
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+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39434079
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Air Pollution', 'Respiratory Tract Diseases', 'Risk Assessment', 'Air Pollutants', 'Reproducibility of Results']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424664
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollution', 'Particulate Matter', 'Air Pollutants', 'Meteorological Concepts', 'Respiratory Tract Diseases', 'Iran', 'Sulfur Dioxide', 'Nitrogen Dioxide', 'Random Forest']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424373
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Surveys and Questionnaires', 'Child', 'Quality Improvement', 'Documentation', 'Preoperative Care', 'Pediatrics', 'Respiration Disorders', 'Respiratory Tract Diseases', 'Preoperative Period']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39423508
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Phthalic Acids', 'Male', 'Female', 'Child', 'China', 'Cardiovascular Diseases', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Anthropometry', 'Dust', 'Schools', 'Endocrine Disruptors', 'Risk Assessment', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421822
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ambulances', 'China', 'Middle Aged', 'Cardiovascular Diseases', 'Temperature', 'Aged', 'Adult', 'Emergency Medical Services', 'Respiratory Tract Diseases', 'Seasons']
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+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39419650
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Omalizumab', 'Anti-Inflammatory Agents, Non-Steroidal', 'Antibodies, Anti-Idiotypic', 'Asthma, Aspirin-Induced', 'Anti-Allergic Agents', 'Drug Hypersensitivity', 'Respiratory Tract Diseases', 'Animals']
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+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39419227
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Microbiota', 'Air Microbiology', 'Middle Aged', 'Cross-Sectional Studies', 'China', 'Prevalence', 'Adult', 'Female', 'Aged', 'Air Pollution, Indoor', 'Respiratory Tract Diseases', 'Male', 'Plants', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39410863
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Africa', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Infections', 'Respiratory Tract Diseases', 'Female', 'Risk Factors', 'Family Characteristics', 'Child', 'Male']
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+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39408565
+Predictions: ['Chronic respiratory disease']
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+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39406209
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Northern Territory', 'Animals', 'Smoke', 'Turtles', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases']
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+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39395132
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Sarcopenia', 'Genome-Wide Association Study', 'Body Mass Index', 'Respiratory Tract Diseases', 'Male', 'Pulmonary Disease, Chronic Obstructive', 'Female', 'Smoking', 'Pneumoconiosis']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39394579
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Japan', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Tobacco Products', 'Surveys and Questionnaires', 'Internet', 'Smoking', 'Hot Temperature', 'Aged', 'Young Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39391315
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Liquid-Liquid Extraction', 'Signal Transduction', 'Phase Separation']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39389134
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Particulate Matter', 'Aged', 'Humans', 'Air Pollutants', 'Risk Assessment', 'China', 'Air Pollution', 'Environmental Exposure', 'Fossil Fuels', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.0006528561934828758]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39384295
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Rain', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Global Health', 'Cause of Death', 'Mortality', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016940593719482422]
+Labels: ['Diabetes']
+Scores: [0.0025766852777451277]
+Labels: ['Cancer']
+Scores: [0.030136950314044952]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02749527245759964]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5416972041130066]
+Labels: ['Mental Health']
+Scores: [0.0031342373695224524]
+Labels: ['Diabetes type 1']
+Scores: [0.0008754783193580806]
+Labels: ['Diabetes type 2']
+Scores: [0.0008694340940564871]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39384238
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Observational Studies as Topic', 'Respiratory Tract Diseases', 'Systematic Reviews as Topic', 'Walking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009308923967182636]
+Labels: ['Diabetes']
+Scores: [0.005981907248497009]
+Labels: ['Cancer']
+Scores: [0.0037788276094943285]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004206928424537182]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.002834681887179613]
+Labels: ['Diabetes type 1']
+Scores: [0.0007701865979470313]
+Labels: ['Diabetes type 2']
+Scores: [0.00119504623580724]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39374569
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Saliva', 'Breath Tests', 'Respiratory Tract Diseases', 'Exhalation', 'Electrochemical Techniques', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05164173245429993]
+Labels: ['Diabetes']
+Scores: [0.0021170158870518208]
+Labels: ['Cancer']
+Scores: [0.024886444211006165]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18420490622520447]
+Labels: ['Cardiovascular diseases']
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+Scores: [0.0020562445279210806]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.021067507565021515]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39370174
+Predictions: ['Chronic respiratory disease', 'Mental Health']
+MeshTerm: ['Humans', 'Comorbidity', 'Mental Disorders', 'Respiratory Tract Diseases', 'Quality of Life', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04515053704380989]
+Labels: ['Diabetes']
+Scores: [0.0008001945680007339]
+Labels: ['Cancer']
+Scores: [0.050966326147317886]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02057536505162716]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009995563887059689]
+Labels: ['Mental Health']
+Scores: [0.9734852910041809]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.001909946440719068]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39370173
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mental Disorders', 'Tuberculosis, Pulmonary', 'Tuberculosis', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03379575535655022]
+Labels: ['Diabetes']
+Scores: [0.0006769822211936116]
+Labels: ['Cancer']
+Scores: [0.016638804227113724]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08383612334728241]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0005770496209152043]
+Labels: ['Diabetes type 2']
+Scores: [0.0006448670756071806]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39366894
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Prenatal Exposure Delayed Effects', 'Smoking', 'Child', 'Infant, Newborn', 'Respiratory Tract Diseases', 'Adolescent', 'Maternal Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011687790043652058]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.05377975106239319]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0006418247357942164]
+Labels: ['Diabetes type 1']
+Scores: [0.001244700513780117]
+Labels: ['Diabetes type 2']
+Scores: [0.0013613917399197817]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39364938
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'United Kingdom', 'Veterinary Medicine', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012391000054776669]
+Labels: ['Diabetes']
+Scores: [0.0009283667895942926]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3674384653568268]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0004577656800393015]
+Labels: ['Diabetes type 2']
+Scores: [0.0004931451985612512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39362458
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Residence Characteristics', 'Aged', 'Mortality', 'Cities', 'Middle Aged', 'Aging', 'Cardiovascular Diseases', 'Male', 'Female', 'Neoplasms', 'Respiratory Tract Diseases', 'Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.011648938059806824]
+Labels: ['Cardiovascular diseases']
+Scores: [0.043148912489414215]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0047342171892523766]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39362179
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Pilot Projects', 'Aged', 'Male', 'Chronic Disease', 'Female', 'Exercise Therapy', 'Prospective Studies', 'Problem Solving', 'Physical Functional Performance', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026009323075413704]
+Labels: ['Diabetes']
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+Labels: ['Mental Health']
+Scores: [0.0002941543352790177]
+Labels: ['Diabetes type 1']
+Scores: [0.001681973459199071]
+Labels: ['Diabetes type 2']
+Scores: [0.002260087989270687]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39353528
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Taiwan', 'Humans', 'Cardiovascular Diseases', 'Climate Change', 'Temperature', 'Middle Aged', 'Aged', 'Adult', 'Respiratory Tract Diseases', 'Male', 'Female', 'Seasons', 'Vulnerable Populations', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020953644067049026]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0019246743759140372]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39354585
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Chemoradiotherapy', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030405964702367783]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0009822908323258162]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39352090
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Slovakia', 'Occupational Diseases', 'Adult', 'Male', 'Female', 'Prevalence', 'Middle Aged', 'Agriculture', 'Occupational Exposure', 'Manufacturing Industry', 'Asthma, Occupational', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01887846551835537]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.017794383689761162]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00038700553704984486]
+Labels: ['Diabetes type 1']
+Scores: [0.000789554207585752]
+Labels: ['Diabetes type 2']
+Scores: [0.000959771394263953]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39348213
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['China', 'Air Pollutants', 'Humans', 'Bayes Theorem', 'Particulate Matter', 'Air Pollution', 'Respiratory Tract Diseases', 'Sulfur Dioxide', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03849809989333153]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.45761653780937195]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004444400314241648]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338131
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Brazil', 'Humans', 'Male', 'Female', 'Mortality', 'Middle Aged', 'Adult', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Cardiovascular Diseases', 'Temperature', 'Hot Temperature', 'Aged, 80 and over', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39334540
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Italy', 'Child', 'Pesticides', 'Female', 'Male', 'Adolescent', 'Environmental Exposure', 'Surveys and Questionnaires', 'Risk Factors', 'Health Status', 'Logistic Models', 'Agriculture', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Scores: [0.0007656813831999898]
+Labels: ['Diabetes type 2']
+Scores: [0.0008627725765109062]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39332351
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Wildfires', 'Smoke', 'Occupational Exposure', 'Firefighters', 'Respiratory Tract Diseases', 'Respiratory Function Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02711501531302929]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0007385216886177659]
+Labels: ['Diabetes type 2']
+Scores: [0.0008049999596551061]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39331188
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'COVID-19', 'Glioma', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Adult', 'Aged', 'Brain Neoplasms', 'SEER Program', 'Young Adult', 'Pandemics', 'Respiratory Tract Diseases', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026530642062425613]
+Labels: ['Diabetes']
+Scores: [0.0011015183990821242]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0959835797548294]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013786759227514267]
+Labels: ['Mental Health']
+Scores: [0.0014446517452597618]
+Labels: ['Diabetes type 1']
+Scores: [0.003074833657592535]
+Labels: ['Diabetes type 2']
+Scores: [0.0059189507737755775]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39323116
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Vietnam', 'Male', 'Female', 'Prospective Studies', 'Infant', 'Infant, Newborn', 'Intensive Care Units, Pediatric', 'Infant, Premature', 'Critical Illness', 'Respiration, Artificial', 'Length of Stay', 'Child, Preschool', 'Respiratory Tract Diseases', 'Infant, Premature, Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01318405568599701]
+Labels: ['Diabetes']
+Scores: [0.00030692736618220806]
+Labels: ['Cancer']
+Scores: [0.0011209335643798113]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02811720035970211]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014827114064246416]
+Labels: ['Mental Health']
+Scores: [0.00031822131131775677]
+Labels: ['Diabetes type 1']
+Scores: [0.0003812874492723495]
+Labels: ['Diabetes type 2']
+Scores: [0.00041676044929772615]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316790
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'China', 'Male', 'Female', 'Middle Aged', 'Cohort Studies', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases', 'Aged', 'Air Pollutants', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03050803393125534]
+Labels: ['Diabetes']
+Scores: [0.000418852869188413]
+Labels: ['Cancer']
+Scores: [0.053752172738313675]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019074752926826477]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005390810780227184]
+Labels: ['Mental Health']
+Scores: [0.0004221820563543588]
+Labels: ['Diabetes type 1']
+Scores: [0.0008349712588824332]
+Labels: ['Diabetes type 2']
+Scores: [0.0008835289045237005]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316681
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Mechanotransduction, Cellular', 'Stress, Mechanical', 'Extracellular Matrix', 'Respiratory Mechanics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03611691668629646]
+Labels: ['Diabetes']
+Scores: [0.001461499254219234]
+Labels: ['Cancer']
+Scores: [0.0025675417855381966]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06889376044273376]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01864168979227543]
+Labels: ['Mental Health']
+Scores: [0.0006919513689354062]
+Labels: ['Diabetes type 1']
+Scores: [0.004750070162117481]
+Labels: ['Diabetes type 2']
+Scores: [0.00559127377346158]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39314792
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Air Pollutants', 'Particulate Matter', 'Respiratory Function Tests', 'Air Pollution', 'Nitrogen Dioxide', 'Environmental Exposure', 'Chronic Disease', 'Male', 'Forced Expiratory Volume', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017243076115846634]
+Labels: ['Diabetes']
+Scores: [0.0007293333765119314]
+Labels: ['Cancer']
+Scores: [0.007040828000754118]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1385539174079895]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011520456755533814]
+Labels: ['Mental Health']
+Scores: [0.0003607204998843372]
+Labels: ['Diabetes type 1']
+Scores: [0.0011983305448666215]
+Labels: ['Diabetes type 2']
+Scores: [0.0019478066824376583]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39304964
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bronchoscopy', 'Infant, Newborn', 'Retrospective Studies', 'Male', 'Female', 'Fiber Optic Technology', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011484836228191853]
+Labels: ['Diabetes']
+Scores: [0.00044450911809690297]
+Labels: ['Cancer']
+Scores: [0.003210175782442093]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003723863046616316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006162117351777852]
+Labels: ['Mental Health']
+Scores: [0.00035038244095630944]
+Labels: ['Diabetes type 1']
+Scores: [0.0006876409752294421]
+Labels: ['Diabetes type 2']
+Scores: [0.0007032330031506717]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39293035
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Tract Diseases', 'Pediatrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02748776227235794]
+Labels: ['Diabetes']
+Scores: [0.00038144661812111735]
+Labels: ['Cancer']
+Scores: [0.0011881607351824641]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026919026859104633]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00040292213088832796]
+Labels: ['Mental Health']
+Scores: [0.00031664822017773986]
+Labels: ['Diabetes type 1']
+Scores: [0.0005978711997158825]
+Labels: ['Diabetes type 2']
+Scores: [0.0008510739426128566]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022530419752001762]
+Labels: ['Diabetes']
+Scores: [0.0017006427515298128]
+Labels: ['Cancer']
+Scores: [0.19853955507278442]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008839176036417484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9942925572395325]
+Labels: ['Mental Health']
+Scores: [0.0013364473124966025]
+Labels: ['Diabetes type 1']
+Scores: [0.0026187689509242773]
+Labels: ['Diabetes type 2']
+Scores: [0.0036330483853816986]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025438234210014343]
+Labels: ['Diabetes']
+Scores: [0.00048550922656431794]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.010539239272475243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00987476110458374]
+Labels: ['Mental Health']
+Scores: [0.000765262171626091]
+Labels: ['Diabetes type 1']
+Scores: [0.0005058613023720682]
+Labels: ['Diabetes type 2']
+Scores: [0.0006544029456563294]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01410907506942749]
+Labels: ['Diabetes']
+Scores: [0.0024640511255711317]
+Labels: ['Cancer']
+Scores: [0.0035107724834233522]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0035372250713407993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9800894260406494]
+Labels: ['Mental Health']
+Scores: [0.0013370078522711992]
+Labels: ['Diabetes type 1']
+Scores: [0.003916002810001373]
+Labels: ['Diabetes type 2']
+Scores: [0.004394024610519409]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015340561978518963]
+Labels: ['Diabetes']
+Scores: [0.6627216935157776]
+Labels: ['Cancer']
+Scores: [0.006819849833846092]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014045678544789553]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9827383756637573]
+Labels: ['Mental Health']
+Scores: [0.0003792002971749753]
+Labels: ['Diabetes type 1']
+Scores: [0.0020430998411029577]
+Labels: ['Diabetes type 2']
+Scores: [0.9161826372146606]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05586235225200653]
+Labels: ['Diabetes']
+Scores: [0.007346639409661293]
+Labels: ['Cancer']
+Scores: [0.022954784333705902]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04883918538689613]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9949038624763489]
+Labels: ['Mental Health']
+Scores: [0.001747803296893835]
+Labels: ['Diabetes type 1']
+Scores: [0.026783088222146034]
+Labels: ['Diabetes type 2']
+Scores: [0.03495661914348602]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012230203486979008]
+Labels: ['Diabetes']
+Scores: [0.007901816628873348]
+Labels: ['Cancer']
+Scores: [0.03733232617378235]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004259536974132061]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7325254082679749]
+Labels: ['Mental Health']
+Scores: [0.000707630068063736]
+Labels: ['Diabetes type 1']
+Scores: [0.002288724761456251]
+Labels: ['Diabetes type 2']
+Scores: [0.0025417529977858067]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02368108741939068]
+Labels: ['Diabetes']
+Scores: [0.0027715926989912987]
+Labels: ['Cancer']
+Scores: [0.049939729273319244]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01491942722350359]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9986006617546082]
+Labels: ['Mental Health']
+Scores: [0.0016531965229660273]
+Labels: ['Diabetes type 1']
+Scores: [0.00752493180334568]
+Labels: ['Diabetes type 2']
+Scores: [0.009103167802095413]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Aged', 'Depression', 'Longitudinal Studies', 'Social Support', 'Cognition', 'Risk Factors', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.039215438067913055]
+Labels: ['Diabetes']
+Scores: [0.0027486311737447977]
+Labels: ['Cancer']
+Scores: [0.09579862654209137]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0031483331695199013]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8020495176315308]
+Labels: ['Mental Health']
+Scores: [0.6123337149620056]
+Labels: ['Diabetes type 1']
+Scores: [0.0034399142023175955]
+Labels: ['Diabetes type 2']
+Scores: [0.006587911397218704]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00911673717200756]
+Labels: ['Diabetes']
+Scores: [0.004968088120222092]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9014968276023865]
+Labels: ['Mental Health']
+Scores: [0.0008110650815069675]
+Labels: ['Diabetes type 1']
+Scores: [0.0068549541756510735]
+Labels: ['Diabetes type 2']
+Scores: [0.009215188212692738]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017890019342303276]
+Labels: ['Diabetes']
+Scores: [0.0012639224296435714]
+Labels: ['Cancer']
+Scores: [0.0018529570661485195]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00892061647027731]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9767099618911743]
+Labels: ['Mental Health']
+Scores: [0.0008087314781732857]
+Labels: ['Diabetes type 1']
+Scores: [0.0012988895177841187]
+Labels: ['Diabetes type 2']
+Scores: [0.0018513220129534602]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027096884325146675]
+Labels: ['Diabetes']
+Scores: [0.002905414905399084]
+Labels: ['Cancer']
+Scores: [0.0027242947835475206]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0027891944628208876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011924749705940485]
+Labels: ['Mental Health']
+Scores: [0.0003709581505972892]
+Labels: ['Diabetes type 1']
+Scores: [0.0018531149253249168]
+Labels: ['Diabetes type 2']
+Scores: [0.0035688935313373804]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016790952533483505]
+Labels: ['Diabetes']
+Scores: [0.0007306882180273533]
+Labels: ['Cancer']
+Scores: [0.007584503851830959]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002102913800626993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9859915375709534]
+Labels: ['Mental Health']
+Scores: [0.0004191030457150191]
+Labels: ['Diabetes type 1']
+Scores: [0.0026214434765279293]
+Labels: ['Diabetes type 2']
+Scores: [0.003440503729507327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028370538726449013]
+Labels: ['Diabetes']
+Scores: [0.011969870887696743]
+Labels: ['Cancer']
+Scores: [0.03967839851975441]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004807404708117247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9956631660461426]
+Labels: ['Mental Health']
+Scores: [0.0004270245262887329]
+Labels: ['Diabetes type 1']
+Scores: [0.006603412330150604]
+Labels: ['Diabetes type 2']
+Scores: [0.008651566691696644]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018062299117445946]
+Labels: ['Diabetes']
+Scores: [0.0015185464872047305]
+Labels: ['Cancer']
+Scores: [0.005534704774618149]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006256041582673788]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9240942597389221]
+Labels: ['Mental Health']
+Scores: [0.001084780553355813]
+Labels: ['Diabetes type 1']
+Scores: [0.002317986683920026]
+Labels: ['Diabetes type 2']
+Scores: [0.002408951288089156]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733208
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Female', 'Male', 'Cross-Sectional Studies', 'Apolipoproteins B', 'Cholesterol', 'Brazil', 'Genetic Predisposition to Disease', 'Risk Factors', 'Cardiovascular Diseases', 'Dyslipidemias', 'Apolipoprotein B-100', 'Polymorphism, Genetic', 'Alleles', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01409421768039465]
+Labels: ['Diabetes']
+Scores: [0.00315239280462265]
+Labels: ['Cancer']
+Scores: [0.004270044155418873]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004055229015648365]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9661515951156616]
+Labels: ['Mental Health']
+Scores: [0.0006516724824905396]
+Labels: ['Diabetes type 1']
+Scores: [0.003265673527494073]
+Labels: ['Diabetes type 2']
+Scores: [0.004470433574169874]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Air Pollution', 'Air Pollutants', 'Iran', 'Meteorological Concepts', 'Particulate Matter', 'Seasons', 'Sulfur Dioxide', 'Climate Change', 'Weather', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01529245637357235]
+Labels: ['Diabetes']
+Scores: [0.0026441041845828295]
+Labels: ['Cancer']
+Scores: [0.2934350073337555]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015387280844151974]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5823007225990295]
+Labels: ['Mental Health']
+Scores: [0.01553394366055727]
+Labels: ['Diabetes type 1']
+Scores: [0.0031580147333443165]
+Labels: ['Diabetes type 2']
+Scores: [0.0037811112124472857]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007432461250573397]
+Labels: ['Diabetes']
+Scores: [0.0011669679079204798]
+Labels: ['Cancer']
+Scores: [0.000790184480138123]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009895739145576954]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9899708032608032]
+Labels: ['Mental Health']
+Scores: [0.0017158895498141646]
+Labels: ['Diabetes type 1']
+Scores: [0.0016437172889709473]
+Labels: ['Diabetes type 2']
+Scores: [0.00202330038882792]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733154
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Triglycerides', 'Arthritis', 'Blood Glucose', 'Nutrition Surveys', 'Risk Factors', 'Adult', 'Aged', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040948253124952316]
+Labels: ['Diabetes']
+Scores: [0.008929438889026642]
+Labels: ['Cancer']
+Scores: [0.013943497091531754]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011337134055793285]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8030474781990051]
+Labels: ['Mental Health']
+Scores: [0.006094320211559534]
+Labels: ['Diabetes type 1']
+Scores: [0.00790235586464405]
+Labels: ['Diabetes type 2']
+Scores: [0.010030114091932774]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733150
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Ethiopia', 'Humans', 'Cardiovascular Diseases', 'Drugs, Essential', 'Cross-Sectional Studies', 'Health Services Accessibility', 'Drugs, Generic', 'Drug Costs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016130248084664345]
+Labels: ['Diabetes']
+Scores: [0.005438074469566345]
+Labels: ['Cancer']
+Scores: [0.003174271434545517]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014848656952381134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9310116767883301]
+Labels: ['Mental Health']
+Scores: [0.002847053809091449]
+Labels: ['Diabetes type 1']
+Scores: [0.0077975750900805]
+Labels: ['Diabetes type 2']
+Scores: [0.011431018821895123]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733137
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Manganese', 'Cardiovascular Diseases', 'Adult', 'Male', 'Female', 'Middle Aged', 'United States', 'Cross-Sectional Studies', 'Nutrition Surveys', 'Aged', 'Young Adult', 'Risk Factors', 'Bayes Theorem']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015425260178744793]
+Labels: ['Diabetes']
+Scores: [0.001383639988489449]
+Labels: ['Cancer']
+Scores: [0.0014946627197787166]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005769270937889814]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8829007148742676]
+Labels: ['Mental Health']
+Scores: [0.0014037999790161848]
+Labels: ['Diabetes type 1']
+Scores: [0.002627231413498521]
+Labels: ['Diabetes type 2']
+Scores: [0.0028741073329001665]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732966
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Dyslipidemias', 'Humans', 'Turkey', 'Delphi Technique', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cholesterol, LDL', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'PCSK9 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024277471005916595]
+Labels: ['Diabetes']
+Scores: [0.005870068911463022]
+Labels: ['Cancer']
+Scores: [0.001220025704242289]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00734459375962615]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9896377921104431]
+Labels: ['Mental Health']
+Scores: [0.00046679904335178435]
+Labels: ['Diabetes type 1']
+Scores: [0.011975453235208988]
+Labels: ['Diabetes type 2']
+Scores: [0.022483980283141136]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020059257745742798]
+Labels: ['Diabetes']
+Scores: [0.7949438691139221]
+Labels: ['Cancer']
+Scores: [0.0020196677651256323]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022476438898593187]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8722420334815979]
+Labels: ['Mental Health']
+Scores: [0.0008161027217283845]
+Labels: ['Diabetes type 1']
+Scores: [0.034686096012592316]
+Labels: ['Diabetes type 2']
+Scores: [0.16467195749282837]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Young Adult', 'Longitudinal Studies', 'Male', 'Adolescent', 'Female', 'Cardiovascular Diseases', 'Universities', 'Cardiometabolic Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01983538642525673]
+Labels: ['Diabetes']
+Scores: [0.00577195081859827]
+Labels: ['Cancer']
+Scores: [0.028354255482554436]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12029383331537247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.857173502445221]
+Labels: ['Mental Health']
+Scores: [0.004004654008895159]
+Labels: ['Diabetes type 1']
+Scores: [0.003767079673707485]
+Labels: ['Diabetes type 2']
+Scores: [0.007767959963530302]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732415
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Troponin T', 'Aged', 'Male', 'Female', 'Follow-Up Studies', 'Natriuretic Peptide, Brain', 'Cardiovascular Diseases', 'Aged, 80 and over', 'Biomarkers', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03053322434425354]
+Labels: ['Diabetes']
+Scores: [0.0023209804203361273]
+Labels: ['Cancer']
+Scores: [0.0912129357457161]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1748531013727188]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9947920441627502]
+Labels: ['Mental Health']
+Scores: [0.0006986580556258559]
+Labels: ['Diabetes type 1']
+Scores: [0.0016500254860147834]
+Labels: ['Diabetes type 2']
+Scores: [0.0027725021354854107]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014066661708056927]
+Labels: ['Diabetes']
+Scores: [0.0023953281342983246]
+Labels: ['Cancer']
+Scores: [0.009657621383666992]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0023885907139629126]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008699150756001472]
+Labels: ['Mental Health']
+Scores: [0.0011800501961261034]
+Labels: ['Diabetes type 1']
+Scores: [0.003479063743725419]
+Labels: ['Diabetes type 2']
+Scores: [0.004264558665454388]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731858
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Myocardial Ischemia', 'Wearable Electronic Devices', 'Randomized Controlled Trials as Topic', 'Myocardial Infarction', 'Hospitalization', 'Cardiovascular Diseases', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019828863441944122]
+Labels: ['Diabetes']
+Scores: [0.036418456584215164]
+Labels: ['Cancer']
+Scores: [0.0006567611708305776]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024061014875769615]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9632946848869324]
+Labels: ['Mental Health']
+Scores: [0.0002886622678488493]
+Labels: ['Diabetes type 1']
+Scores: [0.004771530162543058]
+Labels: ['Diabetes type 2']
+Scores: [0.011314530856907368]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731821
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Cardiovascular Diseases', 'Saliva', 'Lab-On-A-Chip Devices', 'Immunoassay', 'Interleukin-6', 'C-Reactive Protein', 'Equipment Design', 'Procalcitonin', 'Limit of Detection']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015747318044304848]
+Labels: ['Diabetes']
+Scores: [0.005337994545698166]
+Labels: ['Cancer']
+Scores: [0.013221686705946922]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021491621155291796]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9494461417198181]
+Labels: ['Mental Health']
+Scores: [0.0005296418094076216]
+Labels: ['Diabetes type 1']
+Scores: [0.004005282185971737]
+Labels: ['Diabetes type 2']
+Scores: [0.006744008976966143]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bacteria', 'Biomarkers', 'Blood Glucose', 'Cardiometabolic Risk Factors', 'Cardiovascular Diseases', 'China', 'Cholesterol, HDL', 'Cholesterol, LDL', 'Cohort Studies', 'East Asian People', 'Feces', 'Gastrointestinal Microbiome', 'Indoleacetic Acids', 'Indoles', 'Propionates', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026094477623701096]
+Labels: ['Diabetes']
+Scores: [0.056500695645809174]
+Labels: ['Cancer']
+Scores: [0.0200696662068367]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11665649712085724]
+Labels: ['Cardiovascular diseases']
+Scores: [0.968513011932373]
+Labels: ['Mental Health']
+Scores: [0.0010650369804352522]
+Labels: ['Diabetes type 1']
+Scores: [0.006511936895549297]
+Labels: ['Diabetes type 2']
+Scores: [0.009915209375321865]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016175244003534317]
+Labels: ['Diabetes']
+Scores: [0.08878304809331894]
+Labels: ['Cancer']
+Scores: [0.016374442726373672]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0361013188958168]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9325904250144958]
+Labels: ['Mental Health']
+Scores: [0.0022501572966575623]
+Labels: ['Diabetes type 1']
+Scores: [0.013615972362458706]
+Labels: ['Diabetes type 2']
+Scores: [0.015235125087201595]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731058
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'United States', 'Middle Aged', 'Depression', 'Adult', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Aged', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024520860984921455]
+Labels: ['Diabetes']
+Scores: [0.0019146183039993048]
+Labels: ['Cancer']
+Scores: [0.03454356640577316]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003681547474116087]
+Labels: ['Cardiovascular diseases']
+Scores: [0.953707218170166]
+Labels: ['Mental Health']
+Scores: [0.9368217587471008]
+Labels: ['Diabetes type 1']
+Scores: [0.0009727912838570774]
+Labels: ['Diabetes type 2']
+Scores: [0.0018578246235847473]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730958
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Triglycerides', 'Female', 'Middle Aged', 'Cardiovascular Diseases', 'Blood Glucose', 'Aged', 'Retrospective Studies', 'Cross-Sectional Studies', 'Atherosclerosis', 'China', 'Risk Factors', 'Longitudinal Studies', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016583142802119255]
+Labels: ['Diabetes']
+Scores: [0.009351965971291065]
+Labels: ['Cancer']
+Scores: [0.003253885079175234]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01099876593798399]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.002814037725329399]
+Labels: ['Diabetes type 1']
+Scores: [0.005590162705630064]
+Labels: ['Diabetes type 2']
+Scores: [0.008425063453614712]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730871
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Genome-Wide Association Study', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Carotid Intima-Media Thickness', 'Genetic Pleiotropy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011992734856903553]
+Labels: ['Diabetes']
+Scores: [0.07882267236709595]
+Labels: ['Cancer']
+Scores: [0.0010886774398386478]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015817848965525627]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0005789446295239031]
+Labels: ['Diabetes type 1']
+Scores: [0.012028123252093792]
+Labels: ['Diabetes type 2']
+Scores: [0.13886907696723938]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730843
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Electrocardiography', 'Male', 'Female', 'Middle Aged', 'Smoking', 'Adult', 'Cotinine', 'Arrhythmias, Cardiac', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019040318205952644]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.5368795394897461]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0007428863318637013]
+Labels: ['Diabetes type 1']
+Scores: [0.00237674149684608]
+Labels: ['Diabetes type 2']
+Scores: [0.002819987013936043]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730815
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chile', 'Male', 'Female', 'Exercise', 'Adult', 'Middle Aged', 'Depression', 'Cardiometabolic Risk Factors', 'Obesity', 'Prevalence', 'Overweight', 'Risk Factors', 'Aged', 'Young Adult', 'Cardiovascular Diseases', 'Waist Circumference', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012689863331615925]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.938100278377533]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9788076877593994]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0020993510261178017]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730152
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Cross-Sectional Studies', 'Dyslipidemias', 'Middle Aged', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Diet', 'Aged, 80 and over', 'Logistic Models', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Scores: [0.9862313270568848]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729514
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Tobacco Smoke Pollution', 'Global Burden of Disease', 'Male', 'Female', 'Disability-Adjusted Life Years', 'Middle Aged', 'Global Health', 'Adult', 'Aged', 'Quality-Adjusted Life Years']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014323255978524685]
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+Labels: ['Cancer']
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+Scores: [0.9963449239730835]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0051490734331309795]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729492
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'United States', 'Nutrition Surveys', 'Bayes Theorem', 'Environmental Exposure', 'Metals', 'Aged', 'Proportional Hazards Models', 'Cause of Death', 'Lead']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
+Scores: [0.012033235281705856]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729424
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Polymorphism, Single Nucleotide', 'Genome-Wide Association Study', 'Male', 'Female', 'Phenotype', 'Norway', 'Genetic Predisposition to Disease', 'Cardiovascular Diseases', 'Phenomics', 'Middle Aged', 'Linkage Disequilibrium', 'Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727377
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Middle Aged', 'Blood Pressure', 'Renal Dialysis', 'Crystalloid Solutions', 'Osmotic Pressure', 'Aged', 'Kidney Failure, Chronic', 'Cardiovascular Diseases', 'Risk Factors', 'Adult', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.011781449429690838]
+Labels: ['Diabetes type 2']
+Scores: [0.028847847133874893]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04480257257819176]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9591560959815979]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.9721375703811646]
+Labels: ['Diabetes type 2']
+Scores: [0.000598517304752022]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Glycogen Synthase Kinase 3 beta', 'Cardiovascular Diseases', 'Wnt Signaling Pathway', 'Animals', 'Adipose Tissue', 'beta Catenin', 'Metabolic Syndrome', 'Metabolic Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030336443334817886]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.3998250961303711]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.023895462974905968]
+Labels: ['Diabetes type 2']
+Scores: [0.06070540472865105]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016017736867070198]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.07369275391101837]
+Labels: ['Diabetes type 2']
+Scores: [0.26898685097694397]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725697
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Klotho Proteins', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prospective Studies', 'Adult', 'Nutrition Surveys', 'Aged', 'Cause of Death', 'Depression', 'Proportional Hazards Models', 'Mortality', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010820237919688225]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.002019956475123763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06657049059867859]
+Labels: ['Mental Health']
+Scores: [0.6985052824020386]
+Labels: ['Diabetes type 1']
+Scores: [0.0014081534463912249]
+Labels: ['Diabetes type 2']
+Scores: [0.0020415487233549356]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725339
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'beta Catenin', 'Cardiovascular Diseases', 'Receptors, Notch', 'Wnt Signaling Pathway']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02669540047645569]
+Labels: ['Diabetes']
+Scores: [0.003644638927653432]
+Labels: ['Cancer']
+Scores: [0.0021075974218547344]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008391790091991425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9885693192481995]
+Labels: ['Mental Health']
+Scores: [0.0016117938794195652]
+Labels: ['Diabetes type 1']
+Scores: [0.004624851047992706]
+Labels: ['Diabetes type 2']
+Scores: [0.004877014085650444]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724625
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Ukraine', 'Middle Aged', 'Emergency Responders', 'Adult', 'Military Personnel', 'Electrocardiography', 'Radiation Exposure', 'Occupational Exposure', 'Hypertension', 'Echocardiography', 'Cardiovascular System', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0641966238617897]
+Labels: ['Diabetes']
+Scores: [0.0004871743731200695]
+Labels: ['Cancer']
+Scores: [0.016259629279375076]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11198452860116959]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9917054772377014]
+Labels: ['Mental Health']
+Scores: [0.0005280025652609766]
+Labels: ['Diabetes type 1']
+Scores: [0.0007213327917270362]
+Labels: ['Diabetes type 2']
+Scores: [0.0009462430025450885]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03974303603172302]
+Labels: ['Diabetes']
+Scores: [0.00041833511204458773]
+Labels: ['Cancer']
+Scores: [0.02980855107307434]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024312155321240425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027285886462777853]
+Labels: ['Mental Health']
+Scores: [0.00043371954234316945]
+Labels: ['Diabetes type 1']
+Scores: [0.00039434307836927474]
+Labels: ['Diabetes type 2']
+Scores: [0.00043867569183930755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724119
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mental Disorders', 'Male', 'Adult', 'Female', 'Middle Aged', 'Schizophrenia', 'Mass Screening', 'Healthy Lifestyle', 'Occupational Therapy', 'Cardiovascular Diseases', 'Pilot Projects', 'Risk Factors', 'Physical Therapy Modalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0064576189033687115]
+Labels: ['Diabetes']
+Scores: [0.0005243859486654401]
+Labels: ['Cancer']
+Scores: [0.0010186205618083477]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007889510598033667]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008645727299153805]
+Labels: ['Mental Health']
+Scores: [0.6293551325798035]
+Labels: ['Diabetes type 1']
+Scores: [0.0005955185042694211]
+Labels: ['Diabetes type 2']
+Scores: [0.0006914007826708257]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723980
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Delphi Technique', 'Fatty Liver', 'Mass Screening', 'Metabolic Syndrome', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022723400965332985]
+Labels: ['Diabetes']
+Scores: [0.001719628693535924]
+Labels: ['Cancer']
+Scores: [0.0008670073584653437]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9969407916069031]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.004031902179121971]
+Labels: ['Diabetes type 2']
+Scores: [0.004622044041752815]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723782
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Risk Factors', 'SARS-CoV-2', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005598894786089659]
+Labels: ['Diabetes']
+Scores: [0.00047543441178277135]
+Labels: ['Cancer']
+Scores: [0.00233705947175622]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08219555020332336]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9936690926551819]
+Labels: ['Mental Health']
+Scores: [0.0002911713963840157]
+Labels: ['Diabetes type 1']
+Scores: [0.00038339284947142005]
+Labels: ['Diabetes type 2']
+Scores: [0.0003963985072914511]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723699
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Female', 'Male', 'Middle Aged', 'Obesity', 'Cohort Studies', 'Cardiovascular Diseases', 'China', 'Body Mass Index', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07169617712497711]
+Labels: ['Diabetes']
+Scores: [0.05844123661518097]
+Labels: ['Cancer']
+Scores: [0.034790683537721634]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10455457866191864]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8855271935462952]
+Labels: ['Mental Health']
+Scores: [0.0018065518233925104]
+Labels: ['Diabetes type 1']
+Scores: [0.011902296915650368]
+Labels: ['Diabetes type 2']
+Scores: [0.027626732364296913]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722803
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Testosterone', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Triglycerides', 'Nutrition Surveys', 'Insulin Resistance', 'Cholesterol, HDL', 'Aged', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030310554429888725]
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+Labels: ['Cancer']
+Scores: [0.009377964772284031]
+Labels: ['Chronic respiratory disease']
+Scores: [0.047713179141283035]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9774349927902222]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0028248075395822525]
+Labels: ['Diabetes type 2']
+Scores: [0.005796201527118683]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722158
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Comorbidity', 'Kidney Diseases', 'Masked Hypertension', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024815890938043594]
+Labels: ['Diabetes']
+Scores: [0.006213367450982332]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.01171306986361742]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9979067444801331]
+Labels: ['Mental Health']
+Scores: [0.00034885117202065885]
+Labels: ['Diabetes type 1']
+Scores: [0.019288819283246994]
+Labels: ['Diabetes type 2']
+Scores: [0.03293241932988167]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721760
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Administration, Inhalation', 'Bronchodilator Agents', 'Cardiovascular Diseases', 'England', 'Adrenal Cortex Hormones', 'Middle Aged', 'Heart Failure', 'Acute Coronary Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022565728053450584]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.00133682566229254]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9917827844619751]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0016483529470860958]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721361
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Sleep Apnea, Obstructive', 'Humans', 'Cardiovascular Diseases', 'China', 'Consensus', 'Risk Factors', 'Delphi Technique', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012906442396342754]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.015126107260584831]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9044139385223389]
+Labels: ['Mental Health']
+Scores: [0.0007683925796300173]
+Labels: ['Diabetes type 1']
+Scores: [0.0007584458799101412]
+Labels: ['Diabetes type 2']
+Scores: [0.0009252749150618911]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9855311512947083]
+Labels: ['Mental Health']
+Scores: [0.00032998432288877666]
+Labels: ['Diabetes type 1']
+Scores: [0.0006788693135604262]
+Labels: ['Diabetes type 2']
+Scores: [0.991857647895813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719690
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Neoplasms', 'Cardiovascular Diseases', 'Prognosis', 'Risk Factors', 'Antineoplastic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02419690415263176]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.008930843323469162]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9933358430862427]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.006808031816035509]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719674
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Regenerative Medicine', 'Myocytes, Cardiac', 'Carbon', 'Cell Differentiation', 'Animals', 'Quantum Dots', 'Pluripotent Stem Cells', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03960666060447693]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.8120189309120178]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.007035406306385994]
+Labels: ['Diabetes type 2']
+Scores: [0.007754965219646692]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719571
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Nutrition Surveys', 'Adult', 'United States', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Young Adult', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040381744503974915]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.00816829688847065]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0007487607654184103]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.002269747434183955]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719456
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Neoplasms', 'Male', 'Female', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Middle Aged', 'Risk Factors', 'Aged', 'Nutrition Surveys', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011029220186173916]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.045551106333732605]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0040440685115754604]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9832494258880615]
+Labels: ['Mental Health']
+Scores: [0.0006876488914713264]
+Labels: ['Diabetes type 1']
+Scores: [0.0014667438808828592]
+Labels: ['Diabetes type 2']
+Scores: [0.0015813140198588371]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719431
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asian', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prevalence', 'Adult', 'Aged', 'Sleep', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Cross-Sectional Studies', 'Health Surveys', 'Sleep Duration']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02456127479672432]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.000871025666128844]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14189960062503815]
+Labels: ['Cardiovascular diseases']
+Scores: [0.25093159079551697]
+Labels: ['Mental Health']
+Scores: [0.0004933208110742271]
+Labels: ['Diabetes type 1']
+Scores: [0.0016395997954532504]
+Labels: ['Diabetes type 2']
+Scores: [0.002704604296013713]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719421
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Assessment', 'Risk Factors', 'Potassium', 'Aged, 80 and over', 'Arrhythmias, Cardiac', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017411138862371445]
+Labels: ['Diabetes']
+Scores: [0.00946167390793562]
+Labels: ['Cancer']
+Scores: [0.012047809548676014]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004333766642957926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9931613206863403]
+Labels: ['Mental Health']
+Scores: [0.00036350637674331665]
+Labels: ['Diabetes type 1']
+Scores: [0.009441064670681953]
+Labels: ['Diabetes type 2']
+Scores: [0.017380625009536743]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719405
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Adult', 'Nutrition Surveys', 'Chronic Disease', 'United States', 'Cardiovascular Diseases', 'Aged', 'Health Status', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030840085819363594]
+Labels: ['Diabetes']
+Scores: [0.0005498703103512526]
+Labels: ['Cancer']
+Scores: [0.0008196403505280614]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0136765381321311]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9840565919876099]
+Labels: ['Mental Health']
+Scores: [0.0003882184682879597]
+Labels: ['Diabetes type 1']
+Scores: [0.001738338265568018]
+Labels: ['Diabetes type 2']
+Scores: [0.0020817099139094353]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719315
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Neoplasms', 'Male', 'Nephrectomy', 'Female', 'Middle Aged', 'Propensity Score', 'Aged', 'Retrospective Studies', 'Cardiovascular Diseases', 'Risk Factors', 'Carcinoma, Renal Cell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018629740923643112]
+Labels: ['Diabetes']
+Scores: [0.0006573585560545325]
+Labels: ['Cancer']
+Scores: [0.5533166527748108]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07185496389865875]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9870749711990356]
+Labels: ['Mental Health']
+Scores: [0.0005374373286031187]
+Labels: ['Diabetes type 1']
+Scores: [0.0008963184664025903]
+Labels: ['Diabetes type 2']
+Scores: [0.0008470845059491694]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08454854786396027]
+Labels: ['Diabetes']
+Scores: [0.9963766932487488]
+Labels: ['Cancer']
+Scores: [0.0005690829711966217]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018194850999861956]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00790390558540821]
+Labels: ['Mental Health']
+Scores: [0.0005016063805669546]
+Labels: ['Diabetes type 1']
+Scores: [0.2622462213039398]
+Labels: ['Diabetes type 2']
+Scores: [0.11809463053941727]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04126400500535965]
+Labels: ['Diabetes']
+Scores: [0.9976604580879211]
+Labels: ['Cancer']
+Scores: [0.019944583997130394]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022549389395862818]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9880140423774719]
+Labels: ['Mental Health']
+Scores: [0.000301763677271083]
+Labels: ['Diabetes type 1']
+Scores: [0.0005450451862998307]
+Labels: ['Diabetes type 2']
+Scores: [0.9909506440162659]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718412
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Tea', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'China', 'Aged, 80 and over', 'Longitudinal Studies', 'Proportional Hazards Models', 'Longevity', 'Mortality', 'Middle Aged', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04290017485618591]
+Labels: ['Diabetes']
+Scores: [0.0028782514855265617]
+Labels: ['Cancer']
+Scores: [0.08277981728315353]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004355608485639095]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03622034192085266]
+Labels: ['Mental Health']
+Scores: [0.0017135811503976583]
+Labels: ['Diabetes type 1']
+Scores: [0.0024119599256664515]
+Labels: ['Diabetes type 2']
+Scores: [0.00330708478577435]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022592201828956604]
+Labels: ['Diabetes']
+Scores: [0.09221088886260986]
+Labels: ['Cancer']
+Scores: [0.0011359784984961152]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0030853066127747297]
+Labels: ['Cardiovascular diseases']
+Scores: [0.33597299456596375]
+Labels: ['Mental Health']
+Scores: [0.0004720000724773854]
+Labels: ['Diabetes type 1']
+Scores: [0.001418776111677289]
+Labels: ['Diabetes type 2']
+Scores: [0.41825956106185913]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717783
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Cardiovascular Diseases', 'Heart Disease Risk Factors', 'Periodontitis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39644405245780945]
+Labels: ['Diabetes']
+Scores: [0.005383898504078388]
+Labels: ['Cancer']
+Scores: [0.010342488996684551]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007142253220081329]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9508832097053528]
+Labels: ['Mental Health']
+Scores: [0.0009068172657862306]
+Labels: ['Diabetes type 1']
+Scores: [0.003502520965412259]
+Labels: ['Diabetes type 2']
+Scores: [0.009691325016319752]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717036
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Sweden', 'Middle Aged', 'Female', 'Cardiovascular Diseases', 'Aged', 'Aged, 80 and over', 'Incidence', 'Surveys and Questionnaires', 'Risk Factors', 'Sugar-Sweetened Beverages', 'Diet', 'Dietary Sugars']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02300344780087471]
+Labels: ['Diabetes']
+Scores: [0.14383269846439362]
+Labels: ['Cancer']
+Scores: [0.010190311819314957]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01252809725701809]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9696503281593323]
+Labels: ['Mental Health']
+Scores: [0.002519255504012108]
+Labels: ['Diabetes type 1']
+Scores: [0.008972213603556156]
+Labels: ['Diabetes type 2']
+Scores: [0.010902679525315762]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717032
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Obesity', 'Middle Aged', 'Adult', 'Retrospective Studies', 'Neoplasms', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Phenotype', 'Proportional Hazards Models', 'Risk Factors', 'Cause of Death', 'Aged', 'Age Factors', 'Body Mass Index', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008482338860630989]
+Labels: ['Diabetes']
+Scores: [0.01751747913658619]
+Labels: ['Cancer']
+Scores: [0.03036746196448803]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0029380766209214926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.36166027188301086]
+Labels: ['Mental Health']
+Scores: [0.002671625465154648]
+Labels: ['Diabetes type 1']
+Scores: [0.0058784945867955685]
+Labels: ['Diabetes type 2']
+Scores: [0.008827599696815014]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02312869019806385]
+Labels: ['Diabetes']
+Scores: [0.05632016435265541]
+Labels: ['Cancer']
+Scores: [0.0022023851051926613]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0067903450690209866]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9928326606750488]
+Labels: ['Mental Health']
+Scores: [0.0004921265644952655]
+Labels: ['Diabetes type 1']
+Scores: [0.011685329489409924]
+Labels: ['Diabetes type 2']
+Scores: [0.024455085396766663]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715781
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Prospective Studies', 'Risk Factors', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Fatty Liver', 'Cause of Death', 'Metabolic Diseases', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015209161676466465]
+Labels: ['Diabetes']
+Scores: [0.0013277067337185144]
+Labels: ['Cancer']
+Scores: [0.003245769301429391]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014310914557427168]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9517594575881958]
+Labels: ['Mental Health']
+Scores: [0.0012723735999315977]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00300510018132627]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715477
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Aged', 'Ischemic Attack, Transient', 'Middle Aged', 'Cardiovascular Diseases', 'Netherlands', 'Cohort Studies', 'Risk Factors', 'Aged, 80 and over', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05030875653028488]
+Labels: ['Diabetes']
+Scores: [0.0003778930113185197]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.016567597165703773]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9015183448791504]
+Labels: ['Mental Health']
+Scores: [0.0008421914535574615]
+Labels: ['Diabetes type 1']
+Scores: [0.0005642135511152446]
+Labels: ['Diabetes type 2']
+Scores: [0.0006207805126905441]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016479797661304474]
+Labels: ['Diabetes']
+Scores: [0.042274732142686844]
+Labels: ['Cancer']
+Scores: [0.006889083422720432]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0038694103714078665]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012004860676825047]
+Labels: ['Mental Health']
+Scores: [0.0020881672389805317]
+Labels: ['Diabetes type 1']
+Scores: [0.01737595908343792]
+Labels: ['Diabetes type 2']
+Scores: [0.017778806388378143]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714500
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Potassium', 'Risk Factors', 'Cardiovascular Diseases', 'Electrocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028565332293510437]
+Labels: ['Diabetes']
+Scores: [0.0008910478209145367]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.02119504287838936]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9725154638290405]
+Labels: ['Mental Health']
+Scores: [0.00043720417306758463]
+Labels: ['Diabetes type 1']
+Scores: [0.0026775638107210398]
+Labels: ['Diabetes type 2']
+Scores: [0.004791502840816975]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Patient Care Team', 'Chronic Disease', 'Italy', 'Multimorbidity', 'Telemedicine', 'Cardiology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8271697163581848]
+Labels: ['Diabetes']
+Scores: [0.0004366941284388304]
+Labels: ['Cancer']
+Scores: [0.000533341895788908]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021035822574049234]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9847461581230164]
+Labels: ['Mental Health']
+Scores: [0.00039220176404342055]
+Labels: ['Diabetes type 1']
+Scores: [0.0011160658905282617]
+Labels: ['Diabetes type 2']
+Scores: [0.0015121626202017069]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714021
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Exercise', 'Life Style', 'Metabolic Syndrome', 'Primary Health Care', 'Risk Factors', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03921005502343178]
+Labels: ['Diabetes']
+Scores: [0.03251770883798599]
+Labels: ['Cancer']
+Scores: [0.020038554444909096]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013832672499120235]
+Labels: ['Cardiovascular diseases']
+Scores: [0.962454617023468]
+Labels: ['Mental Health']
+Scores: [0.0009689314174465835]
+Labels: ['Diabetes type 1']
+Scores: [0.03931739926338196]
+Labels: ['Diabetes type 2']
+Scores: [0.0868583396077156]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713140
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neoplasms', 'Lipid Peroxidation', 'Reperfusion Injury', 'Cardiovascular Diseases', 'Inflammatory Bowel Diseases', 'Alzheimer Disease', 'Iron', 'Acute Kidney Injury', 'Stroke', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06872094422578812]
+Labels: ['Diabetes']
+Scores: [0.020557735115289688]
+Labels: ['Cancer']
+Scores: [0.029611971229314804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010248721577227116]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14042772352695465]
+Labels: ['Mental Health']
+Scores: [0.003379069734364748]
+Labels: ['Diabetes type 1']
+Scores: [0.012211314402520657]
+Labels: ['Diabetes type 2']
+Scores: [0.016978705301880836]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39712314
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Incidence', 'Microclimate', 'China', 'Cerebrovascular Disorders', 'Meteorological Concepts', 'Temperature', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03364724665880203]
+Labels: ['Diabetes']
+Scores: [0.001141166198067367]
+Labels: ['Cancer']
+Scores: [0.0026973371859639883]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0405067540705204]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9134463667869568]
+Labels: ['Mental Health']
+Scores: [0.0012750034220516682]
+Labels: ['Diabetes type 1']
+Scores: [0.0024344329722225666]
+Labels: ['Diabetes type 2']
+Scores: [0.002844061003997922]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711839
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'South Africa', 'Tertiary Care Centers', 'Retrospective Studies', 'Adult', 'Male', 'Middle Aged', 'Magnetic Resonance Imaging', 'Young Adult', 'Aged', 'Cardiovascular Diseases', 'Adolescent', 'Hospitals, Public', 'Contrast Media', 'Aged, 80 and over', 'Heart Diseases', 'Child', 'Child, Preschool', 'Medical Audit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04492668807506561]
+Labels: ['Diabetes']
+Scores: [0.0009358730167150497]
+Labels: ['Cancer']
+Scores: [0.024144239723682404]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02237219363451004]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9943710565567017]
+Labels: ['Mental Health']
+Scores: [0.00038994362694211304]
+Labels: ['Diabetes type 1']
+Scores: [0.0032760368194431067]
+Labels: ['Diabetes type 2']
+Scores: [0.0051633454859256744]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710789
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Neovascularization, Pathologic', 'Neoplasms', 'Inflammation', 'Cardiovascular Diseases', 'Animals', 'Neurodegenerative Diseases', 'Angiogenesis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0201615821570158]
+Labels: ['Diabetes']
+Scores: [0.26713991165161133]
+Labels: ['Cancer']
+Scores: [0.3761860132217407]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010095091536641121]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8908329606056213]
+Labels: ['Mental Health']
+Scores: [0.001376068452373147]
+Labels: ['Diabetes type 1']
+Scores: [0.02620607241988182]
+Labels: ['Diabetes type 2']
+Scores: [0.035423643887043]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710702
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neurodegenerative Diseases', 'Cardiovascular Diseases', 'Neoplasms', 'Animals', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07432110607624054]
+Labels: ['Diabetes']
+Scores: [0.006162256933748722]
+Labels: ['Cancer']
+Scores: [0.09310967475175858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004961375147104263]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7826604247093201]
+Labels: ['Mental Health']
+Scores: [0.0006172184948809445]
+Labels: ['Diabetes type 1']
+Scores: [0.005449450574815273]
+Labels: ['Diabetes type 2']
+Scores: [0.00637228786945343]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710576
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Middle Aged', 'Adult', 'Cross-Over Studies', 'Inflammation', 'Endotoxemia', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Diet', 'Polyphenols', 'Edible Grain', 'Feces', 'Bacteria', 'Fatty Acids, Omega-3', 'Dietary Fiber', 'Intestines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008937336504459381]
+Labels: ['Diabetes']
+Scores: [0.002442744094878435]
+Labels: ['Cancer']
+Scores: [0.005147083662450314]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008979917503893375]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09229730069637299]
+Labels: ['Mental Health']
+Scores: [0.0007214691140688956]
+Labels: ['Diabetes type 1']
+Scores: [0.004033676814287901]
+Labels: ['Diabetes type 2']
+Scores: [0.012239765375852585]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710465
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypersensitivity', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.037768635898828506]
+Labels: ['Diabetes']
+Scores: [0.007361885625869036]
+Labels: ['Cancer']
+Scores: [0.00922844186425209]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020817739889025688]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8433112502098083]
+Labels: ['Mental Health']
+Scores: [0.0011196787236258388]
+Labels: ['Diabetes type 1']
+Scores: [0.004736047238111496]
+Labels: ['Diabetes type 2']
+Scores: [0.004489755257964134]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709856
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'China', 'Middle Aged', 'Ambulances', 'Aged', 'Adult', 'Emergency Medical Dispatch', 'Temperature', 'Incidence', 'Adolescent', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06164742633700371]
+Labels: ['Diabetes']
+Scores: [0.002398412674665451]
+Labels: ['Cancer']
+Scores: [0.1376747041940689]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028434472158551216]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8623989224433899]
+Labels: ['Mental Health']
+Scores: [0.00044884340604767203]
+Labels: ['Diabetes type 1']
+Scores: [0.00425273273140192]
+Labels: ['Diabetes type 2']
+Scores: [0.0063306670635938644]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023732658475637436]
+Labels: ['Diabetes']
+Scores: [0.0003223072271794081]
+Labels: ['Cancer']
+Scores: [0.9951463341712952]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00097589788492769]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9357049465179443]
+Labels: ['Mental Health']
+Scores: [0.00029059810913167894]
+Labels: ['Diabetes type 1']
+Scores: [0.0002995022223331034]
+Labels: ['Diabetes type 2']
+Scores: [0.0003144939837511629]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709650
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Energy Metabolism', 'Lipid Metabolism', 'Signal Transduction', 'Stearic Acids', 'Stearoyl-CoA Desaturase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017659245058894157]
+Labels: ['Diabetes']
+Scores: [0.006318713538348675]
+Labels: ['Cancer']
+Scores: [0.013555165380239487]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003161026630550623]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03794814273715019]
+Labels: ['Mental Health']
+Scores: [0.0008653114782646298]
+Labels: ['Diabetes type 1']
+Scores: [0.0036681964993476868]
+Labels: ['Diabetes type 2']
+Scores: [0.005039149429649115]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709627
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Drug Therapy, Combination', 'Hyperlipidemias', 'Hypolipidemic Agents', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cardiovascular Diseases', 'Cholesterol, LDL', 'Animals', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018912162631750107]
+Labels: ['Diabetes']
+Scores: [0.6757158637046814]
+Labels: ['Cancer']
+Scores: [0.000626760593149811]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003482118481770158]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0675177127122879]
+Labels: ['Mental Health']
+Scores: [0.00037915314896963537]
+Labels: ['Diabetes type 1']
+Scores: [0.07899709045886993]
+Labels: ['Diabetes type 2']
+Scores: [0.14858248829841614]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709554
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Feces', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Proteomics', 'Middle Aged', 'Heart Failure', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Proteome', 'Bacteria', 'Risk Factors', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016944240778684616]
+Labels: ['Diabetes']
+Scores: [0.00194200174883008]
+Labels: ['Cancer']
+Scores: [0.004245807882398367]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013467607088387012]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9795342683792114]
+Labels: ['Mental Health']
+Scores: [0.0005366633995436132]
+Labels: ['Diabetes type 1']
+Scores: [0.003188216360285878]
+Labels: ['Diabetes type 2']
+Scores: [0.003985373303294182]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03893009573221207]
+Labels: ['Diabetes']
+Scores: [0.9565309286117554]
+Labels: ['Cancer']
+Scores: [0.017627252265810966]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004680863581597805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9835221767425537]
+Labels: ['Mental Health']
+Scores: [0.0026832292787730694]
+Labels: ['Diabetes type 1']
+Scores: [0.9594075083732605]
+Labels: ['Diabetes type 2']
+Scores: [0.012188775464892387]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018551817163825035]
+Labels: ['Diabetes']
+Scores: [0.9929063320159912]
+Labels: ['Cancer']
+Scores: [0.021924136206507683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001972062513232231]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9975666403770447]
+Labels: ['Mental Health']
+Scores: [0.0004300057771615684]
+Labels: ['Diabetes type 1']
+Scores: [0.0011175874387845397]
+Labels: ['Diabetes type 2']
+Scores: [0.9939095377922058]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709369
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asthma', 'Male', 'Female', 'Adult', 'Middle Aged', 'Nutrition Surveys', 'Inflammation', 'Cause of Death', 'Cardiovascular Diseases', 'Aged', 'United States', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02642262913286686]
+Labels: ['Diabetes']
+Scores: [0.00033896806417033076]
+Labels: ['Cancer']
+Scores: [0.0011275408323854208]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7458887696266174]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002348901005461812]
+Labels: ['Mental Health']
+Scores: [0.0003408979973755777]
+Labels: ['Diabetes type 1']
+Scores: [0.00044057820923626423]
+Labels: ['Diabetes type 2']
+Scores: [0.00045890972251072526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709364
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'Postoperative Complications', 'Cardiovascular Diseases', 'Abdomen', 'Risk Assessment', 'Nomograms', 'Retrospective Studies', 'Aged, 80 and over', 'Risk Factors', 'Predictive Value of Tests', 'ROC Curve', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016511091962456703]
+Labels: ['Diabetes']
+Scores: [0.0008492938941344619]
+Labels: ['Cancer']
+Scores: [0.0301111601293087]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008432143367826939]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9941489100456238]
+Labels: ['Mental Health']
+Scores: [0.00029168740729801357]
+Labels: ['Diabetes type 1']
+Scores: [0.0016045818338170648]
+Labels: ['Diabetes type 2']
+Scores: [0.002043982269242406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Insulin Resistance', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Sex Factors', 'Risk Factors', 'Cause of Death', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03638011962175369]
+Labels: ['Diabetes']
+Scores: [0.7729637622833252]
+Labels: ['Cancer']
+Scores: [0.017005555331707]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004709850996732712]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8609785437583923]
+Labels: ['Mental Health']
+Scores: [0.0003350265615154058]
+Labels: ['Diabetes type 1']
+Scores: [0.04548287391662598]
+Labels: ['Diabetes type 2']
+Scores: [0.0753069669008255]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015455805696547031]
+Labels: ['Diabetes']
+Scores: [0.025056326761841774]
+Labels: ['Cancer']
+Scores: [0.01855114847421646]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019988050684332848]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9535088539123535]
+Labels: ['Mental Health']
+Scores: [0.0007151113823056221]
+Labels: ['Diabetes type 1']
+Scores: [0.010689752176404]
+Labels: ['Diabetes type 2']
+Scores: [0.01782531477510929]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708590
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Sleep Apnea, Obstructive', 'Cardiovascular Diseases', 'Quality of Life', 'Heart Disease Risk Factors', 'Sex Factors', 'Risk Factors', 'Prevalence', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03475357964634895]
+Labels: ['Diabetes']
+Scores: [0.0012960804160684347]
+Labels: ['Cancer']
+Scores: [0.15704302489757538]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13790027797222137]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9841802716255188]
+Labels: ['Mental Health']
+Scores: [0.03166287764906883]
+Labels: ['Diabetes type 1']
+Scores: [0.0027585094794631004]
+Labels: ['Diabetes type 2']
+Scores: [0.0027869264595210552]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708140
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Osteoarthritis', 'Middle Aged', 'Aged', 'Heart Disease Risk Factors', 'Prevalence', 'Hand Joints', 'Comorbidity', 'Cardiovascular Diseases', 'Hand Strength', 'Quality of Life', 'Risk Factors', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02291158400475979]
+Labels: ['Diabetes']
+Scores: [0.0024468267802149057]
+Labels: ['Cancer']
+Scores: [0.002552787773311138]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006452653091400862]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9506120085716248]
+Labels: ['Mental Health']
+Scores: [0.0004012231365777552]
+Labels: ['Diabetes type 1']
+Scores: [0.004546903073787689]
+Labels: ['Diabetes type 2']
+Scores: [0.0068396772257983685]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707266
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Vascular Stiffness', 'Breathing Exercises', 'Randomized Controlled Trials as Topic', 'Pulse Wave Analysis', 'Resistance Training', 'Cardiovascular Diseases', 'Exercise', 'Quality of Life', 'Respiratory Muscles', 'Aged', 'Ankle Brachial Index', 'Male', 'Exercise Therapy', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019315950572490692]
+Labels: ['Diabetes']
+Scores: [0.0004213675856590271]
+Labels: ['Cancer']
+Scores: [0.0024151771795004606]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7750207185745239]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9757363796234131]
+Labels: ['Mental Health']
+Scores: [0.0003156766761094332]
+Labels: ['Diabetes type 1']
+Scores: [0.0005640264134854078]
+Labels: ['Diabetes type 2']
+Scores: [0.0007910773856565356]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026057422161102295]
+Labels: ['Diabetes']
+Scores: [0.000989551655948162]
+Labels: ['Cancer']
+Scores: [0.0857388898730278]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01964503526687622]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007723767776042223]
+Labels: ['Mental Health']
+Scores: [0.9284628033638]
+Labels: ['Diabetes type 1']
+Scores: [0.0012086910428479314]
+Labels: ['Diabetes type 2']
+Scores: [0.0016234390204772353]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013706468977034092]
+Labels: ['Diabetes']
+Scores: [0.0005904732388444245]
+Labels: ['Cancer']
+Scores: [0.05409437045454979]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006345447152853012]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006772894412279129]
+Labels: ['Mental Health']
+Scores: [0.43117624521255493]
+Labels: ['Diabetes type 1']
+Scores: [0.0005184245528653264]
+Labels: ['Diabetes type 2']
+Scores: [0.0005958031979389489]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04607773944735527]
+Labels: ['Diabetes']
+Scores: [0.0012382087297737598]
+Labels: ['Cancer']
+Scores: [0.05072634667158127]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007905733771622181]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002633344382047653]
+Labels: ['Mental Health']
+Scores: [0.5907049775123596]
+Labels: ['Diabetes type 1']
+Scores: [0.002295290119946003]
+Labels: ['Diabetes type 2']
+Scores: [0.0024239944759756327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019816815853118896]
+Labels: ['Diabetes']
+Scores: [0.001758111291565001]
+Labels: ['Cancer']
+Scores: [0.0360141284763813]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00309349549934268]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002147144405171275]
+Labels: ['Mental Health']
+Scores: [0.6757301092147827]
+Labels: ['Diabetes type 1']
+Scores: [0.0031345293391495943]
+Labels: ['Diabetes type 2']
+Scores: [0.003770075738430023]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015165956690907478]
+Labels: ['Diabetes']
+Scores: [0.001492478302679956]
+Labels: ['Cancer']
+Scores: [0.13813206553459167]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003072392428293824]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0040130214765667915]
+Labels: ['Mental Health']
+Scores: [0.7921433448791504]
+Labels: ['Diabetes type 1']
+Scores: [0.0017211749218404293]
+Labels: ['Diabetes type 2']
+Scores: [0.0023118644021451473]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.038502778857946396]
+Labels: ['Diabetes']
+Scores: [0.0007241274579428136]
+Labels: ['Cancer']
+Scores: [0.008455066941678524]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010638547129929066]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0033238462638109922]
+Labels: ['Mental Health']
+Scores: [0.01895991899073124]
+Labels: ['Diabetes type 1']
+Scores: [0.0007366050267592072]
+Labels: ['Diabetes type 2']
+Scores: [0.0007746536866761744]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.035305894911289215]
+Labels: ['Diabetes']
+Scores: [0.0020687661599367857]
+Labels: ['Cancer']
+Scores: [0.08769387751817703]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04960690438747406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005836224649101496]
+Labels: ['Mental Health']
+Scores: [0.3593426048755646]
+Labels: ['Diabetes type 1']
+Scores: [0.0034991425927728415]
+Labels: ['Diabetes type 2']
+Scores: [0.0040859258733689785]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01934068836271763]
+Labels: ['Diabetes']
+Scores: [0.0005656685680150986]
+Labels: ['Cancer']
+Scores: [0.09507942199707031]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0013335058465600014]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010197138180956244]
+Labels: ['Mental Health']
+Scores: [0.8408675193786621]
+Labels: ['Diabetes type 1']
+Scores: [0.000900961400475353]
+Labels: ['Diabetes type 2']
+Scores: [0.001364298746921122]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013457521796226501]
+Labels: ['Diabetes']
+Scores: [0.001998775638639927]
+Labels: ['Cancer']
+Scores: [0.03463524207472801]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002511281054466963]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0026005683466792107]
+Labels: ['Mental Health']
+Scores: [0.780201256275177]
+Labels: ['Diabetes type 1']
+Scores: [0.0009084083721973002]
+Labels: ['Diabetes type 2']
+Scores: [0.0009406087920069695]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008967670612037182]
+Labels: ['Diabetes']
+Scores: [0.0009930077940225601]
+Labels: ['Cancer']
+Scores: [0.040498167276382446]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001126928604207933]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007911166176199913]
+Labels: ['Mental Health']
+Scores: [0.3130456209182739]
+Labels: ['Diabetes type 1']
+Scores: [0.0006966170039959252]
+Labels: ['Diabetes type 2']
+Scores: [0.0008077968377619982]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008392006158828735]
+Labels: ['Diabetes']
+Scores: [0.0005427349824458361]
+Labels: ['Cancer']
+Scores: [0.08091803640127182]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010529718361794949]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002445388585329056]
+Labels: ['Mental Health']
+Scores: [0.04624659940600395]
+Labels: ['Diabetes type 1']
+Scores: [0.0008801311487331986]
+Labels: ['Diabetes type 2']
+Scores: [0.0011420513037592173]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010180966928601265]
+Labels: ['Diabetes']
+Scores: [0.000377711869077757]
+Labels: ['Cancer']
+Scores: [0.06862451136112213]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00056856480659917]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008200214360840619]
+Labels: ['Mental Health']
+Scores: [0.22528372704982758]
+Labels: ['Diabetes type 1']
+Scores: [0.00031025888165459037]
+Labels: ['Diabetes type 2']
+Scores: [0.00033114966936409473]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0262229535728693]
+Labels: ['Diabetes']
+Scores: [0.6775126457214355]
+Labels: ['Cancer']
+Scores: [0.000595534045714885]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010016372427344322]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006728184409439564]
+Labels: ['Mental Health']
+Scores: [0.001119074528105557]
+Labels: ['Diabetes type 1']
+Scores: [0.9193093180656433]
+Labels: ['Diabetes type 2']
+Scores: [0.0018881959840655327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026130126789212227]
+Labels: ['Diabetes']
+Scores: [0.005225690081715584]
+Labels: ['Cancer']
+Scores: [0.05168928578495979]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005935776978731155]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0033230450935661793]
+Labels: ['Mental Health']
+Scores: [0.1275465339422226]
+Labels: ['Diabetes type 1']
+Scores: [0.0029820736963301897]
+Labels: ['Diabetes type 2']
+Scores: [0.004901542328298092]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0423487089574337]
+Labels: ['Diabetes']
+Scores: [0.0007768653449602425]
+Labels: ['Cancer']
+Scores: [0.05540198087692261]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0031836125999689102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015521153109148145]
+Labels: ['Mental Health']
+Scores: [0.9238734245300293]
+Labels: ['Diabetes type 1']
+Scores: [0.0013005405198782682]
+Labels: ['Diabetes type 2']
+Scores: [0.0017438059439882636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010677321814000607]
+Labels: ['Diabetes']
+Scores: [0.0005309184198267758]
+Labels: ['Cancer']
+Scores: [0.3282983601093292]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012089192168787122]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001310748397372663]
+Labels: ['Mental Health']
+Scores: [0.7818673849105835]
+Labels: ['Diabetes type 1']
+Scores: [0.0009251597803086042]
+Labels: ['Diabetes type 2']
+Scores: [0.0013077863259240985]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011196166276931763]
+Labels: ['Diabetes']
+Scores: [0.0020119058899581432]
+Labels: ['Cancer']
+Scores: [0.2538208067417145]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019594193436205387]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018153181299567223]
+Labels: ['Mental Health']
+Scores: [0.1957358419895172]
+Labels: ['Diabetes type 1']
+Scores: [0.002484577940776944]
+Labels: ['Diabetes type 2']
+Scores: [0.003461176063865423]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011758459731936455]
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+Labels: ['Cancer']
+Scores: [0.16264353692531586]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004524698946624994]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9341709613800049]
+Labels: ['Diabetes type 1']
+Scores: [0.005923375952988863]
+Labels: ['Diabetes type 2']
+Scores: [0.004740885924547911]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01854471117258072]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0015057679265737534]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.37963151931762695]
+Labels: ['Diabetes type 1']
+Scores: [0.00041160653927363455]
+Labels: ['Diabetes type 2']
+Scores: [0.0005084042204543948]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017522159963846207]
+Labels: ['Diabetes']
+Scores: [0.0005106779281049967]
+Labels: ['Cancer']
+Scores: [0.010516826063394547]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015533132245764136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00185119837988168]
+Labels: ['Mental Health']
+Scores: [0.03751653805375099]
+Labels: ['Diabetes type 1']
+Scores: [0.00048702972708269954]
+Labels: ['Diabetes type 2']
+Scores: [0.0005854154587723315]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015706125646829605]
+Labels: ['Diabetes']
+Scores: [0.0004431554116308689]
+Labels: ['Cancer']
+Scores: [0.36276382207870483]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010410647373646498]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006437258562073112]
+Labels: ['Mental Health']
+Scores: [0.030396990478038788]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0006200703210197389]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09693121165037155]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.012385605834424496]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0056270575150847435]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002639488782733679]
+Labels: ['Mental Health']
+Scores: [0.026231490075588226]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0003905149642378092]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Mental Health', 'Biomedical Research', 'Delphi Technique', 'Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015392088331282139]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0006059021688997746]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005201412132009864]
+Labels: ['Mental Health']
+Scores: [0.962680995464325]
+Labels: ['Diabetes type 1']
+Scores: [0.0004592494515236467]
+Labels: ['Diabetes type 2']
+Scores: [0.0005881402175873518]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726658
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Exercise', 'Self Report', 'Adolescent', 'Students', 'China', 'Child', 'Schools', 'Mental Health', 'Surveys and Questionnaires', 'Health Surveys', 'Sedentary Behavior', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011324570514261723]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0008972351206466556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726069
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Substance-Related Disorders', 'Middle Aged', 'Heart Transplantation', 'Heart-Assist Devices', 'Adult', 'Databases, Factual', 'Incidence', 'Mental Health', 'Quality of Life', 'Aged', 'Mental Disorders', 'Waiting Lists', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030288325622677803]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725888
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Pregnancy', 'Adult', 'Cross-Sectional Studies', 'Pregnancy, Unplanned', 'Parents', 'Mental Health', 'Reproductive Techniques, Assisted', 'Young Adult', 'Stress, Psychological', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021654805168509483]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.0011904931161552668]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.835152268409729]
+Labels: ['Diabetes type 1']
+Scores: [0.0005929749459028244]
+Labels: ['Diabetes type 2']
+Scores: [0.0008073812932707369]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725758
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'Pandemics', 'SARS-CoV-2', 'Japan', 'Male', 'Suicide', 'Female', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01815877854824066]
+Labels: ['Diabetes']
+Scores: [0.0007640261319465935]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.004729712847620249]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0023269120138138533]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724226
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Germany', 'Cross-Sectional Studies', 'Mental Health', 'Adult', 'Surveys and Questionnaires', 'Young Adult', 'Stress, Psychological', 'Students', 'Occupational Stress', 'Universities']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0027722015511244535]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0007023001089692116]
+Labels: ['Diabetes type 2']
+Scores: [0.0009532684925943613]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724125
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Stress Disorders, Post-Traumatic', 'Survivors', 'Middle Aged', 'Adult', 'Anxiety', 'Risk Factors', 'Depression', 'Prevalence', 'Aged', 'Comorbidity', 'Sex Factors', 'Sleep Initiation and Maintenance Disorders', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0026705951895564795]
+Labels: ['Diabetes']
+Scores: [0.0005332863074727356]
+Labels: ['Cancer']
+Scores: [0.0030325991101562977]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0037460315506905317]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000521390582434833]
+Labels: ['Mental Health']
+Scores: [0.9244170784950256]
+Labels: ['Diabetes type 1']
+Scores: [0.0006534542189911008]
+Labels: ['Diabetes type 2']
+Scores: [0.0006739418022334576]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724115
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Empathy', 'Global Health', 'Mental Health', 'Existentialism', 'Warfare']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012207389809191227]
+Labels: ['Diabetes']
+Scores: [0.0010705443564802408]
+Labels: ['Cancer']
+Scores: [0.29562512040138245]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0025185486301779747]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010688563343137503]
+Labels: ['Mental Health']
+Scores: [0.9161044955253601]
+Labels: ['Diabetes type 1']
+Scores: [0.0012756525538861752]
+Labels: ['Diabetes type 2']
+Scores: [0.0016983828973025084]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724057
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Female', 'Humans', 'Male', 'Young Adult', 'COVID-19', 'Depression', 'East Asian People', 'Mental Health', 'Pandemics', 'Republic of Korea', 'Social Media']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011758236214518547]
+Labels: ['Diabetes']
+Scores: [0.0005736930761486292]
+Labels: ['Cancer']
+Scores: [0.0026943066623061895]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00519943330436945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014022233663126826]
+Labels: ['Mental Health']
+Scores: [0.9183842539787292]
+Labels: ['Diabetes type 1']
+Scores: [0.0009496209095232189]
+Labels: ['Diabetes type 2']
+Scores: [0.001140082604251802]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722713
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Child, Preschool', 'Cross-Sectional Studies', 'China', 'Screen Time', 'Surveys and Questionnaires', 'Mental Health', 'Parents', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013706479221582413]
+Labels: ['Diabetes']
+Scores: [0.0005258704186417162]
+Labels: ['Cancer']
+Scores: [0.026164544746279716]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004706218314822763]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.22248190641403198]
+Labels: ['Diabetes type 1']
+Scores: [0.00047147541772574186]
+Labels: ['Diabetes type 2']
+Scores: [0.0006302002002485096]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722022
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Loneliness', 'Adolescent', 'Male', 'Female', 'Cross-Sectional Studies', 'Urban Population', 'Young Adult', 'Adult', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00983548816293478]
+Labels: ['Diabetes']
+Scores: [0.0011689368402585387]
+Labels: ['Cancer']
+Scores: [0.23248672485351562]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010749531211331487]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9844580888748169]
+Labels: ['Diabetes type 1']
+Scores: [0.00131947488989681]
+Labels: ['Diabetes type 2']
+Scores: [0.001408234005793929]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720811
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Mental Health', 'China', 'Middle Aged', 'Adult', 'Emotions', 'Surveys and Questionnaires', 'Aged', 'Adolescent', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006904275622218847]
+Labels: ['Diabetes']
+Scores: [0.0008888693409971893]
+Labels: ['Cancer']
+Scores: [0.09944469481706619]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016682626446709037]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.00126778578851372]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719817
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Hospitals, General', 'Psychiatry', 'Mental Health Services', 'Japan', 'Psychiatric Department, Hospital', 'Referral and Consultation', 'Mental Disorders', 'Surveys and Questionnaires', 'Mental Health', 'Psychiatrists']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0006331357290036976]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00045747842523269355]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719755
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Humans', 'Ozone', 'Mental Health', 'Nitrogen Dioxide', 'Male', 'Female', 'Child', 'China', 'Air Pollutants', 'Environmental Exposure', 'Schools', 'Cross-Sectional Studies', 'Air Pollution', 'Students']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000877754355315119]
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+Scores: [0.00032035887124948204]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0005152945523150265]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007038251496851444]
+Labels: ['Mental Health']
+Scores: [0.0002933004288934171]
+Labels: ['Diabetes type 1']
+Scores: [0.000457876332802698]
+Labels: ['Diabetes type 2']
+Scores: [0.00044888764386996627]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719653
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Capital', 'Students', 'Social Media', 'Japan', 'Universities', 'Male', 'Female', 'Young Adult', 'Mental Health', 'Adult', 'Loneliness', 'Health Status', 'Personality', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004331276286393404]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.5243483781814575]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00048229729873128235]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716066
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Quality of Life', 'Pakistan', 'Myocardial Infarction', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Health Status', 'Risk Factors', 'Mental Health', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0178515687584877]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.03150460869073868]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0005063822609372437]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.001410007243975997]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715637
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Biomedical Research', 'Circadian Rhythm', 'Information Dissemination', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01590845361351967]
+Labels: ['Diabetes']
+Scores: [0.0037150930147618055]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.6966832876205444]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.011884301900863647]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715235
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Colombia', 'Emigrants and Immigrants', 'Venezuela', 'Female', 'Male', 'United States', 'Child', 'Adult', 'Child Welfare', 'Parents', 'Stress, Psychological', 'Surveys and Questionnaires', 'Adolescent', 'Middle Aged', 'Mental Health', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004962753504514694]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0008140718564391136]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Ukraine', 'Mental Health Services', 'Health Services Accessibility', 'Pandemics', 'Quality of Health Care', 'SARS-CoV-2', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02978075109422207]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.01797652058303356]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.953937292098999]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0020538640674203634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714844
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Aged', 'England', 'Middle Aged', 'Longitudinal Studies', 'Personal Satisfaction', 'Cohort Studies', 'Depression', 'Mental Health', 'Health Status', 'Social Support', 'Health Behavior', 'Cluster Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007395465392619371]
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+Labels: ['Cancer']
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+Scores: [0.001966424286365509]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.000977561343461275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713741
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Substance-Related Disorders', 'Social Stigma', 'Sexism', 'Mental Health', 'Racism', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011908816173672676]
+Labels: ['Diabetes']
+Scores: [0.0006207720143720508]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.000782987626735121]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'China', 'Mental Health', 'Internet Use', 'Middle Aged', 'Residence Characteristics', 'Aged, 80 and over', 'Independent Living', 'Surveys and Questionnaires', 'Internet', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016587285324931145]
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0018124592024832964]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712299
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Mental Health', 'Aged', 'Social Environment', 'Female', 'Male', 'Middle Aged', 'Residence Characteristics', 'Surveys and Questionnaires', 'Neighborhood Characteristics', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.002472658408805728]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711409
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Pilots', 'Aerospace Medicine', 'Mental Health', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014877595007419586]
+Labels: ['Diabetes']
+Scores: [0.0010876875603571534]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0015938248252496123]
+Labels: ['Diabetes type 2']
+Scores: [0.003111880039796233]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711341
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aerospace Medicine', 'Mental Health', 'Delphi Technique', 'Aviation', 'Research', 'Societies, Medical', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02374321222305298]
+Labels: ['Diabetes']
+Scores: [0.0008935421356000006]
+Labels: ['Cancer']
+Scores: [0.03216007351875305]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01439974457025528]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0024613458663225174]
+Labels: ['Mental Health']
+Scores: [0.7392770648002625]
+Labels: ['Diabetes type 1']
+Scores: [0.0015834637451916933]
+Labels: ['Diabetes type 2']
+Scores: [0.002679192926734686]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711028
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Refugees', 'Syria', 'Psychological Distress', 'Female', 'Jordan', 'Male', 'Follow-Up Studies', 'Child', 'Single-Blind Method', 'Stress Disorders, Post-Traumatic', 'Depression', 'Stress, Psychological', 'Behavior Therapy', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009521422907710075]
+Labels: ['Diabetes']
+Scores: [0.00044523601536639035]
+Labels: ['Cancer']
+Scores: [0.08795894682407379]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010753918904811144]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007017574971541762]
+Labels: ['Mental Health']
+Scores: [0.37419548630714417]
+Labels: ['Diabetes type 1']
+Scores: [0.0003871730878017843]
+Labels: ['Diabetes type 2']
+Scores: [0.0004637346719391644]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710807
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Cross-Sectional Studies', 'Female', 'Adult', 'Male', 'Workplace Violence', 'Burnout, Professional', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Nursing Staff, Hospital', 'Taiwan']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009945339523255825]
+Labels: ['Diabetes']
+Scores: [0.008284112438559532]
+Labels: ['Cancer']
+Scores: [0.21986201405525208]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009153463877737522]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.8830417990684509]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.01563231647014618]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Quality of Life', 'Romania', 'Male', 'Female', 'Prospective Studies', 'Tuberculosis, Multidrug-Resistant', 'Middle Aged', 'Adult', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Surveys and Questionnaires', 'Aged', 'Cohort Studies', 'Longitudinal Studies', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.9508609175682068]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00495251826941967]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.043321993201971054]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710684
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Ontario', 'Pregnancy', 'Retrospective Studies', 'Adult', 'Social Class', 'Pregnancy Complications', 'Anxiety', 'Depression', 'Young Adult', 'Residence Characteristics', 'Mental Health', 'Cohort Studies', 'Educational Status', 'Mental Disorders', 'Income']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0023353362921625376]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0005877610528841615]
+Labels: ['Diabetes type 2']
+Scores: [0.000708100269548595]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710634
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'United Kingdom', 'Adult', 'Cross-Sectional Studies', 'Mental Health', 'Domestic Violence', 'Middle Aged', 'Social Support', 'Resilience, Psychological', 'Pandemics', 'Young Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.0005022911354899406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710627
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Literacy', 'Adolescent', 'Anxiety', 'Depression', 'Mental Health', 'Health Education']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016754601150751114]
+Labels: ['Diabetes']
+Scores: [0.001269324216991663]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710497
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'China', 'Aged', 'Risk Factors', 'Middle Aged', 'Depression', 'Longitudinal Studies', 'Health Status', 'Mental Health', 'Aged, 80 and over', 'Rural Population', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710338
+Predictions: ['Cancer', 'Mental Health']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Adolescent', 'Young Adult', 'Female', 'Male', 'Internet-Based Intervention', 'Mindfulness', 'Adult', 'Emotional Regulation', 'Quality of Life', 'Mental Health', 'Depression', 'Neoplasms', 'Research Design', 'Adaptation, Psychological', 'Digital Health']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709458
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Child', 'Humans', 'Adaptation, Psychological', 'Child Behavior', 'Mental Disorders', 'Mental Health', 'Multicenter Studies as Topic', 'Norway', 'Parents', 'Pragmatic Clinical Trials as Topic']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709340
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Mental Health', 'Research Design', 'Outcome Assessment, Health Care', 'Mental Disorders', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709337
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sufentanil', 'Male', 'Cough', 'Female', 'Ketamine', 'Middle Aged', 'Prospective Studies', 'Adult', 'Anesthesia, General', 'Anesthetics, Intravenous', 'Mental Health', 'Double-Blind Method']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709183
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Health Promotion']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709182
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'United States', "Women's Health", 'Racial Groups', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708948
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Asthma', 'Metals, Heavy', 'Male', 'Adult', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Republic of Korea', 'Mental Health', 'Suicidal Ideation', 'Environmental Exposure', 'Air Pollutants', 'Young Adult', 'Depression', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707472
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'General Practitioners', 'Self Care', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Burnout, Professional', 'Surveys and Questionnaires', 'Mental Health', 'Anxiety', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706574
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Pregnancy', 'Perinatal Care', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010523553937673569]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706486
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Binge Drinking', 'Male', 'Middle Aged', 'Spain', 'Longitudinal Studies', 'Health Behavior', 'Mental Health', 'Health Status', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027730803936719894]
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.0027548966463655233]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706485
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Support', 'Male', 'Female', 'Longitudinal Studies', 'Adult', 'Stress, Psychological', 'Middle Aged', 'Depressive Disorder, Major', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Young Adult', 'Aged', 'Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02747812680900097]
+Labels: ['Diabetes']
+Scores: [0.006240428891032934]
+Labels: ['Cancer']
+Scores: [0.2522202432155609]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017735573928803205]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008834797190502286]
+Labels: ['Mental Health']
+Scores: [0.6541257500648499]
+Labels: ['Diabetes type 1']
+Scores: [0.0013436820590868592]
+Labels: ['Diabetes type 2']
+Scores: [0.0017896791687235236]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706484
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Ukraine', 'Armed Conflicts', 'Refugees']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023545896634459496]
+Labels: ['Diabetes']
+Scores: [0.0002984573075082153]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.00035478785866871476]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9452829360961914]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0003100705798715353]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39705174
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Humans', 'Male', 'Young Adult', 'Adaptation, Psychological', 'Black or African American', 'HIV Infections', 'Interviews as Topic', 'Mental Health', 'Qualitative Research', 'Sexual and Gender Minorities', 'Social Stigma']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010422954335808754]
+Labels: ['Diabetes']
+Scores: [0.00047110093873925507]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0031427727080881596]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0009893414098769426]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39704003
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Diagnostic and Statistical Manual of Mental Disorders', 'International Classification of Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02735675498843193]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703482
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Adolescent', 'Mental Health', 'Reproductive Health', 'Sexual Behavior', 'Sexual Health', 'Menstruation', 'Health Knowledge, Attitudes, Practice']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02886033058166504]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703180
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Qualitative Research', 'Male', 'Female', 'Pharmacists', 'Adult', 'England', 'Middle Aged', 'Focus Groups', 'Mental Health', 'Community Pharmacy Services', 'Depression', 'Interviews as Topic', 'Professional Role', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Lebanon', 'Primary Health Care', 'Social Stigma', 'Qualitative Research', 'Mental Disorders', 'Male', 'Female', 'Attitude of Health Personnel', 'Health Personnel', 'Adult', 'Interviews as Topic', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39701588
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'COVID-19', 'Mental Health', 'Female', 'Male', 'Mental Health Services', 'United States', 'Child', 'Emotions', 'Telemedicine', 'Social Skills', 'School Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002918577054515481]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Machine Learning', 'Mental Health', 'Adult', 'Female']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700155
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Mental Health', 'United Kingdom', 'Adolescent', 'Young Adult', 'Loneliness', 'Adult', 'Sex Factors', 'Pandemics', 'SARS-CoV-2', 'Longitudinal Studies', 'Aged', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699982
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Italy', 'Prospective Studies', 'COVID-19', 'Internship and Residency', 'Male', 'Female', 'Adult', 'Depression', 'Anxiety', 'Mental Health', 'Stress Disorders, Post-Traumatic', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699544
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Chikungunya Fever', 'Arthralgia', 'Middle Aged', 'Adult', 'Chronic Disease', 'Mental Health', 'Cross-Sectional Studies', 'Depression', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699441
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Brazil', 'Transgender Persons', 'Health Services Accessibility', 'Male', 'Female', 'Primary Health Care', 'National Health Programs', 'Interviews as Topic', 'Health Personnel', 'Health Services for Transgender Persons', 'Qualitative Research', 'Adult', 'Health Policy', 'Mental Health', 'Transsexualism', 'Young Adult', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699366
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Mental Health', 'Health Promotion', 'Occupational Health', 'Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697298
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Female', 'Humans', 'Male', 'China', 'COVID-19', 'East Asian People', 'Mental Disorders', 'Mental Health', 'Risk Factors', 'Students', 'Suicidal Ideation', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.0006999900797381997]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697006
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Services Accessibility', 'Health Literacy', 'Mexico', 'Female', 'Male', 'Adolescent', 'Child', 'Adult', 'Surveys and Questionnaires', 'Parents', 'Mental Health', 'Middle Aged', 'Health Behavior']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696336
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Intimate Partner Violence', 'Female', 'Sex Offenses', 'Canada', 'Male', 'Transgender Persons', 'Surveys and Questionnaires', 'Crime Victims', 'Research', 'Stakeholder Participation', 'Mental Health', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.018291251733899117]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0009106228826567531]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696264
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Ownership', 'Housing', 'Behavioral Risk Factor Surveillance System', 'Aged', 'United States', 'Mental Health', 'Prevalence', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020995264872908592]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9258615970611572]
+Labels: ['Diabetes type 1']
+Scores: [0.0009865887695923448]
+Labels: ['Diabetes type 2']
+Scores: [0.0012332630576565862]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696245
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sudan', 'Cross-Sectional Studies', 'Child', 'Female', 'Adolescent', 'Male', 'Refugees', 'Mental Health', 'Surveys and Questionnaires', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024368759244680405]
+Labels: ['Diabetes']
+Scores: [0.000645174237433821]
+Labels: ['Cancer']
+Scores: [0.055433422327041626]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017969128675758839]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0008894485654309392]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696093
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Students', 'Universities', 'United Kingdom', 'Young Adult', 'Exercise', 'Cohort Studies', 'Life Style', 'Ethnicity', 'COVID-19', 'Health Behavior', 'Sex Factors', 'Adult', 'Adolescent', 'Body Mass Index', 'Diet', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03706221655011177]
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+Labels: ['Cancer']
+Scores: [0.30464282631874084]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017991403117775917]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.006402213592082262]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695709
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Patient Selection', 'Mental Disorders', 'Mental Health', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018606210127472878]
+Labels: ['Diabetes']
+Scores: [0.001553881331346929]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.002758293878287077]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9748793840408325]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0017894812626764178]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695633
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Adverse Childhood Experiences', 'Female', 'England', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Criminal Law', 'Health Status', 'Surveys and Questionnaires', 'Aged', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09548015892505646]
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+Scores: [0.001290098181925714]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.004723981488496065]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.0010886725503951311]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Video Games', 'Universities', 'Mental Health', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008352918550372124]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695547
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Military Personnel', 'Female', 'Male', 'Cross-Sectional Studies', 'China', 'Adult', 'Stress Disorders, Post-Traumatic', 'COVID-19', 'Sleep Initiation and Maintenance Disorders', 'Prevalence', 'Young Adult', 'Depression', 'Anxiety', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Adolescent', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Scores: [0.002375143114477396]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695533
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Belgium', 'Male', 'Female', 'Multimorbidity', 'Middle Aged', 'Adult', 'Aged', 'Health Surveys', 'Mental Disorders', 'Quality of Life', 'Young Adult', 'Mental Health', 'Adolescent', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.8738704323768616]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695518
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Military Personnel', 'Male', 'Social Support', 'Adult', 'Personal Satisfaction', 'Female', 'Mental Health', 'Depression', 'Longitudinal Studies', 'Young Adult', 'Surveys and Questionnaires', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9911858439445496]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695274
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Female', 'Male', 'Young Adult', 'Depression', 'Universities', 'China', 'Surveys and Questionnaires', 'Mental Health', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013741785660386086]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693620
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mobile Applications', 'Adult', 'Mental Health', 'Health Behavior', 'Life Style', 'Exercise', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021633891388773918]
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693599
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Adult', 'Middle Aged', 'Mental Health', 'Mental Disorders', 'Aged', 'Schizophrenia', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006945068947970867]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691047
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Burnout, Professional', 'Mental Health', 'Organizational Culture', 'Leadership', 'Health Personnel', 'Job Satisfaction', 'Ontario']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691046
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Canada', 'Mental Health', 'Occupational Health', 'Workplace', 'Health Personnel', 'Organizational Culture', 'Surveys and Questionnaires', 'Patient Safety', 'Safety Management']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691045
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Health Personnel', 'Mental Health', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025064455345273018]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690437
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'South Australia', 'Housing', 'Male', 'Female', 'Adult', 'Middle Aged', 'Food Security', 'Health Status', 'Mental Health', 'Health Surveys', 'Socioeconomic Factors', 'Adolescent', 'Food Insecurity', 'Aged', 'Chronic Disease', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0018985529895871878]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690123
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Adolescent Development', 'Young Adult', 'Adult', 'Child', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013137726113200188]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.732450544834137]
+Labels: ['Diabetes type 1']
+Scores: [0.0011789820855483413]
+Labels: ['Diabetes type 2']
+Scores: [0.0014622866874560714]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mexico', 'Adolescent', 'Male', 'Female', 'Racism', 'Mental Disorders', 'Qualitative Research', 'Mental Health', 'Mental Health Services', 'Young Adult', 'Interviews as Topic', 'Health Services Accessibility', 'Urban Population', 'Urban Health', 'Indigenous Peoples', 'Patient Acceptance of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021267462521791458]
+Labels: ['Diabetes']
+Scores: [0.0003911137755494565]
+Labels: ['Cancer']
+Scores: [0.08460890501737595]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008489276515319943]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005996293039061129]
+Labels: ['Mental Health']
+Scores: [0.8579733967781067]
+Labels: ['Diabetes type 1']
+Scores: [0.0005185101763345301]
+Labels: ['Diabetes type 2']
+Scores: [0.0007119657238945365]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05982905626296997]
+Labels: ['Diabetes']
+Scores: [0.8284870386123657]
+Labels: ['Cancer']
+Scores: [0.005565558560192585]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6316654682159424]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4271937906742096]
+Labels: ['Mental Health']
+Scores: [0.0014096477534621954]
+Labels: ['Diabetes type 1']
+Scores: [0.7863723635673523]
+Labels: ['Diabetes type 2']
+Scores: [0.0018700150540098548]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023816540837287903]
+Labels: ['Diabetes']
+Scores: [0.9186689853668213]
+Labels: ['Cancer']
+Scores: [0.025680329650640488]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004517705179750919]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005167440511286259]
+Labels: ['Mental Health']
+Scores: [0.0004208633617963642]
+Labels: ['Diabetes type 1']
+Scores: [0.9070683717727661]
+Labels: ['Diabetes type 2']
+Scores: [0.004252371843904257]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04136165231466293]
+Labels: ['Diabetes']
+Scores: [0.8921548128128052]
+Labels: ['Cancer']
+Scores: [0.002934127114713192]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004184919409453869]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017136645037680864]
+Labels: ['Mental Health']
+Scores: [0.0010925590759143233]
+Labels: ['Diabetes type 1']
+Scores: [0.9098787307739258]
+Labels: ['Diabetes type 2']
+Scores: [0.0004716386320069432]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021727779880166054]
+Labels: ['Diabetes']
+Scores: [0.7343320250511169]
+Labels: ['Cancer']
+Scores: [0.0036004940047860146]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016891198232769966]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6249349117279053]
+Labels: ['Mental Health']
+Scores: [0.0006708736182190478]
+Labels: ['Diabetes type 1']
+Scores: [0.07463524490594864]
+Labels: ['Diabetes type 2']
+Scores: [0.34307223558425903]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04247797653079033]
+Labels: ['Diabetes']
+Scores: [0.9957567453384399]
+Labels: ['Cancer']
+Scores: [0.0015870960196480155]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004548356868326664]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010969504714012146]
+Labels: ['Mental Health']
+Scores: [0.001669104676693678]
+Labels: ['Diabetes type 1']
+Scores: [0.9893061518669128]
+Labels: ['Diabetes type 2']
+Scores: [0.01724761538207531]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733989
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Hypoglycemia', 'Male', 'Adult', 'Female', 'Blood Glucose', 'Hyperglycemia', 'Exercise', 'Child', 'Young Adult', 'Cohort Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Time Factors', 'Insulin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021184906363487244]
+Labels: ['Diabetes']
+Scores: [0.9899199604988098]
+Labels: ['Cancer']
+Scores: [0.000378961703972891]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0395304374396801]
+Labels: ['Cardiovascular diseases']
+Scores: [0.24857155978679657]
+Labels: ['Mental Health']
+Scores: [0.00032783689675852656]
+Labels: ['Diabetes type 1']
+Scores: [0.9067518711090088]
+Labels: ['Diabetes type 2']
+Scores: [0.002953547053039074]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04430903121829033]
+Labels: ['Diabetes']
+Scores: [0.93956458568573]
+Labels: ['Cancer']
+Scores: [0.004730036947876215]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01226711180061102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.042235326021909714]
+Labels: ['Mental Health']
+Scores: [0.0009779746178537607]
+Labels: ['Diabetes type 1']
+Scores: [0.38484567403793335]
+Labels: ['Diabetes type 2']
+Scores: [0.3926575779914856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012225814163684845]
+Labels: ['Diabetes']
+Scores: [0.8917685151100159]
+Labels: ['Cancer']
+Scores: [0.0005523287109099329]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012988779926672578]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028832975775003433]
+Labels: ['Mental Health']
+Scores: [0.0005005096318200231]
+Labels: ['Diabetes type 1']
+Scores: [0.042634956538677216]
+Labels: ['Diabetes type 2']
+Scores: [0.009300305508077145]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0262229535728693]
+Labels: ['Diabetes']
+Scores: [0.6775126457214355]
+Labels: ['Cancer']
+Scores: [0.000595534045714885]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010016372427344322]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006728184409439564]
+Labels: ['Mental Health']
+Scores: [0.001119074528105557]
+Labels: ['Diabetes type 1']
+Scores: [0.9193093180656433]
+Labels: ['Diabetes type 2']
+Scores: [0.0018881959840655327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014209510758519173]
+Labels: ['Diabetes']
+Scores: [0.8143572211265564]
+Labels: ['Cancer']
+Scores: [0.06473982334136963]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016497469041496515]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0036376158241182566]
+Labels: ['Mental Health']
+Scores: [0.4486357867717743]
+Labels: ['Diabetes type 1']
+Scores: [0.9403407573699951]
+Labels: ['Diabetes type 2']
+Scores: [0.0019051851704716682]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029528211802244186]
+Labels: ['Diabetes']
+Scores: [0.9269223213195801]
+Labels: ['Cancer']
+Scores: [0.001966801006346941]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021314281970262527]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007587787229567766]
+Labels: ['Mental Health']
+Scores: [0.0009015948744490743]
+Labels: ['Diabetes type 1']
+Scores: [0.8931986093521118]
+Labels: ['Diabetes type 2']
+Scores: [0.0018921310547739267]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05501031130552292]
+Labels: ['Diabetes']
+Scores: [0.8878734111785889]
+Labels: ['Cancer']
+Scores: [0.002131832530722022]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0925755724310875]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015388422179967165]
+Labels: ['Mental Health']
+Scores: [0.0003574651200324297]
+Labels: ['Diabetes type 1']
+Scores: [0.8263605833053589]
+Labels: ['Diabetes type 2']
+Scores: [0.0008705409127287567]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03009066730737686]
+Labels: ['Diabetes']
+Scores: [0.9597639441490173]
+Labels: ['Cancer']
+Scores: [0.0011514059733599424]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01972852647304535]
+Labels: ['Cardiovascular diseases']
+Scores: [0.79942387342453]
+Labels: ['Mental Health']
+Scores: [0.0005907248123548925]
+Labels: ['Diabetes type 1']
+Scores: [0.9108208417892456]
+Labels: ['Diabetes type 2']
+Scores: [0.007688167504966259]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04480257257819176]
+Labels: ['Diabetes']
+Scores: [0.9748334288597107]
+Labels: ['Cancer']
+Scores: [0.001357715460471809]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02301952987909317]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9591560959815979]
+Labels: ['Mental Health']
+Scores: [0.0003354771470185369]
+Labels: ['Diabetes type 1']
+Scores: [0.9721375703811646]
+Labels: ['Diabetes type 2']
+Scores: [0.000598517304752022]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.058673787862062454]
+Labels: ['Diabetes']
+Scores: [0.7660514116287231]
+Labels: ['Cancer']
+Scores: [0.0018824158469215035]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0041340715251863]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08213721960783005]
+Labels: ['Mental Health']
+Scores: [0.00033995223930105567]
+Labels: ['Diabetes type 1']
+Scores: [0.0863695815205574]
+Labels: ['Diabetes type 2']
+Scores: [0.20232656598091125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01587461121380329]
+Labels: ['Diabetes']
+Scores: [0.6417009830474854]
+Labels: ['Cancer']
+Scores: [0.0028744537848979235]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02395249903202057]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004403527360409498]
+Labels: ['Mental Health']
+Scores: [0.0019669889006763697]
+Labels: ['Diabetes type 1']
+Scores: [0.6818588376045227]
+Labels: ['Diabetes type 2']
+Scores: [0.010347776114940643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010011614300310612]
+Labels: ['Diabetes']
+Scores: [0.9900608062744141]
+Labels: ['Cancer']
+Scores: [0.0010330837685614824]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005948165897279978]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005037125665694475]
+Labels: ['Mental Health']
+Scores: [0.0007087757112458348]
+Labels: ['Diabetes type 1']
+Scores: [0.9899354577064514]
+Labels: ['Diabetes type 2']
+Scores: [0.001030829967930913]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030433697625994682]
+Labels: ['Diabetes']
+Scores: [0.9587224125862122]
+Labels: ['Cancer']
+Scores: [0.0006781576666980982]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003355649532750249]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014373491518199444]
+Labels: ['Mental Health']
+Scores: [0.0005276590818539262]
+Labels: ['Diabetes type 1']
+Scores: [0.0773167610168457]
+Labels: ['Diabetes type 2']
+Scores: [0.1270284503698349]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029964080080389977]
+Labels: ['Diabetes']
+Scores: [0.1257442981004715]
+Labels: ['Cancer']
+Scores: [0.0010594866471365094]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001668886630795896]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011525533627718687]
+Labels: ['Mental Health']
+Scores: [0.0006375578232109547]
+Labels: ['Diabetes type 1']
+Scores: [0.026224471628665924]
+Labels: ['Diabetes type 2']
+Scores: [0.036599330604076385]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013117761351168156]
+Labels: ['Diabetes']
+Scores: [0.8776376843452454]
+Labels: ['Cancer']
+Scores: [0.0009684700053185225]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00434116879478097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0758354589343071]
+Labels: ['Mental Health']
+Scores: [0.0007574330666102469]
+Labels: ['Diabetes type 1']
+Scores: [0.7618921399116516]
+Labels: ['Diabetes type 2']
+Scores: [0.00486357556656003]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02364153228700161]
+Labels: ['Diabetes']
+Scores: [0.974090576171875]
+Labels: ['Cancer']
+Scores: [0.0006386042223311961]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007259730715304613]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019020553678274155]
+Labels: ['Mental Health']
+Scores: [0.0004216960514895618]
+Labels: ['Diabetes type 1']
+Scores: [0.9897958636283875]
+Labels: ['Diabetes type 2']
+Scores: [0.0015885414322838187]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02422628365457058]
+Labels: ['Diabetes']
+Scores: [0.12865129113197327]
+Labels: ['Cancer']
+Scores: [0.000845586764626205]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018397315870970488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008803739212453365]
+Labels: ['Mental Health']
+Scores: [0.00047849115799181163]
+Labels: ['Diabetes type 1']
+Scores: [0.04429197311401367]
+Labels: ['Diabetes type 2']
+Scores: [0.054742831736803055]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715178
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Telemedicine', 'Child', 'Quality of Life', 'Rural Population', 'Child, Preschool', 'Parents', 'Mentoring', 'Occupational Therapy', 'Double-Blind Method', 'Pilot Projects', 'Glycated Hemoglobin', 'Self Efficacy', 'Adult', 'Parenting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023885633796453476]
+Labels: ['Diabetes']
+Scores: [0.7985613346099854]
+Labels: ['Cancer']
+Scores: [0.00314096687361598]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013462265022099018]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009064877405762672]
+Labels: ['Mental Health']
+Scores: [0.00045060107368044555]
+Labels: ['Diabetes type 1']
+Scores: [0.8494510054588318]
+Labels: ['Diabetes type 2']
+Scores: [0.0554838627576828]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714936
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Aged', 'Male', 'Insulin Infusion Systems', 'Insulin', 'Cross-Over Studies', 'Aged, 80 and over', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Glycated Hemoglobin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.041318196803331375]
+Labels: ['Diabetes']
+Scores: [0.9942599534988403]
+Labels: ['Cancer']
+Scores: [0.0004973767790943384]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0028343384619802237]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01450914703309536]
+Labels: ['Mental Health']
+Scores: [0.0003575157606974244]
+Labels: ['Diabetes type 1']
+Scores: [0.9910710453987122]
+Labels: ['Diabetes type 2']
+Scores: [0.00045850250171497464]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710861
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Cross-Sectional Studies', 'Child', 'Lipase', 'India', 'Amylases', 'Biomarkers', 'Young Adult', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Prognosis', 'Adult', 'Exocrine Pancreatic Insufficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09589582681655884]
+Labels: ['Diabetes']
+Scores: [0.7505624890327454]
+Labels: ['Cancer']
+Scores: [0.005753283388912678]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01659422740340233]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009151929058134556]
+Labels: ['Mental Health']
+Scores: [0.000495139800477773]
+Labels: ['Diabetes type 1']
+Scores: [0.8790304064750671]
+Labels: ['Diabetes type 2']
+Scores: [0.005081058945506811]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03893009573221207]
+Labels: ['Diabetes']
+Scores: [0.9565309286117554]
+Labels: ['Cancer']
+Scores: [0.017627252265810966]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004680863581597805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9835221767425537]
+Labels: ['Mental Health']
+Scores: [0.0026832292787730694]
+Labels: ['Diabetes type 1']
+Scores: [0.9594075083732605]
+Labels: ['Diabetes type 2']
+Scores: [0.012188775464892387]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708266
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats', 'Muscle, Skeletal', 'Drugs, Chinese Herbal', 'Insulin-Secreting Cells', 'Male', 'Adipose Tissue', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03680083528161049]
+Labels: ['Diabetes']
+Scores: [0.9874468445777893]
+Labels: ['Cancer']
+Scores: [0.0023460937663912773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026264306157827377]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0025260949041694403]
+Labels: ['Mental Health']
+Scores: [0.0006150229601189494]
+Labels: ['Diabetes type 1']
+Scores: [0.9887896180152893]
+Labels: ['Diabetes type 2']
+Scores: [0.001020300667732954]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707866
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Pilot Projects', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Middle Aged', 'Cognitive Dysfunction', 'Adult', 'Early Diagnosis', 'Aged', 'Retina', 'Visual Field Tests', 'Diabetic Retinopathy', 'Fixation, Ocular', 'Neuropsychological Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01949273981153965]
+Labels: ['Diabetes']
+Scores: [0.9629310369491577]
+Labels: ['Cancer']
+Scores: [0.0018955410923808813]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01969805359840393]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0056038168258965015]
+Labels: ['Mental Health']
+Scores: [0.022283082827925682]
+Labels: ['Diabetes type 1']
+Scores: [0.9882955551147461]
+Labels: ['Diabetes type 2']
+Scores: [0.01213589683175087]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707182
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Female', 'Child', 'Metabolomics', 'Adolescent', 'Metabolome', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Biomarkers', 'Metabolic Networks and Pathways', 'Machine Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02930731326341629]
+Labels: ['Diabetes']
+Scores: [0.9878336787223816]
+Labels: ['Cancer']
+Scores: [0.0006985390791669488]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005257015582174063]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1715400069952011]
+Labels: ['Mental Health']
+Scores: [0.00039676568121649325]
+Labels: ['Diabetes type 1']
+Scores: [0.0904003456234932]
+Labels: ['Diabetes type 2']
+Scores: [0.42836472392082214]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706675
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Retrospective Studies', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1', 'Blood Glucose', 'Hypoglycemic Agents', 'Risk Factors', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027700331062078476]
+Labels: ['Diabetes']
+Scores: [0.9895930886268616]
+Labels: ['Cancer']
+Scores: [0.0003339702379889786]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001802506041713059]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014476456679403782]
+Labels: ['Mental Health']
+Scores: [0.00032712973188608885]
+Labels: ['Diabetes type 1']
+Scores: [0.0005677431472577155]
+Labels: ['Diabetes type 2']
+Scores: [0.9907707571983337]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706641
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats, Wistar', 'Diabetic Neuropathies', 'NF-kappa B', 'Male', 'Diabetes Mellitus, Experimental', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 1', 'Streptozocin', 'Gabapentin', 'Glycation End Products, Advanced', 'Signal Transduction', 'Rats', 'Oxidative Stress', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014896010980010033]
+Labels: ['Diabetes']
+Scores: [0.9797830581665039]
+Labels: ['Cancer']
+Scores: [0.0005003262194804847]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005831814371049404]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007027365267276764]
+Labels: ['Mental Health']
+Scores: [0.0010770757216960192]
+Labels: ['Diabetes type 1']
+Scores: [0.9832479953765869]
+Labels: ['Diabetes type 2']
+Scores: [0.005684725008904934]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706517
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Magnetic Resonance Imaging', 'Adult', 'Neuralgia', 'Diabetic Neuropathies', 'Middle Aged', 'Brain', 'Cerebral Cortex']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018186479806900024]
+Labels: ['Diabetes']
+Scores: [0.9920815825462341]
+Labels: ['Cancer']
+Scores: [0.0023813084699213505]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004232543986290693]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003196231322363019]
+Labels: ['Mental Health']
+Scores: [0.005554952658712864]
+Labels: ['Diabetes type 1']
+Scores: [0.9887520670890808]
+Labels: ['Diabetes type 2']
+Scores: [0.0025322807487100363]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704278
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cytokines', 'Diabetes Mellitus, Type 1', 'Child', 'Chemokines', 'Adolescent', 'Sex Factors', 'Disease Progression', 'Child, Preschool', 'Intercellular Signaling Peptides and Proteins', 'Pilot Projects', 'Biomarkers', 'Sex Characteristics', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040517937391996384]
+Labels: ['Diabetes']
+Scores: [0.9344077110290527]
+Labels: ['Cancer']
+Scores: [0.0062531097792088985]
+Labels: ['Chronic respiratory disease']
+Scores: [0.046427130699157715]
+Labels: ['Cardiovascular diseases']
+Scores: [0.049461837857961655]
+Labels: ['Mental Health']
+Scores: [0.0009663770324550569]
+Labels: ['Diabetes type 1']
+Scores: [0.9501283168792725]
+Labels: ['Diabetes type 2']
+Scores: [0.4797273874282837]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704171
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 1', 'Mice', 'Interleukin-2', 'Disease Models, Animal', 'Interleukin-2 Receptor alpha Subunit', 'Interleukin-1 Receptor-Like 1 Protein', 'Interleukin-33', 'Mice, Inbred NOD', 'Female', 'Signal Transduction', 'CD8-Positive T-Lymphocytes', 'Islets of Langerhans', 'Th1 Cells', 'Interleukin-10', 'Autoimmunity', 'Recombinant Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0234381053596735]
+Labels: ['Diabetes']
+Scores: [0.8404144644737244]
+Labels: ['Cancer']
+Scores: [0.002967239124700427]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02074197307229042]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0038811417762190104]
+Labels: ['Mental Health']
+Scores: [0.004066025838255882]
+Labels: ['Diabetes type 1']
+Scores: [0.877369225025177]
+Labels: ['Diabetes type 2']
+Scores: [0.04508141428232193]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704022
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Bioengineering', 'Animals', 'Genomics', 'Insulin-Secreting Cells', 'Proteomics', 'Insulin', 'Islets of Langerhans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03751390054821968]
+Labels: ['Diabetes']
+Scores: [0.980692446231842]
+Labels: ['Cancer']
+Scores: [0.005454141180962324]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013354024849832058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023280458990484476]
+Labels: ['Mental Health']
+Scores: [0.000928832043427974]
+Labels: ['Diabetes type 1']
+Scores: [0.9821056127548218]
+Labels: ['Diabetes type 2']
+Scores: [0.002301356755197048]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703896
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Receptors, Calcitriol', 'South Africa', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Black People', 'Adult', 'Case-Control Studies', 'Vitamin D', 'Genotype', 'Young Adult', 'Polymorphism, Restriction Fragment Length', 'Polymorphism, Single Nucleotide', 'Genetic Predisposition to Disease', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012247745878994465]
+Labels: ['Diabetes']
+Scores: [0.805343508720398]
+Labels: ['Cancer']
+Scores: [0.0022515568416565657]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00998008530586958]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005462051834911108]
+Labels: ['Mental Health']
+Scores: [0.001963739050552249]
+Labels: ['Diabetes type 1']
+Scores: [0.888521134853363]
+Labels: ['Diabetes type 2']
+Scores: [0.007757958956062794]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703609
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'SARS-CoV-2', 'Acute Kidney Injury', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005911021493375301]
+Labels: ['Diabetes']
+Scores: [0.2824518382549286]
+Labels: ['Cancer']
+Scores: [0.003539895871654153]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11401727795600891]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00941959023475647]
+Labels: ['Mental Health']
+Scores: [0.001309701125137508]
+Labels: ['Diabetes type 1']
+Scores: [0.04210672900080681]
+Labels: ['Diabetes type 2']
+Scores: [0.12428757548332214]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39702941
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Dendritic Cells', 'Humans', 'Macrophages', 'Immune Tolerance', 'Receptors, Cytoplasmic and Nuclear', 'Mitochondria', 'Male', 'Female', 'Phenotype']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01755063608288765]
+Labels: ['Diabetes']
+Scores: [0.984410285949707]
+Labels: ['Cancer']
+Scores: [0.0014741268241778016]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03456265479326248]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006353790406137705]
+Labels: ['Mental Health']
+Scores: [0.0005160628352314234]
+Labels: ['Diabetes type 1']
+Scores: [0.9550857543945312]
+Labels: ['Diabetes type 2']
+Scores: [0.01773037016391754]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39701114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diabetic Ketoacidosis', 'Adolescent', 'Female', 'Male', 'Child', 'Hypoglycemia', 'Young Adult', 'Insulin', 'Hypoglycemic Agents', 'Insulin Infusion Systems', 'Child, Preschool', 'Blood Glucose', 'Prospective Studies', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029389699921011925]
+Labels: ['Diabetes']
+Scores: [0.9462111592292786]
+Labels: ['Cancer']
+Scores: [0.00034192251041531563]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002568167168647051]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07474570721387863]
+Labels: ['Mental Health']
+Scores: [0.0003092874540016055]
+Labels: ['Diabetes type 1']
+Scores: [0.9846858978271484]
+Labels: ['Diabetes type 2']
+Scores: [0.000402379926526919]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699995
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Adult', 'Female', 'Male', 'Insulin', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Hypoglycemic Agents', 'Retrospective Studies', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03776627406477928]
+Labels: ['Diabetes']
+Scores: [0.9983097910881042]
+Labels: ['Cancer']
+Scores: [0.00032594965887255967]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0035207162145525217]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05056538060307503]
+Labels: ['Mental Health']
+Scores: [0.000604119966737926]
+Labels: ['Diabetes type 1']
+Scores: [0.9867956638336182]
+Labels: ['Diabetes type 2']
+Scores: [0.0009800445986911654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697323
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'MicroRNAs', 'Insulin-Secreting Cells', 'Enterovirus B, Human', 'Coxsackievirus Infections', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Insulin', 'Trophoblasts']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017366020008921623]
+Labels: ['Diabetes']
+Scores: [0.9410470128059387]
+Labels: ['Cancer']
+Scores: [0.0026978589594364166]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05930835381150246]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009747442789375782]
+Labels: ['Mental Health']
+Scores: [0.0018281943630427122]
+Labels: ['Diabetes type 1']
+Scores: [0.8767604231834412]
+Labels: ['Diabetes type 2']
+Scores: [0.0053894491866230965]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696373
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021329335868358612]
+Labels: ['Diabetes']
+Scores: [0.992279589176178]
+Labels: ['Cancer']
+Scores: [0.029269561171531677]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018898173002526164]
+Labels: ['Cardiovascular diseases']
+Scores: [0.048400793224573135]
+Labels: ['Mental Health']
+Scores: [0.0005703586502932012]
+Labels: ['Diabetes type 1']
+Scores: [0.9757765531539917]
+Labels: ['Diabetes type 2']
+Scores: [0.001489574438892305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696094
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Sirolimus', 'Genetic Diseases, X-Linked', 'Diarrhea', 'Immunosuppressive Agents', 'Forkhead Transcription Factors', 'Immune System Diseases', 'Infant', 'Mutation', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10241328924894333]
+Labels: ['Diabetes']
+Scores: [0.005061633884906769]
+Labels: ['Cancer']
+Scores: [0.009797073900699615]
+Labels: ['Chronic respiratory disease']
+Scores: [0.799181342124939]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04284365847706795]
+Labels: ['Mental Health']
+Scores: [0.0012526182690635324]
+Labels: ['Diabetes type 1']
+Scores: [0.005131605546921492]
+Labels: ['Diabetes type 2']
+Scores: [0.007533390540629625]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39692076
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Histamine', 'Female', 'Adult', 'Hot Temperature', 'Middle Aged', 'Diabetic Neuropathies', 'Axons', 'Neural Conduction', 'Reflex', 'Sural Nerve', 'Young Adult', 'ROC Curve', 'Neurologic Examination']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06293031573295593]
+Labels: ['Diabetes']
+Scores: [0.9901639819145203]
+Labels: ['Cancer']
+Scores: [0.0006191489519551396]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02132529392838478]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010073717683553696]
+Labels: ['Mental Health']
+Scores: [0.0009353942587040365]
+Labels: ['Diabetes type 1']
+Scores: [0.9862391948699951]
+Labels: ['Diabetes type 2']
+Scores: [0.0005959690897725523]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39691822
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'New Zealand', 'Cross-Sectional Studies', 'Adolescent', 'Child', 'Diabetes Mellitus, Type 1', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Prevalence', 'Child, Preschool', 'Adult', 'Glycated Hemoglobin', 'Primary Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02879147231578827]
+Labels: ['Diabetes']
+Scores: [0.9416453838348389]
+Labels: ['Cancer']
+Scores: [0.002209073631092906]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02203407511115074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.41580599546432495]
+Labels: ['Mental Health']
+Scores: [0.0032420442439615726]
+Labels: ['Diabetes type 1']
+Scores: [0.06516671925783157]
+Labels: ['Diabetes type 2']
+Scores: [0.11376691609621048]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39689816
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Female', 'Middle Aged', 'Depression', 'Adult', 'Glycated Hemoglobin', 'Prevalence', 'Sex Factors', 'Surveys and Questionnaires', 'Self-Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018564896658062935]
+Labels: ['Diabetes']
+Scores: [0.998600423336029]
+Labels: ['Cancer']
+Scores: [0.0017240215092897415]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003534215036779642]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011876850388944149]
+Labels: ['Mental Health']
+Scores: [0.014571950770914555]
+Labels: ['Diabetes type 1']
+Scores: [0.9906308054924011]
+Labels: ['Diabetes type 2']
+Scores: [0.0007603908888995647]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39689633
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Parents', 'Qualitative Research', 'Child', 'Adolescent', 'Child, Preschool', 'Interviews as Topic', 'Infant', 'Hospitalization', 'Adult', 'Self Care', 'Self-Management', 'Perception', 'Social Support']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0240433719009161]
+Labels: ['Diabetes']
+Scores: [0.9715092182159424]
+Labels: ['Cancer']
+Scores: [0.008344032801687717]
+Labels: ['Chronic respiratory disease']
+Scores: [0.030162788927555084]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2958163321018219]
+Labels: ['Mental Health']
+Scores: [0.0011453344486653805]
+Labels: ['Diabetes type 1']
+Scores: [0.9659004211425781]
+Labels: ['Diabetes type 2']
+Scores: [0.0005635918932966888]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39688288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Male', 'Adult', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 1', 'Medically Underserved Area', 'California', 'Florida']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02428489364683628]
+Labels: ['Diabetes']
+Scores: [0.975480854511261]
+Labels: ['Cancer']
+Scores: [0.00036852998891845345]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005467900075018406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011354244314134121]
+Labels: ['Mental Health']
+Scores: [0.00035561807453632355]
+Labels: ['Diabetes type 1']
+Scores: [0.050730977207422256]
+Labels: ['Diabetes type 2']
+Scores: [0.15632745623588562]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686350
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Female', 'Spectroscopy, Near-Infrared', 'Blood Glucose', 'Male', 'Middle Aged', 'Prospective Studies', 'Diabetes Mellitus, Type 2', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02733946219086647]
+Labels: ['Diabetes']
+Scores: [0.7888861894607544]
+Labels: ['Cancer']
+Scores: [0.0013531718868762255]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012432056479156017]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07714919745922089]
+Labels: ['Mental Health']
+Scores: [0.0002954686351586133]
+Labels: ['Diabetes type 1']
+Scores: [0.06551899760961533]
+Labels: ['Diabetes type 2']
+Scores: [0.14304736256599426]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686207
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Neural Networks, Computer', 'Blood Glucose', 'Internet of Things', 'Deep Learning', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Forecasting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01961410604417324]
+Labels: ['Diabetes']
+Scores: [0.9699540734291077]
+Labels: ['Cancer']
+Scores: [0.014731907285749912]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005088571924716234]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7305545806884766]
+Labels: ['Mental Health']
+Scores: [0.0006804860895499587]
+Labels: ['Diabetes type 1']
+Scores: [0.9656347036361694]
+Labels: ['Diabetes type 2']
+Scores: [0.005424593109637499]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39683492
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Isomaltose', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Middle Aged', 'Cross-Over Studies', 'Adult', 'Exercise', 'Insulin', 'Blood Glucose', 'Insulin Infusion Systems', 'Glucagon', 'Glucagon-Like Peptide 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03663208335638046]
+Labels: ['Diabetes']
+Scores: [0.9588014483451843]
+Labels: ['Cancer']
+Scores: [0.0007745045586489141]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007034887094050646]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013675172813236713]
+Labels: ['Mental Health']
+Scores: [0.0003714001795742661]
+Labels: ['Diabetes type 1']
+Scores: [0.8913516998291016]
+Labels: ['Diabetes type 2']
+Scores: [0.0008778052288107574]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683465
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Female', 'Humans', 'Diabetes Mellitus, Type 1', 'Dietary Supplements', 'Dipeptidyl-Peptidase IV Inhibitors', 'Insulin-Secreting Cells', 'Latent Autoimmune Diabetes in Adults', 'Vitamin D', 'Vitamin D Deficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01772213727235794]
+Labels: ['Diabetes']
+Scores: [0.919454038143158]
+Labels: ['Cancer']
+Scores: [0.001651762519031763]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00421922467648983]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009659886360168457]
+Labels: ['Mental Health']
+Scores: [0.0018735016928985715]
+Labels: ['Diabetes type 1']
+Scores: [0.011680620722472668]
+Labels: ['Diabetes type 2']
+Scores: [0.0708790048956871]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682744
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Extracellular Vesicles', 'Humans', 'Insulin-Secreting Cells', 'Cell Communication', 'Animals', 'Islets of Langerhans', 'Cellular Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011442938819527626]
+Labels: ['Diabetes']
+Scores: [0.988341748714447]
+Labels: ['Cancer']
+Scores: [0.002143093151971698]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005811587441712618]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004803854040801525]
+Labels: ['Mental Health']
+Scores: [0.004013075493276119]
+Labels: ['Diabetes type 1']
+Scores: [0.9772363901138306]
+Labels: ['Diabetes type 2']
+Scores: [0.0011849323054775596]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682729
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Intestinal Mucosa', 'Inflammatory Bowel Diseases', 'Celiac Disease', 'Protein Tyrosine Phosphatases', 'Animals', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027699340134859085]
+Labels: ['Diabetes']
+Scores: [0.04830294847488403]
+Labels: ['Cancer']
+Scores: [0.009292668662965298]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004829308949410915]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016335818218067288]
+Labels: ['Mental Health']
+Scores: [0.0013883324572816491]
+Labels: ['Diabetes type 1']
+Scores: [0.06858285516500473]
+Labels: ['Diabetes type 2']
+Scores: [0.05571970343589783]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39682726
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Organoids', 'Alzheimer Disease', 'Herpesvirus 1, Human', 'Brain', 'Herpes Simplex', 'Islets of Langerhans', 'Autoimmune Diseases', 'Stem Cells', 'Transcriptome', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011712761595845222]
+Labels: ['Diabetes']
+Scores: [0.05459779128432274]
+Labels: ['Cancer']
+Scores: [0.0032196349930018187]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024172579869627953]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0048354570753872395]
+Labels: ['Mental Health']
+Scores: [0.004320963751524687]
+Labels: ['Diabetes type 1']
+Scores: [0.09728710353374481]
+Labels: ['Diabetes type 2']
+Scores: [0.009621301665902138]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680874
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Aged', 'Diabetes Mellitus, Type 1', 'Caregivers', 'Male', 'Pilot Projects', 'Female', 'Feasibility Studies', 'Quality of Life', 'Middle Aged', 'Self-Management', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022239234298467636]
+Labels: ['Diabetes']
+Scores: [0.5807112455368042]
+Labels: ['Cancer']
+Scores: [0.0021662500221282244]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012907217256724834]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00964368600398302]
+Labels: ['Mental Health']
+Scores: [0.002870462369173765]
+Labels: ['Diabetes type 1']
+Scores: [0.033889781683683395]
+Labels: ['Diabetes type 2']
+Scores: [0.03564191982150078]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680256
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Glycemic Control', 'Child', 'Diabetes Mellitus, Type 1', 'Parents', 'Child, Preschool', 'Hypoglycemia', 'Stress, Psychological', 'Infant', 'Blood Glucose', 'Parent-Child Relations', 'Fear']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017760224640369415]
+Labels: ['Diabetes']
+Scores: [0.9781672954559326]
+Labels: ['Cancer']
+Scores: [0.02675792947411537]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005431933328509331]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012820343486964703]
+Labels: ['Mental Health']
+Scores: [0.0008158582495525479]
+Labels: ['Diabetes type 1']
+Scores: [0.8881968259811401]
+Labels: ['Diabetes type 2']
+Scores: [0.003513848641887307]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39679900
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Adult', 'Obesity', 'Diabetes Complications', 'Insulin Resistance', 'Young Adult', 'Cardiovascular Diseases', 'Obesity, Metabolically Benign', 'Body Mass Index', 'Follow-Up Studies', 'Adolescent', 'Diabetic Neuropathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.037098705768585205]
+Labels: ['Diabetes']
+Scores: [0.9460158348083496]
+Labels: ['Cancer']
+Scores: [0.0014373353915289044]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0036634798161685467]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6635541915893555]
+Labels: ['Mental Health']
+Scores: [0.0004344666376709938]
+Labels: ['Diabetes type 1']
+Scores: [0.9872944951057434]
+Labels: ['Diabetes type 2']
+Scores: [0.0005576828261837363]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39678192
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Biomarkers', 'Female', 'Lipase', 'Adult', 'Amylases', 'Immunotherapy', 'Trypsin', 'Young Adult', 'Pancreas, Exocrine', 'Adolescent', 'Granulocyte Colony-Stimulating Factor', 'Treatment Outcome', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05047297850251198]
+Labels: ['Diabetes']
+Scores: [0.9890897870063782]
+Labels: ['Cancer']
+Scores: [0.004567886237055063]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03630181401968002]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006007861346006393]
+Labels: ['Mental Health']
+Scores: [0.0005162543384358287]
+Labels: ['Diabetes type 1']
+Scores: [0.9936392903327942]
+Labels: ['Diabetes type 2']
+Scores: [0.004473289009183645]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39676645
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Prospective Studies', 'Adult', 'Systole', 'Diastole', 'Ultrasonography, Prenatal', 'Fetal Heart', 'Diabetes Mellitus, Type 1', 'Echocardiography, Doppler', 'Young Adult', 'Ventricular Function, Left', 'Myocardial Contraction', 'Pregnancy in Diabetics', 'Stroke Volume', 'Diabetes Mellitus, Type 2', 'Heart Ventricles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04513721540570259]
+Labels: ['Diabetes']
+Scores: [0.9344691038131714]
+Labels: ['Cancer']
+Scores: [0.06815911829471588]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06731186807155609]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9973663687705994]
+Labels: ['Mental Health']
+Scores: [0.0009087221696972847]
+Labels: ['Diabetes type 1']
+Scores: [0.12877489626407623]
+Labels: ['Diabetes type 2']
+Scores: [0.2949713468551636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39676515
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Health Knowledge, Attitudes, Practice', 'Female', 'Male', 'School Teachers', 'Morocco', 'Adult', 'Surveys and Questionnaires', 'Child', 'Schools', 'Health Education', 'School Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012371910735964775]
+Labels: ['Diabetes']
+Scores: [0.9836525917053223]
+Labels: ['Cancer']
+Scores: [0.015807300806045532]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02859242632985115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.024986106902360916]
+Labels: ['Mental Health']
+Scores: [0.002774848835542798]
+Labels: ['Diabetes type 1']
+Scores: [0.9198118448257446]
+Labels: ['Diabetes type 2']
+Scores: [0.0005135302199050784]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675543
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Pyroptosis', 'Diabetes Mellitus, Type 1', 'Mice', 'Arsenic', 'Caspase 1', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Diabetes Mellitus, Experimental', 'Male', 'Insulin', 'Reactive Oxygen Species', 'Blood Glucose', 'Streptozocin', 'Phosphate-Binding Proteins', 'Disease Progression', 'Interleukin-18', 'Interleukin-1beta', 'Pancreas', 'Signal Transduction', 'Mice, Inbred C57BL', 'Insulin Resistance', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021085994318127632]
+Labels: ['Diabetes']
+Scores: [0.9836406111717224]
+Labels: ['Cancer']
+Scores: [0.0012380772968754172]
+Labels: ['Chronic respiratory disease']
+Scores: [0.041681140661239624]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20245668292045593]
+Labels: ['Mental Health']
+Scores: [0.002317910548299551]
+Labels: ['Diabetes type 1']
+Scores: [0.9702747464179993]
+Labels: ['Diabetes type 2']
+Scores: [0.01062717568129301]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675483
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Insulin Infusion Systems', 'Adolescent', 'Parents', 'Insulin', 'Blood Glucose Self-Monitoring', 'Child', 'Hypoglycemic Agents', 'Patient Acceptance of Health Care', 'Surveys and Questionnaires', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023312676697969437]
+Labels: ['Diabetes']
+Scores: [0.9976376295089722]
+Labels: ['Cancer']
+Scores: [0.0004346685891505331]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004893605597317219]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20269493758678436]
+Labels: ['Mental Health']
+Scores: [0.0003576965245883912]
+Labels: ['Diabetes type 1']
+Scores: [0.9476751685142517]
+Labels: ['Diabetes type 2']
+Scores: [0.0005093923537060618]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675356
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Methylenetetrahydrofolate Reductase (NADPH2)', 'Female', 'Male', 'Adolescent', 'Child', 'Interleukin-4', 'Polymorphism, Genetic', 'Diabetic Neuropathies', 'Diabetes Mellitus, Type 1', 'Genotype', 'Genetic Predisposition to Disease', 'Neural Conduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04163287207484245]
+Labels: ['Diabetes']
+Scores: [0.7554038166999817]
+Labels: ['Cancer']
+Scores: [0.002319037215784192]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00878944806754589]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00345623423345387]
+Labels: ['Mental Health']
+Scores: [0.140916109085083]
+Labels: ['Diabetes type 1']
+Scores: [0.028465894982218742]
+Labels: ['Diabetes type 2']
+Scores: [0.04300512373447418]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673446
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cost-Benefit Analysis', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents', 'Models, Economic', 'Glycated Hemoglobin', 'Quality-Adjusted Life Years', 'Randomized Controlled Trials as Topic', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0256981048732996]
+Labels: ['Diabetes']
+Scores: [0.9384583830833435]
+Labels: ['Cancer']
+Scores: [0.000501228787470609]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0038850298151373863]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014040154404938221]
+Labels: ['Mental Health']
+Scores: [0.00030212197452783585]
+Labels: ['Diabetes type 1']
+Scores: [0.9558683037757874]
+Labels: ['Diabetes type 2']
+Scores: [0.0009160111658275127]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673230
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cardiovascular Diseases', 'Australia', 'Risk Assessment', 'Male', 'Female', 'Adult', 'Middle Aged', 'Heart Disease Risk Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03251497074961662]
+Labels: ['Diabetes']
+Scores: [0.9449480175971985]
+Labels: ['Cancer']
+Scores: [0.0030838875100016594]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009244887623935938]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9959790110588074]
+Labels: ['Mental Health']
+Scores: [0.00033845013240352273]
+Labels: ['Diabetes type 1']
+Scores: [0.9666682481765747]
+Labels: ['Diabetes type 2']
+Scores: [0.0035988937597721815]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39670552
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Insulin', 'Child', 'Female', 'Male', 'Needlestick Injuries', 'Injections, Subcutaneous', 'Needles', 'Adolescent', 'Diabetes Mellitus, Type 1', 'Child, Preschool', 'Hypoglycemic Agents', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.053972870111465454]
+Labels: ['Diabetes']
+Scores: [0.08215579390525818]
+Labels: ['Cancer']
+Scores: [0.003764002351090312]
+Labels: ['Chronic respiratory disease']
+Scores: [0.40230002999305725]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05347510054707527]
+Labels: ['Mental Health']
+Scores: [0.0003655898035503924]
+Labels: ['Diabetes type 1']
+Scores: [0.06089578941464424]
+Labels: ['Diabetes type 2']
+Scores: [0.07086487114429474]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39667114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Child', 'Prospective Studies', 'Pneumococcal Vaccines', 'Seroconversion', 'Pilot Projects', 'Antibodies, Bacterial', 'Child, Preschool', 'Immunoglobulin G', 'Adolescent', 'Vaccination', 'Pneumococcal Infections', 'Glycated Hemoglobin', 'Streptococcus pneumoniae']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02253507636487484]
+Labels: ['Diabetes']
+Scores: [0.9870098829269409]
+Labels: ['Cancer']
+Scores: [0.004304414615035057]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2739608883857727]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003236121730878949]
+Labels: ['Mental Health']
+Scores: [0.0007609847816638649]
+Labels: ['Diabetes type 1']
+Scores: [0.9887808561325073]
+Labels: ['Diabetes type 2']
+Scores: [0.10233337432146072]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021901655942201614]
+Labels: ['Diabetes']
+Scores: [0.9962021708488464]
+Labels: ['Cancer']
+Scores: [0.0008293708669953048]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003989404533058405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.041477467864751816]
+Labels: ['Mental Health']
+Scores: [0.0004723000747617334]
+Labels: ['Diabetes type 1']
+Scores: [0.02391183376312256]
+Labels: ['Diabetes type 2']
+Scores: [0.8181951642036438]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665438
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Insulin-Secreting Cells', 'Diabetes Mellitus, Experimental', 'Cell Survival', 'Anti-Inflammatory Agents', 'Polytetrafluoroethylene', 'Diabetes Mellitus, Type 1', 'Male', 'Macrophages', 'Membranes, Artificial', 'Mice, Inbred C57BL', 'Cell Encapsulation', 'Islets of Langerhans Transplantation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014644539915025234]
+Labels: ['Diabetes']
+Scores: [0.9329684972763062]
+Labels: ['Cancer']
+Scores: [0.001647466910071671]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005687744356691837]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007250587921589613]
+Labels: ['Mental Health']
+Scores: [0.0009261968079954386]
+Labels: ['Diabetes type 1']
+Scores: [0.6203768849372864]
+Labels: ['Diabetes type 2']
+Scores: [0.09675339609384537]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39664107
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Adult', 'Middle Aged', 'Diabetic Neuropathies', 'Female', 'Magnetic Resonance Imaging', 'Olfactory Bulb', 'Aged', 'Young Adult', 'Adolescent', 'Case-Control Studies', 'Smell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05845144763588905]
+Labels: ['Diabetes']
+Scores: [0.9843366742134094]
+Labels: ['Cancer']
+Scores: [0.0004911433788947761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.46965864300727844]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2545330822467804]
+Labels: ['Mental Health']
+Scores: [0.00246339850127697]
+Labels: ['Diabetes type 1']
+Scores: [0.9644346237182617]
+Labels: ['Diabetes type 2']
+Scores: [0.00036308722337707877]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39663236
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Quality of Life', 'Psychometrics', 'Sweden', 'Child', 'Male', 'Female', 'Surveys and Questionnaires', 'Chronic Disease', 'Adolescent', 'Reproducibility of Results', 'Diabetes Mellitus, Type 1', 'Translations', 'Asthma', 'Parents', 'Factor Analysis, Statistical', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02856789156794548]
+Labels: ['Diabetes']
+Scores: [0.011717031709849834]
+Labels: ['Cancer']
+Scores: [0.003971061669290066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02752826176583767]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015014702454209328]
+Labels: ['Mental Health']
+Scores: [0.0018973336555063725]
+Labels: ['Diabetes type 1']
+Scores: [0.0016621575923636556]
+Labels: ['Diabetes type 2']
+Scores: [0.0023004559334367514]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661959
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Adolescent', 'Male', 'Belgium', 'Longitudinal Studies', 'Young Adult', 'Adult', 'Self Concept']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04029646888375282]
+Labels: ['Diabetes']
+Scores: [0.9326040148735046]
+Labels: ['Cancer']
+Scores: [0.023785896599292755]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01109837181866169]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005082526709884405]
+Labels: ['Mental Health']
+Scores: [0.0072529511526227]
+Labels: ['Diabetes type 1']
+Scores: [0.9761056303977966]
+Labels: ['Diabetes type 2']
+Scores: [0.0039774575270712376]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658973
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Retrospective Studies', 'Pakistan', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Adult', 'SARS-CoV-2', 'Survival Rate', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01074835192412138]
+Labels: ['Diabetes']
+Scores: [0.9887562990188599]
+Labels: ['Cancer']
+Scores: [0.003760893829166889]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024440621957182884]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011311184614896774]
+Labels: ['Mental Health']
+Scores: [0.0008368479320779443]
+Labels: ['Diabetes type 1']
+Scores: [0.5127577185630798]
+Labels: ['Diabetes type 2']
+Scores: [0.745684802532196]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658119
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Diabetes Mellitus, Type 1', 'Child', 'Male', 'Female', 'Retrospective Studies', 'Adolescent', 'Saudi Arabia', 'Child, Preschool', 'Incidence', 'Polyuria', 'Abdominal Pain', 'Polydipsia', 'Vomiting', 'Age Factors', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026026470586657524]
+Labels: ['Diabetes']
+Scores: [0.9882820248603821]
+Labels: ['Cancer']
+Scores: [0.0013896707678213716]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005955485161393881]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0557238943874836]
+Labels: ['Mental Health']
+Scores: [0.0003781630948651582]
+Labels: ['Diabetes type 1']
+Scores: [0.9795562624931335]
+Labels: ['Diabetes type 2']
+Scores: [0.007758478168398142]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658013
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Female', 'Male', 'Self Efficacy', 'Quality of Life', 'Jordan', 'Glycemic Control', 'Empowerment', 'Glycated Hemoglobin', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025871770456433296]
+Labels: ['Diabetes']
+Scores: [0.8392813801765442]
+Labels: ['Cancer']
+Scores: [0.01129320077598095]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006601364584639668]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00405326671898365]
+Labels: ['Mental Health']
+Scores: [0.011933129280805588]
+Labels: ['Diabetes type 1']
+Scores: [0.5083653926849365]
+Labels: ['Diabetes type 2']
+Scores: [0.00310527510009706]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653802
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Exercise', 'Insulin Infusion Systems', 'Insulin', 'Adolescent', 'Child', 'Hypoglycemic Agents', 'Europe', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026331087574362755]
+Labels: ['Diabetes']
+Scores: [0.9878606796264648]
+Labels: ['Cancer']
+Scores: [0.02841731533408165]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012618497014045715]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0254301056265831]
+Labels: ['Mental Health']
+Scores: [0.00044813650310970843]
+Labels: ['Diabetes type 1']
+Scores: [0.9694985151290894]
+Labels: ['Diabetes type 2']
+Scores: [0.0018387780291959643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39652325
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Male', 'Republic of Korea', 'Adolescent', 'Female', 'Child', 'Incidence', 'Child, Preschool', 'Young Adult', 'Cohort Studies', 'Pandemics', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008563610725104809]
+Labels: ['Diabetes']
+Scores: [0.9871464371681213]
+Labels: ['Cancer']
+Scores: [0.0008341112406924367]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037443287670612335]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013888216577470303]
+Labels: ['Mental Health']
+Scores: [0.0008724535000510514]
+Labels: ['Diabetes type 1']
+Scores: [0.5051600933074951]
+Labels: ['Diabetes type 2']
+Scores: [0.6431913375854492]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39652177
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Dermatitis, Atopic', 'Comorbidity', 'Risk Factors', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus', 'Child', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028676118701696396]
+Labels: ['Diabetes']
+Scores: [0.18254531919956207]
+Labels: ['Cancer']
+Scores: [0.0019328971393406391]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00282517122104764]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00041594772483222187]
+Labels: ['Mental Health']
+Scores: [0.00031382805900648236]
+Labels: ['Diabetes type 1']
+Scores: [0.05133091285824776]
+Labels: ['Diabetes type 2']
+Scores: [0.08335313946008682]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39649224
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Genetic Predisposition to Disease', 'Genome-Wide Association Study', 'Glycated Hemoglobin', 'Mendelian Randomization Analysis', 'Polymorphism, Single Nucleotide', 'Spondylitis, Ankylosing']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04189351201057434]
+Labels: ['Diabetes']
+Scores: [0.9479696154594421]
+Labels: ['Cancer']
+Scores: [0.0018145418725907803]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09640577435493469]
+Labels: ['Cardiovascular diseases']
+Scores: [0.020927073433995247]
+Labels: ['Mental Health']
+Scores: [0.0003671394078992307]
+Labels: ['Diabetes type 1']
+Scores: [0.06214050576090813]
+Labels: ['Diabetes type 2']
+Scores: [0.18562769889831543]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39648458
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Fatty Acids, Omega-3', 'Chemokine CXCL9', 'Insulin-Secreting Cells', 'Animals', 'Mice', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03516194969415665]
+Labels: ['Diabetes']
+Scores: [0.9838131070137024]
+Labels: ['Cancer']
+Scores: [0.003575005568563938]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029680943116545677]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04032526910305023]
+Labels: ['Mental Health']
+Scores: [0.0028777639381587505]
+Labels: ['Diabetes type 1']
+Scores: [0.9632494449615479]
+Labels: ['Diabetes type 2']
+Scores: [0.007721694186329842]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39645243
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Insulin-Secreting Cells', 'Animals', 'Drug Development', 'Insulin Secretion', 'Insulin', 'Disease Progression', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04427553713321686]
+Labels: ['Diabetes']
+Scores: [0.9884957075119019]
+Labels: ['Cancer']
+Scores: [0.0015827880706638098]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11203669011592865]
+Labels: ['Cardiovascular diseases']
+Scores: [0.797212541103363]
+Labels: ['Mental Health']
+Scores: [0.0006335668731480837]
+Labels: ['Diabetes type 1']
+Scores: [0.9818375706672668]
+Labels: ['Diabetes type 2']
+Scores: [0.0034400448203086853]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39644976
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diving', 'Adult', 'Hypoglycemia', 'Male', 'Female', 'Blood Glucose', 'Young Adult', 'Blood Glucose Self-Monitoring', 'Glycated Hemoglobin', 'Adolescent', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03887191787362099]
+Labels: ['Diabetes']
+Scores: [0.9852190017700195]
+Labels: ['Cancer']
+Scores: [0.002973375376313925]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00951725710183382]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04221523925662041]
+Labels: ['Mental Health']
+Scores: [0.0003871233493555337]
+Labels: ['Diabetes type 1']
+Scores: [0.9548547267913818]
+Labels: ['Diabetes type 2']
+Scores: [0.0009438125416636467]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39642862
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Islets of Langerhans Transplantation', 'Induced Pluripotent Stem Cells', 'Islets of Langerhans', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02941109612584114]
+Labels: ['Diabetes']
+Scores: [0.989233136177063]
+Labels: ['Cancer']
+Scores: [0.0016027117380872369]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0050186887383461]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013085923157632351]
+Labels: ['Mental Health']
+Scores: [0.0004221483541186899]
+Labels: ['Diabetes type 1']
+Scores: [0.9923250675201416]
+Labels: ['Diabetes type 2']
+Scores: [0.0004940492799505591]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39639901
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cost-Benefit Analysis', 'Diabetes Mellitus, Type 2', 'Patient Education as Topic', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033566687256097794]
+Labels: ['Diabetes']
+Scores: [0.9950510263442993]
+Labels: ['Cancer']
+Scores: [0.002178895054385066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012880955822765827]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08531678467988968]
+Labels: ['Mental Health']
+Scores: [0.0003727193980012089]
+Labels: ['Diabetes type 1']
+Scores: [0.005671445280313492]
+Labels: ['Diabetes type 2']
+Scores: [0.9808090329170227]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39636437
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Mice, Inbred NOD', 'Mice', 'Female', 'Diabetes Mellitus, Type 1', 'Antigens, Differentiation, T-Lymphocyte', 'Antibodies, Monoclonal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07861101627349854]
+Labels: ['Diabetes']
+Scores: [0.9920309782028198]
+Labels: ['Cancer']
+Scores: [0.00048183888429775834]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010638315230607986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007003637496381998]
+Labels: ['Mental Health']
+Scores: [0.0004964914987795055]
+Labels: ['Diabetes type 1']
+Scores: [0.9961464405059814]
+Labels: ['Diabetes type 2']
+Scores: [0.00048078986583277583]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39632776
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Glycemic Control', 'Blood Glucose Self-Monitoring', 'Hypoglycemia', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 2', 'Diabetic Angiopathies', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Postprandial Period', 'Clinical Relevance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015313463285565376]
+Labels: ['Diabetes']
+Scores: [0.9104390144348145]
+Labels: ['Cancer']
+Scores: [0.0005879339878447354]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012080089654773474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19821138679981232]
+Labels: ['Mental Health']
+Scores: [0.000730896950699389]
+Labels: ['Diabetes type 1']
+Scores: [0.03520181402564049]
+Labels: ['Diabetes type 2']
+Scores: [0.1811603307723999]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632164
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Female', 'Male', 'Child, Preschool', 'Surveys and Questionnaires', 'Infant', 'Parents', 'Insulin Infusion Systems', 'Patient Satisfaction', 'Blood Glucose', 'Child', 'Caregivers', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03417421877384186]
+Labels: ['Diabetes']
+Scores: [0.9878770709037781]
+Labels: ['Cancer']
+Scores: [0.0011150974314659834]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025547200813889503]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09352832287549973]
+Labels: ['Mental Health']
+Scores: [0.0003679588553495705]
+Labels: ['Diabetes type 1']
+Scores: [0.9914989471435547]
+Labels: ['Diabetes type 2']
+Scores: [0.002630410250276327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39629047
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Drug Administration Schedule', 'Glycated Hemoglobin', 'Hypoglycemia', 'Hypoglycemic Agents', 'Insulin', 'Insulin, Long-Acting', 'Randomized Controlled Trials as Topic', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023536330088973045]
+Labels: ['Diabetes']
+Scores: [0.9631648063659668]
+Labels: ['Cancer']
+Scores: [0.0007157512591220438]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015698885545134544]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02556150034070015]
+Labels: ['Mental Health']
+Scores: [0.0003145439550280571]
+Labels: ['Diabetes type 1']
+Scores: [0.2513089179992676]
+Labels: ['Diabetes type 2']
+Scores: [0.21747080981731415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39627081
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Retrospective Studies', 'Child', 'Female', 'Male', 'Adolescent', 'Child, Preschool', 'Infant', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 1', 'Insulin, Long-Acting', 'Insulin', 'Infant, Newborn', 'Infusions, Intravenous']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03333684056997299]
+Labels: ['Diabetes']
+Scores: [0.9779685139656067]
+Labels: ['Cancer']
+Scores: [0.0007637484814040363]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01931871473789215]
+Labels: ['Cardiovascular diseases']
+Scores: [0.060630571097135544]
+Labels: ['Mental Health']
+Scores: [0.0003357147506903857]
+Labels: ['Diabetes type 1']
+Scores: [0.11128413677215576]
+Labels: ['Diabetes type 2']
+Scores: [0.3121243417263031]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39626097
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'HLA-DR3 Antigen', 'Haplotypes', 'HLA-DR4 Antigen', 'Genetic Predisposition to Disease', 'Male', 'Female', 'Genome-Wide Association Study', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01976269856095314]
+Labels: ['Diabetes']
+Scores: [0.9973565340042114]
+Labels: ['Cancer']
+Scores: [0.0005145689938217402]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008267589844763279]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007634090259671211]
+Labels: ['Mental Health']
+Scores: [0.00039945999742485583]
+Labels: ['Diabetes type 1']
+Scores: [0.9943526983261108]
+Labels: ['Diabetes type 2']
+Scores: [0.00042783020762726665]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625868
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Wearable Electronic Devices']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03229684755206108]
+Labels: ['Diabetes']
+Scores: [0.8988140821456909]
+Labels: ['Cancer']
+Scores: [0.030464794486761093]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012663193978369236]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07493577897548676]
+Labels: ['Mental Health']
+Scores: [0.0006427070475183427]
+Labels: ['Diabetes type 1']
+Scores: [0.3959605097770691]
+Labels: ['Diabetes type 2']
+Scores: [0.318808913230896]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39625848
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Insulin', 'Administration, Cutaneous', 'Needles', 'Drug Delivery Systems', 'Animals', 'Skin', 'Swine', 'Skin Absorption', 'Microinjections', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Humans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08149439841508865]
+Labels: ['Diabetes']
+Scores: [0.8078989386558533]
+Labels: ['Cancer']
+Scores: [0.0061735305935144424]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03224342316389084]
+Labels: ['Cardiovascular diseases']
+Scores: [0.017994437366724014]
+Labels: ['Mental Health']
+Scores: [0.000902989530004561]
+Labels: ['Diabetes type 1']
+Scores: [0.7405941486358643]
+Labels: ['Diabetes type 2']
+Scores: [0.0059710219502449036]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625039
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, Glucagon', 'Hypoglycemic Agents', 'Blood Glucose', 'Insulin', 'Randomized Controlled Trials as Topic', 'Hypoglycemia', 'Treatment Outcome', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012945858761668205]
+Labels: ['Diabetes']
+Scores: [0.9698538184165955]
+Labels: ['Cancer']
+Scores: [0.0004461501957848668]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002253404352813959]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06715037673711777]
+Labels: ['Mental Health']
+Scores: [0.0004279445856809616]
+Labels: ['Diabetes type 1']
+Scores: [0.692999005317688]
+Labels: ['Diabetes type 2']
+Scores: [0.03010537102818489]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622650
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Adolescent', 'Insulin', 'Skin Diseases', 'Hypoglycemic Agents', 'Child, Preschool', 'Lipodystrophy', 'Dermatitis, Contact']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026120910421013832]
+Labels: ['Diabetes']
+Scores: [0.9705122709274292]
+Labels: ['Cancer']
+Scores: [0.002260170876979828]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0024620655458420515]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002247035503387451]
+Labels: ['Mental Health']
+Scores: [0.00035318490699864924]
+Labels: ['Diabetes type 1']
+Scores: [0.8238219022750854]
+Labels: ['Diabetes type 2']
+Scores: [0.052146319299936295]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622257
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Registries', 'Child', 'Female', 'Male', 'Longitudinal Studies', 'Adolescent', 'Child, Preschool', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Treatment Outcome', 'Infant', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024958336725831032]
+Labels: ['Diabetes']
+Scores: [0.9700374007225037]
+Labels: ['Cancer']
+Scores: [0.000794490217231214]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0035162093117833138]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011973710730671883]
+Labels: ['Mental Health']
+Scores: [0.00029524683486670256]
+Labels: ['Diabetes type 1']
+Scores: [0.9461963772773743]
+Labels: ['Diabetes type 2']
+Scores: [0.0009525667992420495]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622163
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Animals', 'Blood Glucose', 'Tissue Engineering', 'Porosity', 'Human Umbilical Vein Endothelial Cells', 'Tissue Scaffolds', 'Induced Pluripotent Stem Cells', 'Insulin', 'Diabetes Mellitus, Experimental', 'Printing, Three-Dimensional', 'Bioprinting', 'Male', 'Cell Survival', 'Insulin-Secreting Cells', 'Extracellular Matrix']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014832474291324615]
+Labels: ['Diabetes']
+Scores: [0.9877492785453796]
+Labels: ['Cancer']
+Scores: [0.0007345579215325415]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010176432318985462]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2376270890235901]
+Labels: ['Mental Health']
+Scores: [0.0005816359771415591]
+Labels: ['Diabetes type 1']
+Scores: [0.9886370301246643]
+Labels: ['Diabetes type 2']
+Scores: [0.0009022265439853072]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621933
+Predictions: ['Diabetes', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Child, Preschool', 'Retrospective Studies', 'Female', 'Blood Glucose', 'Male', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Hospitalization', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018494755029678345]
+Labels: ['Diabetes']
+Scores: [0.9934449195861816]
+Labels: ['Cancer']
+Scores: [0.000315426237648353]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003629593411460519]
+Labels: ['Cardiovascular diseases']
+Scores: [0.024809956550598145]
+Labels: ['Mental Health']
+Scores: [0.00032595949596725404]
+Labels: ['Diabetes type 1']
+Scores: [0.09697303920984268]
+Labels: ['Diabetes type 2']
+Scores: [0.19172750413417816]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621313
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice, Inbred NOD', 'Interleukin-4', 'Mice', 'Thymus Gland', 'Diabetes Mellitus, Type 1', 'Receptors, Antigen, T-Cell', 'Dendritic Cells', 'Natural Killer T-Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09171503037214279]
+Labels: ['Diabetes']
+Scores: [0.9110193252563477]
+Labels: ['Cancer']
+Scores: [0.0007621798431500793]
+Labels: ['Chronic respiratory disease']
+Scores: [0.049539629369974136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004793484229594469]
+Labels: ['Mental Health']
+Scores: [0.0007184846326708794]
+Labels: ['Diabetes type 1']
+Scores: [0.9483712911605835]
+Labels: ['Diabetes type 2']
+Scores: [0.013552133925259113]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39620918
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Aged', 'Automobile Driving', 'Insulin Infusion Systems', 'Male', 'Female', 'Insulin', 'Cross-Over Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0341336689889431]
+Labels: ['Diabetes']
+Scores: [0.9893202185630798]
+Labels: ['Cancer']
+Scores: [0.0006396301323547959]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011818835511803627]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04311368241906166]
+Labels: ['Mental Health']
+Scores: [0.0005539294797927141]
+Labels: ['Diabetes type 1']
+Scores: [0.3924996852874756]
+Labels: ['Diabetes type 2']
+Scores: [0.0007255323580466211]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015539722517132759]
+Labels: ['Diabetes']
+Scores: [0.9373363256454468]
+Labels: ['Cancer']
+Scores: [0.0011025711428374052]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06346017122268677]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2784760594367981]
+Labels: ['Mental Health']
+Scores: [0.016913149505853653]
+Labels: ['Diabetes type 1']
+Scores: [0.004499287344515324]
+Labels: ['Diabetes type 2']
+Scores: [0.8478712439537048]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05982905626296997]
+Labels: ['Diabetes']
+Scores: [0.8284870386123657]
+Labels: ['Cancer']
+Scores: [0.005565558560192585]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6316654682159424]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4271937906742096]
+Labels: ['Mental Health']
+Scores: [0.0014096477534621954]
+Labels: ['Diabetes type 1']
+Scores: [0.7863723635673523]
+Labels: ['Diabetes type 2']
+Scores: [0.0018700150540098548]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015075094066560268]
+Labels: ['Diabetes']
+Scores: [0.9342445135116577]
+Labels: ['Cancer']
+Scores: [0.0009201637003570795]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002518945373594761]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0031493292190134525]
+Labels: ['Mental Health']
+Scores: [0.0005433235201053321]
+Labels: ['Diabetes type 1']
+Scores: [0.02640242874622345]
+Labels: ['Diabetes type 2']
+Scores: [0.10315459966659546]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04695270583033562]
+Labels: ['Diabetes']
+Scores: [0.9466661810874939]
+Labels: ['Cancer']
+Scores: [0.0012662149965763092]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002927841618657112]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0031880338210612535]
+Labels: ['Mental Health']
+Scores: [0.0012088835937902331]
+Labels: ['Diabetes type 1']
+Scores: [0.02014564350247383]
+Labels: ['Diabetes type 2']
+Scores: [0.5928025841712952]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09770233184099197]
+Labels: ['Diabetes']
+Scores: [0.9424372911453247]
+Labels: ['Cancer']
+Scores: [0.0021150170359760523]
+Labels: ['Chronic respiratory disease']
+Scores: [0.030142484232783318]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0492192767560482]
+Labels: ['Mental Health']
+Scores: [0.000753259751945734]
+Labels: ['Diabetes type 1']
+Scores: [0.11423111706972122]
+Labels: ['Diabetes type 2']
+Scores: [0.38967442512512207]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021727779880166054]
+Labels: ['Diabetes']
+Scores: [0.7343320250511169]
+Labels: ['Cancer']
+Scores: [0.0036004940047860146]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016891198232769966]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6249349117279053]
+Labels: ['Mental Health']
+Scores: [0.0006708736182190478]
+Labels: ['Diabetes type 1']
+Scores: [0.07463524490594864]
+Labels: ['Diabetes type 2']
+Scores: [0.34307223558425903]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023132171481847763]
+Labels: ['Diabetes']
+Scores: [0.9558008909225464]
+Labels: ['Cancer']
+Scores: [0.007750273682177067]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009586429223418236]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01888250932097435]
+Labels: ['Mental Health']
+Scores: [0.0009765166323632002]
+Labels: ['Diabetes type 1']
+Scores: [0.021019717678427696]
+Labels: ['Diabetes type 2']
+Scores: [0.24255624413490295]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015340561978518963]
+Labels: ['Diabetes']
+Scores: [0.6627216935157776]
+Labels: ['Cancer']
+Scores: [0.006819849833846092]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014045678544789553]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9827383756637573]
+Labels: ['Mental Health']
+Scores: [0.0003792002971749753]
+Labels: ['Diabetes type 1']
+Scores: [0.0020430998411029577]
+Labels: ['Diabetes type 2']
+Scores: [0.9161826372146606]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04500580206513405]
+Labels: ['Diabetes']
+Scores: [0.9564566016197205]
+Labels: ['Cancer']
+Scores: [0.0009837497491389513]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009835044853389263]
+Labels: ['Cardiovascular diseases']
+Scores: [0.026237137615680695]
+Labels: ['Mental Health']
+Scores: [0.000775691238231957]
+Labels: ['Diabetes type 1']
+Scores: [0.0006579516339115798]
+Labels: ['Diabetes type 2']
+Scores: [0.9736445546150208]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01780012436211109]
+Labels: ['Diabetes']
+Scores: [0.9745655655860901]
+Labels: ['Cancer']
+Scores: [0.0029177989345043898]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025660565122961998]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9992281198501587]
+Labels: ['Mental Health']
+Scores: [0.0006351719493977726]
+Labels: ['Diabetes type 1']
+Scores: [0.015067788772284985]
+Labels: ['Diabetes type 2']
+Scores: [0.5252591371536255]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02073861099779606]
+Labels: ['Diabetes']
+Scores: [0.9767240881919861]
+Labels: ['Cancer']
+Scores: [0.0008472707122564316]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014361398061737418]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0022741719149053097]
+Labels: ['Mental Health']
+Scores: [0.00040257468936033547]
+Labels: ['Diabetes type 1']
+Scores: [0.0008193124667741358]
+Labels: ['Diabetes type 2']
+Scores: [0.9772115349769592]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04858553409576416]
+Labels: ['Diabetes']
+Scores: [0.990985631942749]
+Labels: ['Cancer']
+Scores: [0.02500983327627182]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027480771765112877]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15482555329799652]
+Labels: ['Mental Health']
+Scores: [0.0007253320072777569]
+Labels: ['Diabetes type 1']
+Scores: [0.006843271665275097]
+Labels: ['Diabetes type 2']
+Scores: [0.8002620339393616]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019007069990038872]
+Labels: ['Diabetes']
+Scores: [0.9823629856109619]
+Labels: ['Cancer']
+Scores: [0.00039477102109231055]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015207613818347454]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007282353471964598]
+Labels: ['Mental Health']
+Scores: [0.00038390359259210527]
+Labels: ['Diabetes type 1']
+Scores: [0.000894516590051353]
+Labels: ['Diabetes type 2']
+Scores: [0.9850215911865234]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033670276403427124]
+Labels: ['Diabetes']
+Scores: [0.009278705343604088]
+Labels: ['Cancer']
+Scores: [0.021394507959485054]
+Labels: ['Chronic respiratory disease']
+Scores: [0.031085243448615074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009251654148101807]
+Labels: ['Mental Health']
+Scores: [0.00036354950862005353]
+Labels: ['Diabetes type 1']
+Scores: [0.003918155562132597]
+Labels: ['Diabetes type 2']
+Scores: [0.006239573936909437]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0269556175917387]
+Labels: ['Diabetes']
+Scores: [0.95939701795578]
+Labels: ['Cancer']
+Scores: [0.00571773387491703]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0116026746109128]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9653973579406738]
+Labels: ['Mental Health']
+Scores: [0.0013423367636278272]
+Labels: ['Diabetes type 1']
+Scores: [0.004327705129981041]
+Labels: ['Diabetes type 2']
+Scores: [0.9509828090667725]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03954728692770004]
+Labels: ['Diabetes']
+Scores: [0.8489388227462769]
+Labels: ['Cancer']
+Scores: [0.0028187825810164213]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04496510326862335]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02941896952688694]
+Labels: ['Mental Health']
+Scores: [0.0007257006363943219]
+Labels: ['Diabetes type 1']
+Scores: [0.0010096699697896838]
+Labels: ['Diabetes type 2']
+Scores: [0.9596341848373413]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0247489120811224]
+Labels: ['Diabetes']
+Scores: [0.8592931032180786]
+Labels: ['Cancer']
+Scores: [0.01766057498753071]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02072877436876297]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004891895689070225]
+Labels: ['Mental Health']
+Scores: [0.004083095118403435]
+Labels: ['Diabetes type 1']
+Scores: [0.003895437577739358]
+Labels: ['Diabetes type 2']
+Scores: [0.9330244064331055]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02129732444882393]
+Labels: ['Diabetes']
+Scores: [0.6316324472427368]
+Labels: ['Cancer']
+Scores: [0.002298748819157481]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0045349509455263615]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09306526929140091]
+Labels: ['Mental Health']
+Scores: [0.0007172853220254183]
+Labels: ['Diabetes type 1']
+Scores: [0.005671394057571888]
+Labels: ['Diabetes type 2']
+Scores: [0.9167775511741638]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04967935383319855]
+Labels: ['Diabetes']
+Scores: [0.9440097808837891]
+Labels: ['Cancer']
+Scores: [0.0012578252935782075]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02322021685540676]
+Labels: ['Cardiovascular diseases']
+Scores: [0.051291123032569885]
+Labels: ['Mental Health']
+Scores: [0.0005008174921385944]
+Labels: ['Diabetes type 1']
+Scores: [0.10537263005971909]
+Labels: ['Diabetes type 2']
+Scores: [0.21412347257137299]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03747639060020447]
+Labels: ['Diabetes']
+Scores: [0.9357690215110779]
+Labels: ['Cancer']
+Scores: [0.0009192752186208963]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00374368648044765]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016795461997389793]
+Labels: ['Mental Health']
+Scores: [0.0002905782894231379]
+Labels: ['Diabetes type 1']
+Scores: [0.0004772320971824229]
+Labels: ['Diabetes type 2']
+Scores: [0.939375638961792]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014624827541410923]
+Labels: ['Diabetes']
+Scores: [0.978135347366333]
+Labels: ['Cancer']
+Scores: [0.00036270832060836256]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002809826983138919]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9957855343818665]
+Labels: ['Mental Health']
+Scores: [0.00028481989284045994]
+Labels: ['Diabetes type 1']
+Scores: [0.06935710459947586]
+Labels: ['Diabetes type 2']
+Scores: [0.1086111068725586]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735414
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cognitive Dysfunction', 'Olfaction Disorders', 'Early Diagnosis', 'Biomarkers', 'Smell', 'Magnetic Resonance Imaging', 'Brain']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.046365488320589066]
+Labels: ['Diabetes']
+Scores: [0.9615811705589294]
+Labels: ['Cancer']
+Scores: [0.0010850596008822322]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01570340432226658]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03920278325676918]
+Labels: ['Mental Health']
+Scores: [0.05132434517145157]
+Labels: ['Diabetes type 1']
+Scores: [0.0007211940828710794]
+Labels: ['Diabetes type 2']
+Scores: [0.9647456407546997]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734182
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Female', 'Male', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Tibia', 'Periosteum', 'Microcirculation', 'Treatment Outcome', 'Follow-Up Studies', 'Wound Healing', 'Diabetes Mellitus, Type 2', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02885577827692032]
+Labels: ['Diabetes']
+Scores: [0.8487799167633057]
+Labels: ['Cancer']
+Scores: [0.002189644845202565]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004119600169360638]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14475896954536438]
+Labels: ['Mental Health']
+Scores: [0.00030834137578494847]
+Labels: ['Diabetes type 1']
+Scores: [0.057431887835264206]
+Labels: ['Diabetes type 2']
+Scores: [0.26574254035949707]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018465856090188026]
+Labels: ['Diabetes']
+Scores: [0.6970677375793457]
+Labels: ['Cancer']
+Scores: [0.0024303572718054056]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015869273338466883]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004878772888332605]
+Labels: ['Mental Health']
+Scores: [0.00040828995406627655]
+Labels: ['Diabetes type 1']
+Scores: [0.07627511769533157]
+Labels: ['Diabetes type 2']
+Scores: [0.14597027003765106]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733138
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Diabetes Mellitus, Type 2', 'Humans', 'Osteoarthritis', 'Animals', 'Rats', 'Chondrocytes', 'Cartilage, Articular', 'Up-Regulation', 'Lipopolysaccharide Receptors', 'Male', 'Monocytes', 'Gene Expression Profiling', 'Biomarkers', 'Cell Adhesion Molecules']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019559627398848534]
+Labels: ['Diabetes']
+Scores: [0.9171029329299927]
+Labels: ['Cancer']
+Scores: [0.001185901928693056]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004105336964130402]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012220432981848717]
+Labels: ['Mental Health']
+Scores: [0.0011568672489374876]
+Labels: ['Diabetes type 1']
+Scores: [0.0036416349466890097]
+Labels: ['Diabetes type 2']
+Scores: [0.9689722061157227]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04430903121829033]
+Labels: ['Diabetes']
+Scores: [0.93956458568573]
+Labels: ['Cancer']
+Scores: [0.004730036947876215]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01226711180061102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.042235326021909714]
+Labels: ['Mental Health']
+Scores: [0.0009779746178537607]
+Labels: ['Diabetes type 1']
+Scores: [0.38484567403793335]
+Labels: ['Diabetes type 2']
+Scores: [0.3926575779914856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733102
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Monocytes', 'Male', 'Female', 'Middle Aged', 'Apolipoprotein A-I', 'Biomarkers', 'Aged', 'ROC Curve', 'Non-alcoholic Fatty Liver Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010527471080422401]
+Labels: ['Diabetes']
+Scores: [0.9433951377868652]
+Labels: ['Cancer']
+Scores: [0.0014318787725642323]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0031570878345519304]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005822594743221998]
+Labels: ['Mental Health']
+Scores: [0.008226326666772366]
+Labels: ['Diabetes type 1']
+Scores: [0.1379053145647049]
+Labels: ['Diabetes type 2']
+Scores: [0.9412695169448853]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732300
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Ferroptosis', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 2', 'Male', 'Drugs, Chinese Herbal', 'Mice', 'Diabetes Mellitus, Experimental', 'Mice, Inbred C57BL', 'Oxidative Stress', 'Liver', 'Diet, High-Fat', 'Lipid Peroxidation', 'Berberine', 'Cell Line', 'Glucosides', 'Flavanones', 'Streptozocin', 'Isoflavones', 'Flavonoids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022061636671423912]
+Labels: ['Diabetes']
+Scores: [0.9969433546066284]
+Labels: ['Cancer']
+Scores: [0.0009204475209116936]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007823250256478786]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004979349207133055]
+Labels: ['Mental Health']
+Scores: [0.0003426442854106426]
+Labels: ['Diabetes type 1']
+Scores: [0.0004770637897308916]
+Labels: ['Diabetes type 2']
+Scores: [0.997959315776825]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731787
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Insulin Resistance', 'Animals', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Mice', 'Triterpenes', 'Male', 'Diabetes Mellitus, Experimental', 'Molecular Structure', 'Structure-Activity Relationship', 'Humans', 'Dose-Response Relationship, Drug', 'Mice, Inbred C57BL']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009541907347738743]
+Labels: ['Diabetes']
+Scores: [0.6948273181915283]
+Labels: ['Cancer']
+Scores: [0.0030088000930845737]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008791007101535797]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03711541369557381]
+Labels: ['Mental Health']
+Scores: [0.0008297301828861237]
+Labels: ['Diabetes type 1']
+Scores: [0.005409070290625095]
+Labels: ['Diabetes type 2']
+Scores: [0.4087020456790924]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731761
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Coagulase', 'Comorbidity', 'Diabetes Mellitus, Type 2', 'Staphylococcal Infections', 'Staphylococcus', 'Systemic Inflammatory Response Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.044609956443309784]
+Labels: ['Diabetes']
+Scores: [0.06006884574890137]
+Labels: ['Cancer']
+Scores: [0.008199973963201046]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13063932955265045]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0049578361213207245]
+Labels: ['Mental Health']
+Scores: [0.002697701333090663]
+Labels: ['Diabetes type 1']
+Scores: [0.008601699024438858]
+Labels: ['Diabetes type 2']
+Scores: [0.11156423389911652]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04886605963110924]
+Labels: ['Diabetes']
+Scores: [0.9416941404342651]
+Labels: ['Cancer']
+Scores: [0.007642809767276049]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04493920877575874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013343799859285355]
+Labels: ['Mental Health']
+Scores: [0.0011616471456363797]
+Labels: ['Diabetes type 1']
+Scores: [0.025565210729837418]
+Labels: ['Diabetes type 2']
+Scores: [0.580594003200531]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730877
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Non-alcoholic Fatty Liver Disease', 'Triglycerides', 'Middle Aged', 'Male', 'Female', 'Cholesterol, HDL', 'Retrospective Studies', 'Adult', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08414258062839508]
+Labels: ['Diabetes']
+Scores: [0.8407551646232605]
+Labels: ['Cancer']
+Scores: [0.0020680706948041916]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006576627492904663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04350282996892929]
+Labels: ['Mental Health']
+Scores: [0.002554864389821887]
+Labels: ['Diabetes type 1']
+Scores: [0.001185547444038093]
+Labels: ['Diabetes type 2']
+Scores: [0.7618050575256348]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730670
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Thyroid Hormones', 'Aged', 'Diabetic Nephropathies', 'Diabetic Retinopathy', 'Diabetic Neuropathies', 'Thyrotropin', 'Thyroid Gland', 'Risk Factors', 'Thyroxine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01465651672333479]
+Labels: ['Diabetes']
+Scores: [0.8983169794082642]
+Labels: ['Cancer']
+Scores: [0.0021387236192822456]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008179668337106705]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10551022738218307]
+Labels: ['Mental Health']
+Scores: [0.002109259134158492]
+Labels: ['Diabetes type 1']
+Scores: [0.002616703510284424]
+Labels: ['Diabetes type 2']
+Scores: [0.899462878704071]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730430
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Periodontitis', 'Male', 'Female', 'Aged', 'Saliva', 'Biomarkers', 'Gingivitis', 'Adult', 'Microbiota', 'Aged, 80 and over', 'RNA, Ribosomal, 16S']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027308128774166107]
+Labels: ['Diabetes']
+Scores: [0.9735641479492188]
+Labels: ['Cancer']
+Scores: [0.0005486033041961491]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029860667884349823]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006944683846086264]
+Labels: ['Mental Health']
+Scores: [0.0007015539449639618]
+Labels: ['Diabetes type 1']
+Scores: [0.0006730221793986857]
+Labels: ['Diabetes type 2']
+Scores: [0.9733984470367432]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Female', 'Male', 'Heart Failure', 'Middle Aged', 'Aged', 'Retrospective Studies', 'Diabetes Mellitus, Type 2', 'Republic of Korea']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022587880492210388]
+Labels: ['Diabetes']
+Scores: [0.007841411046683788]
+Labels: ['Cancer']
+Scores: [0.0014814829919487238]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14635294675827026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.970101535320282]
+Labels: ['Mental Health']
+Scores: [0.0007393166306428611]
+Labels: ['Diabetes type 1']
+Scores: [0.003991571720689535]
+Labels: ['Diabetes type 2']
+Scores: [0.015297255478799343]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730078
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sleep Initiation and Maintenance Disorders', 'Prediabetic State', 'Glycated Hemoglobin', 'Cognitive Behavioral Therapy', 'Blood Glucose', 'Male', 'Female', 'Insulin Resistance', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Blood Glucose Self-Monitoring', 'Adult', 'Patient Education as Topic', 'Aged', 'Sleep']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021548697724938393]
+Labels: ['Diabetes']
+Scores: [0.704551637172699]
+Labels: ['Cancer']
+Scores: [0.0024435794912278652]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003697554115206003]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006278280634433031]
+Labels: ['Mental Health']
+Scores: [0.03536456078290939]
+Labels: ['Diabetes type 1']
+Scores: [0.06706229597330093]
+Labels: ['Diabetes type 2']
+Scores: [0.12352755665779114]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729922
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Periodontitis', 'Male', 'Rats, Wistar', 'Macrophages', 'Diabetes Mellitus, Experimental', 'Rats', 'Alveolar Bone Loss', 'Vitamin D', 'Phagocytosis', 'Diabetes Mellitus, Type 2', 'Calcium', 'Efferocytosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02156902477145195]
+Labels: ['Diabetes']
+Scores: [0.9883272051811218]
+Labels: ['Cancer']
+Scores: [0.0009384374716319144]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03700145334005356]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0758165642619133]
+Labels: ['Mental Health']
+Scores: [0.0008628462092019618]
+Labels: ['Diabetes type 1']
+Scores: [0.002571751130744815]
+Labels: ['Diabetes type 2']
+Scores: [0.7819743156433105]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729784
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Melanoma', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Denmark', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Neoplasm Staging', 'Adult', 'Sex Factors', 'Skin Neoplasms', 'Registries', 'Lymphatic Metastasis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030918380245566368]
+Labels: ['Diabetes']
+Scores: [0.7860679626464844]
+Labels: ['Cancer']
+Scores: [0.9944542050361633]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005247713415883482]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004009278491139412]
+Labels: ['Mental Health']
+Scores: [0.0003453399403952062]
+Labels: ['Diabetes type 1']
+Scores: [0.000508272903971374]
+Labels: ['Diabetes type 2']
+Scores: [0.9936800599098206]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729310
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Lectins', 'Male', 'Female', 'GPI-Linked Proteins', 'Middle Aged', 'Periodontitis', 'Cytokines', 'Tumor Necrosis Factor-alpha', 'Adult', 'Biomarkers', 'Cytokine TWEAK', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03672255203127861]
+Labels: ['Diabetes']
+Scores: [0.7284414768218994]
+Labels: ['Cancer']
+Scores: [0.05090566724538803]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019297199323773384]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09990379959344864]
+Labels: ['Mental Health']
+Scores: [0.00036113717942498624]
+Labels: ['Diabetes type 1']
+Scores: [0.0007769623771309853]
+Labels: ['Diabetes type 2']
+Scores: [0.8137788772583008]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729235
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Antioxidants', 'Plant Extracts', 'Animals', 'Hypoglycemic Agents', 'Adipogenesis', 'Mice', 'Adipocytes', 'Apoptosis', 'Asteraceae', '3T3-L1 Cells', 'alpha-Amylases', 'Cell Movement', 'Phenols', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.032039325684309006]
+Labels: ['Diabetes']
+Scores: [0.20414672791957855]
+Labels: ['Cancer']
+Scores: [0.006385446060448885]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022610455751419067]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010373162105679512]
+Labels: ['Mental Health']
+Scores: [0.0012897355481982231]
+Labels: ['Diabetes type 1']
+Scores: [0.004755382891744375]
+Labels: ['Diabetes type 2']
+Scores: [0.42650941014289856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39728692
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Docosahexaenoic Acids', 'Animals', 'Diabetic Retinopathy', 'Mice', 'Humans', 'Electroretinography', 'Retina', 'Tomography, Optical Coherence', 'Male', 'Middle Aged', 'Mice, Inbred C57BL', 'Female', 'Diabetes Mellitus, Experimental', 'Gas Chromatography-Mass Spectrometry', 'Real-Time Polymerase Chain Reaction', 'Diabetes Mellitus, Type 2', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03776130825281143]
+Labels: ['Diabetes']
+Scores: [0.8753387331962585]
+Labels: ['Cancer']
+Scores: [0.002350772498175502]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0070092095993459225]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013242573477327824]
+Labels: ['Mental Health']
+Scores: [0.00032834525336511433]
+Labels: ['Diabetes type 1']
+Scores: [0.09541928023099899]
+Labels: ['Diabetes type 2']
+Scores: [0.2759229242801666]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726656
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Israel', 'Female', 'Adolescent', 'Arabs', 'Cross-Sectional Studies', 'Jews', 'Polycystic Ovary Syndrome', 'Hypertension', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Pediatric Obesity', 'Prevalence', 'Male', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011310869827866554]
+Labels: ['Diabetes']
+Scores: [0.06541735678911209]
+Labels: ['Cancer']
+Scores: [0.004400089383125305]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011232552351430058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09219154715538025]
+Labels: ['Mental Health']
+Scores: [0.001888215309008956]
+Labels: ['Diabetes type 1']
+Scores: [0.007678574416786432]
+Labels: ['Diabetes type 2']
+Scores: [0.01685478165745735]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725431
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Prediabetic State', 'China', 'Diabetes Mellitus, Type 2', 'Randomized Controlled Trials as Topic', 'Prospective Studies', 'Single-Blind Method', 'Telemedicine', 'Multicenter Studies as Topic', 'Cost-Benefit Analysis', 'Male', 'Group Dynamics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027904115617275238]
+Labels: ['Diabetes']
+Scores: [0.15308131277561188]
+Labels: ['Cancer']
+Scores: [0.0011553869117051363]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005535837262868881]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013595330528914928]
+Labels: ['Mental Health']
+Scores: [0.0049965232610702515]
+Labels: ['Diabetes type 1']
+Scores: [0.06619901210069656]
+Labels: ['Diabetes type 2']
+Scores: [0.018843555822968483]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725366
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Cognitive Dysfunction', 'Rats', 'Gastrointestinal Microbiome', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley', 'Bile Acids and Salts', 'Hypoglycemic Agents', 'Insulin Resistance', 'Hippocampus', 'Maze Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0639563649892807]
+Labels: ['Diabetes']
+Scores: [0.9757601022720337]
+Labels: ['Cancer']
+Scores: [0.0020501858089119196]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013365313410758972]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008424295112490654]
+Labels: ['Mental Health']
+Scores: [0.0629090666770935]
+Labels: ['Diabetes type 1']
+Scores: [0.0011370639549568295]
+Labels: ['Diabetes type 2']
+Scores: [0.9630985856056213]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724976
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Colorectal Neoplasms', 'Mass Screening', 'Prostate-Specific Antigen', 'Chronic Disease', 'Male', 'Guideline Adherence', 'Prostatic Neoplasms', 'Diabetes Mellitus, Type 2', 'HIV Infections', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012931467033922672]
+Labels: ['Diabetes']
+Scores: [0.0006554607534781098]
+Labels: ['Cancer']
+Scores: [0.9022079110145569]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0028741059359163046]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002882088767364621]
+Labels: ['Mental Health']
+Scores: [0.00038775714347139]
+Labels: ['Diabetes type 1']
+Scores: [0.0005703925271518528]
+Labels: ['Diabetes type 2']
+Scores: [0.0005989315104670823]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723533
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Cognitive Dysfunction', 'Mice', 'Network Pharmacology', 'Molecular Docking Simulation', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Diabetes Mellitus, Experimental', 'Protein Interaction Maps', 'Hippocampus', 'Signal Transduction', 'Disease Models, Animal', 'Morris Water Maze Test']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01588536612689495]
+Labels: ['Diabetes']
+Scores: [0.9463627338409424]
+Labels: ['Cancer']
+Scores: [0.013736945576965809]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004023376852273941]
+Labels: ['Cardiovascular diseases']
+Scores: [0.017747631296515465]
+Labels: ['Mental Health']
+Scores: [0.012692389078438282]
+Labels: ['Diabetes type 1']
+Scores: [0.03488190099596977]
+Labels: ['Diabetes type 2']
+Scores: [0.46251821517944336]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722814
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Homocysteine', 'Male', 'Female', 'Middle Aged', 'Neural Conduction', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Aged', 'Risk Factors', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017546575516462326]
+Labels: ['Diabetes']
+Scores: [0.9877007603645325]
+Labels: ['Cancer']
+Scores: [0.0007025607046671212]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001524780411273241]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01612117327749729]
+Labels: ['Mental Health']
+Scores: [0.00037296986556611955]
+Labels: ['Diabetes type 1']
+Scores: [0.0009614833979867399]
+Labels: ['Diabetes type 2']
+Scores: [0.9903414845466614]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722811
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'COVID-19', 'Female', 'Male', 'Middle Aged', 'Risk Factors', 'Post-Acute COVID-19 Syndrome', 'Aged', 'Adult', 'Ukraine', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012604492716491222]
+Labels: ['Diabetes']
+Scores: [0.9775311350822449]
+Labels: ['Cancer']
+Scores: [0.002466141479089856]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3861866891384125]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4254162311553955]
+Labels: ['Mental Health']
+Scores: [0.0003763856366276741]
+Labels: ['Diabetes type 1']
+Scores: [0.0005988518823869526]
+Labels: ['Diabetes type 2']
+Scores: [0.9936409592628479]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721796
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Gestational Weight Gain', 'White People', 'Adult', 'Retrospective Studies', 'Pregnancy Outcome', 'Obesity', 'COVID-19', 'Pregnancy Complications', 'Black or African American', 'Health Status Disparities', 'Louisiana', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007830455899238586]
+Labels: ['Diabetes']
+Scores: [0.0006965987267903984]
+Labels: ['Cancer']
+Scores: [0.2567346394062042]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008852522005327046]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005749406758695841]
+Labels: ['Mental Health']
+Scores: [0.007784251123666763]
+Labels: ['Diabetes type 1']
+Scores: [0.0007258059922605753]
+Labels: ['Diabetes type 2']
+Scores: [0.0009380527189932764]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720906
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Testosterone', 'Middle Aged', 'Aged', 'Australia', 'Risk Factors', 'Glucose Tolerance Test', 'Glycated Hemoglobin', 'Prognosis', 'Blood Glucose', 'Glucose Intolerance', 'Life Style', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02142803929746151]
+Labels: ['Diabetes']
+Scores: [0.8998810648918152]
+Labels: ['Cancer']
+Scores: [0.00493932468816638]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004534950014203787]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04053729400038719]
+Labels: ['Mental Health']
+Scores: [0.0003881960001308471]
+Labels: ['Diabetes type 1']
+Scores: [0.003468290437012911]
+Labels: ['Diabetes type 2']
+Scores: [0.8493192195892334]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030433697625994682]
+Labels: ['Diabetes']
+Scores: [0.9587224125862122]
+Labels: ['Cancer']
+Scores: [0.0006781576666980982]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003355649532750249]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014373491518199444]
+Labels: ['Mental Health']
+Scores: [0.0005276590818539262]
+Labels: ['Diabetes type 1']
+Scores: [0.0773167610168457]
+Labels: ['Diabetes type 2']
+Scores: [0.1270284503698349]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029964080080389977]
+Labels: ['Diabetes']
+Scores: [0.1257442981004715]
+Labels: ['Cancer']
+Scores: [0.0010594866471365094]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001668886630795896]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011525533627718687]
+Labels: ['Mental Health']
+Scores: [0.0006375578232109547]
+Labels: ['Diabetes type 1']
+Scores: [0.026224471628665924]
+Labels: ['Diabetes type 2']
+Scores: [0.036599330604076385]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015742778778076172]
+Labels: ['Diabetes']
+Scores: [0.955714762210846]
+Labels: ['Cancer']
+Scores: [0.003169180126860738]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0023007362615317106]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9855311512947083]
+Labels: ['Mental Health']
+Scores: [0.00032998432288877666]
+Labels: ['Diabetes type 1']
+Scores: [0.0006788693135604262]
+Labels: ['Diabetes type 2']
+Scores: [0.991857647895813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1020742654800415]
+Labels: ['Diabetes']
+Scores: [0.9283081293106079]
+Labels: ['Cancer']
+Scores: [0.0016357310814782977]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10188747942447662]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1181010901927948]
+Labels: ['Mental Health']
+Scores: [0.0008810255094431341]
+Labels: ['Diabetes type 1']
+Scores: [0.055866893380880356]
+Labels: ['Diabetes type 2']
+Scores: [0.3218516409397125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720247
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Insulin Resistance', 'Bile Acids and Salts', 'Medicine, Chinese Traditional', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024184441193938255]
+Labels: ['Diabetes']
+Scores: [0.9860390424728394]
+Labels: ['Cancer']
+Scores: [0.006169039756059647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003812955692410469]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01682640239596367]
+Labels: ['Mental Health']
+Scores: [0.002006947761401534]
+Labels: ['Diabetes type 1']
+Scores: [0.0028399548027664423]
+Labels: ['Diabetes type 2']
+Scores: [0.9866849184036255]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720175
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glycemic Control', 'Diabetes Mellitus, Type 2', 'Health Education', 'Glycated Hemoglobin', 'Blood Glucose', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01436981838196516]
+Labels: ['Diabetes']
+Scores: [0.9582668542861938]
+Labels: ['Cancer']
+Scores: [0.0013240197440609336]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016130817821249366]
+Labels: ['Cardiovascular diseases']
+Scores: [0.022145379334688187]
+Labels: ['Mental Health']
+Scores: [0.0005235939752310514]
+Labels: ['Diabetes type 1']
+Scores: [0.0011463719420135021]
+Labels: ['Diabetes type 2']
+Scores: [0.8130908608436584]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720174
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Periapical Periodontitis', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Male', 'Female', 'Middle Aged', 'Root Canal Therapy', 'Adult', 'Romania', 'Tooth, Nonvital', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018853798508644104]
+Labels: ['Diabetes']
+Scores: [0.7078889608383179]
+Labels: ['Cancer']
+Scores: [0.001622612588107586]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010351912351325154]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001615899964235723]
+Labels: ['Mental Health']
+Scores: [0.0004642847052309662]
+Labels: ['Diabetes type 1']
+Scores: [0.0007896622992120683]
+Labels: ['Diabetes type 2']
+Scores: [0.9383792877197266]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719839
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'TNF-Related Apoptosis-Inducing Ligand', 'Diabetes Mellitus, Type 2', 'Periodontitis', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Gene Frequency', 'Genotype', 'Blood Glucose', 'Polymorphism, Genetic', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02234654314815998]
+Labels: ['Diabetes']
+Scores: [0.7279909253120422]
+Labels: ['Cancer']
+Scores: [0.007818739861249924]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005692416336387396]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01080477423965931]
+Labels: ['Mental Health']
+Scores: [0.00038409250555559993]
+Labels: ['Diabetes type 1']
+Scores: [0.0019560258369892836]
+Labels: ['Diabetes type 2']
+Scores: [0.7920825481414795]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719724
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Synbiotics', 'Double-Blind Method', 'Male', 'Middle Aged', 'Female', 'Probiotics', 'Blood Glucose', 'Gastrointestinal Microbiome', 'Glycated Hemoglobin', 'Bifidobacterium animalis', 'Insulin Resistance', 'Treatment Outcome', 'Insulin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019514301791787148]
+Labels: ['Diabetes']
+Scores: [0.9843364953994751]
+Labels: ['Cancer']
+Scores: [0.0008869057055562735]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0027147771324962378]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013733918778598309]
+Labels: ['Mental Health']
+Scores: [0.00029702563188038766]
+Labels: ['Diabetes type 1']
+Scores: [0.0007612881017848849]
+Labels: ['Diabetes type 2']
+Scores: [0.9741199016571045]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719658
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Acute Kidney Injury', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Contrast Media', 'Aged', 'Coronary Angiography', 'Propensity Score', 'Percutaneous Coronary Intervention', 'Creatinine', 'China', 'Incidence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02656201273202896]
+Labels: ['Diabetes']
+Scores: [0.9523520469665527]
+Labels: ['Cancer']
+Scores: [0.01199912466108799]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01211002841591835]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08465921878814697]
+Labels: ['Mental Health']
+Scores: [0.0003291768371127546]
+Labels: ['Diabetes type 1']
+Scores: [0.0012020551366731524]
+Labels: ['Diabetes type 2']
+Scores: [0.9505105018615723]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719583
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Liraglutide', 'Sodium-Glucose Transporter 2 Inhibitors', 'Network Meta-Analysis', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Treatment Outcome', 'Glucosides', 'Glycated Hemoglobin', 'Blood Glucose', 'Glucagon-Like Peptide-2 Receptor', 'Gastric Inhibitory Polypeptide', 'Tirzepatide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03423076122999191]
+Labels: ['Diabetes']
+Scores: [0.9698128700256348]
+Labels: ['Cancer']
+Scores: [0.0010696208337321877]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002347267000004649]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016156567260622978]
+Labels: ['Mental Health']
+Scores: [0.00039925568853504956]
+Labels: ['Diabetes type 1']
+Scores: [0.0012173315044492483]
+Labels: ['Diabetes type 2']
+Scores: [0.9723398089408875]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719404
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dipeptidyl-Peptidase IV Inhibitors', 'Male', 'Diabetes Mellitus, Type 2', 'Female', 'Middle Aged', 'Sodium-Glucose Transporter 2 Inhibitors', 'Retrospective Studies', 'Aged', 'Hong Kong', 'Treatment Outcome', 'Risk Factors', 'Risk Assessment', 'Myocardial Infarction', 'Thrombosis', 'Time Factors', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0398918054997921]
+Labels: ['Diabetes']
+Scores: [0.9180252552032471]
+Labels: ['Cancer']
+Scores: [0.001297482755035162]
+Labels: ['Chronic respiratory disease']
+Scores: [0.208029106259346]
+Labels: ['Cardiovascular diseases']
+Scores: [0.998799741268158]
+Labels: ['Mental Health']
+Scores: [0.0003267500433139503]
+Labels: ['Diabetes type 1']
+Scores: [0.0015424778684973717]
+Labels: ['Diabetes type 2']
+Scores: [0.9657246470451355]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719391
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Blood Glucose', 'Life Style', 'Exercise', 'Aged', 'Sleep', 'Hypoglycemic Agents', 'Follow-Up Studies', 'Precision Medicine', 'Adult', 'Biomarkers', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.039113905280828476]
+Labels: ['Diabetes']
+Scores: [0.9903921484947205]
+Labels: ['Cancer']
+Scores: [0.03575565293431282]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0072073666378855705]
+Labels: ['Cardiovascular diseases']
+Scores: [0.049183204770088196]
+Labels: ['Mental Health']
+Scores: [0.0007585348794236779]
+Labels: ['Diabetes type 1']
+Scores: [0.0017275047721341252]
+Labels: ['Diabetes type 2']
+Scores: [0.979157567024231]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719314
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Biomarkers', 'Black or African American', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glucose Clamp Technique', 'Glucose Tolerance Test', 'Incidence', 'Insulin', 'Insulin Resistance', 'Insulin Secretion', 'Parents', 'Prediabetic State', 'Prognosis', 'Prospective Studies', 'White']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04415149614214897]
+Labels: ['Diabetes']
+Scores: [0.9768997430801392]
+Labels: ['Cancer']
+Scores: [0.016695251688361168]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05995195358991623]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03608065843582153]
+Labels: ['Mental Health']
+Scores: [0.0008316788007505238]
+Labels: ['Diabetes type 1']
+Scores: [0.005402801558375359]
+Labels: ['Diabetes type 2']
+Scores: [0.9119183421134949]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719282
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Qualitative Research', 'Singapore', 'Telemedicine', 'Adult', 'Self Efficacy', 'Aged', 'Health Behavior', 'Asian People', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Blood Pressure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03375272452831268]
+Labels: ['Diabetes']
+Scores: [0.9583824872970581]
+Labels: ['Cancer']
+Scores: [0.0022004873026162386]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0069421217776834965]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012203140184283257]
+Labels: ['Mental Health']
+Scores: [0.007556196302175522]
+Labels: ['Diabetes type 1']
+Scores: [0.00047636317322030663]
+Labels: ['Diabetes type 2']
+Scores: [0.9469670653343201]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08454854786396027]
+Labels: ['Diabetes']
+Scores: [0.9963766932487488]
+Labels: ['Cancer']
+Scores: [0.0005690829711966217]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018194850999861956]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00790390558540821]
+Labels: ['Mental Health']
+Scores: [0.0005016063805669546]
+Labels: ['Diabetes type 1']
+Scores: [0.2622462213039398]
+Labels: ['Diabetes type 2']
+Scores: [0.11809463053941727]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04126400500535965]
+Labels: ['Diabetes']
+Scores: [0.9976604580879211]
+Labels: ['Cancer']
+Scores: [0.019944583997130394]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022549389395862818]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9880140423774719]
+Labels: ['Mental Health']
+Scores: [0.000301763677271083]
+Labels: ['Diabetes type 1']
+Scores: [0.0005450451862998307]
+Labels: ['Diabetes type 2']
+Scores: [0.9909506440162659]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719170
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide-1 Receptor', 'Body Composition', 'Network Meta-Analysis as Topic', 'Obesity', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Receptors, Gastrointestinal Hormone', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016422614455223083]
+Labels: ['Diabetes']
+Scores: [0.010410190559923649]
+Labels: ['Cancer']
+Scores: [0.02158348448574543]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01211248803883791]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019948624540120363]
+Labels: ['Mental Health']
+Scores: [0.000509577221237123]
+Labels: ['Diabetes type 1']
+Scores: [0.008998173289000988]
+Labels: ['Diabetes type 2']
+Scores: [0.010390657931566238]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719165
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin-Secreting Cells', 'Male', 'Glucagon-Like Peptides', 'Mice', 'Gastrointestinal Microbiome', 'Mice, Inbred C57BL', 'Diabetes Mellitus, Type 2', 'Signal Transduction', 'Diabetes Mellitus, Experimental', 'Methyltransferases', 'Diet, High-Fat', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016717558726668358]
+Labels: ['Diabetes']
+Scores: [0.9647381901741028]
+Labels: ['Cancer']
+Scores: [0.0006341682164929807]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007240160834044218]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012583063216879964]
+Labels: ['Mental Health']
+Scores: [0.0004019388579763472]
+Labels: ['Diabetes type 1']
+Scores: [0.0005132321966812015]
+Labels: ['Diabetes type 2']
+Scores: [0.9939281940460205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718468
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptides', 'Immunoglobulin Fc Fragments', 'Liver', 'Recombinant Fusion Proteins', 'Hypoglycemic Agents', 'Adult', 'Non-alcoholic Fatty Liver Disease', 'Aged', 'Glycated Hemoglobin', 'Blood Glucose', 'Cohort Studies', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013929822482168674]
+Labels: ['Diabetes']
+Scores: [0.9579015970230103]
+Labels: ['Cancer']
+Scores: [0.0011367384577170014]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000905596767552197]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0032247810158878565]
+Labels: ['Mental Health']
+Scores: [0.00036288140108808875]
+Labels: ['Diabetes type 1']
+Scores: [0.020362308248877525]
+Labels: ['Diabetes type 2']
+Scores: [0.0882801041007042]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718016
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Intra-Abdominal Fat', 'Subcutaneous Fat', 'Transcriptome', 'Gene Expression Profiling', 'Macrophages', 'Protein Interaction Maps']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0167199969291687]
+Labels: ['Diabetes']
+Scores: [0.9296277165412903]
+Labels: ['Cancer']
+Scores: [0.0012105426285415888]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007013313006609678]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027680022176355124]
+Labels: ['Mental Health']
+Scores: [0.001316753914579749]
+Labels: ['Diabetes type 1']
+Scores: [0.0018355202628299594]
+Labels: ['Diabetes type 2']
+Scores: [0.9043159484863281]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022592201828956604]
+Labels: ['Diabetes']
+Scores: [0.09221088886260986]
+Labels: ['Cancer']
+Scores: [0.0011359784984961152]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0030853066127747297]
+Labels: ['Cardiovascular diseases']
+Scores: [0.33597299456596375]
+Labels: ['Mental Health']
+Scores: [0.0004720000724773854]
+Labels: ['Diabetes type 1']
+Scores: [0.001418776111677289]
+Labels: ['Diabetes type 2']
+Scores: [0.41825956106185913]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717105
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Risk Factors', 'Gastrointestinal Diseases', 'Nomograms', 'Aged', 'Hypoglycemic Agents', 'Adult', 'Prognosis', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.045170292258262634]
+Labels: ['Diabetes']
+Scores: [0.02930997684597969]
+Labels: ['Cancer']
+Scores: [0.004556373227387667]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10828400403261185]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010144604602828622]
+Labels: ['Mental Health']
+Scores: [0.00032662201556377113]
+Labels: ['Diabetes type 1']
+Scores: [0.031362034380435944]
+Labels: ['Diabetes type 2']
+Scores: [0.2689174711704254]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716666
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Male', 'Female', 'Middle Aged', 'Latent Class Analysis', 'Prospective Studies', 'Aged', 'Exercise', 'Adult', 'Motivation', 'Singapore', 'Educational Status', 'Life Style', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04795240983366966]
+Labels: ['Diabetes']
+Scores: [0.9982599020004272]
+Labels: ['Cancer']
+Scores: [0.0012293322943150997]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015499595552682877]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30823269486427307]
+Labels: ['Mental Health']
+Scores: [0.00048663816414773464]
+Labels: ['Diabetes type 1']
+Scores: [0.001666542491875589]
+Labels: ['Diabetes type 2']
+Scores: [0.9849308133125305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716481
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin Resistance', 'Heat-Shock Response', 'Male', 'Diet, High-Fat', 'Mice, Inbred C57BL', 'HSP70 Heat-Shock Proteins', 'Disease Progression', 'Blood Glucose', 'Mice', 'Hot Temperature', 'Early Diagnosis', 'Diabetes Mellitus, Type 2', 'Obesity', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013825323432683945]
+Labels: ['Diabetes']
+Scores: [0.2687937617301941]
+Labels: ['Cancer']
+Scores: [0.0015166933881118894]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008124833926558495]
+Labels: ['Cardiovascular diseases']
+Scores: [0.21591255068778992]
+Labels: ['Mental Health']
+Scores: [0.0007720826542936265]
+Labels: ['Diabetes type 1']
+Scores: [0.011063845828175545]
+Labels: ['Diabetes type 2']
+Scores: [0.0661943182349205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 2', 'Retinal Degeneration', 'Mice, Inbred C57BL', 'Male', 'Diabetic Retinopathy', 'Retina']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02417706698179245]
+Labels: ['Diabetes']
+Scores: [0.99429851770401]
+Labels: ['Cancer']
+Scores: [0.005349744576960802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024432562291622162]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03722565248608589]
+Labels: ['Mental Health']
+Scores: [0.002854033838957548]
+Labels: ['Diabetes type 1']
+Scores: [0.0012782813282683492]
+Labels: ['Diabetes type 2']
+Scores: [0.9919238090515137]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716328
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dementia', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Network Meta-Analysis', 'Observational Studies as Topic', 'Randomized Controlled Trials as Topic', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03542178496718407]
+Labels: ['Diabetes']
+Scores: [0.2940133512020111]
+Labels: ['Cancer']
+Scores: [0.005649917759001255]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007514387834817171]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002534574829041958]
+Labels: ['Mental Health']
+Scores: [0.056215766817331314]
+Labels: ['Diabetes type 1']
+Scores: [0.002734851324930787]
+Labels: ['Diabetes type 2']
+Scores: [0.8113311529159546]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02422628365457058]
+Labels: ['Diabetes']
+Scores: [0.12865129113197327]
+Labels: ['Cancer']
+Scores: [0.000845586764626205]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018397315870970488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008803739212453365]
+Labels: ['Mental Health']
+Scores: [0.00047849115799181163]
+Labels: ['Diabetes type 1']
+Scores: [0.04429197311401367]
+Labels: ['Diabetes type 2']
+Scores: [0.054742831736803055]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02312869019806385]
+Labels: ['Diabetes']
+Scores: [0.05632016435265541]
+Labels: ['Cancer']
+Scores: [0.0022023851051926613]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0067903450690209866]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9928326606750488]
+Labels: ['Mental Health']
+Scores: [0.0004921265644952655]
+Labels: ['Diabetes type 1']
+Scores: [0.011685329489409924]
+Labels: ['Diabetes type 2']
+Scores: [0.024455085396766663]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716230
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Gangrene', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Acupuncture, Ear', 'Wound Healing', 'Treatment Outcome', 'Amputation, Surgical', 'Acupuncture Points', 'Magnetic Field Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0762094035744667]
+Labels: ['Diabetes']
+Scores: [0.9761086702346802]
+Labels: ['Cancer']
+Scores: [0.015465541742742062]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026477498933672905]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4523024559020996]
+Labels: ['Mental Health']
+Scores: [0.0008684996282681823]
+Labels: ['Diabetes type 1']
+Scores: [0.2187669724225998]
+Labels: ['Diabetes type 2']
+Scores: [0.4685962200164795]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716081
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ferroptosis', 'Gene Regulatory Networks', 'Genetic Predisposition to Disease', 'Genomics', 'Male', 'Diabetes Complications', 'Female', 'Gene Expression Profiling', 'Polymorphism, Single Nucleotide', 'Computational Biology', 'Genetic Association Studies', 'Multiomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03116310015320778]
+Labels: ['Diabetes']
+Scores: [0.9766443371772766]
+Labels: ['Cancer']
+Scores: [0.0019644619897007942]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014101937413215637]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021550389006733894]
+Labels: ['Mental Health']
+Scores: [0.0004301585431676358]
+Labels: ['Diabetes type 1']
+Scores: [0.0019097570329904556]
+Labels: ['Diabetes type 2']
+Scores: [0.9910310506820679]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716056
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Bayes Theorem', 'Diabetes Mellitus, Type 2', 'Humans', 'Linear Models', 'Linkage Disequilibrium', 'Quantitative Trait Loci', 'Phenotype', 'Computer Simulation', 'Models, Genetic', 'Genome-Wide Association Study']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03488922491669655]
+Labels: ['Diabetes']
+Scores: [0.009385956451296806]
+Labels: ['Cancer']
+Scores: [0.028441421687602997]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018950890749692917]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012383585795760155]
+Labels: ['Mental Health']
+Scores: [0.0076157753355801105]
+Labels: ['Diabetes type 1']
+Scores: [0.005435636732727289]
+Labels: ['Diabetes type 2']
+Scores: [0.007250236812978983]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715944
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bariatric Surgery', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Glycemic Control', 'Hypoglycemic Agents', 'Obesity, Morbid', 'Recurrence', 'Remission Induction', 'Retrospective Studies', 'Treatment Outcome', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017495842650532722]
+Labels: ['Diabetes']
+Scores: [0.9805429577827454]
+Labels: ['Cancer']
+Scores: [0.0008831505547277629]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022579800337553024]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8787442445755005]
+Labels: ['Mental Health']
+Scores: [0.000719721254426986]
+Labels: ['Diabetes type 1']
+Scores: [0.03188792243599892]
+Labels: ['Diabetes type 2']
+Scores: [0.7925463318824768]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016479797661304474]
+Labels: ['Diabetes']
+Scores: [0.042274732142686844]
+Labels: ['Cancer']
+Scores: [0.006889083422720432]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0038694103714078665]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012004860676825047]
+Labels: ['Mental Health']
+Scores: [0.0020881672389805317]
+Labels: ['Diabetes type 1']
+Scores: [0.01737595908343792]
+Labels: ['Diabetes type 2']
+Scores: [0.017778806388378143]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715135
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Sulfonylurea Compounds', 'Iraq', 'Sulfonylurea Receptors', 'Case-Control Studies', 'Polymorphism, Single Nucleotide', 'Middle Aged', 'Hypoglycemic Agents', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019429843872785568]
+Labels: ['Diabetes']
+Scores: [0.945633053779602]
+Labels: ['Cancer']
+Scores: [0.004095516633242369]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005103274714201689]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007982619106769562]
+Labels: ['Mental Health']
+Scores: [0.00030199906905181706]
+Labels: ['Diabetes type 1']
+Scores: [0.0003691818274091929]
+Labels: ['Diabetes type 2']
+Scores: [0.9236952662467957]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39713052
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Fatty Acids, Nonesterified', 'Coronary Disease', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042381491512060165]
+Labels: ['Diabetes']
+Scores: [0.983967125415802]
+Labels: ['Cancer']
+Scores: [0.009312484413385391]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0043957955203950405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9843295812606812]
+Labels: ['Mental Health']
+Scores: [0.0028227888979017735]
+Labels: ['Diabetes type 1']
+Scores: [0.002727183746173978]
+Labels: ['Diabetes type 2']
+Scores: [0.9629865884780884]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710901
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026035364717245102]
+Labels: ['Diabetes']
+Scores: [0.886878252029419]
+Labels: ['Cancer']
+Scores: [0.0018539383308961987]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010568133555352688]
+Labels: ['Cardiovascular diseases']
+Scores: [0.683255672454834]
+Labels: ['Mental Health']
+Scores: [0.00041057475027628243]
+Labels: ['Diabetes type 1']
+Scores: [0.056951943784952164]
+Labels: ['Diabetes type 2']
+Scores: [0.8220206499099731]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710882
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Bone Density', 'Glucagon-Like Peptide-1 Receptor', 'Absorptiometry, Photon', 'Randomized Controlled Trials as Topic', 'Body Composition', 'Diabetes Mellitus, Type 2', 'Bayes Theorem', 'Female', 'Hypoglycemic Agents', 'Male', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029739895835518837]
+Labels: ['Diabetes']
+Scores: [0.0031242703553289175]
+Labels: ['Cancer']
+Scores: [0.00853623729199171]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005804174579679966]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012737185694277287]
+Labels: ['Mental Health']
+Scores: [0.0012575178407132626]
+Labels: ['Diabetes type 1']
+Scores: [0.005685206037014723]
+Labels: ['Diabetes type 2']
+Scores: [0.010998624376952648]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710722
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Middle Aged', 'Seasons', 'Aged', 'Metabolic Diseases', 'Calcifediol', 'Prospective Studies', 'Adult', 'Renal Insufficiency, Chronic', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01773029752075672]
+Labels: ['Diabetes']
+Scores: [0.9533717036247253]
+Labels: ['Cancer']
+Scores: [0.004555226769298315]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010781286284327507]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008338161744177341]
+Labels: ['Mental Health']
+Scores: [0.0005687405355274677]
+Labels: ['Diabetes type 1']
+Scores: [0.005474158097058535]
+Labels: ['Diabetes type 2']
+Scores: [0.9709027409553528]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710638
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Risk Factors', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Young Adult', 'Diabetes Mellitus, Type 2', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02111019380390644]
+Labels: ['Diabetes']
+Scores: [0.9663971662521362]
+Labels: ['Cancer']
+Scores: [0.002677041105926037]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00066239113220945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007976065971888602]
+Labels: ['Mental Health']
+Scores: [0.0003095181891694665]
+Labels: ['Diabetes type 1']
+Scores: [0.08255339413881302]
+Labels: ['Diabetes type 2']
+Scores: [0.17028725147247314]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031957246363162994]
+Labels: ['Diabetes']
+Scores: [0.9985264539718628]
+Labels: ['Cancer']
+Scores: [0.0010303579038009048]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007328941486775875]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023573223501443863]
+Labels: ['Mental Health']
+Scores: [0.000508429657202214]
+Labels: ['Diabetes type 1']
+Scores: [0.04105237498879433]
+Labels: ['Diabetes type 2']
+Scores: [0.4991016685962677]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710013
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Case-Control Studies', 'Female', 'Male', 'Adolescent', 'Pediatric Obesity', 'Feces', 'Diabetes Mellitus, Type 2', 'Birth Cohort', 'Bacteroides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023468809202313423]
+Labels: ['Diabetes']
+Scores: [0.007111201528459787]
+Labels: ['Cancer']
+Scores: [0.006384536623954773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002793111838400364]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009429397992789745]
+Labels: ['Mental Health']
+Scores: [0.0007787389331497252]
+Labels: ['Diabetes type 1']
+Scores: [0.0049476888962090015]
+Labels: ['Diabetes type 2']
+Scores: [0.010207608342170715]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710002
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Genome-Wide Association Study', 'Frailty', 'Genetic Pleiotropy', 'Muscle, Skeletal', 'Comorbidity', 'Polymorphism, Single Nucleotide', 'Female', 'Male', 'Phenotype', 'Aged', 'Genetic Predisposition to Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021810393780469894]
+Labels: ['Diabetes']
+Scores: [0.9855532646179199]
+Labels: ['Cancer']
+Scores: [0.0071097491309046745]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009622512385249138]
+Labels: ['Cardiovascular diseases']
+Scores: [0.025271877646446228]
+Labels: ['Mental Health']
+Scores: [0.00949954055249691]
+Labels: ['Diabetes type 1']
+Scores: [0.0015980844618752599]
+Labels: ['Diabetes type 2']
+Scores: [0.9903075695037842]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Cognition', 'Cognitive Dysfunction', 'Diabetes Mellitus, Type 2', 'Dipeptidyl-Peptidase IV Inhibitors', 'Drug Therapy, Combination', 'Hypoglycemic Agents', 'Metabolomics', 'Metformin', 'Prospective Studies', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008705537766218185]
+Labels: ['Diabetes']
+Scores: [0.9379914999008179]
+Labels: ['Cancer']
+Scores: [0.0010938314953818917]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014292921405285597]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008164024911820889]
+Labels: ['Mental Health']
+Scores: [0.016426775604486465]
+Labels: ['Diabetes type 1']
+Scores: [0.0019559948705136776]
+Labels: ['Diabetes type 2']
+Scores: [0.9315738677978516]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709924
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'Diet, High-Fat', 'Male', 'Kidney', 'Diabetic Nephropathies', 'Gastrointestinal Microbiome', 'Dysbiosis', 'Isothiocyanates', 'Humans', 'Mice, Inbred C57BL', 'Protective Agents', 'Blood Glucose', 'Streptozocin', 'Sulfoxides', 'Diabetes Mellitus, Type 2', 'Raphanus', 'Oxidative Stress', 'Bacteria', 'Superoxide Dismutase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023457486182451248]
+Labels: ['Diabetes']
+Scores: [0.5701138377189636]
+Labels: ['Cancer']
+Scores: [0.0005661423783749342]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004233142826706171]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0025536403991281986]
+Labels: ['Mental Health']
+Scores: [0.0006242654635570943]
+Labels: ['Diabetes type 1']
+Scores: [0.017171025276184082]
+Labels: ['Diabetes type 2']
+Scores: [0.8506340980529785]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023732658475637436]
+Labels: ['Diabetes']
+Scores: [0.0003223072271794081]
+Labels: ['Cancer']
+Scores: [0.9951463341712952]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00097589788492769]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9357049465179443]
+Labels: ['Mental Health']
+Scores: [0.00029059810913167894]
+Labels: ['Diabetes type 1']
+Scores: [0.0002995022223331034]
+Labels: ['Diabetes type 2']
+Scores: [0.0003144939837511629]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709519
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Polycystic Ovary Syndrome', 'Female', 'MicroRNAs', 'Biomarkers', 'Metabolic Diseases', 'Insulin Resistance', 'Non-alcoholic Fatty Liver Disease', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04531232267618179]
+Labels: ['Diabetes']
+Scores: [0.6422260403633118]
+Labels: ['Cancer']
+Scores: [0.4441310465335846]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005394854582846165]
+Labels: ['Cardiovascular diseases']
+Scores: [0.032668985426425934]
+Labels: ['Mental Health']
+Scores: [0.004475051071494818]
+Labels: ['Diabetes type 1']
+Scores: [0.010732530616223812]
+Labels: ['Diabetes type 2']
+Scores: [0.2605181336402893]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018551817163825035]
+Labels: ['Diabetes']
+Scores: [0.9929063320159912]
+Labels: ['Cancer']
+Scores: [0.021924136206507683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001972062513232231]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9975666403770447]
+Labels: ['Mental Health']
+Scores: [0.0004300057771615684]
+Labels: ['Diabetes type 1']
+Scores: [0.0011175874387845397]
+Labels: ['Diabetes type 2']
+Scores: [0.9939095377922058]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709342
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Aged', 'Blood Glucose', 'Chronic Pain', 'Middle Aged', 'Pain Measurement', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014654862694442272]
+Labels: ['Diabetes']
+Scores: [0.9789392948150635]
+Labels: ['Cancer']
+Scores: [0.002203988144174218]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013518381863832474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09513575583696365]
+Labels: ['Mental Health']
+Scores: [0.00038924190448597074]
+Labels: ['Diabetes type 1']
+Scores: [0.00033839562092907727]
+Labels: ['Diabetes type 2']
+Scores: [0.9897928237915039]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015455805696547031]
+Labels: ['Diabetes']
+Scores: [0.025056326761841774]
+Labels: ['Cancer']
+Scores: [0.01855114847421646]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019988050684332848]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9535088539123535]
+Labels: ['Mental Health']
+Scores: [0.0007151113823056221]
+Labels: ['Diabetes type 1']
+Scores: [0.010689752176404]
+Labels: ['Diabetes type 2']
+Scores: [0.01782531477510929]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+Time to classify all articles: 5721.761962413788 seconds
+Result confusion matrix: [[484, 204], [485, 5227]]
+True Positive Rate (TPR): 0.49948400412796695
+True Negative Rate (TNR): 0.9624378567482968
+Precision: 0.7034883720930233
diff --git a/model/results/zero_shot/v1/MoritzLaurer-deberta_v3_base_zeroshot_v1_1_all_33.txt b/model/results/zero_shot/v1/MoritzLaurer-deberta_v3_base_zeroshot_v1_1_all_33.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4785bb3950931f4c9d5557570b1ac123ff8c58ab
--- /dev/null
+++ b/model/results/zero_shot/v1/MoritzLaurer-deberta_v3_base_zeroshot_v1_1_all_33.txt
@@ -0,0 +1,20009 @@
+---------------------------------
+MODEL: MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33
+TRESHOLD: 0.7
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999652624130249]
+Labels: ['Diabetes']
+Scores: [0.0003766651498153806]
+Labels: ['Cancer']
+Scores: [0.0017557796090841293]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03842957690358162]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8915325403213501]
+Labels: ['Mental Health']
+Scores: [0.005773814860731363]
+Labels: ['Diabetes type 1']
+Scores: [0.00030227258685044944]
+Labels: ['Diabetes type 2']
+Scores: [0.00029247580096125603]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737504
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Stem Cell Transplantation', 'Cell- and Tissue-Based Therapy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007128527853637934]
+Labels: ['Diabetes']
+Scores: [9.867748303804547e-05]
+Labels: ['Cancer']
+Scores: [0.04337237775325775]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002534054801799357]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013063917867839336]
+Labels: ['Mental Health']
+Scores: [6.3661253079772e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000246775132836774]
+Labels: ['Diabetes type 2']
+Scores: [0.00019068049732595682]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736607
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors', 'Employment', 'Socioeconomic Factors', 'Poverty', 'Universal Health Insurance', 'Cost of Illness']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9997672438621521]
+Labels: ['Diabetes']
+Scores: [0.0013962789671495557]
+Labels: ['Cancer']
+Scores: [0.01731843501329422]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06233891844749451]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9985337853431702]
+Labels: ['Mental Health']
+Scores: [0.0008261955226771533]
+Labels: ['Diabetes type 1']
+Scores: [0.0004802461189683527]
+Labels: ['Diabetes type 2']
+Scores: [0.003613827284425497]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732655
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Machine Learning', 'Bias', 'Population Health', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9979342222213745]
+Labels: ['Diabetes']
+Scores: [0.005165692884474993]
+Labels: ['Cancer']
+Scores: [0.03107023425400257]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013972032815217972]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9939824342727661]
+Labels: ['Mental Health']
+Scores: [0.0002787563716992736]
+Labels: ['Diabetes type 1']
+Scores: [0.0014630701625719666]
+Labels: ['Diabetes type 2']
+Scores: [0.004517215304076672]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731009
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9945284128189087]
+Labels: ['Diabetes']
+Scores: [8.015283674467355e-05]
+Labels: ['Cancer']
+Scores: [0.00011606616317294538]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000200506197870709]
+Labels: ['Cardiovascular diseases']
+Scores: [0.875789999961853]
+Labels: ['Mental Health']
+Scores: [0.0004287014889996499]
+Labels: ['Diabetes type 1']
+Scores: [8.252426778199151e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.579801553627476e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725416
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'New Zealand', 'Cross-Sectional Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Adult', 'Comorbidity', 'Censuses', 'Adolescent', 'Young Adult', 'Aged, 80 and over', 'Prevalence', 'Child', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999541163444519]
+Labels: ['Diabetes']
+Scores: [0.001843622070737183]
+Labels: ['Cancer']
+Scores: [0.006298352964222431]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003869512816891074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8066495060920715]
+Labels: ['Mental Health']
+Scores: [0.0014834827743470669]
+Labels: ['Diabetes type 1']
+Scores: [0.0017266897484660149]
+Labels: ['Diabetes type 2']
+Scores: [0.001694057835265994]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722627
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9780988693237305]
+Labels: ['Diabetes']
+Scores: [0.6514787673950195]
+Labels: ['Cancer']
+Scores: [0.09800507873296738]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020674385130405426]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9775447845458984]
+Labels: ['Mental Health']
+Scores: [0.0004873954167123884]
+Labels: ['Diabetes type 1']
+Scores: [0.000517809297889471]
+Labels: ['Diabetes type 2']
+Scores: [0.9898896217346191]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709790
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['NF-E2-Related Factor 2', 'Humans', 'Animals', 'Noncommunicable Diseases', 'Oxidative Stress', 'Reactive Oxygen Species', 'Oxidation-Reduction', 'Disease Models, Animal', 'Inflammation', 'Gene Expression Regulation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993891716003418]
+Labels: ['Diabetes']
+Scores: [0.00041350338142365217]
+Labels: ['Cancer']
+Scores: [0.000802018097601831]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0338829904794693]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00652665551751852]
+Labels: ['Mental Health']
+Scores: [7.211628690129146e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0005674533313140273]
+Labels: ['Diabetes type 2']
+Scores: [0.0007305228500626981]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702198
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'India', 'Middle Aged', 'Aged, 80 and over', 'Noncommunicable Diseases', 'Cost of Illness', 'Disability-Adjusted Life Years', 'Sex Factors', 'Age Factors', 'Global Burden of Disease', 'Wounds and Injuries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09790779650211334]
+Labels: ['Diabetes']
+Scores: [0.0001009720508591272]
+Labels: ['Cancer']
+Scores: [0.00010883634240599349]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014909209858160466]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001317282731179148]
+Labels: ['Mental Health']
+Scores: [0.0001915599568746984]
+Labels: ['Diabetes type 1']
+Scores: [0.00026641867589205503]
+Labels: ['Diabetes type 2']
+Scores: [0.0002563541056588292]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699459
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Brazil', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Chronic Disease', 'Noncommunicable Diseases', 'Prevalence', 'Health Surveys', 'Young Adult', 'Adolescent', 'Sex Distribution', 'Socioeconomic Factors', 'Cost of Illness', 'Multimorbidity', 'Sociodemographic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9992966055870056]
+Labels: ['Diabetes']
+Scores: [9.439297718927264e-05]
+Labels: ['Cancer']
+Scores: [0.00018276242190040648]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00040230879676528275]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006556366570293903]
+Labels: ['Mental Health']
+Scores: [0.0003865730541292578]
+Labels: ['Diabetes type 1']
+Scores: [0.00018226933025289327]
+Labels: ['Diabetes type 2']
+Scores: [0.00016819707525428385]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697299
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Multimorbidity', 'Noncommunicable Diseases', 'Health Expenditures', 'Prevalence', 'Aged', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999503493309021]
+Labels: ['Diabetes']
+Scores: [0.006424197927117348]
+Labels: ['Cancer']
+Scores: [0.0005926383309997618]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00033344741677865386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027803494594991207]
+Labels: ['Mental Health']
+Scores: [0.0006215621251612902]
+Labels: ['Diabetes type 1']
+Scores: [0.0007064963574521244]
+Labels: ['Diabetes type 2']
+Scores: [0.0012704521650448442]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696316
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Thailand', 'Humans', 'Noncommunicable Diseases', 'Stakeholder Participation', 'Health Policy', 'Sustainable Development', 'Intersectoral Collaboration', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9995607733726501]
+Labels: ['Diabetes']
+Scores: [0.0003646516124717891]
+Labels: ['Cancer']
+Scores: [0.0003078176232520491]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02073277346789837]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9931038618087769]
+Labels: ['Mental Health']
+Scores: [0.002968363929539919]
+Labels: ['Diabetes type 1']
+Scores: [0.0005844360566698015]
+Labels: ['Diabetes type 2']
+Scores: [0.0006307931034825742]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696309
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9979678988456726]
+Labels: ['Diabetes']
+Scores: [0.999595046043396]
+Labels: ['Cancer']
+Scores: [6.293602928053588e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.652679439866915e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004738308023661375]
+Labels: ['Mental Health']
+Scores: [8.205934864236042e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0004917957703582942]
+Labels: ['Diabetes type 2']
+Scores: [0.0012577935121953487]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999452531337738]
+Labels: ['Diabetes']
+Scores: [0.0001948616118170321]
+Labels: ['Cancer']
+Scores: [0.001308285165578127]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004578361986204982]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1589575707912445]
+Labels: ['Mental Health']
+Scores: [0.0810834988951683]
+Labels: ['Diabetes type 1']
+Scores: [0.0002497124078217894]
+Labels: ['Diabetes type 2']
+Scores: [0.0002553293888922781]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693027
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9996267557144165]
+Labels: ['Diabetes']
+Scores: [0.010632711462676525]
+Labels: ['Cancer']
+Scores: [0.37732407450675964]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1881471574306488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.991850733757019]
+Labels: ['Mental Health']
+Scores: [0.00033911553327925503]
+Labels: ['Diabetes type 1']
+Scores: [0.004630406852811575]
+Labels: ['Diabetes type 2']
+Scores: [0.0012504378100857139]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683555
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Female', 'Italy', 'Exercise', 'Feeding Behavior', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Knowledge, Attitudes, Practice', 'Young Adult', 'Child', 'Adolescent Behavior', 'Surveys and Questionnaires', 'Health Risk Behaviors', 'Risk-Taking', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9928096532821655]
+Labels: ['Diabetes']
+Scores: [5.499549661180936e-05]
+Labels: ['Cancer']
+Scores: [6.617176404688507e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.0001930503640324e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013799250882584602]
+Labels: ['Mental Health']
+Scores: [0.004012622870504856]
+Labels: ['Diabetes type 1']
+Scores: [8.329163392772898e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.314188744407147e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9842207431793213]
+Labels: ['Diabetes']
+Scores: [0.00010987419955199584]
+Labels: ['Cancer']
+Scores: [0.00014814654423389584]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022615076159127057]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0035557597875595093]
+Labels: ['Mental Health']
+Scores: [0.000559690990485251]
+Labels: ['Diabetes type 1']
+Scores: [0.00019449260435067117]
+Labels: ['Diabetes type 2']
+Scores: [0.00023327305098064244]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9988853931427002]
+Labels: ['Diabetes']
+Scores: [8.663508197059855e-05]
+Labels: ['Cancer']
+Scores: [0.00013745394244324416]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00696399062871933]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00025514772278256714]
+Labels: ['Mental Health']
+Scores: [0.00023314975260291249]
+Labels: ['Diabetes type 1']
+Scores: [5.706929005100392e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.8168796385871246e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9984720945358276]
+Labels: ['Diabetes']
+Scores: [0.00013222436245996505]
+Labels: ['Cancer']
+Scores: [0.00024378858506679535]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013778846187051386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012100584572181106]
+Labels: ['Mental Health']
+Scores: [0.000284460315015167]
+Labels: ['Diabetes type 1']
+Scores: [0.0002443031407892704]
+Labels: ['Diabetes type 2']
+Scores: [0.00029387391987256706]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9996035695075989]
+Labels: ['Diabetes']
+Scores: [0.0004495749017223716]
+Labels: ['Cancer']
+Scores: [0.004784161224961281]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006563792121596634]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9326867461204529]
+Labels: ['Mental Health']
+Scores: [0.00019999312644358724]
+Labels: ['Diabetes type 1']
+Scores: [0.0002143489255104214]
+Labels: ['Diabetes type 2']
+Scores: [0.00027629343094304204]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658798
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Translational Research, Biomedical', 'Humans', 'Ethiopia', 'Capacity Building', 'Decision Making', 'Research Personnel', 'Public Health', 'Malawi', 'Uganda', 'Noncommunicable Diseases', 'Cooperative Behavior', 'South Africa', 'Delivery of Health Care', 'Africa', 'Rwanda', 'Administrative Personnel', 'Focus Groups', 'Surveys and Questionnaires', 'Evidence-Based Practice', 'Qualitative Research', 'Health Policy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0002589526411611587]
+Labels: ['Diabetes']
+Scores: [7.499272032873705e-05]
+Labels: ['Cancer']
+Scores: [6.177539034979418e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.989521014271304e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.582445399137214e-05]
+Labels: ['Mental Health']
+Scores: [0.00020157161634415388]
+Labels: ['Diabetes type 1']
+Scores: [0.0002138076233677566]
+Labels: ['Diabetes type 2']
+Scores: [0.0002021451509790495]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39655600
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'White People', 'Female', 'Male', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Risk Factors', 'Black People', 'Africa South of the Sahara', 'Europe', 'Renal Insufficiency, Chronic', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9974937438964844]
+Labels: ['Diabetes']
+Scores: [9.099196176975965e-05]
+Labels: ['Cancer']
+Scores: [0.00011760108463931829]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004330319061409682]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9759533405303955]
+Labels: ['Mental Health']
+Scores: [0.0001519728102721274]
+Labels: ['Diabetes type 1']
+Scores: [0.0001070801226887852]
+Labels: ['Diabetes type 2']
+Scores: [0.0001227601751452312]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653570
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Medication Adherence', 'Thailand', 'Islam', 'Middle Aged', 'Noncommunicable Diseases', 'Rural Population', 'Adult', 'Focus Groups', 'Qualitative Research', 'Aged', 'Health Knowledge, Attitudes, Practice', 'Southeast Asian People', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9991292953491211]
+Labels: ['Diabetes']
+Scores: [0.00014335231389850378]
+Labels: ['Cancer']
+Scores: [0.0002273565041832626]
+Labels: ['Chronic respiratory disease']
+Scores: [7.422151247737929e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002432505862088874]
+Labels: ['Mental Health']
+Scores: [0.0013683028519153595]
+Labels: ['Diabetes type 1']
+Scores: [9.034303366206586e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00011922282283194363]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39653567
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Developing Countries', 'Noncommunicable Diseases', 'Research Design', 'Stakeholder Participation', 'Implementation Science', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9995679259300232]
+Labels: ['Diabetes']
+Scores: [0.000327651941915974]
+Labels: ['Cancer']
+Scores: [0.000594338693190366]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000692123721819371]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07834471762180328]
+Labels: ['Mental Health']
+Scores: [0.0002700921904761344]
+Labels: ['Diabetes type 1']
+Scores: [0.0009123657364398241]
+Labels: ['Diabetes type 2']
+Scores: [0.002118905773386359]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39645277
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Chronic Disease', 'Diet, Western', 'Gastrointestinal Microbiome', 'Inflammation', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9994649291038513]
+Labels: ['Diabetes']
+Scores: [0.00047918473137542605]
+Labels: ['Cancer']
+Scores: [0.00028750847559422255]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008395324693992734]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017843864625319839]
+Labels: ['Mental Health']
+Scores: [0.00012775723007507622]
+Labels: ['Diabetes type 1']
+Scores: [0.0003351596533320844]
+Labels: ['Diabetes type 2']
+Scores: [0.00030437682289630175]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644320
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delivery of Health Care', 'Russia', 'Primary Health Care', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1430431604385376]
+Labels: ['Diabetes']
+Scores: [8.594121754867956e-05]
+Labels: ['Cancer']
+Scores: [0.00015759609232190996]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011881350656040013]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004814350395463407]
+Labels: ['Mental Health']
+Scores: [0.0001605368743184954]
+Labels: ['Diabetes type 1']
+Scores: [0.0001226855965796858]
+Labels: ['Diabetes type 2']
+Scores: [0.00012080746819265187]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644303
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Exercise', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9995281100273132]
+Labels: ['Diabetes']
+Scores: [0.9940983653068542]
+Labels: ['Cancer']
+Scores: [0.00047939526848495007]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004888986004516482]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9961473345756531]
+Labels: ['Mental Health']
+Scores: [0.0037437421269714832]
+Labels: ['Diabetes type 1']
+Scores: [0.0014930495526641607]
+Labels: ['Diabetes type 2']
+Scores: [0.9983633756637573]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39632114
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delphi Technique', 'Precision Medicine', 'Noncommunicable Diseases', 'Consensus', 'Female', 'Australia', 'Pregnancy', 'Adult', 'Male', 'Mass Screening', 'Middle Aged', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9990885853767395]
+Labels: ['Diabetes']
+Scores: [0.0013896015007048845]
+Labels: ['Cancer']
+Scores: [0.0034894649870693684]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004710604844149202]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9826436042785645]
+Labels: ['Mental Health']
+Scores: [0.0003215823380742222]
+Labels: ['Diabetes type 1']
+Scores: [0.00039237874443642795]
+Labels: ['Diabetes type 2']
+Scores: [0.00034740689443424344]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625743
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Surveys and Questionnaires', 'Reproducibility of Results', 'Multicenter Studies as Topic', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9878873229026794]
+Labels: ['Diabetes']
+Scores: [0.00022458794410340488]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0002844950358849019]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009393328800797462]
+Labels: ['Mental Health']
+Scores: [0.014545940794050694]
+Labels: ['Diabetes type 1']
+Scores: [0.0002808808640111238]
+Labels: ['Diabetes type 2']
+Scores: [0.00018852986977435648]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622542
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Kenya', 'Food Insecurity', 'Male', 'Female', 'HIV Infections', 'Adult', 'Health Services Accessibility', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Middle Aged', 'Comorbidity', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9916867613792419]
+Labels: ['Diabetes']
+Scores: [0.0003348013269715011]
+Labels: ['Cancer']
+Scores: [0.0003494122647680342]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008414061740040779]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00718573248013854]
+Labels: ['Mental Health']
+Scores: [0.0005182109889574349]
+Labels: ['Diabetes type 1']
+Scores: [0.000293671153485775]
+Labels: ['Diabetes type 2']
+Scores: [0.0003264198894612491]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39613439
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Systematic Reviews as Topic', 'Sedentary Behavior', 'Meta-Analysis as Topic', 'Prevalence', 'Risk Factors', 'Exercise', 'Adult', 'Africa, Eastern', 'Research Design', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7619835734367371]
+Labels: ['Diabetes']
+Scores: [8.097509271465242e-05]
+Labels: ['Cancer']
+Scores: [4.3348623876227066e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.740781176020391e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005649677477777004]
+Labels: ['Mental Health']
+Scores: [0.00012069549120496958]
+Labels: ['Diabetes type 1']
+Scores: [9.101882460527122e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00010375038255006075]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39602608
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Mexico', 'Cost of Illness', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Healthy Aging', 'Mortality', 'Life Expectancy', 'Prevalence', 'Incidence', 'Humans', 'Male', 'Female', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Delivery of Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0312860868871212]
+Labels: ['Diabetes']
+Scores: [6.445581675507128e-05]
+Labels: ['Cancer']
+Scores: [6.866131298011169e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.337110269465484e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.841160550015047e-05]
+Labels: ['Mental Health']
+Scores: [0.0001527335844002664]
+Labels: ['Diabetes type 1']
+Scores: [7.939452189020813e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.847246499499306e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595773
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Tanzania', 'Humans', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Adult', 'Rural Population', 'Aged', 'Young Adult', 'Politics', 'Adolescent', 'Treatment Adherence and Compliance', 'Patient Compliance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993823170661926]
+Labels: ['Diabetes']
+Scores: [0.0002603277680464089]
+Labels: ['Cancer']
+Scores: [0.0003133740683551878]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004502848023548722]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005379874259233475]
+Labels: ['Mental Health']
+Scores: [0.00029824269586242735]
+Labels: ['Diabetes type 1']
+Scores: [0.0003804010048042983]
+Labels: ['Diabetes type 2']
+Scores: [0.0004086213593836874]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595772
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Refugees', 'Male', 'Female', 'Risk Factors', 'Adult', 'Portugal', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Young Adult', 'Prevalence', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9988805055618286]
+Labels: ['Diabetes']
+Scores: [0.00033017652458511293]
+Labels: ['Cancer']
+Scores: [0.0008189590880647302]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005954884923994541]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01055306289345026]
+Labels: ['Mental Health']
+Scores: [0.2726198434829712]
+Labels: ['Diabetes type 1']
+Scores: [0.0009109713137149811]
+Labels: ['Diabetes type 2']
+Scores: [0.0008601185982115567]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592985
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Pregnancy', 'Noncommunicable Diseases', 'Middle Aged', 'Prospective Studies', 'Adolescent', 'Male', 'Young Adult', 'Aged', 'Multimorbidity', 'Prenatal Exposure Delayed Effects', 'Aged, 80 and over', 'Smoking', 'Chronic Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9951573610305786]
+Labels: ['Diabetes']
+Scores: [7.26163707440719e-05]
+Labels: ['Cancer']
+Scores: [0.00022462820925284177]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009012965485453606]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0028410807717591524]
+Labels: ['Mental Health']
+Scores: [0.000766055251006037]
+Labels: ['Diabetes type 1']
+Scores: [6.615345046157017e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.526930519612506e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Exercise', 'Aged', 'Noncommunicable Diseases', 'Randomized Controlled Trials as Topic', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9973948001861572]
+Labels: ['Diabetes']
+Scores: [0.3967108726501465]
+Labels: ['Cancer']
+Scores: [0.00015474735118914396]
+Labels: ['Chronic respiratory disease']
+Scores: [9.499010775471106e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9772472381591797]
+Labels: ['Mental Health']
+Scores: [0.0019625986460596323]
+Labels: ['Diabetes type 1']
+Scores: [0.00022800776059739292]
+Labels: ['Diabetes type 2']
+Scores: [0.0017989558400586247]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39589015
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Male', 'Female', 'South Africa', 'Longitudinal Studies', 'Adult', 'Middle Aged', 'Depressive Disorder, Major', 'Communicable Diseases', 'Mediation Analysis', 'Comorbidity', 'Causality', 'Aged', 'Monte Carlo Method', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.993780255317688]
+Labels: ['Diabetes']
+Scores: [0.0005001408862881362]
+Labels: ['Cancer']
+Scores: [0.0002527706092223525]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007236036472022533]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016470644623041153]
+Labels: ['Mental Health']
+Scores: [0.8792649507522583]
+Labels: ['Diabetes type 1']
+Scores: [0.0012555797584354877]
+Labels: ['Diabetes type 2']
+Scores: [0.001069016638211906]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39584432
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Noncommunicable Diseases', 'Digital Technology', 'Middle East', 'Telemedicine', 'Mediterranean Region', 'Pandemics', 'SARS-CoV-2', 'Delivery of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9994256496429443]
+Labels: ['Diabetes']
+Scores: [0.0008108564652502537]
+Labels: ['Cancer']
+Scores: [0.002238997258245945]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9781917929649353]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08021407574415207]
+Labels: ['Mental Health']
+Scores: [0.00028776912949979305]
+Labels: ['Diabetes type 1']
+Scores: [0.0009096201974898577]
+Labels: ['Diabetes type 2']
+Scores: [0.001152042648755014]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39563350
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'England', 'Adult', 'Male', 'Middle Aged', 'Schools', 'Female', 'Obesity', 'Public Health', 'Fast Foods', 'Body Mass Index', 'Cross-Sectional Studies', 'Health Care Costs', 'Restaurants', 'Noncommunicable Diseases', 'Quality-Adjusted Life Years', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9638221859931946]
+Labels: ['Diabetes']
+Scores: [0.00017964484868571162]
+Labels: ['Cancer']
+Scores: [6.49968278594315e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.8636044084560126e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015155517030507326]
+Labels: ['Mental Health']
+Scores: [0.00024340301752090454]
+Labels: ['Diabetes type 1']
+Scores: [0.00010322743764845654]
+Labels: ['Diabetes type 2']
+Scores: [0.00012545762001536787]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552939
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Noncommunicable Diseases', 'HIV Infections', 'Delivery of Health Care, Integrated']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9606285095214844]
+Labels: ['Diabetes']
+Scores: [0.0001548929139971733]
+Labels: ['Cancer']
+Scores: [0.00014895343338139355]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008030522149056196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.027101097628474236]
+Labels: ['Mental Health']
+Scores: [0.00018934560648631305]
+Labels: ['Diabetes type 1']
+Scores: [0.0004319119907449931]
+Labels: ['Diabetes type 2']
+Scores: [0.0003324128338135779]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552340
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Qualitative Research', 'Health Policy', 'Policy Making', 'Stakeholder Participation', 'Interviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9984817504882812]
+Labels: ['Diabetes']
+Scores: [0.0018584242789074779]
+Labels: ['Cancer']
+Scores: [0.001970437355339527]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010178275406360626]
+Labels: ['Cardiovascular diseases']
+Scores: [0.46203887462615967]
+Labels: ['Mental Health']
+Scores: [0.0005567185580730438]
+Labels: ['Diabetes type 1']
+Scores: [0.0037523554638028145]
+Labels: ['Diabetes type 2']
+Scores: [0.003966258838772774]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39548534
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ghana', 'Noncommunicable Diseases', 'Health Policy', 'World Health Organization', 'Focus Groups', 'Stakeholder Participation', 'Policy Making', 'Administrative Personnel', 'Qualitative Research', 'Public Health', 'Health Promotion', 'Health Plan Implementation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993663430213928]
+Labels: ['Diabetes']
+Scores: [0.0007257823017425835]
+Labels: ['Cancer']
+Scores: [0.0013987746788188815]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015238418709486723]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9881792664527893]
+Labels: ['Mental Health']
+Scores: [0.0002197103458456695]
+Labels: ['Diabetes type 1']
+Scores: [0.000435135152656585]
+Labels: ['Diabetes type 2']
+Scores: [0.0007719402783550322]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39541160
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Primary Health Care', 'Female', 'Male', 'Hypertension', 'Noncommunicable Diseases', 'Diabetes Mellitus, Type 2', 'Ghana', 'Adult', 'Middle Aged', 'Delivery of Health Care, Integrated', 'Quality Improvement', 'Depression', 'Mental Health Services', 'Anxiety', 'Mental Disorders', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9968280792236328]
+Labels: ['Diabetes']
+Scores: [7.566031854366884e-05]
+Labels: ['Cancer']
+Scores: [0.00012136563600506634]
+Labels: ['Chronic respiratory disease']
+Scores: [5.702419366571121e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017849667347036302]
+Labels: ['Mental Health']
+Scores: [0.9988772869110107]
+Labels: ['Diabetes type 1']
+Scores: [5.5591593991266564e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.520804552361369e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39530940
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Cardiovascular Diseases', 'Secondary Prevention']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9997708797454834]
+Labels: ['Diabetes']
+Scores: [0.9720133543014526]
+Labels: ['Cancer']
+Scores: [0.005956209730356932]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10541216284036636]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9978480339050293]
+Labels: ['Mental Health']
+Scores: [7.500047649955377e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000595886551309377]
+Labels: ['Diabetes type 2']
+Scores: [0.0021186107769608498]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39522888
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'China', 'Noncommunicable Diseases', 'Aged', 'Middle Aged', 'Male', 'Female', 'Incidence', 'Aged, 80 and over', 'Disability-Adjusted Life Years', 'Health Priorities', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999485194683075]
+Labels: ['Diabetes']
+Scores: [0.00016525395039934665]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.9972252249717712]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9961881637573242]
+Labels: ['Mental Health']
+Scores: [0.03960728645324707]
+Labels: ['Diabetes type 1']
+Scores: [0.00016742022125981748]
+Labels: ['Diabetes type 2']
+Scores: [0.00021827392629347742]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39515219
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Body Mass Index', 'Child', 'Female', 'Pediatric Obesity', 'Victoria', 'COVID-19', 'Health Behavior', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9481250643730164]
+Labels: ['Diabetes']
+Scores: [0.0002372938470216468]
+Labels: ['Cancer']
+Scores: [0.00011561362043721601]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011627898493316025]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004720351716969162]
+Labels: ['Mental Health']
+Scores: [0.020310893654823303]
+Labels: ['Diabetes type 1']
+Scores: [0.0003588864638004452]
+Labels: ['Diabetes type 2']
+Scores: [0.000600274361204356]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39514466
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Exercise', 'Noncommunicable Diseases', 'Health Promotion', 'Healthy Lifestyle', 'Perception', 'Life Style']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993109107017517]
+Labels: ['Diabetes']
+Scores: [0.0001707725168671459]
+Labels: ['Cancer']
+Scores: [0.0003501286846585572]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015566690126433969]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007734769023954868]
+Labels: ['Mental Health']
+Scores: [0.0005267809610813856]
+Labels: ['Diabetes type 1']
+Scores: [0.00017115299124270678]
+Labels: ['Diabetes type 2']
+Scores: [0.00018116772116627544]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39511525
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Behavior Therapy', 'Health Promotion', 'Life Style', 'Noncommunicable Diseases', 'Systematic Reviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9980688095092773]
+Labels: ['Diabetes']
+Scores: [0.00010533606837270781]
+Labels: ['Cancer']
+Scores: [0.0004166636790614575]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000109438544313889]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0035594776272773743]
+Labels: ['Mental Health']
+Scores: [0.00029680540319532156]
+Labels: ['Diabetes type 1']
+Scores: [7.849707617424428e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.413202496943995e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39496368
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Dyslipidemias', 'Adult', 'Cross-Sectional Studies', 'Aged', 'Prevalence', 'Sex Factors', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Cohort Studies', 'Age Factors', 'Social Class', 'Health Status Disparities', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9995729923248291]
+Labels: ['Diabetes']
+Scores: [0.0008250426617451012]
+Labels: ['Cancer']
+Scores: [9.467224299442023e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.621018448844552e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9947727918624878]
+Labels: ['Mental Health']
+Scores: [0.00018467438349034637]
+Labels: ['Diabetes type 1']
+Scores: [0.00015850011550355703]
+Labels: ['Diabetes type 2']
+Scores: [0.00026262138271704316]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39494478
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Risk Factors', 'Cardiovascular Diseases', 'Periodontal Diseases', 'Periodontitis', 'Disease Susceptibility', 'Noncommunicable Diseases', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21436858177185059]
+Labels: ['Diabetes']
+Scores: [0.0021136864088475704]
+Labels: ['Cancer']
+Scores: [0.00010850443504750729]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022244518622756004]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009054596535861492]
+Labels: ['Mental Health']
+Scores: [5.776466059614904e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00021419796394184232]
+Labels: ['Diabetes type 2']
+Scores: [0.0002047261077677831]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39478581
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Male', 'Exercise', 'Female', 'Middle Aged', 'Young Adult', 'Africa', 'Adolescent', 'Aged', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Leisure Activities', 'Sociodemographic Factors', 'Surveys and Questionnaires', 'Sex Factors', 'Educational Status']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0915326476097107]
+Labels: ['Diabetes']
+Scores: [0.00026287350920028985]
+Labels: ['Cancer']
+Scores: [6.768522871425375e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.667963316431269e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007809591479599476]
+Labels: ['Mental Health']
+Scores: [0.0015809061005711555]
+Labels: ['Diabetes type 1']
+Scores: [0.0003230417496524751]
+Labels: ['Diabetes type 2']
+Scores: [0.0002527067263145]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39478517
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Prospective Studies', 'Diet', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9956287741661072]
+Labels: ['Diabetes']
+Scores: [0.004471835680305958]
+Labels: ['Cancer']
+Scores: [0.00011658137373160571]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010310187644790858]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3787215054035187]
+Labels: ['Mental Health']
+Scores: [0.00010812495020218194]
+Labels: ['Diabetes type 1']
+Scores: [0.00027451355708763003]
+Labels: ['Diabetes type 2']
+Scores: [0.0004324574547354132]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39460821
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ukraine', 'Retrospective Studies', 'Aged', 'Persons with Disabilities', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over', 'Cardiovascular Diseases', 'Armed Conflicts', 'Neoplasms', 'Eastern European People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9494493007659912]
+Labels: ['Diabetes']
+Scores: [0.00012970113311894238]
+Labels: ['Cancer']
+Scores: [0.10269838571548462]
+Labels: ['Chronic respiratory disease']
+Scores: [7.961616211105138e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9381424188613892]
+Labels: ['Mental Health']
+Scores: [0.0004905508831143379]
+Labels: ['Diabetes type 1']
+Scores: [0.00010716024553403258]
+Labels: ['Diabetes type 2']
+Scores: [0.00013817762373946607]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458499
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Liver Diseases', 'Probiotics', 'Chronic Disease', 'Noncommunicable Diseases', 'Risk Factors', 'Dietary Fiber', 'Polyphenols', 'Food Ingredients', 'Diet', 'Spices', 'Fatty Acids, Omega-3', 'Dietary Supplements']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9896062016487122]
+Labels: ['Diabetes']
+Scores: [0.00011851637827930972]
+Labels: ['Cancer']
+Scores: [0.1617388278245926]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012320413952693343]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005388183635659516]
+Labels: ['Mental Health']
+Scores: [9.115594002651051e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00017832816229201853]
+Labels: ['Diabetes type 2']
+Scores: [0.0001783235784387216]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39458490
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Biodiversity', 'One Health', 'Diet, Healthy', 'Interdisciplinary Research', 'Noncommunicable Diseases', 'Diet, Vegetarian', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9623048305511475]
+Labels: ['Diabetes']
+Scores: [0.00010358054714743048]
+Labels: ['Cancer']
+Scores: [0.00010487627878319472]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00040568478289060295]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9605527520179749]
+Labels: ['Mental Health']
+Scores: [7.80716072767973e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00014082141569815576]
+Labels: ['Diabetes type 2']
+Scores: [0.0001603127020644024]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458487
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Bibliometrics', 'Humans', 'Food Labeling', 'Beverages', 'Global Health', 'Nutrition Policy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000576977152377367]
+Labels: ['Diabetes']
+Scores: [6.551799742737785e-05]
+Labels: ['Cancer']
+Scores: [4.7096713387873024e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.6660043153679e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.091195296496153e-05]
+Labels: ['Mental Health']
+Scores: [4.476309914025478e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00015512319805566221]
+Labels: ['Diabetes type 2']
+Scores: [0.00014744990039616823]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39449123
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Life Style', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Inflammatory Bowel Diseases', 'Adult', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Inflammation', 'Age of Onset', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9992290735244751]
+Labels: ['Diabetes']
+Scores: [0.00016719796985853463]
+Labels: ['Cancer']
+Scores: [0.0003169453702867031]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007140332600101829]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016727261245250702]
+Labels: ['Mental Health']
+Scores: [0.00023227710335049778]
+Labels: ['Diabetes type 1']
+Scores: [0.0002777406189125031]
+Labels: ['Diabetes type 2']
+Scores: [0.0003345224540680647]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39438053
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Thailand', 'Noncommunicable Diseases', 'Delivery of Health Care', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9996106028556824]
+Labels: ['Diabetes']
+Scores: [0.00013372523244470358]
+Labels: ['Cancer']
+Scores: [0.00017866089183371514]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9896928071975708]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017638860736042261]
+Labels: ['Mental Health']
+Scores: [0.00035279226722195745]
+Labels: ['Diabetes type 1']
+Scores: [0.000456683716038242]
+Labels: ['Diabetes type 2']
+Scores: [0.0002429679298074916]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39437825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Germany', 'Communicable Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8623576760292053]
+Labels: ['Diabetes']
+Scores: [8.180234726751223e-05]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0006244890973903239]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010130011942237616]
+Labels: ['Mental Health']
+Scores: [6.660803046543151e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.942822074051946e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.54049067129381e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437462
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Emotions', 'Physician-Patient Relations', 'Communication', 'Decision Making', 'Noncommunicable Diseases', 'Informed Consent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9995852112770081]
+Labels: ['Diabetes']
+Scores: [0.00016082903312053531]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0003668633580673486]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007935157045722008]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0003941099566873163]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436669
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Health Policy', 'Policy Making', 'Administrative Personnel', 'Noncommunicable Diseases', 'Developing Countries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9570944309234619]
+Labels: ['Diabetes']
+Scores: [0.0007212398340925574]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.032235998660326004]
+Labels: ['Mental Health']
+Scores: [0.0028822857420891523]
+Labels: ['Diabetes type 1']
+Scores: [0.0011073463829234242]
+Labels: ['Diabetes type 2']
+Scores: [0.001115619670599699]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39432502
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Tuberculosis, Pulmonary', 'Noncommunicable Diseases', 'Gene Regulatory Networks', 'Lung Neoplasms', 'Silicosis', 'Protein Interaction Maps', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9921626448631287]
+Labels: ['Diabetes']
+Scores: [4.944161628372967e-05]
+Labels: ['Cancer']
+Scores: [6.702762038912624e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9799435138702393]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06386147439479828]
+Labels: ['Mental Health']
+Scores: [8.76644771778956e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.222327672527172e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.1947605243185535e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39426077
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Brazil', 'Obesity', 'Male', 'Female', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Hospitalization', 'Body Mass Index', 'Sick Leave', 'Prevalence', 'Cost of Illness', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9911842942237854]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.00044801723561249673]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9686652421951294]
+Labels: ['Mental Health']
+Scores: [0.0002124086458934471]
+Labels: ['Diabetes type 1']
+Scores: [0.0003941660397686064]
+Labels: ['Diabetes type 2']
+Scores: [0.0007162561523728073]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Prevalence', 'Incidence', 'Global Health', 'Male', 'Global Burden of Disease', 'Data Analysis', 'World Health Organization', 'Secondary Data Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9995281100273132]
+Labels: ['Diabetes']
+Scores: [0.003082945244386792]
+Labels: ['Cancer']
+Scores: [0.017585571855306625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006541709881275892]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9805709719657898]
+Labels: ['Mental Health']
+Scores: [0.00037086664815433323]
+Labels: ['Diabetes type 1']
+Scores: [0.0033033867366611958]
+Labels: ['Diabetes type 2']
+Scores: [0.006555013358592987]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418781
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Female', 'Male', 'Case-Control Studies', 'Middle Aged', 'Adult', 'Occupations', 'Databases, Factual', 'Occupational Exposure', 'Risk Factors', 'Noncommunicable Diseases', 'Myocardial Infarction', 'Sitting Position', 'Diabetes Mellitus', 'Aged', 'Workplace']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009517475264146924]
+Labels: ['Diabetes']
+Scores: [4.6106109948595986e-05]
+Labels: ['Cancer']
+Scores: [5.129919736646116e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.047883703606203e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.428034536540508e-05]
+Labels: ['Mental Health']
+Scores: [0.0007993748295120895]
+Labels: ['Diabetes type 1']
+Scores: [4.553364124149084e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.5728676923317835e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418779
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Europe', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Adolescent', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult', 'Global Burden of Disease', 'Child', 'Infant', 'Cost of Illness', 'Child, Preschool', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9996228218078613]
+Labels: ['Diabetes']
+Scores: [0.00020437933562789112]
+Labels: ['Cancer']
+Scores: [0.9971016049385071]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006221153307706118]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9990180730819702]
+Labels: ['Mental Health']
+Scores: [0.00010918300540652126]
+Labels: ['Diabetes type 1']
+Scores: [0.00015140480536501855]
+Labels: ['Diabetes type 2']
+Scores: [0.00038998431409709156]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418251
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Obesity', 'Hypertension', 'Motivation', 'Risk Factors', 'Hyperlipidemias', 'Iran', 'Overweight', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993045330047607]
+Labels: ['Diabetes']
+Scores: [0.00046612363075837493]
+Labels: ['Cancer']
+Scores: [0.0005258669843897223]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00020363314251881093]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8462429642677307]
+Labels: ['Mental Health']
+Scores: [0.0001070589933078736]
+Labels: ['Diabetes type 1']
+Scores: [0.00016090221470221877]
+Labels: ['Diabetes type 2']
+Scores: [0.0002307933900738135]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39416942
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Information Dissemination', 'Translational Research, Biomedical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9955963492393494]
+Labels: ['Diabetes']
+Scores: [0.00019350068760104477]
+Labels: ['Cancer']
+Scores: [0.0004620513063855469]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012460137077141553]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006921837106347084]
+Labels: ['Mental Health']
+Scores: [0.00014744463260285556]
+Labels: ['Diabetes type 1']
+Scores: [0.00020365296222735196]
+Labels: ['Diabetes type 2']
+Scores: [0.00027906973264180124]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39411832
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Inflammation', 'Diet', 'Anti-Inflammatory Agents', 'Obesity', 'Chronic Disease', 'Diabetes Mellitus, Type 2', 'Fruit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9926902651786804]
+Labels: ['Diabetes']
+Scores: [0.6141564846038818]
+Labels: ['Cancer']
+Scores: [0.02660529315471649]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00039069599006325006]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8914099335670471]
+Labels: ['Mental Health']
+Scores: [0.0001842096244217828]
+Labels: ['Diabetes type 1']
+Scores: [0.00117481779307127]
+Labels: ['Diabetes type 2']
+Scores: [0.9859740138053894]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39408274
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malus', 'Noncommunicable Diseases', 'Fruit', 'Nutritive Value', 'Diet', 'Diet, Healthy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9973372220993042]
+Labels: ['Diabetes']
+Scores: [0.9689465165138245]
+Labels: ['Cancer']
+Scores: [0.03676621988415718]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0078551284968853]
+Labels: ['Cardiovascular diseases']
+Scores: [0.976523756980896]
+Labels: ['Mental Health']
+Scores: [6.78334545227699e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0017207082128152251]
+Labels: ['Diabetes type 2']
+Scores: [0.004845475312322378]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39408232
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Biological Products', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9983639121055603]
+Labels: ['Diabetes']
+Scores: [0.9898819923400879]
+Labels: ['Cancer']
+Scores: [0.9471946954727173]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021295479964464903]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9869648814201355]
+Labels: ['Mental Health']
+Scores: [0.00017504021525382996]
+Labels: ['Diabetes type 1']
+Scores: [0.0023694653064012527]
+Labels: ['Diabetes type 2']
+Scores: [0.006644784938544035]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39407160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Nepal', 'Humans', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Services Accessibility', 'Health Care Surveys', 'Health Facilities', 'Female', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9991243481636047]
+Labels: ['Diabetes']
+Scores: [0.0008072573691606522]
+Labels: ['Cancer']
+Scores: [0.0015056299744173884]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012864783639088273]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8877922296524048]
+Labels: ['Mental Health']
+Scores: [0.00018444235320203006]
+Labels: ['Diabetes type 1']
+Scores: [0.0010201312834396958]
+Labels: ['Diabetes type 2']
+Scores: [0.001954510807991028]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39404094
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fibrinolytic Agents', 'Subtilisins', 'Antioxidants', 'Oxidative Stress', 'Anti-Inflammatory Agents', 'Animals', 'Inflammation', 'Cardiovascular Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993892908096313]
+Labels: ['Diabetes']
+Scores: [0.00018253055168315768]
+Labels: ['Cancer']
+Scores: [0.00019664361025206745]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008929941104725003]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9995944499969482]
+Labels: ['Mental Health']
+Scores: [9.272281749872491e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00010542679956415668]
+Labels: ['Diabetes type 2']
+Scores: [0.00010579933586996049]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394102
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Communication Barriers', 'Aged', 'Rural Population', 'South Africa', 'Middle Aged', 'Qualitative Research', 'Interviews as Topic', 'Health Knowledge, Attitudes, Practice', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999530553817749]
+Labels: ['Diabetes']
+Scores: [0.9911491274833679]
+Labels: ['Cancer']
+Scores: [0.00010855906293727458]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017743567877914757]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9630533456802368]
+Labels: ['Mental Health']
+Scores: [0.0005360548966564238]
+Labels: ['Diabetes type 1']
+Scores: [0.002428746782243252]
+Labels: ['Diabetes type 2']
+Scores: [0.1388426125049591]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39391944
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Noncommunicable Diseases', 'Middle Aged', 'Cross-Sectional Studies', 'Prevalence', 'Chronic Disease', 'Beverages', 'Obesity', 'Aged', 'Neoplasms', 'Hypercholesterolemia', 'Young Adult', 'Diet', 'Alcoholic Beverages', 'Feeding Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9991598725318909]
+Labels: ['Diabetes']
+Scores: [0.01184838730841875]
+Labels: ['Cancer']
+Scores: [0.19532564282417297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016066499520093203]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9029286503791809]
+Labels: ['Mental Health']
+Scores: [0.00010145791748072952]
+Labels: ['Diabetes type 1']
+Scores: [0.0013888358371332288]
+Labels: ['Diabetes type 2']
+Scores: [0.0035079768858850002]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39390457
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Satellite Imagery', 'Cardiovascular Diseases', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993026852607727]
+Labels: ['Diabetes']
+Scores: [0.0004798587178811431]
+Labels: ['Cancer']
+Scores: [0.0010421554325148463]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0025435404386371374]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5901565551757812]
+Labels: ['Mental Health']
+Scores: [0.00019097691983915865]
+Labels: ['Diabetes type 1']
+Scores: [0.0006781101110391319]
+Labels: ['Diabetes type 2']
+Scores: [0.0008095704833976924]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39388415
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Alcohol Drinking', 'Exercise', 'Meta-Analysis as Topic', 'Noncommunicable Diseases', 'Prevalence', 'Risk Factors', 'Systematic Reviews as Topic', 'Tobacco Use']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9996311068534851]
+Labels: ['Diabetes']
+Scores: [0.00021442066645249724]
+Labels: ['Cancer']
+Scores: [0.00039072742220014334]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015308878209907562]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009946860373020172]
+Labels: ['Mental Health']
+Scores: [0.0004147987929172814]
+Labels: ['Diabetes type 1']
+Scores: [0.00044927423004992306]
+Labels: ['Diabetes type 2']
+Scores: [0.0003560989862307906]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39386956
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Guyana', 'Humans', 'Noncommunicable Diseases', 'Qualitative Research', 'Health Policy', 'Government', 'Policy Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9992126226425171]
+Labels: ['Diabetes']
+Scores: [0.0001308415667153895]
+Labels: ['Cancer']
+Scores: [0.0003614468441810459]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0029374356381595135]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9772459864616394]
+Labels: ['Mental Health']
+Scores: [0.00014798731717746705]
+Labels: ['Diabetes type 1']
+Scores: [0.00019084948871750385]
+Labels: ['Diabetes type 2']
+Scores: [0.00025405449559912086]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39379988
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Aged', 'Body Mass Index', 'Cardiovascular Diseases', 'China', 'Neoplasms', 'Age Factors', 'Cause of Death', 'Cohort Studies', 'Proportional Hazards Models', 'Weight Loss', 'Weight Gain', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9901337623596191]
+Labels: ['Diabetes']
+Scores: [0.0002484170545358211]
+Labels: ['Cancer']
+Scores: [0.0004524351970758289]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001001411656034179]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03125832974910736]
+Labels: ['Mental Health']
+Scores: [9.759973909240216e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001291292137466371]
+Labels: ['Diabetes type 2']
+Scores: [0.0001270621141884476]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39374955
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Research', 'Health Priorities', 'Biomedical Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9983363747596741]
+Labels: ['Diabetes']
+Scores: [0.00032421460491605103]
+Labels: ['Cancer']
+Scores: [0.002020454267039895]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004192122723907232]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012835913337767124]
+Labels: ['Mental Health']
+Scores: [0.0005542219732888043]
+Labels: ['Diabetes type 1']
+Scores: [0.0010018981993198395]
+Labels: ['Diabetes type 2']
+Scores: [0.0012027190532535315]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369417
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Tertiary Care Centers', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Nepal', 'Health Knowledge, Attitudes, Practice', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.998867928981781]
+Labels: ['Diabetes']
+Scores: [0.00010237474634777755]
+Labels: ['Cancer']
+Scores: [9.439665882382542e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.719159136991948e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.479951793560758e-05]
+Labels: ['Mental Health']
+Scores: [0.0018285089172422886]
+Labels: ['Diabetes type 1']
+Scores: [0.00010667668539099395]
+Labels: ['Diabetes type 2']
+Scores: [0.00010574762563919649]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369183
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Female', 'Male', 'Aged', 'Asia, Central', 'Adult', 'Europe, Eastern', 'Noncommunicable Diseases', 'Mortality, Premature', 'Global Health', 'Global Burden of Disease', 'Cardiovascular Diseases', 'Neoplasms', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9888709187507629]
+Labels: ['Diabetes']
+Scores: [0.08956218510866165]
+Labels: ['Cancer']
+Scores: [0.35773536562919617]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5098894238471985]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20773276686668396]
+Labels: ['Mental Health']
+Scores: [0.00015692802844569087]
+Labels: ['Diabetes type 1']
+Scores: [0.001309559098444879]
+Labels: ['Diabetes type 2']
+Scores: [0.005986619275063276]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [3, 4]]
+---------------------------------
+---------------------------------
+PMID: 39368120
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Middle Aged', 'Adult', 'Male', 'Female', 'Noncommunicable Diseases', 'Natural Language Processing', 'Prevalence', 'Retrospective Studies', 'Hypertension', 'Aged', 'Adolescent', 'Young Adult', 'Diabetes Mellitus', 'Electronic Health Records', 'Obesity', 'Multimorbidity', 'Dyslipidemias', 'Mental Disorders', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9983490705490112]
+Labels: ['Diabetes']
+Scores: [0.00012147202505730093]
+Labels: ['Cancer']
+Scores: [0.00015374003851320595]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00028538962942548096]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1371738463640213]
+Labels: ['Mental Health']
+Scores: [0.00025384195032529533]
+Labels: ['Diabetes type 1']
+Scores: [0.00010819240560522303]
+Labels: ['Diabetes type 2']
+Scores: [0.0001373629056615755]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39367295
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['India', 'Humans', 'Primary Health Care', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Comprehensive Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04524162411689758]
+Labels: ['Diabetes']
+Scores: [0.00023696500284131616]
+Labels: ['Cancer']
+Scores: [0.0001787822402548045]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015731921303085983]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020206786575727165]
+Labels: ['Mental Health']
+Scores: [0.00020978963584639132]
+Labels: ['Diabetes type 1']
+Scores: [0.0009880532743409276]
+Labels: ['Diabetes type 2']
+Scores: [0.0009208812261931598]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39365121
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Dental Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10543766617774963]
+Labels: ['Diabetes']
+Scores: [4.992519097868353e-05]
+Labels: ['Cancer']
+Scores: [6.717229553032666e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.956850120332092e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021677964832633734]
+Labels: ['Mental Health']
+Scores: [6.393413059413433e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.8098998124478385e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.4558910051127896e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39363978
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9800502061843872]
+Labels: ['Diabetes']
+Scores: [0.0008512920467182994]
+Labels: ['Cancer']
+Scores: [0.007781391963362694]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003518753219395876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9970195293426514]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0004527829587459564]
+Labels: ['Diabetes type 2']
+Scores: [0.0005443250411190093]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39356704
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Nepal', 'Adolescent', 'Middle Aged', 'Risk Factors', 'Young Adult', 'Hypertension', 'Obesity', 'Smoking', 'Prevalence', 'Overweight', 'Cluster Analysis', 'Noncommunicable Diseases', 'Health Surveys']
+Labels: ['Noncommunicable Diseases']
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+Scores: [0.0004584023845382035]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352154
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malaysia', 'Female', 'Male', 'Adult', 'Cross-Sectional Studies', 'Health Knowledge, Attitudes, Practice', 'Noncommunicable Diseases', 'Middle Aged', 'Young Adult', 'Indigenous Peoples', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.019188977777957916]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0003263671533204615]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352096
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet', 'Obesity', 'Dysbiosis', 'Diabetes Mellitus, Type 2', 'Czech Republic', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9832468628883362]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [5.250784306554124e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.620771844405681e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39344941
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Mass Screening', 'Cardiovascular Diseases', 'Oral Health', 'Diabetes Mellitus', 'United Kingdom']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999376654624939]
+Labels: ['Diabetes']
+Scores: [0.9981177449226379]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0004897874314337969]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [6.829907943028957e-05]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39342408
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Mexico', 'Female', 'Male', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Ambulatory Care', 'Cross-Sectional Studies', 'Young Adult', 'Aged', 'Sex Factors', 'Healthcare Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9995924830436707]
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39342100
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Female', 'Male', 'Qualitative Research', 'Fisheries', 'Adult', 'Middle Aged', 'Delayed Diagnosis', 'Patient Acceptance of Health Care', 'Interviews as Topic', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.01470289845019579]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39339734
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet, Mediterranean', 'Dysbiosis', 'Diet, Western', 'Diet, Vegetarian', 'Diet', 'Methylamines', 'Fatty Acids, Volatile']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [7.702537550358102e-05]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338107
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Sex Factors', 'Longitudinal Studies', 'Young Adult', 'Health Surveys', 'Prevalence', 'Socioeconomic Factors', 'Adolescent', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338026
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Developing Countries', 'Economic Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9994302988052368]
+Labels: ['Diabetes']
+Scores: [0.0011939139803871512]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39334103
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Metabolic Syndrome', 'Female', 'Male', 'Aged', 'Cross-Sectional Studies', 'Thailand', 'Multilevel Analysis', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9989445805549622]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9966261982917786]
+Labels: ['Mental Health']
+Scores: [7.579143129987642e-05]
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39333314
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Wounds and Injuries', 'Female', 'Male', 'Neoplasms', 'Cardiovascular Diseases', 'Cause of Death', 'Global Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9994075894355774]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.9990746378898621]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.00028102094074711204]
+Labels: ['Diabetes type 2']
+Scores: [0.0003130636760033667]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39324155
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ethiopia', 'Male', 'Female', 'Adult', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Belief Model', 'Middle Aged', 'Health Behavior', 'Surveys and Questionnaires', 'Health Promotion', 'Young Adult', 'Health Knowledge, Attitudes, Practice', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0002670727844815701]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003556331852450967]
+Labels: ['Mental Health']
+Scores: [0.0011795214377343655]
+Labels: ['Diabetes type 1']
+Scores: [0.0005091162747703493]
+Labels: ['Diabetes type 2']
+Scores: [0.0006115137948654592]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39308827
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Thailand', 'Particulate Matter', 'Noncommunicable Diseases', 'Female', 'Male', 'Air Pollutants', 'Environmental Exposure', 'Air Pollution', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.998234748840332]
+Labels: ['Diabetes']
+Scores: [9.922528261085972e-05]
+Labels: ['Cancer']
+Scores: [0.0001164921632152982]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027107752859592438]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08245502412319183]
+Labels: ['Mental Health']
+Scores: [8.762642391957343e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.385538578499109e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00011072183406213298]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39307578
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Noncommunicable Diseases', 'Postpartum Period', 'Parturition', 'Pregnancy Complications', 'Australia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9782605171203613]
+Labels: ['Diabetes']
+Scores: [8.404126856476068e-05]
+Labels: ['Cancer']
+Scores: [0.00023206282639876008]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013640998804476112]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012988557573407888]
+Labels: ['Mental Health']
+Scores: [0.0001303900935454294]
+Labels: ['Diabetes type 1']
+Scores: [8.544239244656637e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.463601261610165e-05]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9585020542144775]
+Labels: ['Diabetes']
+Scores: [0.9996193051338196]
+Labels: ['Cancer']
+Scores: [8.250342216342688e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.827003380749375e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015655985043849796]
+Labels: ['Mental Health']
+Scores: [0.03625145182013512]
+Labels: ['Diabetes type 1']
+Scores: [0.0011807866394519806]
+Labels: ['Diabetes type 2']
+Scores: [0.010934618301689625]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9785143733024597]
+Labels: ['Diabetes']
+Scores: [0.9998063445091248]
+Labels: ['Cancer']
+Scores: [0.000795366067904979]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007644266588613391]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016071703284978867]
+Labels: ['Mental Health']
+Scores: [7.35149224055931e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.6640604734420776]
+Labels: ['Diabetes type 2']
+Scores: [0.9968070387840271]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9958558082580566]
+Labels: ['Diabetes']
+Scores: [0.9874799847602844]
+Labels: ['Cancer']
+Scores: [0.00026981221162714064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013513232581317425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9776211380958557]
+Labels: ['Mental Health']
+Scores: [0.00027131856768392026]
+Labels: ['Diabetes type 1']
+Scores: [0.002578334417194128]
+Labels: ['Diabetes type 2']
+Scores: [0.01217336393892765]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9572930335998535]
+Labels: ['Diabetes']
+Scores: [0.0003188182308804244]
+Labels: ['Cancer']
+Scores: [0.43753811717033386]
+Labels: ['Chronic respiratory disease']
+Scores: [5.7204579206882045e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9853665232658386]
+Labels: ['Mental Health']
+Scores: [5.3440155170392245e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016240723198279738]
+Labels: ['Diabetes type 2']
+Scores: [0.00016794017574284226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735640
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Blood Glucose', 'Class Ia Phosphatidylinositol 3-Kinase', 'Diabetes Mellitus', 'Growth Disorders', 'Hypercalcemia', 'Insulin Resistance', 'Nephrocalcinosis', 'Tooth Abnormalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11668964475393295]
+Labels: ['Diabetes']
+Scores: [0.9996237754821777]
+Labels: ['Cancer']
+Scores: [7.47528174542822e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.360874663689174e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014721766638103873]
+Labels: ['Mental Health']
+Scores: [5.981724098091945e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.053833555430173874]
+Labels: ['Diabetes type 2']
+Scores: [0.0008114658994600177]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010669220238924026]
+Labels: ['Diabetes']
+Scores: [0.9919487833976746]
+Labels: ['Cancer']
+Scores: [0.00016003380005713552]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006042264285497367]
+Labels: ['Cardiovascular diseases']
+Scores: [0.834789514541626]
+Labels: ['Mental Health']
+Scores: [5.201725798542611e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.007613738067448139]
+Labels: ['Diabetes type 2']
+Scores: [0.1625363528728485]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9758881330490112]
+Labels: ['Diabetes']
+Scores: [0.00020859083451796323]
+Labels: ['Cancer']
+Scores: [6.122575723566115e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.969152569770813]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997351765632629]
+Labels: ['Mental Health']
+Scores: [0.0031481278128921986]
+Labels: ['Diabetes type 1']
+Scores: [6.793504871893674e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.069842053577304e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39734205
+Predictions: ['Diabetes']
+MeshTerm: ['Administration, Oral', 'Insulin', 'Humans', 'Animals', 'Nanoparticles', 'Blood Glucose', 'Diabetes Mellitus', 'Particle Size', 'Hypoglycemic Agents', 'Drug Carriers', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07429131865501404]
+Labels: ['Diabetes']
+Scores: [0.9977582097053528]
+Labels: ['Cancer']
+Scores: [6.744505662936717e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.537930600345135e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002745669335126877]
+Labels: ['Mental Health']
+Scores: [4.329522926127538e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.014095046557486057]
+Labels: ['Diabetes type 2']
+Scores: [0.02403874509036541]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07907013595104218]
+Labels: ['Diabetes']
+Scores: [0.9961138367652893]
+Labels: ['Cancer']
+Scores: [6.0266673244768754e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014122288848739117]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016302188858389854]
+Labels: ['Mental Health']
+Scores: [7.996737986104563e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0006395525997504592]
+Labels: ['Diabetes type 2']
+Scores: [0.0010157980723306537]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732905
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Coronary Stenosis', 'Aged', 'Inflammation', 'Coronary Disease', 'Severity of Illness Index', 'Diabetes Mellitus', 'Prognosis', 'Risk Factors', 'Predictive Value of Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9962285161018372]
+Labels: ['Diabetes']
+Scores: [0.7790150046348572]
+Labels: ['Cancer']
+Scores: [0.00011753509897971526]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003379346744623035]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9998385906219482]
+Labels: ['Mental Health']
+Scores: [5.5557178711751476e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0017795042367652059]
+Labels: ['Diabetes type 2']
+Scores: [0.004260183311998844]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sepsis', 'Male', 'Female', 'Aged', 'Middle Aged', 'Calcium', 'Diabetes Mellitus', 'Acid-Base Equilibrium', 'ROC Curve', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8871467709541321]
+Labels: ['Diabetes']
+Scores: [0.9983440041542053]
+Labels: ['Cancer']
+Scores: [0.0005031124455854297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000400920253014192]
+Labels: ['Cardiovascular diseases']
+Scores: [0.029248394072055817]
+Labels: ['Mental Health']
+Scores: [6.298204243648797e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.020846012979745865]
+Labels: ['Diabetes type 2']
+Scores: [0.19076533615589142]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8032375574111938]
+Labels: ['Diabetes']
+Scores: [0.9994621872901917]
+Labels: ['Cancer']
+Scores: [0.00037849292857572436]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002682314661797136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9978150129318237]
+Labels: ['Mental Health']
+Scores: [6.568452226929367e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.005033324938267469]
+Labels: ['Diabetes type 2']
+Scores: [0.5561637282371521]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732433
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Ethiopia', 'Risk Factors', 'Prevalence', 'Diabetic Angiopathies', 'Male', 'Female', 'Middle Aged', 'Adult', 'Risk Assessment', 'Diabetic Retinopathy', 'Aged', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Diabetes Mellitus', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9780145287513733]
+Labels: ['Diabetes']
+Scores: [0.9933534860610962]
+Labels: ['Cancer']
+Scores: [6.383020809153095e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.3599706006934866e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8989958167076111]
+Labels: ['Mental Health']
+Scores: [7.679105328861624e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0017169690690934658]
+Labels: ['Diabetes type 2']
+Scores: [0.04848257452249527]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9758462309837341]
+Labels: ['Diabetes']
+Scores: [0.998637855052948]
+Labels: ['Cancer']
+Scores: [0.00017873568867798895]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021566289069596678]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9827271699905396]
+Labels: ['Mental Health']
+Scores: [5.4730033298255876e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.012665699236094952]
+Labels: ['Diabetes type 2']
+Scores: [0.059461258351802826]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730510
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Nutrition Surveys', 'Heart Diseases', 'Diabetes Mellitus', 'Waist Circumference', 'Body Mass Index', 'Adiposity', 'Risk Factors', 'Adipose Tissue', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9969537258148193]
+Labels: ['Diabetes']
+Scores: [0.9995404481887817]
+Labels: ['Cancer']
+Scores: [0.0001580118841957301]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019309834169689566]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9992615580558777]
+Labels: ['Mental Health']
+Scores: [5.202100510359742e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.1056949645280838]
+Labels: ['Diabetes type 2']
+Scores: [0.9443402886390686]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39729755
+Predictions: ['Diabetes']
+MeshTerm: ['Biosensing Techniques', 'Microwaves', 'Humans', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Spectrum Analysis, Raman', 'Spectroscopy, Near-Infrared', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020816665142774582]
+Labels: ['Diabetes']
+Scores: [0.9911377429962158]
+Labels: ['Cancer']
+Scores: [0.00017733316053636372]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007503845263272524]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006355064688250422]
+Labels: ['Mental Health']
+Scores: [8.178270218195394e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.015909969806671143]
+Labels: ['Diabetes type 2']
+Scores: [0.20838145911693573]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.81949383020401]
+Labels: ['Diabetes']
+Scores: [0.9996404051780701]
+Labels: ['Cancer']
+Scores: [0.00013879234029445797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014371842553373426]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9994320273399353]
+Labels: ['Mental Health']
+Scores: [5.736961975344457e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0009411112987436354]
+Labels: ['Diabetes type 2']
+Scores: [0.0027710399590432644]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725454
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Kidney Transplantation', 'Male', 'Female', 'Child', 'Adolescent', 'Graft Survival', 'Graft Rejection', 'Diabetes Mellitus', 'Incidence', 'Retrospective Studies', 'Postoperative Complications', 'Survival Analysis', 'Child, Preschool', 'Transplant Recipients', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9162057638168335]
+Labels: ['Diabetes']
+Scores: [0.9089769721031189]
+Labels: ['Cancer']
+Scores: [0.0002675339637789875]
+Labels: ['Chronic respiratory disease']
+Scores: [6.307668081717566e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015822813147678971]
+Labels: ['Mental Health']
+Scores: [5.3536288760369644e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.013926072046160698]
+Labels: ['Diabetes type 2']
+Scores: [0.023095164448022842]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723173
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Wound Healing', 'Hypoxia-Inducible Factor 1, alpha Subunit', 'Animals', 'Deferoxamine', 'Diabetes Mellitus', 'Glycine', 'Nanoparticles', 'Isoquinolines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08461736142635345]
+Labels: ['Diabetes']
+Scores: [0.9996694922447205]
+Labels: ['Cancer']
+Scores: [0.00017965924052987248]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00104462297167629]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002111727953888476]
+Labels: ['Mental Health']
+Scores: [4.2670188122428954e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9970823526382446]
+Labels: ['Diabetes type 2']
+Scores: [0.07807556539773941]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721299
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Elasticity Imaging Techniques', 'Pilot Projects', 'Male', 'Female', 'Pancreas', 'Middle Aged', 'Adult', 'Case-Control Studies', 'Aged', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6579347252845764]
+Labels: ['Diabetes']
+Scores: [0.9997560381889343]
+Labels: ['Cancer']
+Scores: [9.39580422709696e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.012350346893072e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003197090409230441]
+Labels: ['Mental Health']
+Scores: [4.658362013287842e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.002354765310883522]
+Labels: ['Diabetes type 2']
+Scores: [0.001565822516568005]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720256
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Extracellular Vesicles', 'Osteoporosis', 'Animals', 'Diabetes Complications', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7404913306236267]
+Labels: ['Diabetes']
+Scores: [0.999256432056427]
+Labels: ['Cancer']
+Scores: [0.00023042653629090637]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011541986896190792]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00026134337531402707]
+Labels: ['Mental Health']
+Scores: [5.521331695490517e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.044359881430864334]
+Labels: ['Diabetes type 2']
+Scores: [0.03427785262465477]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9235341548919678]
+Labels: ['Diabetes']
+Scores: [0.9995697736740112]
+Labels: ['Cancer']
+Scores: [0.00010923144145635888]
+Labels: ['Chronic respiratory disease']
+Scores: [9.157154272543266e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10641667991876602]
+Labels: ['Mental Health']
+Scores: [4.868465111940168e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.002570384880527854]
+Labels: ['Diabetes type 2']
+Scores: [0.02581668645143509]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719762
+Predictions: ['Diabetes']
+MeshTerm: ['Particulate Matter', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Air Pollutants', 'Humans', 'Male', 'Prospective Studies', 'Air Pollution', 'Environmental Exposure', 'China', 'Aged', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0001119023872888647]
+Labels: ['Diabetes']
+Scores: [5.668030644301325e-05]
+Labels: ['Cancer']
+Scores: [6.214764289325103e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018521213496569544]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012123017222620547]
+Labels: ['Mental Health']
+Scores: [7.162451947806403e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001770392118487507]
+Labels: ['Diabetes type 2']
+Scores: [0.0001534575130790472]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719335
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Male', 'Female', 'Adult', 'Multimorbidity', 'Middle Aged', 'Chronic Disease', 'Prevalence', 'Aged', 'Hypertension', 'Obesity', 'Hyperuricemia', 'Dyslipidemias', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Adolescent', 'Rural Population', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8734723925590515]
+Labels: ['Diabetes']
+Scores: [4.6442917664535344e-05]
+Labels: ['Cancer']
+Scores: [4.9999489419860765e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013982821837998927]
+Labels: ['Cardiovascular diseases']
+Scores: [7.991003803908825e-05]
+Labels: ['Mental Health']
+Scores: [0.0001474441960453987]
+Labels: ['Diabetes type 1']
+Scores: [5.591490480583161e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.935505032539368e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719334
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Female', 'Male', 'Adult', 'Middle Aged', 'Prevalence', 'Hyperuricemia', 'Chronic Disease', 'Hypertension', 'Metabolic Diseases', 'Dyslipidemias', 'Aged', 'Diabetes Mellitus', 'Young Adult', 'Rural Population', 'Adolescent', 'Urban Population', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9666882157325745]
+Labels: ['Diabetes']
+Scores: [0.00010239906987408176]
+Labels: ['Cancer']
+Scores: [5.049374885857105e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001341563620371744]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016808256623335183]
+Labels: ['Mental Health']
+Scores: [6.977485463721678e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.384524021996185e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.33489723643288e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719258
+Predictions: ['Diabetes']
+MeshTerm: ['MicroRNAs', 'Humans', 'Wound Healing', 'Animals', 'Signal Transduction', 'Diabetes Complications', 'Diabetes Mellitus', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05495133250951767]
+Labels: ['Diabetes']
+Scores: [0.9984903931617737]
+Labels: ['Cancer']
+Scores: [0.000597214384470135]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018900817667599767]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00030734020401723683]
+Labels: ['Mental Health']
+Scores: [6.293584738159552e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.5540050268173218]
+Labels: ['Diabetes type 2']
+Scores: [0.8980278968811035]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718458
+Predictions: ['Diabetes']
+MeshTerm: ['Titanium', 'Insulin', 'Animals', 'Hypoglycemic Agents', 'Particle Size', 'Glucose', 'Materials Testing', 'Nanoparticles', 'Surface Properties', 'Biocompatible Materials', 'Diabetes Mellitus', 'Drug Delivery Systems', 'Mice', 'Diabetes Mellitus, Experimental', 'Humans', 'Boronic Acids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006311808712780476]
+Labels: ['Diabetes']
+Scores: [0.9361318945884705]
+Labels: ['Cancer']
+Scores: [9.031866648001596e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011286447988823056]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00024106931232381612]
+Labels: ['Mental Health']
+Scores: [5.0454091251594946e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.001124465255998075]
+Labels: ['Diabetes type 2']
+Scores: [0.0027651542332023382]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717102
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Postmenopause', 'Middle Aged', 'Coronary Disease', 'Cholesterol', 'Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Prevalence', 'United States', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9838908314704895]
+Labels: ['Diabetes']
+Scores: [0.22977294027805328]
+Labels: ['Cancer']
+Scores: [7.292499503819272e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.641221938887611e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9993630051612854]
+Labels: ['Mental Health']
+Scores: [5.92089636484161e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011120537965325639]
+Labels: ['Diabetes type 2']
+Scores: [0.00044745032209903]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717099
+Predictions: ['Diabetes']
+MeshTerm: ['Bibliometrics', 'Humans', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Inflammasomes', 'Diabetes Mellitus', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00022475644072983414]
+Labels: ['Diabetes']
+Scores: [0.999615490436554]
+Labels: ['Cancer']
+Scores: [0.0002976127725560218]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010340661538066342]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013528676936402917]
+Labels: ['Mental Health']
+Scores: [4.285905379219912e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0022279114928096533]
+Labels: ['Diabetes type 2']
+Scores: [0.059489861130714417]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716287
+Predictions: ['Diabetes']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Administration, Oral', 'Blood Glucose', 'Cholecalciferol', 'Creatine', 'Diabetes Mellitus', 'Dietary Supplements', 'Iran', 'Muscle Strength', 'Muscle, Skeletal', 'Oxidative Stress', 'Randomized Controlled Trials as Topic', 'Sarcopenia', 'Treatment Outcome', 'Valerates', 'Whey Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9582632184028625]
+Labels: ['Diabetes']
+Scores: [0.9762237071990967]
+Labels: ['Cancer']
+Scores: [8.554152009310201e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014576752437278628]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021311067044734955]
+Labels: ['Mental Health']
+Scores: [6.546660006279126e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.005094284191727638]
+Labels: ['Diabetes type 2']
+Scores: [0.029596857726573944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716100
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Gastrointestinal Microbiome', 'Kidney Transplantation', 'Postoperative Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9918538928031921]
+Labels: ['Diabetes']
+Scores: [0.9995086193084717]
+Labels: ['Cancer']
+Scores: [0.00010740479046944529]
+Labels: ['Chronic respiratory disease']
+Scores: [6.138008029665798e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.29165464639663696]
+Labels: ['Mental Health']
+Scores: [4.644220825866796e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.002124947961419821]
+Labels: ['Diabetes type 2']
+Scores: [0.04446549713611603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715819
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus', 'Egypt', 'Health Knowledge, Attitudes, Practice', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.959229588508606]
+Labels: ['Diabetes']
+Scores: [0.9997917413711548]
+Labels: ['Cancer']
+Scores: [0.00019685034931171685]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000181510578840971]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000369174696970731]
+Labels: ['Mental Health']
+Scores: [0.00013576910714618862]
+Labels: ['Diabetes type 1']
+Scores: [0.9612919092178345]
+Labels: ['Diabetes type 2']
+Scores: [0.9912460446357727]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39715497
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'COVID-19 Vaccines', 'Antibodies, Neutralizing', 'COVID-19', 'Female', 'HIV Infections', 'Middle Aged', 'Antibodies, Viral', 'Immunoglobulin G', 'SARS-CoV-2', 'Immunity, Humoral', 'Adult', 'Diabetes Mellitus', 'Vaccination', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9968000650405884]
+Labels: ['Diabetes']
+Scores: [0.9056870937347412]
+Labels: ['Cancer']
+Scores: [0.0002521795977372676]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3201092481613159]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004912735428661108]
+Labels: ['Mental Health']
+Scores: [9.218547347700223e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0023856274783611298]
+Labels: ['Diabetes type 2']
+Scores: [0.027028951793909073]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714194
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Middle Aged', 'Ischemic Stroke', 'Aged, 80 and over', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Age Factors', 'Blood Glucose', 'Prospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8419371843338013]
+Labels: ['Diabetes']
+Scores: [0.9906280040740967]
+Labels: ['Cancer']
+Scores: [8.749827975407243e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001589112071087584]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9107180833816528]
+Labels: ['Mental Health']
+Scores: [0.00018502655439078808]
+Labels: ['Diabetes type 1']
+Scores: [0.010111413896083832]
+Labels: ['Diabetes type 2']
+Scores: [0.03035849891602993]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714134
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Saliva', 'Metal-Organic Frameworks', 'Transistors, Electronic', 'Glucose', 'Electrodes', 'Biosensing Techniques', 'Electrochemical Techniques', 'Nickel', 'Particle Size']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011007474735379219]
+Labels: ['Diabetes']
+Scores: [0.7604324221611023]
+Labels: ['Cancer']
+Scores: [0.00015958886069711298]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016691941709723324]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000993800931610167]
+Labels: ['Mental Health']
+Scores: [4.61436684418004e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.002533835358917713]
+Labels: ['Diabetes type 2']
+Scores: [0.004066753666847944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12608641386032104]
+Labels: ['Diabetes']
+Scores: [0.9997953176498413]
+Labels: ['Cancer']
+Scores: [5.595723632723093e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001884216908365488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012341981346253306]
+Labels: ['Mental Health']
+Scores: [7.08869265508838e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0016576624475419521]
+Labels: ['Diabetes type 2']
+Scores: [0.016982564702630043]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709946
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Transcription Factor 7-Like 2 Protein', 'beta Catenin', 'Wnt3A Protein', 'Wnt Signaling Pathway', 'Diabetic Nephropathies', 'Animals', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16557466983795166]
+Labels: ['Diabetes']
+Scores: [0.9995282292366028]
+Labels: ['Cancer']
+Scores: [0.00010506900434847921]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017063888953998685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9983609914779663]
+Labels: ['Mental Health']
+Scores: [5.65209447813686e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0019918617326766253]
+Labels: ['Diabetes type 2']
+Scores: [0.8134669661521912]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709804
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vaccination Coverage', 'Cross-Sectional Studies', 'Influenza, Human', 'Male', 'Influenza Vaccines', 'Female', 'Europe', 'Middle Aged', 'Aged', 'Diabetes Mellitus', 'Seasons', 'Vaccination', 'Social Determinants of Health', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9850059747695923]
+Labels: ['Diabetes']
+Scores: [0.9527894854545593]
+Labels: ['Cancer']
+Scores: [0.00012979736493434757]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014792379923164845]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011495946819195524]
+Labels: ['Mental Health']
+Scores: [0.00011592538066906855]
+Labels: ['Diabetes type 1']
+Scores: [0.005151330027729273]
+Labels: ['Diabetes type 2']
+Scores: [0.014330640435218811]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709395
+Predictions: ['Diabetes']
+MeshTerm: ['Bayes Theorem', 'Humans', 'Software', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005211145034991205]
+Labels: ['Diabetes']
+Scores: [8.575592073611915e-05]
+Labels: ['Cancer']
+Scores: [0.00011788103438448161]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003090134996455163]
+Labels: ['Cardiovascular diseases']
+Scores: [8.053433703025803e-05]
+Labels: ['Mental Health']
+Scores: [7.901814387878403e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0017686643404886127]
+Labels: ['Diabetes type 2']
+Scores: [0.0008313982980325818]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Middle Aged', 'Retrospective Studies', 'Male', 'Adult', 'Female', 'Aged', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Aged, 80 and over', 'Oman', 'Body Mass Index', 'Blood Pressure', 'Young Adult', 'SARS-CoV-2', 'Hypertension', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.998153030872345]
+Labels: ['Diabetes']
+Scores: [0.9994562864303589]
+Labels: ['Cancer']
+Scores: [0.00020009253057651222]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9737572073936462]
+Labels: ['Cardiovascular diseases']
+Scores: [0.038514114916324615]
+Labels: ['Mental Health']
+Scores: [0.00015964526392053813]
+Labels: ['Diabetes type 1']
+Scores: [0.009547576308250427]
+Labels: ['Diabetes type 2']
+Scores: [0.2633989453315735]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707324
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Triglycerides', 'Longitudinal Studies', 'Male', 'Middle Aged', 'Female', 'Blood Glucose', 'China', 'Aged', 'Obesity', 'Risk Factors', 'Insulin Resistance', 'Diabetes Mellitus', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8445148468017578]
+Labels: ['Diabetes']
+Scores: [0.9673996567726135]
+Labels: ['Cancer']
+Scores: [0.00017278156883548945]
+Labels: ['Chronic respiratory disease']
+Scores: [9.233135642716661e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08236490935087204]
+Labels: ['Mental Health']
+Scores: [5.627294012811035e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0002707027015276253]
+Labels: ['Diabetes type 2']
+Scores: [0.0022075020242482424]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707271
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Erectile Dysfunction', 'Ethiopia', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Hospitals, Public', 'Prevalence', 'Risk Factors', 'Diabetes Mellitus', 'Poisson Distribution', 'Young Adult', 'Diabetes Complications', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9868872761726379]
+Labels: ['Diabetes']
+Scores: [0.9996290802955627]
+Labels: ['Cancer']
+Scores: [8.240482566179708e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.237479389412329e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004011434502899647]
+Labels: ['Mental Health']
+Scores: [0.022541016340255737]
+Labels: ['Diabetes type 1']
+Scores: [0.0006039568688720465]
+Labels: ['Diabetes type 2']
+Scores: [0.0012014418607577682]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707185
+Predictions: ['Diabetes']
+MeshTerm: ['Gastrointestinal Microbiome', 'Humans', 'Diabetes Mellitus', 'Protein Interaction Maps', 'Network Pharmacology', 'Proto-Oncogene Proteins c-akt', 'Metabolome', 'PPAR gamma', 'Signal Transduction', 'Metabolomics', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9543384313583374]
+Labels: ['Diabetes']
+Scores: [0.999848484992981]
+Labels: ['Cancer']
+Scores: [0.00012515723938122392]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00031087954994291067]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009282524697482586]
+Labels: ['Mental Health']
+Scores: [5.2624091040343046e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0027281194925308228]
+Labels: ['Diabetes type 2']
+Scores: [0.09937112033367157]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706370
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Glucose Tolerance Test', 'Adult', 'Blood Glucose', 'Hyperglycemia', 'Glycated Hemoglobin', 'Insulin Resistance', 'China', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Aged', 'Insulin', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5389676690101624]
+Labels: ['Diabetes']
+Scores: [0.9997333288192749]
+Labels: ['Cancer']
+Scores: [7.395762077067047e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.833934407448396e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005384571850299835]
+Labels: ['Mental Health']
+Scores: [4.895709935226478e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.002627664478495717]
+Labels: ['Diabetes type 2']
+Scores: [0.004099288955330849]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39705195
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cardio-Renal Syndrome', 'Diabetes Mellitus', 'Metabolic Diseases', 'Practice Guidelines as Topic', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03874041512608528]
+Labels: ['Diabetes']
+Scores: [0.9995977282524109]
+Labels: ['Cancer']
+Scores: [0.00013212005433160812]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00031905178911983967]
+Labels: ['Cardiovascular diseases']
+Scores: [0.995704710483551]
+Labels: ['Mental Health']
+Scores: [6.157398456707597e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.008785217069089413]
+Labels: ['Diabetes type 2']
+Scores: [0.41795945167541504]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703865
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Uric Acid', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Cholesterol, HDL', 'Prospective Studies', 'Adult', 'Biomarkers', 'Diabetes Mellitus', 'Prognosis', 'Aged', 'Nutrition Surveys', 'Cohort Studies', 'Follow-Up Studies', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05983169749379158]
+Labels: ['Diabetes']
+Scores: [0.9969263076782227]
+Labels: ['Cancer']
+Scores: [7.902217475930229e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.859225636115298e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.990641176700592]
+Labels: ['Mental Health']
+Scores: [4.463428558665328e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0018062080489471555]
+Labels: ['Diabetes type 2']
+Scores: [0.026603132486343384]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703057
+Predictions: ['Diabetes']
+MeshTerm: ['Strongyloides stercoralis', 'Strongyloidiasis', 'Animals', 'Humans', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7509427666664124]
+Labels: ['Diabetes']
+Scores: [0.9055473208427429]
+Labels: ['Cancer']
+Scores: [4.84898810100276e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00105458521284163]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011056916555389762]
+Labels: ['Mental Health']
+Scores: [8.296289888676256e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0038250377401709557]
+Labels: ['Diabetes type 2']
+Scores: [0.02084115333855152]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39702258
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nasopharynx', 'Male', 'Female', 'Case-Control Studies', 'Adult', 'Middle Aged', 'Ghana', 'Diabetes Mellitus', 'Aged', 'Bacteria', 'Young Adult', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9911929368972778]
+Labels: ['Diabetes']
+Scores: [0.9942253232002258]
+Labels: ['Cancer']
+Scores: [0.00011156554683111608]
+Labels: ['Chronic respiratory disease']
+Scores: [0.40637415647506714]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012905971379950643]
+Labels: ['Mental Health']
+Scores: [0.00012509830412454903]
+Labels: ['Diabetes type 1']
+Scores: [0.0016481586499139667]
+Labels: ['Diabetes type 2']
+Scores: [0.013460323214530945]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39702047
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Malaysia', 'Male', 'Mobile Applications', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Telemedicine', 'Self-Management', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Aged', 'Diabetes Mellitus, Type 2', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9461316466331482]
+Labels: ['Diabetes']
+Scores: [0.9993404150009155]
+Labels: ['Cancer']
+Scores: [4.3761458073277026e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.630970453144982e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.219520870829001e-05]
+Labels: ['Mental Health']
+Scores: [7.426367665175349e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0006814738735556602]
+Labels: ['Diabetes type 2']
+Scores: [0.002489308826625347]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39700129
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Bangladesh', 'Hyperglycemia', 'Middle Aged', 'Tertiary Care Centers', 'Diabetes Mellitus', 'Prospective Studies', 'Adult', 'Follow-Up Studies', 'Aged', 'SARS-CoV-2', 'Hospitalization', 'Patient Discharge', 'Risk Factors', 'Socioeconomic Factors', 'Hospital Mortality']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9300712943077087]
+Labels: ['Diabetes']
+Scores: [0.9706146717071533]
+Labels: ['Cancer']
+Scores: [0.00012014353706035763]
+Labels: ['Chronic respiratory disease']
+Scores: [0.36016085743904114]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005935822846367955]
+Labels: ['Mental Health']
+Scores: [0.0001615033543203026]
+Labels: ['Diabetes type 1']
+Scores: [0.0004311989468988031]
+Labels: ['Diabetes type 2']
+Scores: [0.0023604827001690865]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699704
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Hyperglycemia', 'Diabetes Mellitus', 'Risk Factors', 'Atherosclerosis', 'Blood Glucose']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9987805485725403]
+Labels: ['Diabetes']
+Scores: [0.9989916086196899]
+Labels: ['Cancer']
+Scores: [8.260284084826708e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003428619238547981]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997844099998474]
+Labels: ['Mental Health']
+Scores: [4.927950431010686e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0016742647858336568]
+Labels: ['Diabetes type 2']
+Scores: [0.015416991896927357]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39699431
+Predictions: ['Diabetes']
+MeshTerm: ['Quality of Life', 'Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Patient Education as Topic', 'Educational Technology', 'Adult', 'Aged', 'Surveys and Questionnaires', 'Controlled Before-After Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9930100440979004]
+Labels: ['Diabetes']
+Scores: [0.9996356964111328]
+Labels: ['Cancer']
+Scores: [0.0006179843912832439]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019865860231220722]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0027582577895373106]
+Labels: ['Mental Health']
+Scores: [0.001296746777370572]
+Labels: ['Diabetes type 1']
+Scores: [0.0008042306872084737]
+Labels: ['Diabetes type 2']
+Scores: [0.04464532062411308]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39698032
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Middle Aged', 'Intra-Abdominal Fat', 'Japan', 'Cohort Studies', 'Obesity, Abdominal', 'Adiposity', 'Diabetes Mellitus', 'Risk Factors', 'Blood Glucose', 'Longitudinal Studies', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.053683433681726456]
+Labels: ['Diabetes']
+Scores: [0.9988842606544495]
+Labels: ['Cancer']
+Scores: [0.00014033813204150647]
+Labels: ['Chronic respiratory disease']
+Scores: [4.6065430069575086e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003088395460508764]
+Labels: ['Mental Health']
+Scores: [3.927357101929374e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0060942876152694225]
+Labels: ['Diabetes type 2']
+Scores: [0.04420360550284386]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696515
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Uric Acid', 'C-Reactive Protein', 'Male', 'Female', 'Insulin Resistance', 'Triglycerides', 'Cholesterol, HDL', 'Adult', 'Middle Aged', 'Risk Factors', 'Sex Factors', 'Diabetes Mellitus', 'Mediation Analysis', 'Biomarkers', 'Sex Characteristics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9277940988540649]
+Labels: ['Diabetes']
+Scores: [0.9971091151237488]
+Labels: ['Cancer']
+Scores: [6.627944821957499e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002475552028045058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8670859932899475]
+Labels: ['Mental Health']
+Scores: [5.024139318265952e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001375387073494494]
+Labels: ['Diabetes type 2']
+Scores: [0.0003365518350619823]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696157
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'China', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Health Services Needs and Demand', 'Diabetes Mellitus', 'Young Adult', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Mass Screening', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10171777009963989]
+Labels: ['Diabetes']
+Scores: [0.9998052716255188]
+Labels: ['Cancer']
+Scores: [5.872809197171591e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.271221016300842e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005875082220882177]
+Labels: ['Mental Health']
+Scores: [4.9193698941962793e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000433592707850039]
+Labels: ['Diabetes type 2']
+Scores: [0.0022881110198795795]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696101
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Middle Aged', 'Health Surveys', 'Young Adult', 'Risk Factors', 'Sex Factors', 'Undiagnosed Diseases', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9950606822967529]
+Labels: ['Diabetes']
+Scores: [0.9996991753578186]
+Labels: ['Cancer']
+Scores: [6.482752360170707e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.256661774590611e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004024097870569676]
+Labels: ['Mental Health']
+Scores: [9.497723658569157e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.057174745947122574]
+Labels: ['Diabetes type 2']
+Scores: [0.8672218322753906]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695649
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Diabetes Mellitus', 'Neural Networks, Computer', 'Middle Aged', 'Female', 'Male', 'Models, Statistical', 'Support Vector Machine', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6729285717010498]
+Labels: ['Diabetes']
+Scores: [0.9998311996459961]
+Labels: ['Cancer']
+Scores: [9.870439680526033e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018029332568403333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001826537336455658]
+Labels: ['Mental Health']
+Scores: [9.738894004840404e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.010435894131660461]
+Labels: ['Diabetes type 2']
+Scores: [0.8859129548072815]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695632
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Malawi', 'Qualitative Research', 'Female', 'Diabetes Mellitus', 'Focus Groups', 'Health Knowledge, Attitudes, Practice', 'Adult', 'Male', 'Nursing Staff, Hospital', 'Tertiary Care Centers', 'Clinical Competence', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9921509027481079]
+Labels: ['Diabetes']
+Scores: [0.9996541142463684]
+Labels: ['Cancer']
+Scores: [0.00014030664169695228]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000414618436479941]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014222393510863185]
+Labels: ['Mental Health']
+Scores: [0.00014177967386785895]
+Labels: ['Diabetes type 1']
+Scores: [0.005112955346703529]
+Labels: ['Diabetes type 2']
+Scores: [0.6445761322975159]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695379
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cluster Analysis', 'Regression Analysis', 'Models, Statistical', 'Algorithms', 'Diabetes Mellitus', 'Data Interpretation, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0002015354548348114]
+Labels: ['Diabetes']
+Scores: [6.207206752151251e-05]
+Labels: ['Cancer']
+Scores: [6.312922050710768e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.121098653646186e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.127576827770099e-05]
+Labels: ['Mental Health']
+Scores: [0.00016160387895070016]
+Labels: ['Diabetes type 1']
+Scores: [0.0001905543467728421]
+Labels: ['Diabetes type 2']
+Scores: [0.0001493235758971423]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693799
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Prediabetic State', 'Incidence', 'Middle Aged', 'Depression', 'Triglycerides', 'United States', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Diabetes Mellitus', 'Aged', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9734429121017456]
+Labels: ['Diabetes']
+Scores: [0.9829272031784058]
+Labels: ['Cancer']
+Scores: [6.108723755460232e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013256205420475453]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07142249494791031]
+Labels: ['Mental Health']
+Scores: [0.9933987855911255]
+Labels: ['Diabetes type 1']
+Scores: [0.25370627641677856]
+Labels: ['Diabetes type 2']
+Scores: [0.013087418861687183]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39693267
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Renal Dialysis', 'Kidney Failure, Chronic', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Blood Glucose', 'Precision Medicine', 'Hypoglycemic Agents', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9310340881347656]
+Labels: ['Diabetes']
+Scores: [0.9998388290405273]
+Labels: ['Cancer']
+Scores: [0.0001049083293764852]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014319780166260898]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05385775864124298]
+Labels: ['Mental Health']
+Scores: [6.375629163812846e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.006853449624031782]
+Labels: ['Diabetes type 2']
+Scores: [0.013164562173187733]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39692388
+Predictions: ['Diabetes']
+MeshTerm: ['Adolescent', 'Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Young Adult', 'Arabs', 'Chronic Disease', 'Diabetes Mellitus', 'Health Status Disparities', 'Israel', 'Jews', 'Obesity', 'Prevalence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8276491761207581]
+Labels: ['Diabetes']
+Scores: [5.2674553444376215e-05]
+Labels: ['Cancer']
+Scores: [6.532068073283881e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.911839202279225e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.578602187801152e-05]
+Labels: ['Mental Health']
+Scores: [0.00017765075608622283]
+Labels: ['Diabetes type 1']
+Scores: [6.28253401373513e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.385170127032325e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39686708
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Glycated Hemoglobin', 'Time Factors', 'Biometry', 'Models, Statistical', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003087860532104969]
+Labels: ['Diabetes']
+Scores: [0.7835885286331177]
+Labels: ['Cancer']
+Scores: [0.00024687140830792487]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003921242314390838]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002463023643940687]
+Labels: ['Mental Health']
+Scores: [5.77400678594131e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0649155005812645]
+Labels: ['Diabetes type 2']
+Scores: [0.031305793672800064]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686687
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Colorectal Neoplasms', 'Metabolic Syndrome', 'Middle Aged', 'Early Detection of Cancer', 'Male', 'Europe', 'Female', 'Adult', 'Diabetes Mellitus', 'North America', 'Age Factors', 'Risk Factors', 'Mass Screening', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9939982891082764]
+Labels: ['Diabetes']
+Scores: [0.9794072508811951]
+Labels: ['Cancer']
+Scores: [0.9963057637214661]
+Labels: ['Chronic respiratory disease']
+Scores: [8.900269313016906e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004418555647134781]
+Labels: ['Mental Health']
+Scores: [7.362032192759216e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00029226994956843555]
+Labels: ['Diabetes type 2']
+Scores: [0.0006069742958061397]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39684919
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cyclin-Dependent Kinase Inhibitor p21', 'Diabetes Mellitus', 'Animals', 'Metabolic Diseases', 'Insulin Resistance', 'DNA Damage']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6859819889068604]
+Labels: ['Diabetes']
+Scores: [0.9998061060905457]
+Labels: ['Cancer']
+Scores: [0.18195049464702606]
+Labels: ['Chronic respiratory disease']
+Scores: [7.273608935065567e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013805788476020098]
+Labels: ['Mental Health']
+Scores: [4.210541374050081e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.001182115520350635]
+Labels: ['Diabetes type 2']
+Scores: [0.0038737854920327663]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684905
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Cats', 'Insulin', 'Signal Transduction', 'Muscle, Skeletal', 'Biomarkers', 'Liver', 'Cat Diseases', 'Male', 'Pancreas', 'Diabetes Mellitus', 'Receptor, Insulin', 'Female', 'Insulin Resistance', 'Insulin Receptor Substrate Proteins', 'Glucagon-Like Peptide 1', 'Incretins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9952394962310791]
+Labels: ['Diabetes']
+Scores: [0.998005747795105]
+Labels: ['Cancer']
+Scores: [5.835422780364752e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.554020051728003e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001660832786001265]
+Labels: ['Mental Health']
+Scores: [4.478511982597411e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0363244004547596]
+Labels: ['Diabetes type 2']
+Scores: [0.6141868829727173]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684868
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nanostructures', 'Pancreatic Diseases', 'Animals', 'Drug Delivery Systems', 'Pancreatic Neoplasms', 'Diabetes Mellitus', 'Drug Carriers', 'Pancreas']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042208489030599594]
+Labels: ['Diabetes']
+Scores: [0.9966669678688049]
+Labels: ['Cancer']
+Scores: [0.982489287853241]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014944658323656768]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002104536979459226]
+Labels: ['Mental Health']
+Scores: [4.899923806078732e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0013903304934501648]
+Labels: ['Diabetes type 2']
+Scores: [0.0011850422015413642]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684468
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Apolipoprotein C-III', 'Cardiovascular Diseases', 'Animals', 'Diabetes Mellitus', 'Metabolic Diseases', 'Lipoproteins', 'Triglycerides', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05026518926024437]
+Labels: ['Diabetes']
+Scores: [0.9998047947883606]
+Labels: ['Cancer']
+Scores: [0.00015334216004703194]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014947816089261323]
+Labels: ['Cardiovascular diseases']
+Scores: [0.999670684337616]
+Labels: ['Mental Health']
+Scores: [3.89786837331485e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.006675079930573702]
+Labels: ['Diabetes type 2']
+Scores: [0.29331421852111816]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684379
+Predictions: ['Diabetes']
+MeshTerm: ['Leptin', 'Humans', 'Obesity', 'Metabolic Diseases', 'Diabetes Mellitus', 'Female', 'Male', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3034543991088867]
+Labels: ['Diabetes']
+Scores: [0.9978724122047424]
+Labels: ['Cancer']
+Scores: [0.00013057344767730683]
+Labels: ['Chronic respiratory disease']
+Scores: [9.466880874242634e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0024582520127296448]
+Labels: ['Mental Health']
+Scores: [6.940231105545536e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.017971830442547798]
+Labels: ['Diabetes type 2']
+Scores: [0.004549892619252205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Acetamides', 'Diabetes Mellitus', 'Depression', 'Antidepressive Agents', 'Depressive Disorder, Major', 'Blood Glucose', 'Glycated Hemoglobin', 'Treatment Outcome', 'Naphthalenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9562574625015259]
+Labels: ['Diabetes']
+Scores: [0.9997128248214722]
+Labels: ['Cancer']
+Scores: [9.916322596836835e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021030896459706128]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007619588868692517]
+Labels: ['Mental Health']
+Scores: [0.10524879395961761]
+Labels: ['Diabetes type 1']
+Scores: [0.0025324085727334023]
+Labels: ['Diabetes type 2']
+Scores: [0.015561636537313461]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683638
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ferritins', 'Male', 'Middle Aged', 'Female', 'Mongolia', 'Cross-Sectional Studies', 'Cardiovascular Diseases', 'Meat', 'Diet', 'Heart Disease Risk Factors', 'Adult', 'Biomarkers', 'Aged', 'Diabetes Mellitus', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9557726979255676]
+Labels: ['Diabetes']
+Scores: [0.9993085265159607]
+Labels: ['Cancer']
+Scores: [0.0001308047940256074]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001307808212004602]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9985232353210449]
+Labels: ['Mental Health']
+Scores: [7.021585770417005e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00036515138344839215]
+Labels: ['Diabetes type 2']
+Scores: [0.0015793818747624755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39683480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Blood Glucose', 'Independent Living', 'Italy', 'Fatty Acids, Unsaturated', 'Diabetes Mellitus', 'Aged, 80 and over', 'Diet', 'Blood Pressure', 'Cardiometabolic Risk Factors', 'Fatty Acids, Omega-3', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9843252897262573]
+Labels: ['Diabetes']
+Scores: [0.884897768497467]
+Labels: ['Cancer']
+Scores: [0.0002940482518170029]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006688414141535759]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03878333419561386]
+Labels: ['Mental Health']
+Scores: [0.00012343275011517107]
+Labels: ['Diabetes type 1']
+Scores: [0.00016541610239073634]
+Labels: ['Diabetes type 2']
+Scores: [0.0002307228569407016]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683416
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Dietary Supplements', 'Female', 'Nutrition Surveys', 'Male', 'Middle Aged', 'Adult', 'United States', 'Diabetes Mellitus', 'Motivation', 'Aged', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9800094366073608]
+Labels: ['Diabetes']
+Scores: [0.9997947812080383]
+Labels: ['Cancer']
+Scores: [0.00012902858725283295]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003799147089011967]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022860593162477016]
+Labels: ['Mental Health']
+Scores: [0.00010069384734379128]
+Labels: ['Diabetes type 1']
+Scores: [0.0005240925238467753]
+Labels: ['Diabetes type 2']
+Scores: [0.01636761985719204]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39681993
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Dogs', 'Dog Diseases', 'Fatty Liver', 'Tomography, X-Ray Computed', 'Male', 'Liver', 'Female', 'Diabetic Ketoacidosis', 'Diabetes Mellitus', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1514076441526413]
+Labels: ['Diabetes']
+Scores: [0.4984084665775299]
+Labels: ['Cancer']
+Scores: [0.00012006856559310108]
+Labels: ['Chronic respiratory disease']
+Scores: [7.196863589342684e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018845043086912483]
+Labels: ['Mental Health']
+Scores: [4.619232640834525e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.1375630497932434]
+Labels: ['Diabetes type 2']
+Scores: [0.5304409265518188]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681831
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Fear', 'Feeding Behavior', 'Diabetes Mellitus', 'Cognitive Behavioral Therapy', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8807383179664612]
+Labels: ['Diabetes']
+Scores: [0.9997752904891968]
+Labels: ['Cancer']
+Scores: [6.479347212007269e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013533604214899242]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9456170797348022]
+Labels: ['Mental Health']
+Scores: [0.8799107670783997]
+Labels: ['Diabetes type 1']
+Scores: [0.0002600340230856091]
+Labels: ['Diabetes type 2']
+Scores: [0.0010870764963328838]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681614
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Polyradiculoneuropathy, Chronic Inflammatory Demyelinating', 'Male', 'Diabetic Neuropathies', 'Female', 'Middle Aged', 'Ultrasonography', 'Diagnosis, Differential', 'Aged', 'Neural Conduction', 'ROC Curve', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9911813139915466]
+Labels: ['Diabetes']
+Scores: [0.9994652271270752]
+Labels: ['Cancer']
+Scores: [0.0005842754617333412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010002459166571498]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018825514242053032]
+Labels: ['Mental Health']
+Scores: [0.00014874774205964059]
+Labels: ['Diabetes type 1']
+Scores: [0.9941709041595459]
+Labels: ['Diabetes type 2']
+Scores: [0.9969034194946289]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39681186
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Risk Factors', 'Nutrition Surveys', 'United States', 'Dementia', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Obesity', 'Smoking', 'Hypertension', 'Alcohol Drinking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9984375238418579]
+Labels: ['Diabetes']
+Scores: [0.9958962798118591]
+Labels: ['Cancer']
+Scores: [0.00011065712897107005]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003520181169733405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006910238415002823]
+Labels: ['Mental Health']
+Scores: [0.0032142475247383118]
+Labels: ['Diabetes type 1']
+Scores: [0.00040959639591164887]
+Labels: ['Diabetes type 2']
+Scores: [0.0018190654227510095]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39680279
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Recurrence', 'Computer Simulation', 'Models, Statistical', 'Proportional Hazards Models', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03123905323445797]
+Labels: ['Diabetes']
+Scores: [0.23200438916683197]
+Labels: ['Cancer']
+Scores: [0.0001025495512294583]
+Labels: ['Chronic respiratory disease']
+Scores: [7.900379569036886e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017201612936332822]
+Labels: ['Mental Health']
+Scores: [0.00017031628522090614]
+Labels: ['Diabetes type 1']
+Scores: [0.0014862284297123551]
+Labels: ['Diabetes type 2']
+Scores: [0.001718444051221013]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680083
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Bursitis', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Aged', 'Dilatation', 'Range of Motion, Articular', 'Shoulder Joint', 'Treatment Outcome', 'Pain Measurement', 'Adult', 'Diabetes Mellitus', 'Diabetes Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13481618463993073]
+Labels: ['Diabetes']
+Scores: [0.9996703267097473]
+Labels: ['Cancer']
+Scores: [7.870572153478861e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.914355617482215e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018144567729905248]
+Labels: ['Mental Health']
+Scores: [3.90302921005059e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0016443163622170687]
+Labels: ['Diabetes type 2']
+Scores: [0.0024308827705681324]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678201
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Food Insecurity', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Adult', 'Social Class', 'Family Characteristics', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9073928594589233]
+Labels: ['Diabetes']
+Scores: [0.9677384495735168]
+Labels: ['Cancer']
+Scores: [4.313117096899077e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.092562787467614e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9295929670333862]
+Labels: ['Mental Health']
+Scores: [8.0153375165537e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013932317961007357]
+Labels: ['Diabetes type 2']
+Scores: [0.0003100164467468858]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39676179
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Holistic Health', 'Mind-Body Therapies', 'Diabetes Mellitus', 'Neurosecretory Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9444265365600586]
+Labels: ['Diabetes']
+Scores: [0.9998013973236084]
+Labels: ['Cancer']
+Scores: [5.1980881835334e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022300443379208446]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011147845536470413]
+Labels: ['Mental Health']
+Scores: [0.013538915663957596]
+Labels: ['Diabetes type 1']
+Scores: [0.0003371255297679454]
+Labels: ['Diabetes type 2']
+Scores: [0.000635049189440906]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675484
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Adult', 'Aged', 'Body Mass Index', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8983211517333984]
+Labels: ['Diabetes']
+Scores: [0.9996984601020813]
+Labels: ['Cancer']
+Scores: [9.598166798241436e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013335280527826399]
+Labels: ['Cardiovascular diseases']
+Scores: [0.947526752948761]
+Labels: ['Mental Health']
+Scores: [7.905141683295369e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.004214653745293617]
+Labels: ['Diabetes type 2']
+Scores: [0.16619428992271423]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39674445
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Arsenic', 'Homeostasis', 'Animals', 'Glucose', 'Diabetes Mellitus', 'Microbiota', 'Gastrointestinal Microbiome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8335155844688416]
+Labels: ['Diabetes']
+Scores: [0.9879064559936523]
+Labels: ['Cancer']
+Scores: [0.0019892994314432144]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00028248809394426644]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002821275556925684]
+Labels: ['Mental Health']
+Scores: [7.092271698638797e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.01081760786473751]
+Labels: ['Diabetes type 2']
+Scores: [0.020398395135998726]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673957
+Predictions: ['Diabetes']
+MeshTerm: ['Acetone', 'Zinc Oxide', 'Biosensing Techniques', 'Humans', 'Optical Fibers', 'Diabetes Mellitus', 'Biomarkers', 'Limit of Detection', 'Breath Tests', 'Equipment Design', 'Volatile Organic Compounds', 'Fiber Optic Technology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0477888323366642]
+Labels: ['Diabetes']
+Scores: [0.9987912178039551]
+Labels: ['Cancer']
+Scores: [8.021916437428445e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8091953992843628]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017057525692507625]
+Labels: ['Mental Health']
+Scores: [6.351056072162464e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.003088975790888071]
+Labels: ['Diabetes type 2']
+Scores: [0.006747380830347538]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673919
+Predictions: ['Diabetes', 'Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Incidence', 'Adult', 'Aged', 'Diabetes Mellitus', 'New Zealand', 'Young Adult', 'Registries', 'Cohort Studies', 'Adolescent', 'Aged, 80 and over', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999083936214447]
+Labels: ['Diabetes']
+Scores: [0.9990531206130981]
+Labels: ['Cancer']
+Scores: [0.9995151162147522]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002922021085396409]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017051934264600277]
+Labels: ['Mental Health']
+Scores: [0.00024251813010778278]
+Labels: ['Diabetes type 1']
+Scores: [0.0012887758202850819]
+Labels: ['Diabetes type 2']
+Scores: [0.0028923428617417812]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673498
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Female', 'Self Care', 'Primary Health Care', 'Middle Aged', 'Aged', 'Follow-Up Studies', 'Longitudinal Studies', 'Hypertension', 'Coronary Artery Disease', 'Diabetes Mellitus', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019809121266007423]
+Labels: ['Diabetes']
+Scores: [0.00020094221690669656]
+Labels: ['Cancer']
+Scores: [0.00012807887105736881]
+Labels: ['Chronic respiratory disease']
+Scores: [9.597370080882683e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014693415141664445]
+Labels: ['Mental Health']
+Scores: [0.0008284328505396843]
+Labels: ['Diabetes type 1']
+Scores: [0.0006266335258260369]
+Labels: ['Diabetes type 2']
+Scores: [0.0006387039902620018]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39672014
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Artificial Intelligence', 'Machine Learning', 'Deep Learning', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12144802510738373]
+Labels: ['Diabetes']
+Scores: [0.9997855424880981]
+Labels: ['Cancer']
+Scores: [0.00018161411571782082]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00035537537769414485]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023742560297250748]
+Labels: ['Mental Health']
+Scores: [0.00019205969874747097]
+Labels: ['Diabetes type 1']
+Scores: [0.03500789776444435]
+Labels: ['Diabetes type 2']
+Scores: [0.2065121978521347]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671511
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Male', 'Female', 'Cross-Sectional Studies', 'Hypertension', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Exercise', 'Coronary Artery Disease', 'Prospective Studies', 'Young Adult', 'Cardiometabolic Risk Factors', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9745883345603943]
+Labels: ['Diabetes']
+Scores: [0.0074136266484856606]
+Labels: ['Cancer']
+Scores: [6.104597559897229e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00025847888900898397]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9931032657623291]
+Labels: ['Mental Health']
+Scores: [0.0003339468967169523]
+Labels: ['Diabetes type 1']
+Scores: [0.00023283209884539247]
+Labels: ['Diabetes type 2']
+Scores: [0.0005527582252398133]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39671417
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Female', 'Male', 'COVID-19', 'Adult', 'Diabetes Mellitus', 'Middle Aged', 'Puerto Rico', 'COVID-19 Vaccines', 'Aged', 'Surveys and Questionnaires', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.92890864610672]
+Labels: ['Diabetes']
+Scores: [0.8045467138290405]
+Labels: ['Cancer']
+Scores: [6.92239118507132e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9175205826759338]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9772964715957642]
+Labels: ['Mental Health']
+Scores: [0.000117547380796168]
+Labels: ['Diabetes type 1']
+Scores: [0.00021619477774947882]
+Labels: ['Diabetes type 2']
+Scores: [0.001230882597155869]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39670874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Liver Diseases', 'Aged', 'Analgesics, Opioid', 'United States', 'Liver Cirrhosis', 'Chronic Disease', 'Cohort Studies', 'Liver Neoplasms', 'Diabetes Mellitus', 'Logistic Models', 'Arthritis', 'Health Surveys', 'Chronic Pain', 'Hepatitis, Viral, Human', 'Renal Insufficiency, Chronic', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0076057384721934795]
+Labels: ['Diabetes']
+Scores: [5.124545350554399e-05]
+Labels: ['Cancer']
+Scores: [8.788846753304824e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001971074816538021]
+Labels: ['Cardiovascular diseases']
+Scores: [6.339549872791395e-05]
+Labels: ['Mental Health']
+Scores: [0.00010546771954977885]
+Labels: ['Diabetes type 1']
+Scores: [5.658554800902493e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.106613025418483e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670442
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Animals', 'Lipocalin-2', 'Diabetic Neuropathies', 'Oxidative Stress', 'Molecular Targeted Therapy', 'Quality of Life', 'Cognitive Dysfunction', 'Drug Development', 'Blood-Brain Barrier', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9652285575866699]
+Labels: ['Diabetes']
+Scores: [0.9998422861099243]
+Labels: ['Cancer']
+Scores: [9.450640209252015e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.337441977346316e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00025945380912162364]
+Labels: ['Mental Health']
+Scores: [0.0006820751004852355]
+Labels: ['Diabetes type 1']
+Scores: [0.026347355917096138]
+Labels: ['Diabetes type 2']
+Scores: [0.9987033009529114]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39670363
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Computational Biology', 'Diabetes Mellitus', 'Benchmarking', 'Blood Glucose', 'Wearable Electronic Devices', 'Smartphone', 'Mobile Applications', 'Language', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04657351225614548]
+Labels: ['Diabetes']
+Scores: [0.9996254444122314]
+Labels: ['Cancer']
+Scores: [0.0001222133869305253]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003749942989088595]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005034184432588518]
+Labels: ['Mental Health']
+Scores: [0.00010236821981379762]
+Labels: ['Diabetes type 1']
+Scores: [0.007746909279376268]
+Labels: ['Diabetes type 2']
+Scores: [0.01791657693684101]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39667764
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Diabetic Foot', 'Osteomyelitis', 'Diabetes Mellitus', 'Anti-Infective Agents, Local']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9922832250595093]
+Labels: ['Diabetes']
+Scores: [0.9984554052352905]
+Labels: ['Cancer']
+Scores: [0.00041473773308098316]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00044082215754315257]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00028408615617081523]
+Labels: ['Mental Health']
+Scores: [0.0001948917197296396]
+Labels: ['Diabetes type 1']
+Scores: [0.0035737319849431515]
+Labels: ['Diabetes type 2']
+Scores: [0.010568231344223022]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39666834
+Predictions: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Aged', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9961971640586853]
+Labels: ['Diabetes']
+Scores: [0.9997977018356323]
+Labels: ['Cancer']
+Scores: [0.00011406097473809496]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003403436567168683]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9990087151527405]
+Labels: ['Mental Health']
+Scores: [0.00017828379350248724]
+Labels: ['Diabetes type 1']
+Scores: [0.005270952358841896]
+Labels: ['Diabetes type 2']
+Scores: [0.14786289632320404]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39666732
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Insulin', 'Aged', 'Diabetes Mellitus', 'Hospitalization', 'Frail Elderly', 'Hypoglycemic Agents', 'Female', 'Male', 'Hospitals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7019495368003845]
+Labels: ['Diabetes']
+Scores: [0.9967589974403381]
+Labels: ['Cancer']
+Scores: [6.603750807698816e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.706298492848873e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.197508916258812e-05]
+Labels: ['Mental Health']
+Scores: [4.745031401398592e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.001301008160226047]
+Labels: ['Diabetes type 2']
+Scores: [0.001153361052274704]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39666445
+Predictions: ['Diabetes']
+MeshTerm: ['Bone Regeneration', 'Humans', 'Drug Delivery Systems', 'Animals', 'Diabetes Mellitus', 'Neovascularization, Physiologic', 'Osteogenesis', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6969068646430969]
+Labels: ['Diabetes']
+Scores: [0.9997256398200989]
+Labels: ['Cancer']
+Scores: [0.0008049834286794066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011334646842442453]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000275838072411716]
+Labels: ['Mental Health']
+Scores: [4.63141332147643e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00791809894144535]
+Labels: ['Diabetes type 2']
+Scores: [0.016763117164373398]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3426448404788971]
+Labels: ['Diabetes']
+Scores: [0.9991878867149353]
+Labels: ['Cancer']
+Scores: [6.405288877431303e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.250374619616196e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004938851343467832]
+Labels: ['Mental Health']
+Scores: [5.6180891988333315e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9908948540687561]
+Labels: ['Diabetes type 2']
+Scores: [0.9990792274475098]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666397
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'COVID-19', 'Invasive Pulmonary Aspergillosis', 'Retrospective Studies', 'Case-Control Studies', 'Aged', 'Severity of Illness Index', 'SARS-CoV-2', 'Smoking', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.38055166602134705]
+Labels: ['Diabetes']
+Scores: [0.16993151605129242]
+Labels: ['Cancer']
+Scores: [0.0003735302889253944]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5117499828338623]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9660428762435913]
+Labels: ['Mental Health']
+Scores: [0.00011320571502437815]
+Labels: ['Diabetes type 1']
+Scores: [0.00012829095066990703]
+Labels: ['Diabetes type 2']
+Scores: [0.00017702433979138732]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39665943
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vascular Stiffness', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Middle Aged', 'Hypertension', 'Glomerular Filtration Rate', 'Aged', 'Biomarkers', 'Albuminuria', 'Kidney', 'Cross-Sectional Studies', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8990360498428345]
+Labels: ['Diabetes']
+Scores: [0.4862496554851532]
+Labels: ['Cancer']
+Scores: [4.466818063519895e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019613318727351725]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9992966651916504]
+Labels: ['Mental Health']
+Scores: [3.781139457714744e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0005269466200843453]
+Labels: ['Diabetes type 2']
+Scores: [0.011372750625014305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665157
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Protein Glutamine gamma Glutamyltransferase 2', 'Transglutaminases', 'Male', 'Female', 'Aged', 'Vasodilation', 'Endothelium, Vascular', 'GTP-Binding Proteins', 'Arteries', 'Vascular Resistance', 'Sex Factors', 'Diabetes Mellitus', 'Vasodilator Agents', 'Enzyme Inhibitors', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019668634980916977]
+Labels: ['Diabetes']
+Scores: [0.9994092583656311]
+Labels: ['Cancer']
+Scores: [8.753449947107583e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013566494453698397]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9932859539985657]
+Labels: ['Mental Health']
+Scores: [4.714582973974757e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.01307120081037283]
+Labels: ['Diabetes type 2']
+Scores: [0.9888903498649597]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05550174415111542]
+Labels: ['Diabetes']
+Scores: [6.788937753299251e-05]
+Labels: ['Cancer']
+Scores: [0.9997256398200989]
+Labels: ['Chronic respiratory disease']
+Scores: [7.988266588654369e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002603332104627043]
+Labels: ['Mental Health']
+Scores: [5.839801087859087e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.693319589132443e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.841889600967988e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011658984236419201]
+Labels: ['Diabetes']
+Scores: [0.00010594350169412792]
+Labels: ['Cancer']
+Scores: [0.9977118968963623]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00026685933698900044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023979337129276246]
+Labels: ['Mental Health']
+Scores: [7.669974729651585e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0005705403164029121]
+Labels: ['Diabetes type 2']
+Scores: [0.0004277240368537605]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020297018811106682]
+Labels: ['Diabetes']
+Scores: [5.415459236246534e-05]
+Labels: ['Cancer']
+Scores: [0.999731183052063]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007554973009973764]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019787672499660403]
+Labels: ['Mental Health']
+Scores: [4.79236914543435e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.627701804973185e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.135802686912939e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0072512575425207615]
+Labels: ['Diabetes']
+Scores: [6.519698945339769e-05]
+Labels: ['Cancer']
+Scores: [0.9998215436935425]
+Labels: ['Chronic respiratory disease']
+Scores: [6.0506430600071326e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.697701948927715e-05]
+Labels: ['Mental Health']
+Scores: [4.034258745377883e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.815802044002339e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.390969065250829e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1466255933046341]
+Labels: ['Diabetes']
+Scores: [0.0001616900262888521]
+Labels: ['Cancer']
+Scores: [0.9895033836364746]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001387257216265425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012892053928226233]
+Labels: ['Mental Health']
+Scores: [4.5188964577391744e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00012837159738410264]
+Labels: ['Diabetes type 2']
+Scores: [0.00010470306006027386]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07637687772512436]
+Labels: ['Diabetes']
+Scores: [7.281290891114622e-05]
+Labels: ['Cancer']
+Scores: [0.9994140863418579]
+Labels: ['Chronic respiratory disease']
+Scores: [9.358450188301504e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001132473917095922]
+Labels: ['Mental Health']
+Scores: [5.406970376498066e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00012035196414217353]
+Labels: ['Diabetes type 2']
+Scores: [0.00011751258716685697]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00064884900348261]
+Labels: ['Diabetes']
+Scores: [6.219839269760996e-05]
+Labels: ['Cancer']
+Scores: [0.9984897375106812]
+Labels: ['Chronic respiratory disease']
+Scores: [6.315579958027229e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.382703577401116e-05]
+Labels: ['Mental Health']
+Scores: [4.3669169826898724e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.13408478279598e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.76218221290037e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0018465353641659021]
+Labels: ['Diabetes']
+Scores: [0.00012909050565212965]
+Labels: ['Cancer']
+Scores: [0.9892628788948059]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001258053962374106]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002301008062204346]
+Labels: ['Mental Health']
+Scores: [4.637916572391987e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013565953122451901]
+Labels: ['Diabetes type 2']
+Scores: [0.00012025193427689373]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2979751229286194]
+Labels: ['Diabetes']
+Scores: [4.6169618144631386e-05]
+Labels: ['Cancer']
+Scores: [0.9982233643531799]
+Labels: ['Chronic respiratory disease']
+Scores: [4.859406180912629e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.84165458753705e-05]
+Labels: ['Mental Health']
+Scores: [5.772974691353738e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.216868546791375e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.270795398042537e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003984763752669096]
+Labels: ['Diabetes']
+Scores: [8.69320792844519e-05]
+Labels: ['Cancer']
+Scores: [0.9994353652000427]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017036964709404856]
+Labels: ['Cardiovascular diseases']
+Scores: [9.9049779237248e-05]
+Labels: ['Mental Health']
+Scores: [3.587163155316375e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00018132964032702148]
+Labels: ['Diabetes type 2']
+Scores: [0.0001537720818305388]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008232717402279377]
+Labels: ['Diabetes']
+Scores: [5.790711657027714e-05]
+Labels: ['Cancer']
+Scores: [0.9995641708374023]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002998031908646226]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015971854736562818]
+Labels: ['Mental Health']
+Scores: [4.1330469684908167e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.641414099955e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.9985454097623006e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8420645594596863]
+Labels: ['Diabetes']
+Scores: [0.0004401928454171866]
+Labels: ['Cancer']
+Scores: [0.9785788655281067]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00036090778303332627]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006041413173079491]
+Labels: ['Mental Health']
+Scores: [0.00011423436080804095]
+Labels: ['Diabetes type 1']
+Scores: [0.0008609062060713768]
+Labels: ['Diabetes type 2']
+Scores: [0.0006099184392951429]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9992731213569641]
+Labels: ['Diabetes']
+Scores: [0.00018058977730106562]
+Labels: ['Cancer']
+Scores: [0.9998322129249573]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018002386786974967]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002746030455455184]
+Labels: ['Mental Health']
+Scores: [0.0001022053838823922]
+Labels: ['Diabetes type 1']
+Scores: [0.0001586342550581321]
+Labels: ['Diabetes type 2']
+Scores: [0.00015824659203644842]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06320817023515701]
+Labels: ['Diabetes']
+Scores: [0.00022932032879907638]
+Labels: ['Cancer']
+Scores: [0.3624396026134491]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015054463874548674]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000711222062818706]
+Labels: ['Mental Health']
+Scores: [0.00011101477139163762]
+Labels: ['Diabetes type 1']
+Scores: [0.00028578730416484177]
+Labels: ['Diabetes type 2']
+Scores: [0.00023214601969812065]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1983446329832077]
+Labels: ['Diabetes']
+Scores: [0.00014910395839251578]
+Labels: ['Cancer']
+Scores: [0.9989607930183411]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011093465582234785]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00030571743263863027]
+Labels: ['Mental Health']
+Scores: [6.0363014199538156e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00024607713567093015]
+Labels: ['Diabetes type 2']
+Scores: [0.00019698133110068738]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005753267323598266]
+Labels: ['Diabetes']
+Scores: [3.5361797927180305e-05]
+Labels: ['Cancer']
+Scores: [0.9929465651512146]
+Labels: ['Chronic respiratory disease']
+Scores: [3.6309742426965386e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.314981096191332e-05]
+Labels: ['Mental Health']
+Scores: [3.6715548048960045e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.096592601854354e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.936249413527548e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9223342537879944]
+Labels: ['Diabetes']
+Scores: [7.922692020656541e-05]
+Labels: ['Cancer']
+Scores: [0.936893880367279]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010570569429546595]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002505547017790377]
+Labels: ['Mental Health']
+Scores: [0.0004218648828100413]
+Labels: ['Diabetes type 1']
+Scores: [0.00015887311019469053]
+Labels: ['Diabetes type 2']
+Scores: [0.00015698326751589775]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029532216489315033]
+Labels: ['Diabetes']
+Scores: [8.436180360149592e-05]
+Labels: ['Cancer']
+Scores: [0.998321533203125]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012214270827826113]
+Labels: ['Cardiovascular diseases']
+Scores: [8.658708247821778e-05]
+Labels: ['Mental Health']
+Scores: [9.810142364585772e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013701309217140079]
+Labels: ['Diabetes type 2']
+Scores: [0.00011967815225943923]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9572930335998535]
+Labels: ['Diabetes']
+Scores: [0.0003188182308804244]
+Labels: ['Cancer']
+Scores: [0.43753811717033386]
+Labels: ['Chronic respiratory disease']
+Scores: [5.7204579206882045e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9853665232658386]
+Labels: ['Mental Health']
+Scores: [5.3440155170392245e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016240723198279738]
+Labels: ['Diabetes type 2']
+Scores: [0.00016794017574284226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9986133575439453]
+Labels: ['Diabetes']
+Scores: [0.00021745494450442493]
+Labels: ['Cancer']
+Scores: [0.9995027780532837]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00042832898907363415]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00062067701946944]
+Labels: ['Mental Health']
+Scores: [0.014121509157121181]
+Labels: ['Diabetes type 1']
+Scores: [0.00029144578729756176]
+Labels: ['Diabetes type 2']
+Scores: [0.0002581798762548715]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736556
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Information Seeking Behavior', 'Early Detection of Cancer', 'Qualitative Research', 'Neoplasms', 'Needs Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9331617951393127]
+Labels: ['Diabetes']
+Scores: [0.00010803827899508178]
+Labels: ['Cancer']
+Scores: [0.9995744228363037]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001595517824171111]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013170360762160271]
+Labels: ['Mental Health']
+Scores: [0.00013653952919412404]
+Labels: ['Diabetes type 1']
+Scores: [0.00022570439614355564]
+Labels: ['Diabetes type 2']
+Scores: [0.00019147212151437998]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736554
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Middle East', 'Male', 'Africa, Northern', 'Neoplasms', 'Incidence', 'Female', 'Child', 'Adolescent', 'Child, Preschool', 'Infant', 'Health Status Disparities', 'Socioeconomic Factors', 'Young Adult', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9975553750991821]
+Labels: ['Diabetes']
+Scores: [0.00024005075101740658]
+Labels: ['Cancer']
+Scores: [0.9995666742324829]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002756381582003087]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012655493337661028]
+Labels: ['Mental Health']
+Scores: [0.00021624105283990502]
+Labels: ['Diabetes type 1']
+Scores: [0.0004927628906443715]
+Labels: ['Diabetes type 2']
+Scores: [0.00040040560998022556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736368
+Predictions: ['Cancer']
+MeshTerm: ['Ferroptosis', 'Photochemotherapy', 'Humans', 'Photosensitizing Agents', 'Reactive Oxygen Species', 'Neoplasms', 'Lipid Peroxidation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002735322341322899]
+Labels: ['Diabetes']
+Scores: [6.353679054882377e-05]
+Labels: ['Cancer']
+Scores: [0.9996935725212097]
+Labels: ['Chronic respiratory disease']
+Scores: [5.5967964726733044e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017874364857561886]
+Labels: ['Mental Health']
+Scores: [5.274044451653026e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.252931729657575e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.3785318818409e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736217
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Bacteria', 'Surface Properties', 'Animals', 'Biological Products', 'Neoplasms', 'Biological Therapy', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02157004550099373]
+Labels: ['Diabetes']
+Scores: [9.122658957494423e-05]
+Labels: ['Cancer']
+Scores: [0.9745574593544006]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019421592878643423]
+Labels: ['Cardiovascular diseases']
+Scores: [9.235893230652437e-05]
+Labels: ['Mental Health']
+Scores: [5.701022018911317e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00014317063323687762]
+Labels: ['Diabetes type 2']
+Scores: [0.00011764196096919477]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736186
+Predictions: ['Cancer']
+MeshTerm: ['Spectrum Analysis, Raman', 'Humans', 'N-Acetylneuraminic Acid', 'Biomarkers, Tumor', 'Neoplasms', 'Animals', 'Polysaccharides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008832781575620174]
+Labels: ['Diabetes']
+Scores: [0.0001245236926479265]
+Labels: ['Cancer']
+Scores: [0.9970915913581848]
+Labels: ['Chronic respiratory disease']
+Scores: [6.885000766487792e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001246695319423452]
+Labels: ['Mental Health']
+Scores: [3.6970006476622075e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00010826899233506992]
+Labels: ['Diabetes type 2']
+Scores: [9.057681018020958e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736017
+Predictions: ['Cancer']
+MeshTerm: ['Mesenchymal Stem Cells', 'Neoplasms', 'Gene Expression', 'Humans', 'HeLa Cells', 'MCF-7 Cells', 'A549 Cells', 'Reference Values', 'Genes, Essential', 'Real-Time Polymerase Chain Reaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007996982894837856]
+Labels: ['Diabetes']
+Scores: [4.71326602564659e-05]
+Labels: ['Cancer']
+Scores: [0.999467134475708]
+Labels: ['Chronic respiratory disease']
+Scores: [4.090411675861105e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.480926822405308e-05]
+Labels: ['Mental Health']
+Scores: [3.974474748247303e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.722274727304466e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.66248781979084e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735992
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cell Line, Tumor', 'Transcriptome', 'Neoplasms', 'Gene Fusion', 'Sequence Analysis, RNA', 'Gene Expression Profiling', 'Oncogene Proteins, Fusion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00018563849152997136]
+Labels: ['Diabetes']
+Scores: [5.0712689699139446e-05]
+Labels: ['Cancer']
+Scores: [0.9940243363380432]
+Labels: ['Chronic respiratory disease']
+Scores: [5.5722375691402704e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.6195164031814784e-05]
+Labels: ['Mental Health']
+Scores: [3.395892781554721e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00014109940093476325]
+Labels: ['Diabetes type 2']
+Scores: [0.00012609105033334345]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735988
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Warburg Effect, Oncologic', 'Neoplasms', 'Glycolysis', 'Animals', 'Oxidative Phosphorylation', 'Energy Metabolism', 'Mitochondria', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0013874720316380262]
+Labels: ['Diabetes']
+Scores: [6.990433030296117e-05]
+Labels: ['Cancer']
+Scores: [0.9949309229850769]
+Labels: ['Chronic respiratory disease']
+Scores: [8.400280785281211e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.891471563605592e-05]
+Labels: ['Mental Health']
+Scores: [4.521181108430028e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.594360067741945e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.622455111937597e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735979
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aneuploidy', 'Machine Learning', 'Neoplasms', 'Myristoylated Alanine-Rich C Kinase Substrate', 'Membrane Proteins', 'Gene Expression Regulation, Neoplastic', 'Cell Proliferation', 'Cytoskeletal Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004764856130350381]
+Labels: ['Diabetes']
+Scores: [3.7272286135703325e-05]
+Labels: ['Cancer']
+Scores: [0.987772524356842]
+Labels: ['Chronic respiratory disease']
+Scores: [3.8207497709663585e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.163868652540259e-05]
+Labels: ['Mental Health']
+Scores: [4.0624261600896716e-05]
+Labels: ['Diabetes type 1']
+Scores: [3.928306978195906e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.6727680708281696e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735978
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunity, Innate', 'Tumor-Associated Macrophages', 'Neoplasms', 'Tumor Microenvironment', 'Phenotype', 'Animals', 'Epigenesis, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07500728964805603]
+Labels: ['Diabetes']
+Scores: [0.00010029863187810406]
+Labels: ['Cancer']
+Scores: [0.9983217716217041]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024149547971319407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011626467312453315]
+Labels: ['Mental Health']
+Scores: [5.449149466585368e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00010384435881860554]
+Labels: ['Diabetes type 2']
+Scores: [9.417431283509359e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Disease Progression', 'Heterogeneous-Nuclear Ribonucleoprotein Group C', 'Neoplasms', 'Tumor Microenvironment', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Liver Neoplasms', 'Cell Line, Tumor', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0297442264854908]
+Labels: ['Diabetes']
+Scores: [5.557418262469582e-05]
+Labels: ['Cancer']
+Scores: [0.9996939301490784]
+Labels: ['Chronic respiratory disease']
+Scores: [5.835636693518609e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.951779065886512e-05]
+Labels: ['Mental Health']
+Scores: [4.850787445320748e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.998342410544865e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.967413406120613e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735681
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Nanoparticles', 'Drug Delivery Systems', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014942849054932594]
+Labels: ['Diabetes']
+Scores: [0.00013009288522880524]
+Labels: ['Cancer']
+Scores: [0.9994656443595886]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005288115353323519]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021645020751748234]
+Labels: ['Mental Health']
+Scores: [6.065062916604802e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00046437844866886735]
+Labels: ['Diabetes type 2']
+Scores: [0.00034209873410873115]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735536
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'CD28 Antigens', 'Mice', 'Cell Adhesion Molecules', 'Neoplasms', 'Lymphocyte Activation', 'Cell Line, Tumor', 'Immunotherapy, Adoptive', 'T-Lymphocytes', 'Receptors, Antigen, T-Cell', 'Xenograft Model Antitumor Assays', 'Female', 'Nectins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002888088347390294]
+Labels: ['Diabetes']
+Scores: [4.511795850703493e-05]
+Labels: ['Cancer']
+Scores: [0.9980682134628296]
+Labels: ['Chronic respiratory disease']
+Scores: [4.358650039648637e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.65495174669195e-05]
+Labels: ['Mental Health']
+Scores: [3.9242706407094374e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.4444517445517704e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.356618930818513e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735534
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Immunotherapy', 'Neoplasms', 'Combined Modality Therapy', 'Humans', 'Ultrasonic Therapy', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0016099200583994389]
+Labels: ['Diabetes']
+Scores: [3.524887506500818e-05]
+Labels: ['Cancer']
+Scores: [0.7503897547721863]
+Labels: ['Chronic respiratory disease']
+Scores: [3.227145498385653e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.063075463520363e-05]
+Labels: ['Mental Health']
+Scores: [4.2230982217006385e-05]
+Labels: ['Diabetes type 1']
+Scores: [3.908510188921355e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.9313232264248654e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.438105046749115]
+Labels: ['Diabetes']
+Scores: [0.00019359213183633983]
+Labels: ['Cancer']
+Scores: [0.9975442290306091]
+Labels: ['Chronic respiratory disease']
+Scores: [7.011776324361563e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010635739454301074]
+Labels: ['Mental Health']
+Scores: [6.686126289423555e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.688645903021097e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.62466443120502e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734197
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', '5-Methylcytosine', 'DNA Methylation', 'DNA Transposable Elements', 'Epigenesis, Genetic', 'Nanopore Sequencing', 'Nanopores', 'Neoplasms', 'Sequence Analysis, DNA']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014043808914721012]
+Labels: ['Diabetes']
+Scores: [5.452494224300608e-05]
+Labels: ['Cancer']
+Scores: [0.6952859163284302]
+Labels: ['Chronic respiratory disease']
+Scores: [8.611676457803696e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.022875797702e-05]
+Labels: ['Mental Health']
+Scores: [7.308274507522583e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00020199909340590239]
+Labels: ['Diabetes type 2']
+Scores: [0.00017543142894282937]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733511
+Predictions: ['Cancer']
+MeshTerm: ['Protein-Arginine N-Methyltransferases', 'Humans', 'Enzyme Inhibitors', 'Neoplasms', 'Antineoplastic Agents', 'Molecular Structure', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03566070646047592]
+Labels: ['Diabetes']
+Scores: [0.00014033062325324863]
+Labels: ['Cancer']
+Scores: [0.9760915040969849]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021040612773504108]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019481603521853685]
+Labels: ['Mental Health']
+Scores: [6.289354496402666e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00028756613028235734]
+Labels: ['Diabetes type 2']
+Scores: [0.00022455026919487864]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733440
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Occupational Exposure', 'Occupational Diseases', 'Carcinogens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9797419309616089]
+Labels: ['Diabetes']
+Scores: [7.199095853138715e-05]
+Labels: ['Cancer']
+Scores: [0.9997611045837402]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017283247143495828]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020389448036439717]
+Labels: ['Mental Health']
+Scores: [6.993006536504254e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.798904698574916e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.730462675681338e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733439
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Antigen Presentation', 'Immunotherapy', 'Neoplasms', 'Antigens, Neoplasm', 'Immune Checkpoint Inhibitors', 'HLA Antigens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011076053604483604]
+Labels: ['Diabetes']
+Scores: [5.434338527265936e-05]
+Labels: ['Cancer']
+Scores: [0.9977214932441711]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00032786003430373967]
+Labels: ['Cardiovascular diseases']
+Scores: [8.11823847470805e-05]
+Labels: ['Mental Health']
+Scores: [3.746350921574049e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.321274122456089e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.020245564286597e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733429
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Registries', 'Female', 'Male', 'Tunisia', 'Neoplasms', 'Incidence', 'Middle Aged', 'Adult', 'Aged', 'Adolescent', 'Young Adult', 'Infant, Newborn', 'Infant', 'Child', 'Child, Preschool', 'Follow-Up Studies', 'Prognosis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9991371631622314]
+Labels: ['Diabetes']
+Scores: [3.5325971111888066e-05]
+Labels: ['Cancer']
+Scores: [0.9998118281364441]
+Labels: ['Chronic respiratory disease']
+Scores: [5.815121767227538e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001065196847775951]
+Labels: ['Mental Health']
+Scores: [4.785394776263274e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.165247446508147e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.17128176195547e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733076
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Mitochondria', 'Gene Expression Regulation, Neoplastic', 'Biomarkers, Tumor', 'Prognosis', 'Genomics', 'Cell Proliferation', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024000123143196106]
+Labels: ['Diabetes']
+Scores: [7.157019717851654e-05]
+Labels: ['Cancer']
+Scores: [0.9996034502983093]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012686429545283318]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014292100968305022]
+Labels: ['Mental Health']
+Scores: [4.9500304157845676e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001079895009752363]
+Labels: ['Diabetes type 2']
+Scores: [9.324061829829589e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732961
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Transcription Factors', 'Proto-Oncogene Proteins c-ets', 'Prognosis', 'Neoplasms', 'Gene Expression Regulation, Neoplastic', 'Tumor Microenvironment', 'Adenovirus E1A Proteins', 'DNA-Binding Proteins', 'Kaplan-Meier Estimate', 'Gene Expression Profiling']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02609943225979805]
+Labels: ['Diabetes']
+Scores: [8.643890760140494e-05]
+Labels: ['Cancer']
+Scores: [0.9996642470359802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015496788546442986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00028568768175318837]
+Labels: ['Mental Health']
+Scores: [5.102406794321723e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013966637197881937]
+Labels: ['Diabetes type 2']
+Scores: [0.00011932797497138381]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732661
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Fever of Unknown Origin', 'Prospective Studies', 'Female', 'Male', 'China', 'Middle Aged', 'Adult', 'Aged', 'Neoplasms', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002421752782538533]
+Labels: ['Diabetes']
+Scores: [5.895542926737107e-05]
+Labels: ['Cancer']
+Scores: [0.010264843702316284]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017787728575058281]
+Labels: ['Cardiovascular diseases']
+Scores: [9.579915786162019e-05]
+Labels: ['Mental Health']
+Scores: [5.558630437008105e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.695182673865929e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.0405134718166664e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732529
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Animals', 'Signal Transduction', 'Cytokines', 'Immunotherapy', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001236008945852518]
+Labels: ['Diabetes']
+Scores: [7.008981629041955e-05]
+Labels: ['Cancer']
+Scores: [0.995772123336792]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010781700984807685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020512851187959313]
+Labels: ['Mental Health']
+Scores: [5.0541366363177076e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.97388779069297e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.290003072237596e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732497
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Fear', 'Schizophrenia', 'Psychotic Disorders', 'Neoplasms', 'Psychosocial Intervention', 'Neoplasm Recurrence, Local', 'Research Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9389568567276001]
+Labels: ['Diabetes']
+Scores: [0.010954746976494789]
+Labels: ['Cancer']
+Scores: [0.9820564985275269]
+Labels: ['Chronic respiratory disease']
+Scores: [4.986528801964596e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018098318832926452]
+Labels: ['Mental Health']
+Scores: [0.9977920055389404]
+Labels: ['Diabetes type 1']
+Scores: [9.127649536821991e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00015541515313088894]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732363
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'T-Lymphocytes', 'Cell Movement', 'Immunotherapy, Adoptive', 'Tumor Microenvironment', 'Receptors, Chimeric Antigen', 'Neoplasms', 'Microfluidics', 'Lab-On-A-Chip Devices', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004184114804957062]
+Labels: ['Diabetes']
+Scores: [5.2147235692245886e-05]
+Labels: ['Cancer']
+Scores: [0.8339300155639648]
+Labels: ['Chronic respiratory disease']
+Scores: [9.416542889084667e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.658239024342038e-05]
+Labels: ['Mental Health']
+Scores: [3.517444201861508e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011987437028437853]
+Labels: ['Diabetes type 2']
+Scores: [8.878952212398872e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009981894865632057]
+Labels: ['Diabetes']
+Scores: [8.412177703576162e-05]
+Labels: ['Cancer']
+Scores: [0.9725225567817688]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002495971566531807]
+Labels: ['Cardiovascular diseases']
+Scores: [0.887105405330658]
+Labels: ['Mental Health']
+Scores: [0.0005946886958554387]
+Labels: ['Diabetes type 1']
+Scores: [0.00022551458096131682]
+Labels: ['Diabetes type 2']
+Scores: [0.00017702598415780813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mitochondria', 'Neoplasms', 'Cytoskeleton', 'Animals', 'Autophagy', 'Apoptosis', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001050754333846271]
+Labels: ['Diabetes']
+Scores: [4.00215940317139e-05]
+Labels: ['Cancer']
+Scores: [0.9998075366020203]
+Labels: ['Chronic respiratory disease']
+Scores: [5.2187653636792675e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001265421451535076]
+Labels: ['Mental Health']
+Scores: [3.586010279832408e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.74501503049396e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.62007119494956e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732132
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Animals', 'Complement Activation', 'Tumor Microenvironment', 'Complement C4', 'Biomarkers, Tumor', 'Immunotherapy', 'Complement C4b', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.036145731806755066]
+Labels: ['Diabetes']
+Scores: [7.626684964634478e-05]
+Labels: ['Cancer']
+Scores: [0.9844034314155579]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013566293637268245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012148200039518997]
+Labels: ['Mental Health']
+Scores: [4.625742803909816e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.417055505560711e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.709348574280739e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731918
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Immunotherapy', 'Tumor Microenvironment', 'CD8-Positive T-Lymphocytes', 'Leukocytes, Mononuclear', 'Male', 'Female', 'Receptors, Antigen, T-Cell', 'Neoplasms', 'Middle Aged', 'Transcriptome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05089256167411804]
+Labels: ['Diabetes']
+Scores: [5.464659625431523e-05]
+Labels: ['Cancer']
+Scores: [0.9963871240615845]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004474980756640434]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003262624959461391]
+Labels: ['Mental Health']
+Scores: [4.632221316569485e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.746802369481884e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.3559542720904574e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731836
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'MicroRNAs', 'Hydrogels', 'HeLa Cells', 'DNA', 'Doxorubicin', 'PTEN Phosphohydrolase', 'Cell Survival', 'Neoplasms', 'Apoptosis Regulatory Proteins', 'RNA-Binding Proteins', 'Antineoplastic Agents', 'Gene Expression Regulation, Neoplastic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00021488568745553493]
+Labels: ['Diabetes']
+Scores: [6.692745228065178e-05]
+Labels: ['Cancer']
+Scores: [0.9985837340354919]
+Labels: ['Chronic respiratory disease']
+Scores: [7.022239151410758e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001661457645241171]
+Labels: ['Mental Health']
+Scores: [3.9914641092764214e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.584145300323144e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.568230259697884e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731788
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Antineoplastic Agents', 'Peptides', 'Animals', 'Drug Development', 'Molecular Structure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0017476826906204224]
+Labels: ['Diabetes']
+Scores: [7.464930968126282e-05]
+Labels: ['Cancer']
+Scores: [0.9928064942359924]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001726105692796409]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010049770935438573]
+Labels: ['Mental Health']
+Scores: [4.762591197504662e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0002163190220016986]
+Labels: ['Diabetes type 2']
+Scores: [0.0001727611233945936]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731736
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Neoplasms', 'Genomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00011001889652106911]
+Labels: ['Diabetes']
+Scores: [6.40896032564342e-05]
+Labels: ['Cancer']
+Scores: [6.134263821877539e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019131682347506285]
+Labels: ['Cardiovascular diseases']
+Scores: [9.071977547137067e-05]
+Labels: ['Mental Health']
+Scores: [3.650354119599797e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0004581967950798571]
+Labels: ['Diabetes type 2']
+Scores: [0.0003430220822338015]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731651
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Quality of Life', 'Female', 'Male', 'Hydrocortisone', 'Qigong', 'Middle Aged', 'Neoplasms', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9810040593147278]
+Labels: ['Diabetes']
+Scores: [5.547514956560917e-05]
+Labels: ['Cancer']
+Scores: [0.9997104406356812]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022067506797611713]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013443213538266718]
+Labels: ['Mental Health']
+Scores: [0.0014072387712076306]
+Labels: ['Diabetes type 1']
+Scores: [5.567367043113336e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.0119815316284075e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731471
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Endoplasmic Reticulum Chaperone BiP', 'Single-Domain Antibodies', 'Recombinant Fusion Proteins', 'Immunotoxins', 'Apoptosis', 'Exotoxins', 'Animals', 'Heat-Shock Proteins', 'Cell Line, Tumor', 'Camelus', 'Breast Neoplasms', 'Female', 'ADP Ribose Transferases', 'Bacterial Toxins', 'HEK293 Cells', 'Pseudomonas aeruginosa Exotoxin A', 'Neoplasms', 'MCF-7 Cells', 'Virulence Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01995009183883667]
+Labels: ['Diabetes']
+Scores: [4.425192310009152e-05]
+Labels: ['Cancer']
+Scores: [0.9708391427993774]
+Labels: ['Chronic respiratory disease']
+Scores: [4.94501982757356e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.2868319471599534e-05]
+Labels: ['Mental Health']
+Scores: [3.918586662621237e-05]
+Labels: ['Diabetes type 1']
+Scores: [3.7707199226133525e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.828517583315261e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Organoids', 'Neoplasms', 'Tumor Microenvironment', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0015626291278749704]
+Labels: ['Diabetes']
+Scores: [0.00010384232882643119]
+Labels: ['Cancer']
+Scores: [0.9997303485870361]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019300685380585492]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00027417443925514817]
+Labels: ['Mental Health']
+Scores: [4.0044844354270026e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00015034338866826147]
+Labels: ['Diabetes type 2']
+Scores: [0.00011876380449393764]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731135
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Mutation', 'Tumor Microenvironment', 'Histone Demethylases', 'Biomarkers, Tumor', 'Prognosis', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03787843883037567]
+Labels: ['Diabetes']
+Scores: [9.870679787127301e-05]
+Labels: ['Cancer']
+Scores: [0.9996939301490784]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012500147568061948]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00037595423054881394]
+Labels: ['Mental Health']
+Scores: [6.834934174548835e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016584251716267318]
+Labels: ['Diabetes type 2']
+Scores: [0.00014740842743776739]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731127
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'RNA Editing', 'Neoplasms', 'Inosine', 'Adenosine', 'Animals', 'Gene Expression Regulation, Neoplastic', 'Adenosine Deaminase', 'Biomarkers, Tumor', 'MicroRNAs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004131977912038565]
+Labels: ['Diabetes']
+Scores: [8.090717165032402e-05]
+Labels: ['Cancer']
+Scores: [0.999762237071991]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001386662625009194]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010070434655062854]
+Labels: ['Mental Health']
+Scores: [6.322096305666491e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011198924039490521]
+Labels: ['Diabetes type 2']
+Scores: [9.661233343649656e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731088
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Palliative Care', 'Aged', 'Middle Aged', 'Neoplasms', 'Terminal Care', 'Aged, 80 and over', 'Finland', 'Hospital Costs', 'Ambulatory Care Facilities', 'Registries', 'Adult', 'Ambulatory Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8613998889923096]
+Labels: ['Diabetes']
+Scores: [7.014685979811475e-05]
+Labels: ['Cancer']
+Scores: [0.9997828602790833]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013607650180347264]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010307768388884142]
+Labels: ['Mental Health']
+Scores: [0.0004770985688082874]
+Labels: ['Diabetes type 1']
+Scores: [0.00012102915206924081]
+Labels: ['Diabetes type 2']
+Scores: [0.00011219585576327518]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3024671971797943]
+Labels: ['Diabetes']
+Scores: [0.00159505195915699]
+Labels: ['Cancer']
+Scores: [0.022906377911567688]
+Labels: ['Chronic respiratory disease']
+Scores: [6.34395910310559e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.983074426651001]
+Labels: ['Mental Health']
+Scores: [4.723182792076841e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00018323016411159188]
+Labels: ['Diabetes type 2']
+Scores: [0.00025346322217956185]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731019
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Algorithms', 'Deep Learning', 'Gene Expression Profiling', 'Computational Biology', 'Databases, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008195080445148051]
+Labels: ['Diabetes']
+Scores: [4.045959940413013e-05]
+Labels: ['Cancer']
+Scores: [0.9977802038192749]
+Labels: ['Chronic respiratory disease']
+Scores: [4.070022259838879e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.50988586130552e-05]
+Labels: ['Mental Health']
+Scores: [3.7535886804107577e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.364108826848678e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.289165372028947e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730977
+Predictions: ['Cancer']
+MeshTerm: ['Copper', 'Humans', 'Metal Nanoparticles', 'Green Chemistry Technology', 'Neoplasms', 'Antineoplastic Agents', 'Drug Resistance, Neoplasm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009908447973430157]
+Labels: ['Diabetes']
+Scores: [7.386603101622313e-05]
+Labels: ['Cancer']
+Scores: [0.9869773983955383]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018610585539136082]
+Labels: ['Cardiovascular diseases']
+Scores: [9.312327892985195e-05]
+Labels: ['Mental Health']
+Scores: [5.315997259458527e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00019149329455103725]
+Labels: ['Diabetes type 2']
+Scores: [0.00014305076911114156]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730928
+Predictions: ['Cancer']
+MeshTerm: ['Doxorubicin', 'Animals', 'Mice', 'Humans', 'Cell Line, Tumor', 'Immunotherapy', 'Neoplasms', 'Drug Delivery Systems', 'Nanoparticles', 'Tumor Microenvironment', 'Biomimetics', 'Imiquimod', 'Serotonin', 'Antineoplastic Agents', 'Combined Modality Therapy', 'Mice, Inbred BALB C']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009344778372906148]
+Labels: ['Diabetes']
+Scores: [7.40463801776059e-05]
+Labels: ['Cancer']
+Scores: [0.9966257810592651]
+Labels: ['Chronic respiratory disease']
+Scores: [4.962148886988871e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010735576506704092]
+Labels: ['Mental Health']
+Scores: [7.042709330562502e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.994524301262572e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.374826625688002e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730772
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Female', 'Male', 'Adult', 'Middle Aged', 'Return to Work', 'Social Stigma', 'Social Support', 'Adolescent', 'Young Adult', 'Adaptation, Psychological', 'Health Literacy', 'Neoplasms', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9977278709411621]
+Labels: ['Diabetes']
+Scores: [0.00015277568309102207]
+Labels: ['Cancer']
+Scores: [0.9991863369941711]
+Labels: ['Chronic respiratory disease']
+Scores: [9.821908315643668e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00031947880052030087]
+Labels: ['Mental Health']
+Scores: [0.008675436489284039]
+Labels: ['Diabetes type 1']
+Scores: [0.0001681114372331649]
+Labels: ['Diabetes type 2']
+Scores: [0.00015748507576063275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730706
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Denmark', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Cohort Studies', 'Environmental Pollution', 'Young Adult', 'Child, Preschool', 'Infant, Newborn', 'Environmental Exposure', 'Adolescent', 'Child', 'Infant', 'Aged, 80 and over', 'Neoplasms', 'Cause of Death']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.971246600151062]
+Labels: ['Diabetes']
+Scores: [6.360750558087602e-05]
+Labels: ['Cancer']
+Scores: [0.9484170079231262]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001004848672891967]
+Labels: ['Cardiovascular diseases']
+Scores: [0.952513575553894]
+Labels: ['Mental Health']
+Scores: [0.0071924543008208275]
+Labels: ['Diabetes type 1']
+Scores: [7.226141315186396e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.219653732841834e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730699
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Machine Learning', 'Antineoplastic Agents', 'Precision Medicine', 'Neoplasms', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012124118395149708]
+Labels: ['Diabetes']
+Scores: [0.0001280706492252648]
+Labels: ['Cancer']
+Scores: [0.27059412002563477]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013345353363547474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022272596834227443]
+Labels: ['Mental Health']
+Scores: [6.848635530332103e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00020345734083093703]
+Labels: ['Diabetes type 2']
+Scores: [0.00017414774629287422]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730637
+Predictions: ['Cancer']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'China', 'Drug-Related Side Effects and Adverse Reactions', 'East Asian People', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.981766939163208]
+Labels: ['Diabetes']
+Scores: [0.00014670884411316365]
+Labels: ['Cancer']
+Scores: [0.9995284080505371]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013727927580475807]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006560268346220255]
+Labels: ['Mental Health']
+Scores: [7.5847128755413e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00019155757036060095]
+Labels: ['Diabetes type 2']
+Scores: [0.00014841141819488257]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730328
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Mice', 'Immunotherapy', 'Humans', 'Immune Checkpoint Inhibitors', 'Female', 'Fimbriae Proteins', 'Programmed Cell Death 1 Receptor', 'Neoplasms', 'Mice, Inbred C57BL', 'Bacteria', 'Cell Line, Tumor', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11369089782238007]
+Labels: ['Diabetes']
+Scores: [0.00010343510075472295]
+Labels: ['Cancer']
+Scores: [0.9974836111068726]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017985924205277115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008047199808061123]
+Labels: ['Mental Health']
+Scores: [7.681833812966943e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001350017118966207]
+Labels: ['Diabetes type 2']
+Scores: [0.00010497587936697528]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730320
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Social Support', 'Neoplasms', 'Qualitative Research', 'Social Adjustment', 'Social Interaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9653850793838501]
+Labels: ['Diabetes']
+Scores: [5.302678619045764e-05]
+Labels: ['Cancer']
+Scores: [0.9997491240501404]
+Labels: ['Chronic respiratory disease']
+Scores: [4.531276863417588e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.424025923479348e-05]
+Labels: ['Mental Health']
+Scores: [0.8568199276924133]
+Labels: ['Diabetes type 1']
+Scores: [5.915410292800516e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.588473140960559e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.987937867641449]
+Labels: ['Diabetes']
+Scores: [4.090789661859162e-05]
+Labels: ['Cancer']
+Scores: [0.9944936037063599]
+Labels: ['Chronic respiratory disease']
+Scores: [4.005458322353661e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.487627590307966e-05]
+Labels: ['Mental Health']
+Scores: [0.002404435770586133]
+Labels: ['Diabetes type 1']
+Scores: [4.085671025677584e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.298249041312374e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005343842785805464]
+Labels: ['Diabetes']
+Scores: [7.736792758805677e-05]
+Labels: ['Cancer']
+Scores: [0.9959014058113098]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004043487715534866]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010412060510134324]
+Labels: ['Mental Health']
+Scores: [5.2455096010817215e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.658416532445699e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.91954703850206e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729909
+Predictions: ['Cancer']
+MeshTerm: ['Reactive Oxygen Species', 'Humans', 'Neoplasms', 'Magnetic Fields', 'Animals', 'Mitochondria', 'Electromagnetic Fields']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21461141109466553]
+Labels: ['Diabetes']
+Scores: [0.005954419262707233]
+Labels: ['Cancer']
+Scores: [0.9997448325157166]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003858719428535551]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009496830753050745]
+Labels: ['Mental Health']
+Scores: [0.00011238697334192693]
+Labels: ['Diabetes type 1']
+Scores: [0.0003394371015019715]
+Labels: ['Diabetes type 2']
+Scores: [0.0002829181030392647]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729775
+Predictions: ['Cancer']
+MeshTerm: ['Granulocyte-Macrophage Colony-Stimulating Factor', 'Animals', 'RNA, Small Interfering', 'Immunotherapy', 'Mice', 'Macrophages', 'Cellular Reprogramming', 'Mice, Inbred C57BL', 'Neoplasms', 'Tumor Microenvironment', 'Cell Line, Tumor', 'Humans', 'Tumor-Associated Macrophages', 'Female', 'RAW 264.7 Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006316697224974632]
+Labels: ['Diabetes']
+Scores: [0.00011901750258402899]
+Labels: ['Cancer']
+Scores: [0.9995486736297607]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000215018168091774]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001794737036107108]
+Labels: ['Mental Health']
+Scores: [5.060648254584521e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00029731716495007277]
+Labels: ['Diabetes type 2']
+Scores: [0.00025546064716763794]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729479
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Single-Cell Analysis', 'Lymphocytes, Tumor-Infiltrating', 'Neoplasms', 'RNA-Seq', 'T-Lymphocytes, Regulatory', 'Transcriptome', 'Gene Expression Profiling', 'Protein Interaction Maps', 'Sequence Analysis, RNA', 'Gene Regulatory Networks', 'Gene Expression Regulation, Neoplastic', 'Single-Cell Gene Expression Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0013899505138397217]
+Labels: ['Diabetes']
+Scores: [0.00011114828521385789]
+Labels: ['Cancer']
+Scores: [0.9946966171264648]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021733500761911273]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011642581375781447]
+Labels: ['Mental Health']
+Scores: [5.5115411669248715e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0002165450860047713]
+Labels: ['Diabetes type 2']
+Scores: [0.00019227596931159496]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729462
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Maytansine', 'Immunoconjugates', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'Folate Receptor 1', 'Progression-Free Survival']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02758813463151455]
+Labels: ['Diabetes']
+Scores: [4.240424823365174e-05]
+Labels: ['Cancer']
+Scores: [0.9991880655288696]
+Labels: ['Chronic respiratory disease']
+Scores: [4.206672383588739e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.399214180419222e-05]
+Labels: ['Mental Health']
+Scores: [5.624262121273205e-05]
+Labels: ['Diabetes type 1']
+Scores: [3.9725891838315874e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.820353595074266e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729341
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Animals', 'Mice', 'Neoplasms', 'Drug Carriers', 'Cell Line, Tumor', 'Macromolecular Substances', 'Protein Binding', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0002968192275147885]
+Labels: ['Diabetes']
+Scores: [6.211244908627123e-05]
+Labels: ['Cancer']
+Scores: [0.1671973466873169]
+Labels: ['Chronic respiratory disease']
+Scores: [6.277293141465634e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.0641767049673945e-05]
+Labels: ['Mental Health']
+Scores: [4.003975845989771e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.25604802230373e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.725226896582171e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729330
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Child', 'Neoplasms', 'Gait Disorders, Neurologic', 'Antineoplastic Agents', 'Gait', 'Range of Motion, Articular', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.046437278389930725]
+Labels: ['Diabetes']
+Scores: [4.618261300493032e-05]
+Labels: ['Cancer']
+Scores: [0.8657699227333069]
+Labels: ['Chronic respiratory disease']
+Scores: [4.0534599975217134e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011171353253303096]
+Labels: ['Mental Health']
+Scores: [4.35438341810368e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.085283555672504e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.536285632639192e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729314
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Radiation Oncology', 'Radiologists', 'Peer Review', 'Peer Review, Health Care', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0012284020194783807]
+Labels: ['Diabetes']
+Scores: [4.705837636720389e-05]
+Labels: ['Cancer']
+Scores: [0.9582661390304565]
+Labels: ['Chronic respiratory disease']
+Scores: [5.682867777068168e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.815864642499946e-05]
+Labels: ['Mental Health']
+Scores: [5.1400085794739425e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.736539555480704e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.961707549635321e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727835
+Predictions: ['Cancer']
+MeshTerm: ['Biosensing Techniques', 'Humans', 'Drug Discovery', 'Neoplasms', 'Antineoplastic Agents', 'Fluorescence', 'Fluorescence Resonance Energy Transfer', 'Signal Transduction', 'Luminescent Measurements', 'Pentacyclic Triterpenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0121768144890666]
+Labels: ['Diabetes']
+Scores: [0.00017459600348956883]
+Labels: ['Cancer']
+Scores: [0.9977321624755859]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003135046863462776]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003245434782002121]
+Labels: ['Mental Health']
+Scores: [4.9263195251114666e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000368748907931149]
+Labels: ['Diabetes type 2']
+Scores: [0.0002899432147387415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727719
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neutropenia', 'Antineoplastic Agents', 'Anemia', 'Thrombocytopenia', 'Neoplasms', 'Intercellular Signaling Peptides and Proteins', 'Granulocyte Colony-Stimulating Factor', 'Receptors, Thrombopoietin', 'Cytopenia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009201554581522942]
+Labels: ['Diabetes']
+Scores: [0.00014269366511143744]
+Labels: ['Cancer']
+Scores: [0.9993722438812256]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00020048611622769386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004765091929584742]
+Labels: ['Mental Health']
+Scores: [6.166748062241822e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011297537275822833]
+Labels: ['Diabetes type 2']
+Scores: [9.899896394927055e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727703
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Early Detection of Cancer', 'Female', 'Male', 'Aged', 'Middle Aged', 'Neoplasms', 'Oncology Nursing', 'Health Services Accessibility', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8175965547561646]
+Labels: ['Diabetes']
+Scores: [6.669016147498041e-05]
+Labels: ['Cancer']
+Scores: [0.9996570348739624]
+Labels: ['Chronic respiratory disease']
+Scores: [4.9920457968255505e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016776028496678919]
+Labels: ['Mental Health']
+Scores: [0.0005106358439661562]
+Labels: ['Diabetes type 1']
+Scores: [8.902279660105705e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.301469642901793e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727701
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Frailty', 'Neoplasms', 'Retrospective Studies', 'Aged, 80 and over', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05285686254501343]
+Labels: ['Diabetes']
+Scores: [0.00014215892588254064]
+Labels: ['Cancer']
+Scores: [0.9993284344673157]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010613758786348626]
+Labels: ['Cardiovascular diseases']
+Scores: [0.024454738944768906]
+Labels: ['Mental Health']
+Scores: [9.561964543536305e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00010562915849732235]
+Labels: ['Diabetes type 2']
+Scores: [9.810722258407623e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727700
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Neoplasms', 'Patient Reported Outcome Measures', 'Psychometrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021555056795477867]
+Labels: ['Diabetes']
+Scores: [9.239790233550593e-05]
+Labels: ['Cancer']
+Scores: [0.9997261166572571]
+Labels: ['Chronic respiratory disease']
+Scores: [5.955047527095303e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002486634475644678]
+Labels: ['Mental Health']
+Scores: [0.00013392131950240582]
+Labels: ['Diabetes type 1']
+Scores: [6.71703164698556e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.14993114140816e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727690
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Empathy', 'Neoplasms', 'Nurse-Patient Relations', 'Oncology Nursing', 'Qualitative Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0050317333079874516]
+Labels: ['Diabetes']
+Scores: [4.679854100686498e-05]
+Labels: ['Cancer']
+Scores: [0.994726836681366]
+Labels: ['Chronic respiratory disease']
+Scores: [5.96116078668274e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.247824057936668e-05]
+Labels: ['Mental Health']
+Scores: [0.0016903359210118651]
+Labels: ['Diabetes type 1']
+Scores: [8.846647688187659e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.458830805262551e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727688
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Neoplasms', 'Cross-Sectional Studies', 'Male', 'Female', 'Malnutrition', 'Aged, 80 and over', 'Nutritional Status', 'Surveys and Questionnaires', 'Nutrition Assessment', 'Diet', 'Symptom Burden']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3200490474700928]
+Labels: ['Diabetes']
+Scores: [0.00014317588647827506]
+Labels: ['Cancer']
+Scores: [0.9997352361679077]
+Labels: ['Chronic respiratory disease']
+Scores: [7.165248825913295e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023341832275036722]
+Labels: ['Mental Health']
+Scores: [0.00038654482341371477]
+Labels: ['Diabetes type 1']
+Scores: [9.191213030135259e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.389593469677493e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727686
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Exercise', 'Exercise Therapy', 'Neoplasms', 'Quality of Life', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8034442067146301]
+Labels: ['Diabetes']
+Scores: [0.00013657969248015434]
+Labels: ['Cancer']
+Scores: [0.9997534155845642]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001196760858874768]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006841868162155151]
+Labels: ['Mental Health']
+Scores: [8.041567343752831e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.116101864492521e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.405450691701844e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727684
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Methadone', 'Neuralgia', 'Cancer Pain', 'Analgesics, Opioid', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010078688152134418]
+Labels: ['Diabetes']
+Scores: [3.768707028939389e-05]
+Labels: ['Cancer']
+Scores: [0.9979541301727295]
+Labels: ['Chronic respiratory disease']
+Scores: [5.791849616798572e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.229727245634422e-05]
+Labels: ['Mental Health']
+Scores: [0.02022930234670639]
+Labels: ['Diabetes type 1']
+Scores: [3.649875725386664e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.61923775926698e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727683
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Cancer Survivors', 'Male', 'Adult', 'Adolescent', 'Neoplasms', 'Young Adult', 'Fertility', 'Cohort Studies', 'Surveys and Questionnaires', 'Canada', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9640684127807617]
+Labels: ['Diabetes']
+Scores: [0.00011069353786297143]
+Labels: ['Cancer']
+Scores: [0.9993937611579895]
+Labels: ['Chronic respiratory disease']
+Scores: [6.575541920028627e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014113412180449814]
+Labels: ['Mental Health']
+Scores: [0.00016362365568056703]
+Labels: ['Diabetes type 1']
+Scores: [0.0001373833802063018]
+Labels: ['Diabetes type 2']
+Scores: [0.00012248381972312927]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Health Literacy', 'Fear', 'Neoplasms', 'Neoplasm Recurrence, Local', 'Disease Progression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8204952478408813]
+Labels: ['Diabetes']
+Scores: [0.00015829963376745582]
+Labels: ['Cancer']
+Scores: [0.9996645450592041]
+Labels: ['Chronic respiratory disease']
+Scores: [9.16163480724208e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005223700311034918]
+Labels: ['Mental Health']
+Scores: [0.00032916871714405715]
+Labels: ['Diabetes type 1']
+Scores: [0.0003950011159759015]
+Labels: ['Diabetes type 2']
+Scores: [0.0003360095724929124]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727182
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patents as Topic', 'Ataxia Telangiectasia Mutated Proteins', 'Neoplasms', 'Antineoplastic Agents', 'Animals', 'Protein Kinase Inhibitors', 'Drug Development', 'Molecular Targeted Therapy', 'DNA Breaks, Double-Stranded']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017786260694265366]
+Labels: ['Diabetes']
+Scores: [3.986845331382938e-05]
+Labels: ['Cancer']
+Scores: [0.999691367149353]
+Labels: ['Chronic respiratory disease']
+Scores: [6.464683974627405e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.775213452987373e-05]
+Labels: ['Mental Health']
+Scores: [5.593288005911745e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.047449667472392e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.815296415472403e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726750
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cerebral Hemorrhage', 'Retrospective Studies', 'Middle Aged', 'Propensity Score', 'Risk Factors', 'Neoplasms', 'Aged', 'Prognosis', 'Neutrophils', 'Hemoglobins', 'China', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8409529328346252]
+Labels: ['Diabetes']
+Scores: [6.606729584746063e-05]
+Labels: ['Cancer']
+Scores: [0.9995381236076355]
+Labels: ['Chronic respiratory disease']
+Scores: [5.615943518932909e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001808076398447156]
+Labels: ['Mental Health']
+Scores: [0.0013365775812417269]
+Labels: ['Diabetes type 1']
+Scores: [4.639054895960726e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.818076195078902e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726590
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Cell Movement', 'Immunotherapy', 'Mesenchymal Stem Cell Transplantation', 'Mesenchymal Stem Cells', 'Neoplasms', 'Tumor Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000577383441850543]
+Labels: ['Diabetes']
+Scores: [5.087297176942229e-05]
+Labels: ['Cancer']
+Scores: [0.9978854656219482]
+Labels: ['Chronic respiratory disease']
+Scores: [8.950450137490407e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.139322744682431e-05]
+Labels: ['Mental Health']
+Scores: [3.8719641452189535e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.174674101406708e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.661802035523579e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726589
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Bibliometrics', 'Methylation', 'Tumor Microenvironment', 'RNA', 'Lymphocytes, Tumor-Infiltrating', 'Animals', 'RNA Methylation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003057536669075489]
+Labels: ['Diabetes']
+Scores: [4.436905510374345e-05]
+Labels: ['Cancer']
+Scores: [0.784459114074707]
+Labels: ['Chronic respiratory disease']
+Scores: [5.522513674804941e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011846402048831806]
+Labels: ['Mental Health']
+Scores: [3.5951823520008475e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.134319144417532e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.736836126539856e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726379
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Lipid Metabolism', 'Neoplasms', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0006934936391189694]
+Labels: ['Diabetes']
+Scores: [6.749199383193627e-05]
+Labels: ['Cancer']
+Scores: [0.8969127535820007]
+Labels: ['Chronic respiratory disease']
+Scores: [4.6262659452622756e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.029689342947677e-05]
+Labels: ['Mental Health']
+Scores: [3.634296444943175e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.567131640622392e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.244863470783457e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726369
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Reactive Oxygen Species', 'Glutathione', 'Photochemotherapy', 'Animals', 'Tumor Microenvironment', 'Nanostructures', 'Antineoplastic Agents', 'Photosensitizing Agents', 'Antioxidants', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004162534896750003]
+Labels: ['Diabetes']
+Scores: [5.906307706027292e-05]
+Labels: ['Cancer']
+Scores: [0.9930109977722168]
+Labels: ['Chronic respiratory disease']
+Scores: [8.167935448000208e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012498161231633276]
+Labels: ['Mental Health']
+Scores: [3.6965302570024505e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.298568718601018e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.702199218329042e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726308
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Connective Tissue Diseases', 'Vasculitis', 'Immunologic Factors', 'Immunomodulating Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01016527321189642]
+Labels: ['Diabetes']
+Scores: [5.0135186029365286e-05]
+Labels: ['Cancer']
+Scores: [0.9993389844894409]
+Labels: ['Chronic respiratory disease']
+Scores: [5.443421468953602e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005088881007395685]
+Labels: ['Mental Health']
+Scores: [6.506574572995305e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.804831405635923e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.753724715556018e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726258
+Predictions: ['Cancer']
+MeshTerm: ['Vaccinia virus', 'Humans', 'Animals', 'Cell Line, Tumor', 'Mice', 'Mice, Nude', 'Virus Replication', 'Oncolytic Viruses', 'Oncolytic Virotherapy', 'RNA-Binding Proteins', 'Neoplasms', 'Xenograft Model Antitumor Assays', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005366582423448563]
+Labels: ['Diabetes']
+Scores: [5.840769154019654e-05]
+Labels: ['Cancer']
+Scores: [0.9867327213287354]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011839336366392672]
+Labels: ['Cardiovascular diseases']
+Scores: [8.306850941153243e-05]
+Labels: ['Mental Health']
+Scores: [5.4160900617716834e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.945098332129419e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.362226460827515e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9340323805809021]
+Labels: ['Diabetes']
+Scores: [0.00014254306734073907]
+Labels: ['Cancer']
+Scores: [0.9952250123023987]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014831854961812496]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01122858002781868]
+Labels: ['Mental Health']
+Scores: [8.562750736018643e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011467736476333812]
+Labels: ['Diabetes type 2']
+Scores: [0.00010653279605321586]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726139
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Retrospective Studies', 'Female', 'Male', 'Japan', 'Middle Aged', 'Exercise', 'Smartphone', 'Databases, Factual', 'Aged', 'Adult', 'Cohort Studies', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9974653720855713]
+Labels: ['Diabetes']
+Scores: [0.00045894825598225]
+Labels: ['Cancer']
+Scores: [0.99982750415802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004977629869244993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.055533044040203094]
+Labels: ['Mental Health']
+Scores: [0.00014920998364686966]
+Labels: ['Diabetes type 1']
+Scores: [0.00022212824842426926]
+Labels: ['Diabetes type 2']
+Scores: [0.00020275589486118406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726004
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Taiwan', 'Qualitative Research', 'Guideline Adherence', 'Practice Guidelines as Topic', 'Neoplasms', 'Quality of Health Care', 'Case Managers', 'Medical Oncology', 'Interviews as Topic', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04597099870443344]
+Labels: ['Diabetes']
+Scores: [5.509473703568801e-05]
+Labels: ['Cancer']
+Scores: [0.9995599985122681]
+Labels: ['Chronic respiratory disease']
+Scores: [4.752666427521035e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.8304358390159905e-05]
+Labels: ['Mental Health']
+Scores: [5.8759600506164134e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.575303996214643e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.060653686290607e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3349469006061554]
+Labels: ['Diabetes']
+Scores: [8.622713357908651e-05]
+Labels: ['Cancer']
+Scores: [9.071334352483973e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008642438915558159]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9106764197349548]
+Labels: ['Mental Health']
+Scores: [0.00018161757907364517]
+Labels: ['Diabetes type 1']
+Scores: [0.0002581710577942431]
+Labels: ['Diabetes type 2']
+Scores: [0.0001947482378454879]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005343842785805464]
+Labels: ['Diabetes']
+Scores: [7.736792758805677e-05]
+Labels: ['Cancer']
+Scores: [0.9959014058113098]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004043487715534866]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010412060510134324]
+Labels: ['Mental Health']
+Scores: [5.2455096010817215e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.658416532445699e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.91954703850206e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0500645712018013]
+Labels: ['Diabetes']
+Scores: [6.01151077717077e-05]
+Labels: ['Cancer']
+Scores: [5.272053022054024e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001642343821004033]
+Labels: ['Cardiovascular diseases']
+Scores: [5.5255550250876695e-05]
+Labels: ['Mental Health']
+Scores: [0.00013649430184159428]
+Labels: ['Diabetes type 1']
+Scores: [0.00015956046991050243]
+Labels: ['Diabetes type 2']
+Scores: [0.0001384354691253975]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8361644744873047]
+Labels: ['Diabetes']
+Scores: [7.914638263173401e-05]
+Labels: ['Cancer']
+Scores: [0.014152218587696552]
+Labels: ['Chronic respiratory disease']
+Scores: [7.26026191841811e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011621436569839716]
+Labels: ['Mental Health']
+Scores: [8.839188376441598e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.375805529998615e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.043827983783558e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710468
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Allergens', 'Adult', 'Adolescent', 'Child', 'China', 'Middle Aged', 'Child, Preschool', 'Cross-Sectional Studies', 'Young Adult', 'Infant', 'Aged', 'Immunoglobulin E', 'Aged, 80 and over', 'Animals', 'Skin Diseases', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9949404001235962]
+Labels: ['Diabetes']
+Scores: [0.00035492866300046444]
+Labels: ['Cancer']
+Scores: [0.0004381875041872263]
+Labels: ['Chronic respiratory disease']
+Scores: [0.21394610404968262]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008150399080477655]
+Labels: ['Mental Health']
+Scores: [0.00024908059276640415]
+Labels: ['Diabetes type 1']
+Scores: [0.0003451383381616324]
+Labels: ['Diabetes type 2']
+Scores: [0.00023268649238161743]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707265
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Quality of Life', 'China', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Incineration', 'Adult', 'Surveys and Questionnaires', 'Residence Characteristics', 'Aged', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9750576615333557]
+Labels: ['Diabetes']
+Scores: [7.163533882703632e-05]
+Labels: ['Cancer']
+Scores: [6.898930587340146e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0048236851580441]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011078731040470302]
+Labels: ['Mental Health']
+Scores: [0.0003861795994453132]
+Labels: ['Diabetes type 1']
+Scores: [8.469656313536689e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.21470093796961e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nitrogen Dioxide', 'Republic of Korea', 'Cross-Over Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Air Pollutants', 'Young Adult', 'Adolescent', 'Child, Preschool', 'Child', 'Air Pollution', 'Infant', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8642216920852661]
+Labels: ['Diabetes']
+Scores: [3.8520996895385906e-05]
+Labels: ['Cancer']
+Scores: [4.6214463509386405e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010044310329249129]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006444893660955131]
+Labels: ['Mental Health']
+Scores: [0.00011947126768063754]
+Labels: ['Diabetes type 1']
+Scores: [5.032118133385666e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.069968392490409e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39694698
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Scotland', 'Male', 'Female', 'Air Pollution', 'Prospective Studies', 'Middle Aged', 'Particulate Matter', 'Hospitalization', 'Environmental Exposure', 'Adult', 'Nitrogen Dioxide', 'Aged', 'Air Pollutants', 'Sulfur Dioxide', 'Cardiovascular Diseases', 'Longitudinal Studies', 'Young Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9684292674064636]
+Labels: ['Diabetes']
+Scores: [6.931711686775088e-05]
+Labels: ['Cancer']
+Scores: [0.00013010903785470873]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015298801474273205]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011973763321293518]
+Labels: ['Mental Health']
+Scores: [0.09493118524551392]
+Labels: ['Diabetes type 1']
+Scores: [0.00016896508168429136]
+Labels: ['Diabetes type 2']
+Scores: [0.00014662198373116553]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39694558
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nebulizers and Vaporizers', 'Child', 'Administration, Inhalation', 'Respiratory Tract Diseases', 'Asthma', 'Home Care Services', 'Practice Guidelines as Topic', 'Respiratory Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.061849530786275864]
+Labels: ['Diabetes']
+Scores: [4.289274147595279e-05]
+Labels: ['Cancer']
+Scores: [7.708301563980058e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0032675873953849077]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010231698252027854]
+Labels: ['Mental Health']
+Scores: [0.0002198294532718137]
+Labels: ['Diabetes type 1']
+Scores: [5.173130193725228e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.196463123662397e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684326
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'Mast Cells', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013544249348342419]
+Labels: ['Diabetes']
+Scores: [4.522640665527433e-05]
+Labels: ['Cancer']
+Scores: [0.00010398264566902071]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01751210168004036]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010577571083558723]
+Labels: ['Mental Health']
+Scores: [0.00013246394519228488]
+Labels: ['Diabetes type 1']
+Scores: [5.5407785112038255e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.971214002580382e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684250
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Endocrine Disruptors', 'Humans', 'Respiratory System', 'Animals', 'Oxidative Stress', 'Respiratory Tract Diseases', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9185458421707153]
+Labels: ['Diabetes']
+Scores: [0.00012595448060892522]
+Labels: ['Cancer']
+Scores: [0.0007198942475952208]
+Labels: ['Chronic respiratory disease']
+Scores: [0.28358742594718933]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004228164325468242]
+Labels: ['Mental Health']
+Scores: [8.279257599497214e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001024185330606997]
+Labels: ['Diabetes type 2']
+Scores: [9.524505003355443e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39661886
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Child', 'Male', 'Homeostasis', 'Minerals', 'Vitamins', 'Ascorbic Acid', 'Respiratory Tract Diseases', 'Vitamin D', 'Recurrence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06827288866043091]
+Labels: ['Diabetes']
+Scores: [9.741987742017955e-05]
+Labels: ['Cancer']
+Scores: [0.00010226673475699499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4118117690086365]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00027033945661969483]
+Labels: ['Mental Health']
+Scores: [7.240549894049764e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.455399463651702e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.42797167529352e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661885
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Male', 'Antioxidants', 'Female', 'Ascorbic Acid', 'Interleukin-6', 'Glutathione Peroxidase', 'Hydrocortisone', 'Ferritins', 'Tumor Necrosis Factor-alpha', 'Respiratory Tract Diseases', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09032496809959412]
+Labels: ['Diabetes']
+Scores: [0.00011757013271562755]
+Labels: ['Cancer']
+Scores: [0.00025465001817792654]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0023028820287436247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005784701206721365]
+Labels: ['Mental Health']
+Scores: [6.03175358264707e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001626095181563869]
+Labels: ['Diabetes type 2']
+Scores: [7.553239993285388e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39659714
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Workplace', 'Occupational Diseases', 'Respiratory Tract Diseases', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8749950528144836]
+Labels: ['Diabetes']
+Scores: [4.0533221181249246e-05]
+Labels: ['Cancer']
+Scores: [5.6718905398156494e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3587172329425812]
+Labels: ['Cardiovascular diseases']
+Scores: [9.51806505327113e-05]
+Labels: ['Mental Health']
+Scores: [0.00011314230505377054]
+Labels: ['Diabetes type 1']
+Scores: [6.933946133358404e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.704890984110534e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39643329
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Adult', 'Prospective Studies', 'Nitrogen Dioxide', 'China', 'Aged', 'Environmental Exposure', 'Incidence', 'Musculoskeletal Diseases', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Air Pollutants', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6592787504196167]
+Labels: ['Diabetes']
+Scores: [0.00013546421541832387]
+Labels: ['Cancer']
+Scores: [0.977022647857666]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025398658588528633]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8482439517974854]
+Labels: ['Mental Health']
+Scores: [0.00010538227797951549]
+Labels: ['Diabetes type 1']
+Scores: [0.0001874418812803924]
+Labels: ['Diabetes type 2']
+Scores: [0.00024052485241554677]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39642570
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mustard Gas', 'Male', 'Biomarkers', 'Cross-Sectional Studies', 'Adult', 'Chemical Warfare Agents', 'Veterans', 'Middle Aged', 'Respiratory Tract Diseases', 'Iran']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8465833067893982]
+Labels: ['Diabetes']
+Scores: [7.295733666978776e-05]
+Labels: ['Cancer']
+Scores: [7.307577470783144e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9975962042808533]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016382600006181747]
+Labels: ['Mental Health']
+Scores: [0.00017400029173586518]
+Labels: ['Diabetes type 1']
+Scores: [5.911311018280685e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.986277392366901e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39640901
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Plants, Medicinal', 'Humans', 'Tanzania', 'Male', 'Female', 'Respiratory Tract Diseases', 'Adult', 'Middle Aged', 'Health Knowledge, Attitudes, Practice', 'Medicine, African Traditional', 'Aged', 'Phytotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2860456109046936]
+Labels: ['Diabetes']
+Scores: [0.00015817472012713552]
+Labels: ['Cancer']
+Scores: [0.00020084944844711572]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008405776694417]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018115423154085875]
+Labels: ['Mental Health']
+Scores: [0.00012497299758251756]
+Labels: ['Diabetes type 1']
+Scores: [0.0004279338172636926]
+Labels: ['Diabetes type 2']
+Scores: [0.0003448244242463261]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633457
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Respiratory Tract Diseases', 'Nanoparticles', 'Microplastics', 'Inhalation Exposure', 'Air Pollutants', 'Animals', 'Respiratory System']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7464867830276489]
+Labels: ['Diabetes']
+Scores: [0.00011578980775084347]
+Labels: ['Cancer']
+Scores: [0.0001764447515597567]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0038974652998149395]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12609928846359253]
+Labels: ['Mental Health']
+Scores: [0.00010350472439313307]
+Labels: ['Diabetes type 1']
+Scores: [0.00019748804334085435]
+Labels: ['Diabetes type 2']
+Scores: [0.00016437160957138985]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39633418
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Hospitalization', 'Child', 'Male', 'Female', 'Air Pollutants', 'Cross-Over Studies', 'Child, Preschool', 'COVID-19', 'Respiratory Tract Diseases', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Infant', 'Sulfur Dioxide', 'SARS-CoV-2', 'Adolescent', 'Nitrogen Dioxide', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9624237418174744]
+Labels: ['Diabetes']
+Scores: [6.694522744510323e-05]
+Labels: ['Cancer']
+Scores: [9.80554468696937e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00047786979121156037]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00043336814269423485]
+Labels: ['Mental Health']
+Scores: [0.00021762560936622322]
+Labels: ['Diabetes type 1']
+Scores: [7.147710130084306e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.0085254517616704e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39632975
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Lung Neoplasms', 'Genome-Wide Association Study', 'Ketone Bodies', 'Polymorphism, Single Nucleotide', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9434971809387207]
+Labels: ['Diabetes']
+Scores: [9.463721653446555e-05]
+Labels: ['Cancer']
+Scores: [0.9990099668502808]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9250296950340271]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001955736195668578]
+Labels: ['Mental Health']
+Scores: [0.00010194738570135087]
+Labels: ['Diabetes type 1']
+Scores: [8.748916297918186e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.714351133676246e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39620702
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Climate Change', 'Air Pollution', 'Particulate Matter', 'Environmental Exposure', 'Ozone', 'Respiratory Tract Diseases', 'Air Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7526493072509766]
+Labels: ['Diabetes']
+Scores: [4.1899256757460535e-05]
+Labels: ['Cancer']
+Scores: [6.905597547302023e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016702935099601746]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002931321505457163]
+Labels: ['Mental Health']
+Scores: [4.3446932977531105e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.242745828581974e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.68788600503467e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39617287
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'Female', 'Hypersensitivity', 'Male', 'France', 'Dietary Exposure', 'Child', 'Cohort Studies', 'Child, Preschool', 'Pesticides', 'Respiratory Tract Diseases', 'Environmental Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8849948048591614]
+Labels: ['Diabetes']
+Scores: [5.7699584431247786e-05]
+Labels: ['Cancer']
+Scores: [0.00017768327961675823]
+Labels: ['Chronic respiratory disease']
+Scores: [0.052596189081668854]
+Labels: ['Cardiovascular diseases']
+Scores: [9.933892579283565e-05]
+Labels: ['Mental Health']
+Scores: [0.00024934293469414115]
+Labels: ['Diabetes type 1']
+Scores: [6.709124863846228e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.901500455569476e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39615506
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Cardiovascular Diseases', 'Environmental Exposure', 'Fires', 'Global Burden of Disease', 'Global Health', 'Health Impact Assessment', 'Mortality', 'Ozone', 'Particulate Matter', 'Respiratory Tract Diseases', 'Wildfires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9118027091026306]
+Labels: ['Diabetes']
+Scores: [4.65196899313014e-05]
+Labels: ['Cancer']
+Scores: [0.0002010715688811615]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003906781319528818]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008794397115707397]
+Labels: ['Mental Health']
+Scores: [6.023743117111735e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.618350744247437e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.558345194207504e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39608993
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Australia', 'Adult', 'Adolescent', 'Hospitalization', 'Aged', 'Young Adult', 'Child', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Infant, Newborn', 'Aged, 80 and over', 'Sex Distribution', 'Age Distribution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9842815399169922]
+Labels: ['Diabetes']
+Scores: [9.635218884795904e-05]
+Labels: ['Cancer']
+Scores: [0.00022855015413369983]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04391952604055405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002845351991709322]
+Labels: ['Mental Health']
+Scores: [0.000591738149523735]
+Labels: ['Diabetes type 1']
+Scores: [0.00010754972026916221]
+Labels: ['Diabetes type 2']
+Scores: [0.0001070785874617286]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39607106
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Brazil', 'Hospitalization', 'Adolescent', 'Spatio-Temporal Analysis', 'Child', 'Respiratory Tract Diseases', 'Young Adult', 'Adult', 'Socioeconomic Factors', 'Child, Preschool', 'Female', 'Male', 'Middle Aged', 'Aged', 'Cluster Analysis', 'Infant', 'Urban Population', 'Space-Time Clustering', 'Cities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9959149360656738]
+Labels: ['Diabetes']
+Scores: [8.273851562989876e-05]
+Labels: ['Cancer']
+Scores: [8.692594565218315e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.39939960837364197]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017898152873385698]
+Labels: ['Mental Health']
+Scores: [0.0001886883983388543]
+Labels: ['Diabetes type 1']
+Scores: [0.0003397651598788798]
+Labels: ['Diabetes type 2']
+Scores: [0.00029043472022749484]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39603392
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Asia', 'Chronic Disease', 'Quality of Life', 'Qigong', 'Yoga', 'Tai Ji', 'Resistance Training', 'Respiratory Tract Diseases', 'Exercise Therapy', 'Exercise Tolerance', 'Practice Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9944658875465393]
+Labels: ['Diabetes']
+Scores: [9.739233064465225e-05]
+Labels: ['Cancer']
+Scores: [0.000100420176750049]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9992356896400452]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005320569965988398]
+Labels: ['Mental Health']
+Scores: [0.0001256575051229447]
+Labels: ['Diabetes type 1']
+Scores: [0.0001738205464789644]
+Labels: ['Diabetes type 2']
+Scores: [0.00016113222227431834]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39578996
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Adult', 'Aged', 'China', 'Aged, 80 and over', 'Hand Strength', 'Respiratory Tract Diseases', 'Muscle, Skeletal', 'Muscle Strength', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9489326477050781]
+Labels: ['Diabetes']
+Scores: [0.00014313460269477218]
+Labels: ['Cancer']
+Scores: [0.0001678156404523179]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007878687232732773]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004688990593422204]
+Labels: ['Mental Health']
+Scores: [7.343475590460002e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.167627674993128e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.563866140320897e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39578779
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Signal Transduction', 'Animals', 'Smad5 Protein', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01604057289659977]
+Labels: ['Diabetes']
+Scores: [7.309303327929229e-05]
+Labels: ['Cancer']
+Scores: [0.0037982689682394266]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9930737614631653]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008800198556855321]
+Labels: ['Mental Health']
+Scores: [4.30198160756845e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.615218732506037e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.13400256447494e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570415
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nutrition Surveys', 'Middle Aged', 'Male', 'Female', 'Adult', 'Aged', 'Antioxidants', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Aged, 80 and over', 'Infant', 'Chronic Disease', 'Child', 'Diet', 'United States', 'Respiratory Tract Diseases', 'Risk Factors', 'Mortality', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9724547266960144]
+Labels: ['Diabetes']
+Scores: [7.925768295535818e-05]
+Labels: ['Cancer']
+Scores: [0.00018468430789653212]
+Labels: ['Chronic respiratory disease']
+Scores: [0.995069146156311]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003192558418959379]
+Labels: ['Mental Health']
+Scores: [7.23847551853396e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.709717414807528e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.631958528188989e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39570333
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Vietnam', 'Humans', 'Hospitalization', 'Male', 'Female', 'Middle Aged', 'Temperature', 'Aged', 'Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Young Adult', 'Infant', 'Cardiovascular Diseases', 'Child, Preschool', 'Child', 'Poverty', 'Infant, Newborn', 'Aged, 80 and over', 'Risk']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9327491521835327]
+Labels: ['Diabetes']
+Scores: [0.0002283696667291224]
+Labels: ['Cancer']
+Scores: [0.00022689771139994264]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012276998721063137]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9960509538650513]
+Labels: ['Mental Health']
+Scores: [0.00015757721848785877]
+Labels: ['Diabetes type 1']
+Scores: [0.00033530936343595386]
+Labels: ['Diabetes type 2']
+Scores: [0.0002729270199779421]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39566943
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fukushima Nuclear Accident', 'Japan', 'Retrospective Studies', 'Male', 'Female', 'Aged', 'Middle Aged', 'Adult', 'Cause of Death', 'Young Adult', 'Adolescent', 'Child', 'Aged, 80 and over', 'Child, Preschool', 'Infant', 'Disasters', 'Earthquakes', 'Respiratory Tract Diseases', 'Cardiovascular Diseases', 'Suicide', 'Infant, Newborn', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9930006265640259]
+Labels: ['Diabetes']
+Scores: [8.844982221489772e-05]
+Labels: ['Cancer']
+Scores: [0.06371963769197464]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001831977569963783]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017630001530051231]
+Labels: ['Mental Health']
+Scores: [0.06240033358335495]
+Labels: ['Diabetes type 1']
+Scores: [0.00017343783110845834]
+Labels: ['Diabetes type 2']
+Scores: [0.0001462198415538296]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [3, 4]]
+---------------------------------
+---------------------------------
+PMID: 39566532
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Exosomes', 'Humans', 'Respiratory Tract Diseases', 'Animals', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9217946529388428]
+Labels: ['Diabetes']
+Scores: [6.52899470878765e-05]
+Labels: ['Cancer']
+Scores: [0.003067992627620697]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007669070269912481]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003237217024434358]
+Labels: ['Mental Health']
+Scores: [6.940234015928581e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.383852011524141e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.87554236012511e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39550655
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Particulate Matter', 'Middle Aged', 'Aged', 'Adult', 'Cohort Studies', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Neoplasms', 'Air Pollution', 'Air Pollutants', 'Cardiovascular Diseases', 'Italy', 'Rivers', 'Young Adult', 'Proportional Hazards Models', 'Manufacturing and Industrial Facilities', 'Adolescent', 'Cause of Death', 'Industry', 'Nitrogen Oxides', 'Child, Preschool', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9870775938034058]
+Labels: ['Diabetes']
+Scores: [9.596339805284515e-05]
+Labels: ['Cancer']
+Scores: [0.7523104548454285]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012122754007577896]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9841184020042419]
+Labels: ['Mental Health']
+Scores: [0.0001108173091779463]
+Labels: ['Diabetes type 1']
+Scores: [0.00012234509631525725]
+Labels: ['Diabetes type 2']
+Scores: [0.0001205744847538881]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39544058
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Volatile Organic Compounds', 'Air Pollution, Indoor', 'Pulmonary Disease, Chronic Obstructive', 'Respiratory Tract Diseases', 'Asthma', 'Sick Building Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9841858148574829]
+Labels: ['Diabetes']
+Scores: [5.206658170209266e-05]
+Labels: ['Cancer']
+Scores: [9.203754598274827e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9292078614234924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003910392406396568]
+Labels: ['Mental Health']
+Scores: [0.0002323504158994183]
+Labels: ['Diabetes type 1']
+Scores: [5.289124237606302e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.361082367016934e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39543369
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bipolar Disorder', 'Pulmonary Disease, Chronic Obstructive', 'Asthma', 'Prevalence', 'Female', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Male', 'Pneumonia', 'Odds Ratio', 'Respiration Disorders', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9925617575645447]
+Labels: ['Diabetes']
+Scores: [7.128140714485198e-05]
+Labels: ['Cancer']
+Scores: [0.0010071403812617064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9984003901481628]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001725375623209402]
+Labels: ['Mental Health']
+Scores: [0.10911504924297333]
+Labels: ['Diabetes type 1']
+Scores: [7.878561154939234e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.557609205832705e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39537245
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cell Communication', 'Extracellular Vesicles', 'Animals', 'Lung', 'Lung Diseases', 'Signal Transduction', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7303335070610046]
+Labels: ['Diabetes']
+Scores: [4.1343992052134126e-05]
+Labels: ['Cancer']
+Scores: [0.3632673919200897]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005866535939276218]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012581724440678954]
+Labels: ['Mental Health']
+Scores: [7.723684393567964e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.8853587941266596e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.8500798584427685e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39530346
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollution', 'Environmental Exposure', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Environmental Monitoring', 'Air Filters', 'Child', 'Exercise', 'Aged', 'Air Pollutants', 'Masks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027057794854044914]
+Labels: ['Diabetes']
+Scores: [5.645622513839044e-05]
+Labels: ['Cancer']
+Scores: [5.7304961956106126e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022466205700766295]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013975058391224593]
+Labels: ['Mental Health']
+Scores: [0.00013846893853042275]
+Labels: ['Diabetes type 1']
+Scores: [0.0001402533962391317]
+Labels: ['Diabetes type 2']
+Scores: [0.0001288896892219782]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39521464
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nepal', 'Child', 'Risk Factors', 'Female', 'Research Design', 'Male', 'Longitudinal Studies', 'Adult', 'Adolescent', 'Parents', 'Child, Preschool', 'Air Pollution', 'Respiratory Tract Diseases', 'Cohort Studies', 'Life Style', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004678490571677685]
+Labels: ['Diabetes']
+Scores: [0.00035215815296396613]
+Labels: ['Cancer']
+Scores: [0.00040913361590355635]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000540168141014874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00027103780303150415]
+Labels: ['Mental Health']
+Scores: [0.00029240024741739035]
+Labels: ['Diabetes type 1']
+Scores: [0.0017383035738021135]
+Labels: ['Diabetes type 2']
+Scores: [0.0020917586516588926]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39515807
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'RNA, Untranslated', 'RNA, Long Noncoding', 'Epigenesis, Genetic', 'MicroRNAs', 'Respiratory Tract Diseases', 'RNA, Circular']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030585696920752525]
+Labels: ['Diabetes']
+Scores: [0.00021981060854159296]
+Labels: ['Cancer']
+Scores: [0.0007745307520963252]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03176220878958702]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004790543462149799]
+Labels: ['Mental Health']
+Scores: [0.00013267005851957947]
+Labels: ['Diabetes type 1']
+Scores: [0.00039191008545458317]
+Labels: ['Diabetes type 2']
+Scores: [0.0002761252399068326]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39513278
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biomarkers', 'Female', 'Air Pollutants', 'Respiratory Tract Diseases', 'Chronic Disease', 'Environmental Exposure', 'Air Pollution', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1201871782541275]
+Labels: ['Diabetes']
+Scores: [5.786925248685293e-05]
+Labels: ['Cancer']
+Scores: [0.0001145759379141964]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9891254901885986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014229035878088325]
+Labels: ['Mental Health']
+Scores: [0.00011390175495762378]
+Labels: ['Diabetes type 1']
+Scores: [5.2242819947423413e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.3834941354580224e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39505076
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Particulate Matter', 'Republic of Korea', 'Cardiovascular Diseases', 'Humans', 'Air Pollutants', 'Air Pollution', 'Hospitalization', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00022775943216402084]
+Labels: ['Diabetes']
+Scores: [3.5715089325094596e-05]
+Labels: ['Cancer']
+Scores: [4.653136420529336e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019384881015866995]
+Labels: ['Cardiovascular diseases']
+Scores: [7.41135809221305e-05]
+Labels: ['Mental Health']
+Scores: [3.81792924599722e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.599822907242924e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.11463476868812e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39503908
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Occupational Injuries', "Workers' Compensation", 'Seasons', 'Middle Aged', 'Occupational Diseases', 'Emergency Responders', 'Mental Disorders', 'Firefighters', 'Victoria', 'Musculoskeletal Diseases', 'Wildfires', 'Respiratory Tract Diseases', 'Young Adult', 'Police']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006673931609839201]
+Labels: ['Diabetes']
+Scores: [5.288037209538743e-05]
+Labels: ['Cancer']
+Scores: [8.498693205183372e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.538061229046434e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.509815284516662e-05]
+Labels: ['Mental Health']
+Scores: [0.023747196421027184]
+Labels: ['Diabetes type 1']
+Scores: [6.178616604302078e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.9861631598323584e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39502059
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Sounds', 'Respiratory Tract Diseases', 'Auscultation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5183861255645752]
+Labels: ['Diabetes']
+Scores: [9.809944458538666e-05]
+Labels: ['Cancer']
+Scores: [7.923526572994888e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00031641896930523217]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000754514301661402]
+Labels: ['Mental Health']
+Scores: [0.00025113640003837645]
+Labels: ['Diabetes type 1']
+Scores: [7.917710900073871e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.74991388223134e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494780
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Antioxidants', 'Diet', 'Hypersensitivity', 'Child, Preschool', 'Inflammation', 'Male', 'Birth Cohort', 'Multimorbidity', 'Adult', 'Maternal Nutritional Physiological Phenomena', 'Infant', 'Respiratory Tract Diseases', 'Asthma', 'Prenatal Exposure Delayed Effects', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9673972129821777]
+Labels: ['Diabetes']
+Scores: [0.0002717330353334546]
+Labels: ['Cancer']
+Scores: [0.0008177662966772914]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010936209000647068]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0021860450506210327]
+Labels: ['Mental Health']
+Scores: [0.00011415193876018748]
+Labels: ['Diabetes type 1']
+Scores: [0.00023537661763839424]
+Labels: ['Diabetes type 2']
+Scores: [0.0002023663546424359]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39494537
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Caregivers', 'Chronic Disease', 'Patient Education as Topic', 'Health Literacy', 'Palliative Care', 'Advance Care Planning', 'Decision Making, Shared', 'Learning', 'Respiratory Tract Diseases', 'Health Knowledge, Attitudes, Practice', 'Adaptation, Psychological', 'Decision Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.37330397963523865]
+Labels: ['Diabetes']
+Scores: [6.23532832833007e-05]
+Labels: ['Cancer']
+Scores: [0.00021316553466022015]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9993101954460144]
+Labels: ['Cardiovascular diseases']
+Scores: [9.341937402496114e-05]
+Labels: ['Mental Health']
+Scores: [0.020558081567287445]
+Labels: ['Diabetes type 1']
+Scores: [9.4975606771186e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.550094207748771e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494092
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Europe', 'Nitrogen Dioxide', 'Ozone', 'Respiratory Tract Diseases', 'World Health Organization']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006793607026338577]
+Labels: ['Diabetes']
+Scores: [4.2612893594196066e-05]
+Labels: ['Cancer']
+Scores: [5.41356967005413e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015566900838166475]
+Labels: ['Cardiovascular diseases']
+Scores: [7.844051287975162e-05]
+Labels: ['Mental Health']
+Scores: [4.407381493365392e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.588124910602346e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.6803367594257e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39493756
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Computational Biology', 'User-Computer Interface', 'Databases, Factual', 'Respiratory Tract Diseases', 'Software']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019173042848706245]
+Labels: ['Diabetes']
+Scores: [0.00014448241563513875]
+Labels: ['Cancer']
+Scores: [0.00013339317229110748]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007246857974678278]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00040406070183962584]
+Labels: ['Mental Health']
+Scores: [0.00021857148385606706]
+Labels: ['Diabetes type 1']
+Scores: [0.00031881750328466296]
+Labels: ['Diabetes type 2']
+Scores: [0.00023164853337220848]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39489274
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Republic of Korea', 'Humans', 'Female', 'Male', 'Temperature', 'Middle Aged', 'Seasons', 'Aged', 'Cardiovascular Diseases', 'Mortality', 'Adult', 'Child', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Infant', 'Aged, 80 and over', 'Respiratory Tract Diseases', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4585191011428833]
+Labels: ['Diabetes']
+Scores: [7.447507232427597e-05]
+Labels: ['Cancer']
+Scores: [7.347010250668973e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.582859739661217e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004512784944381565]
+Labels: ['Mental Health']
+Scores: [0.00021773918706458062]
+Labels: ['Diabetes type 1']
+Scores: [0.0001779490412445739]
+Labels: ['Diabetes type 2']
+Scores: [0.0001735118858050555]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39477760
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Spain', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Adolescent', 'Young Adult', 'Cause of Death', 'Aged, 80 and over', 'Child', 'Child, Preschool', 'Infant', 'Respiratory Tract Diseases', 'Mortality', 'Pandemics', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9391825795173645]
+Labels: ['Diabetes']
+Scores: [4.554627594188787e-05]
+Labels: ['Cancer']
+Scores: [7.392554834950715e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029664065688848495]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003359368129167706]
+Labels: ['Mental Health']
+Scores: [8.3989514678251e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.738122490583919e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.458831219584681e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39472952
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'South Africa', 'Quality of Life', 'Child, Preschool', 'Infant', 'Male', 'Female', 'Delphi Technique', 'Surveys and Questionnaires', 'Respiratory Tract Diseases', 'Infant, Newborn', 'Psychometrics', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9846215844154358]
+Labels: ['Diabetes']
+Scores: [7.091704901540652e-05]
+Labels: ['Cancer']
+Scores: [0.00010605868010316044]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016105173854157329]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011055650975322351]
+Labels: ['Mental Health']
+Scores: [0.0004419866017997265]
+Labels: ['Diabetes type 1']
+Scores: [0.0001304419565713033]
+Labels: ['Diabetes type 2']
+Scores: [0.0001597195368958637]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39468133
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'South Africa', 'Female', 'Male', 'Eggs', 'Gastrointestinal Diseases', 'Infant Nutritional Physiological Phenomena', 'Respiratory Tract Diseases', 'Incidence', 'Morbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7862685918807983]
+Labels: ['Diabetes']
+Scores: [0.00022681563859805465]
+Labels: ['Cancer']
+Scores: [0.00012460528523661196]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012403370346873999]
+Labels: ['Cardiovascular diseases']
+Scores: [7.283953164005652e-05]
+Labels: ['Mental Health']
+Scores: [0.00016376508574467152]
+Labels: ['Diabetes type 1']
+Scores: [0.000375591975171119]
+Labels: ['Diabetes type 2']
+Scores: [0.00031181619851849973]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39466470
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bone Morphogenetic Protein 2', 'Signal Transduction', 'Animals', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Hypertension, Pulmonary']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11194466799497604]
+Labels: ['Diabetes']
+Scores: [4.319534855312668e-05]
+Labels: ['Cancer']
+Scores: [0.04425256326794624]
+Labels: ['Chronic respiratory disease']
+Scores: [0.940840482711792]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0036460033152252436]
+Labels: ['Mental Health']
+Scores: [5.639369192067534e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.264898209134117e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.202794636716135e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39465586
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Comorbidity', 'Patient Readmission', 'Length of Stay', 'Middle Aged', 'Retrospective Studies', 'Heart Failure', 'Prospective Studies', 'Hypertension', 'Myocardial Ischemia', 'Pulmonary Heart Disease', 'Aged, 80 and over', 'Prevalence', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8558511137962341]
+Labels: ['Diabetes']
+Scores: [5.382606104831211e-05]
+Labels: ['Cancer']
+Scores: [4.919465209241025e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9994810223579407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010037962783826515]
+Labels: ['Mental Health']
+Scores: [6.092486728448421e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000105832536064554]
+Labels: ['Diabetes type 2']
+Scores: [9.247389971278608e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462582
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Ozone', 'Japan', 'Particulate Matter', 'Humans', 'Air Pollutants', 'Cities', 'Aged', 'Female', 'Mortality', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'Air Pollution', 'Hot Temperature', 'Temperature', 'Respiratory Tract Diseases', 'Environmental Exposure', 'Young Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11914415657520294]
+Labels: ['Diabetes']
+Scores: [7.044664380373433e-05]
+Labels: ['Cancer']
+Scores: [7.786839705659077e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0058493963442742825]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002762730000540614]
+Labels: ['Mental Health']
+Scores: [0.00011850854207295924]
+Labels: ['Diabetes type 1']
+Scores: [0.00014246819773688912]
+Labels: ['Diabetes type 2']
+Scores: [0.00015049667854327708]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462039
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Gastrointestinal Microbiome', 'Genome-Wide Association Study', 'Lung', 'Respiratory Tract Diseases', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9799875020980835]
+Labels: ['Diabetes']
+Scores: [7.373570406343788e-05]
+Labels: ['Cancer']
+Scores: [9.889391367323697e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6839016675949097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006980538601055741]
+Labels: ['Mental Health']
+Scores: [0.0001503512030467391]
+Labels: ['Diabetes type 1']
+Scores: [0.00014340848429128528]
+Labels: ['Diabetes type 2']
+Scores: [0.0001323273463640362]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39457304
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'Dust', 'Adult', 'Male', 'Occupational Exposure', 'Ethiopia', 'Female', 'Paper', 'Middle Aged', 'Cough', 'Prevalence', 'Young Adult', 'Respiratory Tract Diseases', 'Respiratory Sounds', 'Surveys and Questionnaires', 'Occupational Diseases', 'Industry', 'Dyspnea', 'Air Pollutants, Occupational']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8739327192306519]
+Labels: ['Diabetes']
+Scores: [5.863830301677808e-05]
+Labels: ['Cancer']
+Scores: [9.573277202434838e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9981167912483215]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00037057045847177505]
+Labels: ['Mental Health']
+Scores: [0.0003995461738668382]
+Labels: ['Diabetes type 1']
+Scores: [7.344548794208094e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.294266106327996e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39453518
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'Aged', 'Female', 'Male', 'Cross-Over Studies', 'Altitude', 'Air Pollutants', 'Respiratory Tract Diseases', 'China', 'Extreme Weather', 'Aged, 80 and over', 'Middle Aged', 'Cities', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [5.107527977088466e-05]
+Labels: ['Diabetes']
+Scores: [4.009533586213365e-05]
+Labels: ['Cancer']
+Scores: [4.618866660166532e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.040306132286787e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.379031088319607e-05]
+Labels: ['Mental Health']
+Scores: [4.079705468029715e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.352008156478405e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.0685808673733845e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444957
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Adolescent', 'Adult', 'Child', 'Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8786912560462952]
+Labels: ['Diabetes']
+Scores: [4.9090296670328826e-05]
+Labels: ['Cancer']
+Scores: [9.497805149294436e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011451970785856247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002720116754062474]
+Labels: ['Mental Health']
+Scores: [0.00011210086813662201]
+Labels: ['Diabetes type 1']
+Scores: [8.984064334072173e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.731683919904754e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39444118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Middle Aged', 'Heating', 'Prospective Studies', 'Female', 'Male', 'Respiratory Tract Diseases', 'Proportional Hazards Models', 'China', 'Smoking', 'Risk Factors', 'Adult', 'Air Pollution, Indoor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06317324191331863]
+Labels: ['Diabetes']
+Scores: [4.797110159415752e-05]
+Labels: ['Cancer']
+Scores: [0.0002936710079666227]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022787360474467278]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009142214548774064]
+Labels: ['Mental Health']
+Scores: [0.00827581062912941]
+Labels: ['Diabetes type 1']
+Scores: [4.7077748604351655e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.5886063162470236e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39443904
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Netherlands', 'Female', 'Male', 'Adult', 'Middle Aged', 'Smoke', 'Wood', 'Air Pollutants', 'Environmental Exposure', 'Aged', 'Particulate Matter', 'Respiratory Tract Diseases', 'Glucose']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8443494439125061]
+Labels: ['Diabetes']
+Scores: [5.026123108109459e-05]
+Labels: ['Cancer']
+Scores: [5.49313444935251e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00036749595892615616]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000127984065329656]
+Labels: ['Mental Health']
+Scores: [0.0007287653279490769]
+Labels: ['Diabetes type 1']
+Scores: [7.622253178851679e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.118240318959579e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39439241
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Switzerland', 'Humans', 'History, 20th Century', 'History, 21st Century', 'History, 17th Century', 'History, 16th Century', 'Respiratory Tract Diseases', 'Male', 'Female', 'History, 18th Century', 'History, 19th Century', 'Adult', 'Middle Aged', 'Respiration Disorders', 'Aged', 'Child', 'Adolescent', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8436357378959656]
+Labels: ['Diabetes']
+Scores: [5.094977677799761e-05]
+Labels: ['Cancer']
+Scores: [5.189999865251593e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0031065051443874836]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001978507498279214]
+Labels: ['Mental Health']
+Scores: [8.451309258816764e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.345790123101324e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.042291741119698e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39436432
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Prospective Studies', 'Child', 'Respiratory Tract Diseases', 'Male', 'Female', 'Air Pollutants', 'Particulate Matter', 'Air Pollution', 'Child Health', 'Environmental Exposure', 'Air Pollution, Indoor', 'Adolescent', 'Environmental Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7966587543487549]
+Labels: ['Diabetes']
+Scores: [4.518892092164606e-05]
+Labels: ['Cancer']
+Scores: [7.073787855915725e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010960564395645633]
+Labels: ['Cardiovascular diseases']
+Scores: [7.558050128864124e-05]
+Labels: ['Mental Health']
+Scores: [0.00013284158194437623]
+Labels: ['Diabetes type 1']
+Scores: [8.621674351161346e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.214528497774154e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39435892
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'United Kingdom', 'Particulate Matter', 'Male', 'Female', 'Middle Aged', 'Aged', 'Proportional Hazards Models', 'Environmental Exposure', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Mortality', 'Time Factors', 'Air Pollution', 'Air Pollutants', 'Adult', 'Cohort Studies', 'Machine Learning', 'Respiratory Tract Diseases', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9833500981330872]
+Labels: ['Diabetes']
+Scores: [5.828612484037876e-05]
+Labels: ['Cancer']
+Scores: [0.9936589002609253]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016654562205076218]
+Labels: ['Cardiovascular diseases']
+Scores: [0.032646067440509796]
+Labels: ['Mental Health']
+Scores: [6.666262197541073e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.392236875602975e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.561212209518999e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[0, 2], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39434079
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Air Pollution', 'Respiratory Tract Diseases', 'Risk Assessment', 'Air Pollutants', 'Reproducibility of Results']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5953745245933533]
+Labels: ['Diabetes']
+Scores: [4.704657112597488e-05]
+Labels: ['Cancer']
+Scores: [5.898753443034366e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00028198803192935884]
+Labels: ['Cardiovascular diseases']
+Scores: [7.128516881493852e-05]
+Labels: ['Mental Health']
+Scores: [7.006582745816559e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00014219092554412782]
+Labels: ['Diabetes type 2']
+Scores: [0.000132427885546349]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424664
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollution', 'Particulate Matter', 'Air Pollutants', 'Meteorological Concepts', 'Respiratory Tract Diseases', 'Iran', 'Sulfur Dioxide', 'Nitrogen Dioxide', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9861583709716797]
+Labels: ['Diabetes']
+Scores: [7.142456161091104e-05]
+Labels: ['Cancer']
+Scores: [0.00010770098742796108]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002688405103981495]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006517061265185475]
+Labels: ['Mental Health']
+Scores: [0.0008553554653190076]
+Labels: ['Diabetes type 1']
+Scores: [0.0001833638671087101]
+Labels: ['Diabetes type 2']
+Scores: [0.00016966481052804738]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39424373
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Surveys and Questionnaires', 'Child', 'Quality Improvement', 'Documentation', 'Preoperative Care', 'Pediatrics', 'Respiration Disorders', 'Respiratory Tract Diseases', 'Preoperative Period']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04408876970410347]
+Labels: ['Diabetes']
+Scores: [7.019242912065238e-05]
+Labels: ['Cancer']
+Scores: [0.0017101700650528073]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009462241432629526]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00034828056232072413]
+Labels: ['Mental Health']
+Scores: [0.00010306506737833843]
+Labels: ['Diabetes type 1']
+Scores: [7.703751907683909e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.306351133389398e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39423508
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Phthalic Acids', 'Male', 'Female', 'Child', 'China', 'Cardiovascular Diseases', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Anthropometry', 'Dust', 'Schools', 'Endocrine Disruptors', 'Risk Assessment', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.31843966245651245]
+Labels: ['Diabetes']
+Scores: [0.0006202157819643617]
+Labels: ['Cancer']
+Scores: [0.14015237987041473]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02494395151734352]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9942530393600464]
+Labels: ['Mental Health']
+Scores: [0.0004455358721315861]
+Labels: ['Diabetes type 1']
+Scores: [0.00025221810210496187]
+Labels: ['Diabetes type 2']
+Scores: [0.000303699285723269]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421822
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ambulances', 'China', 'Middle Aged', 'Cardiovascular Diseases', 'Temperature', 'Aged', 'Adult', 'Emergency Medical Services', 'Respiratory Tract Diseases', 'Seasons']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9895040988922119]
+Labels: ['Diabetes']
+Scores: [0.0036789095029234886]
+Labels: ['Cancer']
+Scores: [0.0001756749552441761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02984735742211342]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9963982701301575]
+Labels: ['Mental Health']
+Scores: [0.00021611564443446696]
+Labels: ['Diabetes type 1']
+Scores: [0.0008237421861849725]
+Labels: ['Diabetes type 2']
+Scores: [0.001392581732943654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39419650
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Omalizumab', 'Anti-Inflammatory Agents, Non-Steroidal', 'Antibodies, Anti-Idiotypic', 'Asthma, Aspirin-Induced', 'Anti-Allergic Agents', 'Drug Hypersensitivity', 'Respiratory Tract Diseases', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6673780679702759]
+Labels: ['Diabetes']
+Scores: [6.315065547823906e-05]
+Labels: ['Cancer']
+Scores: [0.0003192204749211669]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9894770383834839]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018052031518891454]
+Labels: ['Mental Health']
+Scores: [7.884747901698574e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.605295442976058e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00018500366422813386]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39419227
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Microbiota', 'Air Microbiology', 'Middle Aged', 'Cross-Sectional Studies', 'China', 'Prevalence', 'Adult', 'Female', 'Aged', 'Air Pollution, Indoor', 'Respiratory Tract Diseases', 'Male', 'Plants', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33906468749046326]
+Labels: ['Diabetes']
+Scores: [7.967840792844072e-05]
+Labels: ['Cancer']
+Scores: [0.00014804465172346681]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01278636883944273]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002751995576545596]
+Labels: ['Mental Health']
+Scores: [0.00019287661416456103]
+Labels: ['Diabetes type 1']
+Scores: [0.0002139367861673236]
+Labels: ['Diabetes type 2']
+Scores: [0.00019375879492145032]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39410863
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Africa', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Infections', 'Respiratory Tract Diseases', 'Female', 'Risk Factors', 'Family Characteristics', 'Child', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.94700026512146]
+Labels: ['Diabetes']
+Scores: [4.017796163680032e-05]
+Labels: ['Cancer']
+Scores: [6.015614417265169e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9290216565132141]
+Labels: ['Cardiovascular diseases']
+Scores: [7.436738087562844e-05]
+Labels: ['Mental Health']
+Scores: [6.68592838337645e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.63992910226807e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.7337158321170136e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39408565
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'TRPV Cation Channels', 'Receptors, Adrenergic, beta-2', 'Animals', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9901866316795349]
+Labels: ['Diabetes']
+Scores: [6.694382318528369e-05]
+Labels: ['Cancer']
+Scores: [7.836059376131743e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9953598380088806]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008847424178384244]
+Labels: ['Mental Health']
+Scores: [0.00021879616542719305]
+Labels: ['Diabetes type 1']
+Scores: [8.321255882037804e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.3374441601336e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39406209
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Northern Territory', 'Animals', 'Smoke', 'Turtles', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9148094058036804]
+Labels: ['Diabetes']
+Scores: [4.0397448174189776e-05]
+Labels: ['Cancer']
+Scores: [6.165216473164037e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9262742400169373]
+Labels: ['Cardiovascular diseases']
+Scores: [8.715544390724972e-05]
+Labels: ['Mental Health']
+Scores: [0.0004286571638658643]
+Labels: ['Diabetes type 1']
+Scores: [5.731848796131089e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.128345557954162e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39395132
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Sarcopenia', 'Genome-Wide Association Study', 'Body Mass Index', 'Respiratory Tract Diseases', 'Male', 'Pulmonary Disease, Chronic Obstructive', 'Female', 'Smoking', 'Pneumoconiosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33337852358818054]
+Labels: ['Diabetes']
+Scores: [4.7601799451513216e-05]
+Labels: ['Cancer']
+Scores: [6.909790681675076e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006808336824178696]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022123816597741097]
+Labels: ['Mental Health']
+Scores: [7.67480451031588e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.1410690755583346e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.160163734923117e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39394579
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Japan', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Tobacco Products', 'Surveys and Questionnaires', 'Internet', 'Smoking', 'Hot Temperature', 'Aged', 'Young Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9924779534339905]
+Labels: ['Diabetes']
+Scores: [6.256471533561125e-05]
+Labels: ['Cancer']
+Scores: [0.00046645980910398066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012393537908792496]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006030273507349193]
+Labels: ['Mental Health']
+Scores: [0.00025268239551223814]
+Labels: ['Diabetes type 1']
+Scores: [0.00013262407446745783]
+Labels: ['Diabetes type 2']
+Scores: [0.00012413661170285195]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39391315
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Liquid-Liquid Extraction', 'Signal Transduction', 'Phase Separation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030312838032841682]
+Labels: ['Diabetes']
+Scores: [8.608640200691298e-05]
+Labels: ['Cancer']
+Scores: [0.00010868755634874105]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000354332965798676]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011729593388736248]
+Labels: ['Mental Health']
+Scores: [6.259557994781062e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.598364365752786e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.035303471842781e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39389134
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Particulate Matter', 'Aged', 'Humans', 'Air Pollutants', 'Risk Assessment', 'China', 'Air Pollution', 'Environmental Exposure', 'Fossil Fuels', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8559699058532715]
+Labels: ['Diabetes']
+Scores: [0.00010890526755247265]
+Labels: ['Cancer']
+Scores: [0.00013709125050809234]
+Labels: ['Chronic respiratory disease']
+Scores: [0.030997784808278084]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014909018063917756]
+Labels: ['Mental Health']
+Scores: [0.00034511846024543047]
+Labels: ['Diabetes type 1']
+Scores: [9.564214997226372e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.110400424106047e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39384295
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Rain', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Global Health', 'Cause of Death', 'Mortality', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.993456244468689]
+Labels: ['Diabetes']
+Scores: [6.510069215437397e-05]
+Labels: ['Cancer']
+Scores: [0.00011276226723566651]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001693800586508587]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9887455105781555]
+Labels: ['Mental Health']
+Scores: [9.130424587056041e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.233817061409354e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.258590969489887e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39384238
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Observational Studies as Topic', 'Respiratory Tract Diseases', 'Systematic Reviews as Topic', 'Walking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010013168677687645]
+Labels: ['Diabetes']
+Scores: [6.498118455056101e-05]
+Labels: ['Cancer']
+Scores: [7.014479342615232e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.887239265372045e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012548125232569873]
+Labels: ['Mental Health']
+Scores: [0.00014710976392962039]
+Labels: ['Diabetes type 1']
+Scores: [0.00010019219189416617]
+Labels: ['Diabetes type 2']
+Scores: [0.00010753849346656352]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39374569
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Saliva', 'Breath Tests', 'Respiratory Tract Diseases', 'Exhalation', 'Electrochemical Techniques', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21128679811954498]
+Labels: ['Diabetes']
+Scores: [0.00019118831551168114]
+Labels: ['Cancer']
+Scores: [0.00021863056463189423]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005484762601554394]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013116993941366673]
+Labels: ['Mental Health']
+Scores: [8.459095261059701e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0007375198183581233]
+Labels: ['Diabetes type 2']
+Scores: [0.000490066478960216]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39370174
+Predictions: ['Chronic respiratory disease', 'Mental Health']
+MeshTerm: ['Humans', 'Comorbidity', 'Mental Disorders', 'Respiratory Tract Diseases', 'Quality of Life', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9617183208465576]
+Labels: ['Diabetes']
+Scores: [3.747676601051353e-05]
+Labels: ['Cancer']
+Scores: [4.742884266306646e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06680350750684738]
+Labels: ['Cardiovascular diseases']
+Scores: [6.461189332185313e-05]
+Labels: ['Mental Health']
+Scores: [0.9994015097618103]
+Labels: ['Diabetes type 1']
+Scores: [5.917521411902271e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.08237533015199e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39370173
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mental Disorders', 'Tuberculosis, Pulmonary', 'Tuberculosis', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6016246676445007]
+Labels: ['Diabetes']
+Scores: [3.7590652937069535e-05]
+Labels: ['Cancer']
+Scores: [4.223905489197932e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0033961532171815634]
+Labels: ['Cardiovascular diseases']
+Scores: [4.937539779348299e-05]
+Labels: ['Mental Health']
+Scores: [0.6740491986274719]
+Labels: ['Diabetes type 1']
+Scores: [3.978668246418238e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.910039959009737e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39366894
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Prenatal Exposure Delayed Effects', 'Smoking', 'Child', 'Infant, Newborn', 'Respiratory Tract Diseases', 'Adolescent', 'Maternal Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9892947673797607]
+Labels: ['Diabetes']
+Scores: [4.57273235952016e-05]
+Labels: ['Cancer']
+Scores: [0.0007343189790844917]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03360152617096901]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0020559567492455244]
+Labels: ['Mental Health']
+Scores: [0.00025321103748865426]
+Labels: ['Diabetes type 1']
+Scores: [6.117445445852354e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.125214713392779e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39364938
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'United Kingdom', 'Veterinary Medicine', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09307362139225006]
+Labels: ['Diabetes']
+Scores: [3.821050631813705e-05]
+Labels: ['Cancer']
+Scores: [4.6903649490559474e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002461661642882973]
+Labels: ['Cardiovascular diseases']
+Scores: [6.682021194137633e-05]
+Labels: ['Mental Health']
+Scores: [4.813545092474669e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.5675529438303784e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.1324983360245824e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39362458
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Residence Characteristics', 'Aged', 'Mortality', 'Cities', 'Middle Aged', 'Aging', 'Cardiovascular Diseases', 'Male', 'Female', 'Neoplasms', 'Respiratory Tract Diseases', 'Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9764096736907959]
+Labels: ['Diabetes']
+Scores: [0.0001518889475846663]
+Labels: ['Cancer']
+Scores: [0.19349943101406097]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006974684074521065]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9867904782295227]
+Labels: ['Mental Health']
+Scores: [0.00017929301247932017]
+Labels: ['Diabetes type 1']
+Scores: [0.00037719463580287993]
+Labels: ['Diabetes type 2']
+Scores: [0.00030337314819917083]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39362179
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Pilot Projects', 'Aged', 'Male', 'Chronic Disease', 'Female', 'Exercise Therapy', 'Prospective Studies', 'Problem Solving', 'Physical Functional Performance', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8467963337898254]
+Labels: ['Diabetes']
+Scores: [5.160806540516205e-05]
+Labels: ['Cancer']
+Scores: [6.131982809165493e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9981561899185181]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011496230581542477]
+Labels: ['Mental Health']
+Scores: [0.0005696415901184082]
+Labels: ['Diabetes type 1']
+Scores: [4.9644157115835696e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.2754072385141626e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39353528
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Taiwan', 'Humans', 'Cardiovascular Diseases', 'Climate Change', 'Temperature', 'Middle Aged', 'Aged', 'Adult', 'Respiratory Tract Diseases', 'Male', 'Female', 'Seasons', 'Vulnerable Populations', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9769979119300842]
+Labels: ['Diabetes']
+Scores: [0.0006343746790662408]
+Labels: ['Cancer']
+Scores: [0.00021656748140230775]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17295421659946442]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9947845935821533]
+Labels: ['Mental Health']
+Scores: [0.00010600726818665862]
+Labels: ['Diabetes type 1']
+Scores: [0.0004801616305485368]
+Labels: ['Diabetes type 2']
+Scores: [0.00041761790635064244]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39354585
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Chemoradiotherapy', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.119414784014225]
+Labels: ['Diabetes']
+Scores: [5.492482159752399e-05]
+Labels: ['Cancer']
+Scores: [0.9995077252388]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015311626717448235]
+Labels: ['Cardiovascular diseases']
+Scores: [9.833421790972352e-05]
+Labels: ['Mental Health']
+Scores: [8.965755114331841e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.968589488882571e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.738336717011407e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39352090
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Slovakia', 'Occupational Diseases', 'Adult', 'Male', 'Female', 'Prevalence', 'Middle Aged', 'Agriculture', 'Occupational Exposure', 'Manufacturing Industry', 'Asthma, Occupational', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9325399398803711]
+Labels: ['Diabetes']
+Scores: [9.829337795963511e-05]
+Labels: ['Cancer']
+Scores: [8.347761468030512e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06174714118242264]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013058270269539207]
+Labels: ['Mental Health']
+Scores: [5.0484552048146725e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00027824443532153964]
+Labels: ['Diabetes type 2']
+Scores: [0.0003001910517923534]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39348213
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['China', 'Air Pollutants', 'Humans', 'Bayes Theorem', 'Particulate Matter', 'Air Pollution', 'Respiratory Tract Diseases', 'Sulfur Dioxide', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8238711357116699]
+Labels: ['Diabetes']
+Scores: [5.09470519318711e-05]
+Labels: ['Cancer']
+Scores: [5.96217651036568e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00036944696330465376]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000538225460331887]
+Labels: ['Mental Health']
+Scores: [5.9952759329462424e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.856032268842682e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.677568308077753e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39338131
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Brazil', 'Humans', 'Male', 'Female', 'Mortality', 'Middle Aged', 'Adult', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Cardiovascular Diseases', 'Temperature', 'Hot Temperature', 'Aged, 80 and over', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08697345107793808]
+Labels: ['Diabetes']
+Scores: [0.00012959072773810476]
+Labels: ['Cancer']
+Scores: [0.000329490372678265]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020949330646544695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028140434995293617]
+Labels: ['Mental Health']
+Scores: [0.00013495024177245796]
+Labels: ['Diabetes type 1']
+Scores: [0.000293022021651268]
+Labels: ['Diabetes type 2']
+Scores: [0.00026602233992889524]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39334540
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Italy', 'Child', 'Pesticides', 'Female', 'Male', 'Adolescent', 'Environmental Exposure', 'Surveys and Questionnaires', 'Risk Factors', 'Health Status', 'Logistic Models', 'Agriculture', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.969902753829956]
+Labels: ['Diabetes']
+Scores: [7.487209950340912e-05]
+Labels: ['Cancer']
+Scores: [0.0001087536511477083]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010980778373777866]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010454111907165498]
+Labels: ['Mental Health']
+Scores: [0.0006253346218727529]
+Labels: ['Diabetes type 1']
+Scores: [0.00016146623238455504]
+Labels: ['Diabetes type 2']
+Scores: [0.0001443623041268438]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39332351
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Wildfires', 'Smoke', 'Occupational Exposure', 'Firefighters', 'Respiratory Tract Diseases', 'Respiratory Function Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03903587535023689]
+Labels: ['Diabetes']
+Scores: [5.028743180446327e-05]
+Labels: ['Cancer']
+Scores: [8.783644443610683e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006490506348200142]
+Labels: ['Cardiovascular diseases']
+Scores: [6.417452095774934e-05]
+Labels: ['Mental Health']
+Scores: [0.0001546213898109272]
+Labels: ['Diabetes type 1']
+Scores: [6.638710328843445e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.071489380905405e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39331188
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'COVID-19', 'Glioma', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Adult', 'Aged', 'Brain Neoplasms', 'SEER Program', 'Young Adult', 'Pandemics', 'Respiratory Tract Diseases', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9990846514701843]
+Labels: ['Diabetes']
+Scores: [9.971400868380442e-05]
+Labels: ['Cancer']
+Scores: [0.999862015247345]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07908262312412262]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002463036507833749]
+Labels: ['Mental Health']
+Scores: [0.0010133121395483613]
+Labels: ['Diabetes type 1']
+Scores: [0.00010899765038629994]
+Labels: ['Diabetes type 2']
+Scores: [9.377074457006529e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39323116
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Vietnam', 'Male', 'Female', 'Prospective Studies', 'Infant', 'Infant, Newborn', 'Intensive Care Units, Pediatric', 'Infant, Premature', 'Critical Illness', 'Respiration, Artificial', 'Length of Stay', 'Child, Preschool', 'Respiratory Tract Diseases', 'Infant, Premature, Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07216568291187286]
+Labels: ['Diabetes']
+Scores: [4.8447873268742114e-05]
+Labels: ['Cancer']
+Scores: [7.620992982992902e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01029791310429573]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001244340237462893]
+Labels: ['Mental Health']
+Scores: [7.649245526408777e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.786150384461507e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.2195031710434705e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316790
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'China', 'Male', 'Female', 'Middle Aged', 'Cohort Studies', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases', 'Aged', 'Air Pollutants', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9314619898796082]
+Labels: ['Diabetes']
+Scores: [5.483182758325711e-05]
+Labels: ['Cancer']
+Scores: [8.818888454698026e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011059939861297607]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016995517071336508]
+Labels: ['Mental Health']
+Scores: [7.39753304515034e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011846439156215638]
+Labels: ['Diabetes type 2']
+Scores: [0.00013356609269976616]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39316681
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Mechanotransduction, Cellular', 'Stress, Mechanical', 'Extracellular Matrix', 'Respiratory Mechanics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02050447091460228]
+Labels: ['Diabetes']
+Scores: [4.828350938623771e-05]
+Labels: ['Cancer']
+Scores: [0.010193558409810066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0037429239600896835]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000881380052305758]
+Labels: ['Mental Health']
+Scores: [4.508191705099307e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.7325378293171525e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.3377974836621433e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39314792
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Air Pollutants', 'Particulate Matter', 'Respiratory Function Tests', 'Air Pollution', 'Nitrogen Dioxide', 'Environmental Exposure', 'Chronic Disease', 'Male', 'Forced Expiratory Volume', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6795455813407898]
+Labels: ['Diabetes']
+Scores: [4.314382022130303e-05]
+Labels: ['Cancer']
+Scores: [6.917110295034945e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9961469769477844]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00044282121234573424]
+Labels: ['Mental Health']
+Scores: [5.334416346158832e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.540217560133897e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.408465974847786e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39304964
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bronchoscopy', 'Infant, Newborn', 'Retrospective Studies', 'Male', 'Female', 'Fiber Optic Technology', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01794140599668026]
+Labels: ['Diabetes']
+Scores: [4.177029404672794e-05]
+Labels: ['Cancer']
+Scores: [9.733681508805603e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010014958679676056]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00024085254699457437]
+Labels: ['Mental Health']
+Scores: [0.0001292975794058293]
+Labels: ['Diabetes type 1']
+Scores: [4.4436870666686445e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.9627684600418434e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39293035
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Tract Diseases', 'Pediatrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05807510018348694]
+Labels: ['Diabetes']
+Scores: [3.5597153328126296e-05]
+Labels: ['Cancer']
+Scores: [5.304656224325299e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008083988912403584]
+Labels: ['Cardiovascular diseases']
+Scores: [5.6322380260098726e-05]
+Labels: ['Mental Health']
+Scores: [8.115686796372756e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.922619336866774e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.36676709796302e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9755494594573975]
+Labels: ['Diabetes']
+Scores: [0.0003672212769743055]
+Labels: ['Cancer']
+Scores: [0.00021444533194880933]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003306308528408408]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996333122253418]
+Labels: ['Mental Health']
+Scores: [0.00027241487987339497]
+Labels: ['Diabetes type 1']
+Scores: [0.0008938910905271769]
+Labels: ['Diabetes type 2']
+Scores: [0.0008331916760653257]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3349469006061554]
+Labels: ['Diabetes']
+Scores: [8.622713357908651e-05]
+Labels: ['Cancer']
+Scores: [9.071334352483973e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008642438915558159]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9106764197349548]
+Labels: ['Mental Health']
+Scores: [0.00018161757907364517]
+Labels: ['Diabetes type 1']
+Scores: [0.0002581710577942431]
+Labels: ['Diabetes type 2']
+Scores: [0.0001947482378454879]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.038399361073970795]
+Labels: ['Diabetes']
+Scores: [0.00012974800483789295]
+Labels: ['Cancer']
+Scores: [7.079700299073011e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005671806284226477]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997653365135193]
+Labels: ['Mental Health']
+Scores: [0.0003880388685502112]
+Labels: ['Diabetes type 1']
+Scores: [6.796800880692899e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.294006354641169e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8116887211799622]
+Labels: ['Diabetes']
+Scores: [0.9985575675964355]
+Labels: ['Cancer']
+Scores: [5.080935443402268e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.732334051979706e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9974889159202576]
+Labels: ['Mental Health']
+Scores: [5.426097777672112e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001041662908392027]
+Labels: ['Diabetes type 2']
+Scores: [0.9994707703590393]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9872820377349854]
+Labels: ['Diabetes']
+Scores: [0.0001500489452155307]
+Labels: ['Cancer']
+Scores: [0.00010581941023701802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011165026808157563]
+Labels: ['Cardiovascular diseases']
+Scores: [0.999235212802887]
+Labels: ['Mental Health']
+Scores: [4.463208097149618e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.132859511533752e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.645019650226459e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9572930335998535]
+Labels: ['Diabetes']
+Scores: [0.0003188182308804244]
+Labels: ['Cancer']
+Scores: [0.43753811717033386]
+Labels: ['Chronic respiratory disease']
+Scores: [5.7204579206882045e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9853665232658386]
+Labels: ['Mental Health']
+Scores: [5.3440155170392245e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016240723198279738]
+Labels: ['Diabetes type 2']
+Scores: [0.00016794017574284226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9823164939880371]
+Labels: ['Diabetes']
+Scores: [0.007299902383238077]
+Labels: ['Cancer']
+Scores: [0.00023847563716117293]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005568607011809945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9995875358581543]
+Labels: ['Mental Health']
+Scores: [0.00014021848619449884]
+Labels: ['Diabetes type 1']
+Scores: [0.005064064171165228]
+Labels: ['Diabetes type 2']
+Scores: [0.006962710525840521]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Aged', 'Depression', 'Longitudinal Studies', 'Social Support', 'Cognition', 'Risk Factors', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.622870683670044]
+Labels: ['Diabetes']
+Scores: [7.042250217637047e-05]
+Labels: ['Cancer']
+Scores: [8.289559627883136e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00030179694294929504]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9994786977767944]
+Labels: ['Mental Health']
+Scores: [0.9986202120780945]
+Labels: ['Diabetes type 1']
+Scores: [5.6260698329424486e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.499744631582871e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8559324741363525]
+Labels: ['Diabetes']
+Scores: [0.00030265440000221133]
+Labels: ['Cancer']
+Scores: [9.285109990742058e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002517632965464145]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9992602467536926]
+Labels: ['Mental Health']
+Scores: [6.43070598016493e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000285201269434765]
+Labels: ['Diabetes type 2']
+Scores: [0.0003312911721877754]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016796467825770378]
+Labels: ['Diabetes']
+Scores: [8.167242049239576e-05]
+Labels: ['Cancer']
+Scores: [8.887401781976223e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.313910802826285e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9978630542755127]
+Labels: ['Mental Health']
+Scores: [3.846265099127777e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011361861834302545]
+Labels: ['Diabetes type 2']
+Scores: [9.611080167815089e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9786034226417542]
+Labels: ['Diabetes']
+Scores: [0.00021092186216264963]
+Labels: ['Cancer']
+Scores: [0.005402909126132727]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022249012545216829]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010930987074971199]
+Labels: ['Mental Health']
+Scores: [7.268637273227796e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013693016080651432]
+Labels: ['Diabetes type 2']
+Scores: [0.000124607773614116]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.300276517868042]
+Labels: ['Diabetes']
+Scores: [0.00031979530467651784]
+Labels: ['Cancer']
+Scores: [0.00018580052710603923]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001211255439557135]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996292591094971]
+Labels: ['Mental Health']
+Scores: [7.12958280928433e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003906582423951477]
+Labels: ['Diabetes type 2']
+Scores: [0.00039470617775805295]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6570098400115967]
+Labels: ['Diabetes']
+Scores: [9.777841478353366e-05]
+Labels: ['Cancer']
+Scores: [0.00016023404896259308]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00023424511891789734]
+Labels: ['Cardiovascular diseases']
+Scores: [0.999523401260376]
+Labels: ['Mental Health']
+Scores: [5.571083602262661e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011734584404621273]
+Labels: ['Diabetes type 2']
+Scores: [9.559947648085654e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9518141746520996]
+Labels: ['Diabetes']
+Scores: [0.00010512463632039726]
+Labels: ['Cancer']
+Scores: [0.0001243633741978556]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001297665003221482]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9962348937988281]
+Labels: ['Mental Health']
+Scores: [0.0012755882926285267]
+Labels: ['Diabetes type 1']
+Scores: [7.425751391565427e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.571726746391505e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733208
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Female', 'Male', 'Cross-Sectional Studies', 'Apolipoproteins B', 'Cholesterol', 'Brazil', 'Genetic Predisposition to Disease', 'Risk Factors', 'Cardiovascular Diseases', 'Dyslipidemias', 'Apolipoprotein B-100', 'Polymorphism, Genetic', 'Alleles', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9817691445350647]
+Labels: ['Diabetes']
+Scores: [0.001377901528030634]
+Labels: ['Cancer']
+Scores: [0.00014570857456419617]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017361107165925205]
+Labels: ['Cardiovascular diseases']
+Scores: [0.999693751335144]
+Labels: ['Mental Health']
+Scores: [5.1488888857420534e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0004493572632782161]
+Labels: ['Diabetes type 2']
+Scores: [0.0004125060804653913]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Air Pollution', 'Air Pollutants', 'Iran', 'Meteorological Concepts', 'Particulate Matter', 'Seasons', 'Sulfur Dioxide', 'Climate Change', 'Weather', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9936810731887817]
+Labels: ['Diabetes']
+Scores: [8.016697393031791e-05]
+Labels: ['Cancer']
+Scores: [0.00012620206689462066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8790202140808105]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9979584217071533]
+Labels: ['Mental Health']
+Scores: [0.004405703861266375]
+Labels: ['Diabetes type 1']
+Scores: [0.0001326531491940841]
+Labels: ['Diabetes type 2']
+Scores: [0.00012908210919704288]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8989394903182983]
+Labels: ['Diabetes']
+Scores: [0.00024763698456808925]
+Labels: ['Cancer']
+Scores: [0.00037579936906695366]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0036037813406437635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997406601905823]
+Labels: ['Mental Health']
+Scores: [0.00012809188046958297]
+Labels: ['Diabetes type 1']
+Scores: [0.0002913197677116841]
+Labels: ['Diabetes type 2']
+Scores: [0.00030046538449823856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733154
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Triglycerides', 'Arthritis', 'Blood Glucose', 'Nutrition Surveys', 'Risk Factors', 'Adult', 'Aged', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9965150356292725]
+Labels: ['Diabetes']
+Scores: [0.002821204485371709]
+Labels: ['Cancer']
+Scores: [0.0008179052965715528]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024824109277687967]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9983518123626709]
+Labels: ['Mental Health']
+Scores: [7.49363171053119e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0014294859720394015]
+Labels: ['Diabetes type 2']
+Scores: [0.0018303177785128355]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733150
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Ethiopia', 'Humans', 'Cardiovascular Diseases', 'Drugs, Essential', 'Cross-Sectional Studies', 'Health Services Accessibility', 'Drugs, Generic', 'Drug Costs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9979055523872375]
+Labels: ['Diabetes']
+Scores: [0.0007397845620289445]
+Labels: ['Cancer']
+Scores: [0.0005141815054230392]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003122398629784584]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996059536933899]
+Labels: ['Mental Health']
+Scores: [0.0003025351034011692]
+Labels: ['Diabetes type 1']
+Scores: [0.002213716506958008]
+Labels: ['Diabetes type 2']
+Scores: [0.0018396110972389579]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733137
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Manganese', 'Cardiovascular Diseases', 'Adult', 'Male', 'Female', 'Middle Aged', 'United States', 'Cross-Sectional Studies', 'Nutrition Surveys', 'Aged', 'Young Adult', 'Risk Factors', 'Bayes Theorem']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8796911835670471]
+Labels: ['Diabetes']
+Scores: [0.00013709483027923852]
+Labels: ['Cancer']
+Scores: [0.00024830090114846826]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001080700967577286]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997357726097107]
+Labels: ['Mental Health']
+Scores: [6.794520595576614e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00014389895659405738]
+Labels: ['Diabetes type 2']
+Scores: [0.0001355181884719059]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732966
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Dyslipidemias', 'Humans', 'Turkey', 'Delphi Technique', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cholesterol, LDL', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'PCSK9 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.985237181186676]
+Labels: ['Diabetes']
+Scores: [0.0003334548673592508]
+Labels: ['Cancer']
+Scores: [7.324845500988886e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014815265603829175]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997112154960632]
+Labels: ['Mental Health']
+Scores: [5.5438918934669346e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001419983891537413]
+Labels: ['Diabetes type 2']
+Scores: [0.00017418977222405374]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8032375574111938]
+Labels: ['Diabetes']
+Scores: [0.9994621872901917]
+Labels: ['Cancer']
+Scores: [0.00037849292857572436]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002682314661797136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9978150129318237]
+Labels: ['Mental Health']
+Scores: [6.568452226929367e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.005033324938267469]
+Labels: ['Diabetes type 2']
+Scores: [0.5561637282371521]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Young Adult', 'Longitudinal Studies', 'Male', 'Adolescent', 'Female', 'Cardiovascular Diseases', 'Universities', 'Cardiometabolic Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9956349730491638]
+Labels: ['Diabetes']
+Scores: [0.0009435048559680581]
+Labels: ['Cancer']
+Scores: [0.00010287782788509503]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010740281868493184]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9899982213973999]
+Labels: ['Mental Health']
+Scores: [0.00022750633070245385]
+Labels: ['Diabetes type 1']
+Scores: [0.00011196211562491953]
+Labels: ['Diabetes type 2']
+Scores: [0.0003385147429071367]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732415
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Troponin T', 'Aged', 'Male', 'Female', 'Follow-Up Studies', 'Natriuretic Peptide, Brain', 'Cardiovascular Diseases', 'Aged, 80 and over', 'Biomarkers', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8382918238639832]
+Labels: ['Diabetes']
+Scores: [0.00041256260010413826]
+Labels: ['Cancer']
+Scores: [0.00012213540321681648]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002772967563942075]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9993789196014404]
+Labels: ['Mental Health']
+Scores: [7.585898856632411e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011569886555662379]
+Labels: ['Diabetes type 2']
+Scores: [0.00015947793144732714]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009981894865632057]
+Labels: ['Diabetes']
+Scores: [8.412177703576162e-05]
+Labels: ['Cancer']
+Scores: [0.9725225567817688]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002495971566531807]
+Labels: ['Cardiovascular diseases']
+Scores: [0.887105405330658]
+Labels: ['Mental Health']
+Scores: [0.0005946886958554387]
+Labels: ['Diabetes type 1']
+Scores: [0.00022551458096131682]
+Labels: ['Diabetes type 2']
+Scores: [0.00017702598415780813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731858
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Myocardial Ischemia', 'Wearable Electronic Devices', 'Randomized Controlled Trials as Topic', 'Myocardial Infarction', 'Hospitalization', 'Cardiovascular Diseases', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7596076726913452]
+Labels: ['Diabetes']
+Scores: [4.452086432138458e-05]
+Labels: ['Cancer']
+Scores: [3.8059439248172566e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.0441779573448e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9986021518707275]
+Labels: ['Mental Health']
+Scores: [4.809220627066679e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.623526911018416e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.0174527132185176e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731821
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Cardiovascular Diseases', 'Saliva', 'Lab-On-A-Chip Devices', 'Immunoassay', 'Interleukin-6', 'C-Reactive Protein', 'Equipment Design', 'Procalcitonin', 'Limit of Detection']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007889283820986748]
+Labels: ['Diabetes']
+Scores: [0.0016641989350318909]
+Labels: ['Cancer']
+Scores: [0.0001397363084834069]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014371752040460706]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9991257190704346]
+Labels: ['Mental Health']
+Scores: [7.146660936996341e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.003964311443269253]
+Labels: ['Diabetes type 2']
+Scores: [0.003607938066124916]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bacteria', 'Biomarkers', 'Blood Glucose', 'Cardiometabolic Risk Factors', 'Cardiovascular Diseases', 'China', 'Cholesterol, HDL', 'Cholesterol, LDL', 'Cohort Studies', 'East Asian People', 'Feces', 'Gastrointestinal Microbiome', 'Indoleacetic Acids', 'Indoles', 'Propionates', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5873498320579529]
+Labels: ['Diabetes']
+Scores: [0.00014212410314939916]
+Labels: ['Cancer']
+Scores: [0.00010871047561522573]
+Labels: ['Chronic respiratory disease']
+Scores: [7.163001282606274e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9900859594345093]
+Labels: ['Mental Health']
+Scores: [0.00010959361679852009]
+Labels: ['Diabetes type 1']
+Scores: [9.030492947204039e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00010723729064920917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3024671971797943]
+Labels: ['Diabetes']
+Scores: [0.00159505195915699]
+Labels: ['Cancer']
+Scores: [0.022906377911567688]
+Labels: ['Chronic respiratory disease']
+Scores: [6.34395910310559e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.983074426651001]
+Labels: ['Mental Health']
+Scores: [4.723182792076841e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00018323016411159188]
+Labels: ['Diabetes type 2']
+Scores: [0.00025346322217956185]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731058
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'United States', 'Middle Aged', 'Depression', 'Adult', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Aged', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9839767217636108]
+Labels: ['Diabetes']
+Scores: [7.212625496322289e-05]
+Labels: ['Cancer']
+Scores: [4.121211895835586e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.571562724071555e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9549920558929443]
+Labels: ['Mental Health']
+Scores: [0.9996693134307861]
+Labels: ['Diabetes type 1']
+Scores: [4.665812957682647e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.10405698150862e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730958
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Triglycerides', 'Female', 'Middle Aged', 'Cardiovascular Diseases', 'Blood Glucose', 'Aged', 'Retrospective Studies', 'Cross-Sectional Studies', 'Atherosclerosis', 'China', 'Risk Factors', 'Longitudinal Studies', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9164341688156128]
+Labels: ['Diabetes']
+Scores: [0.004385627806186676]
+Labels: ['Cancer']
+Scores: [0.0006959714228287339]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000417012139223516]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9998002648353577]
+Labels: ['Mental Health']
+Scores: [7.406790246022865e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0017049505840986967]
+Labels: ['Diabetes type 2']
+Scores: [0.0009136888547800481]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730871
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Genome-Wide Association Study', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Carotid Intima-Media Thickness', 'Genetic Pleiotropy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03301757201552391]
+Labels: ['Diabetes']
+Scores: [0.007572805508971214]
+Labels: ['Cancer']
+Scores: [8.464795973850414e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006418710690923035]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997347593307495]
+Labels: ['Mental Health']
+Scores: [4.207992606097832e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00554265733808279]
+Labels: ['Diabetes type 2']
+Scores: [0.06497138738632202]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730843
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Electrocardiography', 'Male', 'Female', 'Middle Aged', 'Smoking', 'Adult', 'Cotinine', 'Arrhythmias, Cardiac', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9696513414382935]
+Labels: ['Diabetes']
+Scores: [0.00010975384066114202]
+Labels: ['Cancer']
+Scores: [0.00034890585811808705]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012897560372948647]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9998060464859009]
+Labels: ['Mental Health']
+Scores: [0.00016700272681191564]
+Labels: ['Diabetes type 1']
+Scores: [0.00018103276670444757]
+Labels: ['Diabetes type 2']
+Scores: [0.00016076589236035943]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730815
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chile', 'Male', 'Female', 'Exercise', 'Adult', 'Middle Aged', 'Depression', 'Cardiometabolic Risk Factors', 'Obesity', 'Prevalence', 'Overweight', 'Risk Factors', 'Aged', 'Young Adult', 'Cardiovascular Diseases', 'Waist Circumference', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9969556927680969]
+Labels: ['Diabetes']
+Scores: [0.0021620336920022964]
+Labels: ['Cancer']
+Scores: [0.00013500080967787653]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010912919969996437]
+Labels: ['Cardiovascular diseases']
+Scores: [0.993906557559967]
+Labels: ['Mental Health']
+Scores: [0.011453000828623772]
+Labels: ['Diabetes type 1']
+Scores: [0.0003570191329345107]
+Labels: ['Diabetes type 2']
+Scores: [0.00040919563616625965]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9758462309837341]
+Labels: ['Diabetes']
+Scores: [0.998637855052948]
+Labels: ['Cancer']
+Scores: [0.00017873568867798895]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021566289069596678]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9827271699905396]
+Labels: ['Mental Health']
+Scores: [5.4730033298255876e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.012665699236094952]
+Labels: ['Diabetes type 2']
+Scores: [0.059461258351802826]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9726916551589966]
+Labels: ['Diabetes']
+Scores: [0.000371488684322685]
+Labels: ['Cancer']
+Scores: [0.0005248059751465917]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9510629177093506]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9995273351669312]
+Labels: ['Mental Health']
+Scores: [0.0004528754798229784]
+Labels: ['Diabetes type 1']
+Scores: [0.00036867274320684373]
+Labels: ['Diabetes type 2']
+Scores: [0.0002408290165476501]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730152
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Cross-Sectional Studies', 'Dyslipidemias', 'Middle Aged', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Diet', 'Aged, 80 and over', 'Logistic Models', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9263920783996582]
+Labels: ['Diabetes']
+Scores: [0.0008724213694222271]
+Labels: ['Cancer']
+Scores: [5.5995020375121385e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.268112626159564e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996708631515503]
+Labels: ['Mental Health']
+Scores: [0.00012112001422792673]
+Labels: ['Diabetes type 1']
+Scores: [0.00011660830932669342]
+Labels: ['Diabetes type 2']
+Scores: [0.00023695685376878828]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729514
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Tobacco Smoke Pollution', 'Global Burden of Disease', 'Male', 'Female', 'Disability-Adjusted Life Years', 'Middle Aged', 'Global Health', 'Adult', 'Aged', 'Quality-Adjusted Life Years']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.992547333240509]
+Labels: ['Diabetes']
+Scores: [6.351614138111472e-05]
+Labels: ['Cancer']
+Scores: [4.81457136629615e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9364925026893616]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996581673622131]
+Labels: ['Mental Health']
+Scores: [8.232431719079614e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.0213369831908494e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.7202290918212384e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729492
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'United States', 'Nutrition Surveys', 'Bayes Theorem', 'Environmental Exposure', 'Metals', 'Aged', 'Proportional Hazards Models', 'Cause of Death', 'Lead']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.037894245237112045]
+Labels: ['Diabetes']
+Scores: [7.217841630335897e-05]
+Labels: ['Cancer']
+Scores: [9.321590914623812e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.007280924473889e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.975425124168396]
+Labels: ['Mental Health']
+Scores: [5.823372703162022e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.4465257562696934e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.494949800777249e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729424
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Polymorphism, Single Nucleotide', 'Genome-Wide Association Study', 'Male', 'Female', 'Phenotype', 'Norway', 'Genetic Predisposition to Disease', 'Cardiovascular Diseases', 'Phenomics', 'Middle Aged', 'Linkage Disequilibrium', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.980565071105957]
+Labels: ['Diabetes']
+Scores: [0.00034371999208815396]
+Labels: ['Cancer']
+Scores: [0.00035119205131195486]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001489779562689364]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9971210360527039]
+Labels: ['Mental Health']
+Scores: [0.00010449210094520822]
+Labels: ['Diabetes type 1']
+Scores: [0.0030428108293563128]
+Labels: ['Diabetes type 2']
+Scores: [0.0025328004267066717]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727377
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Middle Aged', 'Blood Pressure', 'Renal Dialysis', 'Crystalloid Solutions', 'Osmotic Pressure', 'Aged', 'Kidney Failure, Chronic', 'Cardiovascular Diseases', 'Risk Factors', 'Adult', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5395223498344421]
+Labels: ['Diabetes']
+Scores: [8.388658898184076e-05]
+Labels: ['Cancer']
+Scores: [5.574294118559919e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000420208292780444]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0489216148853302]
+Labels: ['Mental Health']
+Scores: [3.771761112147942e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.988888683030382e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00010426487278891727]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24749092757701874]
+Labels: ['Diabetes']
+Scores: [0.9989524483680725]
+Labels: ['Cancer']
+Scores: [4.90073834953364e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.849825199926272e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9958373308181763]
+Labels: ['Mental Health']
+Scores: [4.6533983550034463e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996798038482666]
+Labels: ['Diabetes type 2']
+Scores: [4.997988071409054e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Glycogen Synthase Kinase 3 beta', 'Cardiovascular Diseases', 'Wnt Signaling Pathway', 'Animals', 'Adipose Tissue', 'beta Catenin', 'Metabolic Syndrome', 'Metabolic Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9563360810279846]
+Labels: ['Diabetes']
+Scores: [0.026278214529156685]
+Labels: ['Cancer']
+Scores: [0.002622914267703891]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002919563848990947]
+Labels: ['Cardiovascular diseases']
+Scores: [0.997941792011261]
+Labels: ['Mental Health']
+Scores: [4.4004435039823875e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0007968106074258685]
+Labels: ['Diabetes type 2']
+Scores: [0.0010089145507663488]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.81949383020401]
+Labels: ['Diabetes']
+Scores: [0.9996404051780701]
+Labels: ['Cancer']
+Scores: [0.00013879234029445797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014371842553373426]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9994320273399353]
+Labels: ['Mental Health']
+Scores: [5.736961975344457e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0009411112987436354]
+Labels: ['Diabetes type 2']
+Scores: [0.0027710399590432644]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725697
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Klotho Proteins', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prospective Studies', 'Adult', 'Nutrition Surveys', 'Aged', 'Cause of Death', 'Depression', 'Proportional Hazards Models', 'Mortality', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9965336322784424]
+Labels: ['Diabetes']
+Scores: [0.00047641652054153383]
+Labels: ['Cancer']
+Scores: [0.000347487919498235]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024119864974636585]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9920001029968262]
+Labels: ['Mental Health']
+Scores: [0.9932799339294434]
+Labels: ['Diabetes type 1']
+Scores: [0.000504925090353936]
+Labels: ['Diabetes type 2']
+Scores: [0.0003833685477729887]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725339
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'beta Catenin', 'Cardiovascular Diseases', 'Receptors, Notch', 'Wnt Signaling Pathway']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3207330107688904]
+Labels: ['Diabetes']
+Scores: [8.768997940933332e-05]
+Labels: ['Cancer']
+Scores: [0.00012704261462204158]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00029106478905305266]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996482729911804]
+Labels: ['Mental Health']
+Scores: [4.4319873268250376e-05]
+Labels: ['Diabetes type 1']
+Scores: [8.826793782645836e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.779213774483651e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724625
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Ukraine', 'Middle Aged', 'Emergency Responders', 'Adult', 'Military Personnel', 'Electrocardiography', 'Radiation Exposure', 'Occupational Exposure', 'Hypertension', 'Echocardiography', 'Cardiovascular System', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9777032732963562]
+Labels: ['Diabetes']
+Scores: [0.00021236874454189092]
+Labels: ['Cancer']
+Scores: [0.00034514424623921514]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003562554717063904]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997830986976624]
+Labels: ['Mental Health']
+Scores: [5.468856397783384e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016430069808848202]
+Labels: ['Diabetes type 2']
+Scores: [0.00018678649212233722]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8361644744873047]
+Labels: ['Diabetes']
+Scores: [7.914638263173401e-05]
+Labels: ['Cancer']
+Scores: [0.014152218587696552]
+Labels: ['Chronic respiratory disease']
+Scores: [7.26026191841811e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011621436569839716]
+Labels: ['Mental Health']
+Scores: [8.839188376441598e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.375805529998615e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.043827983783558e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724119
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mental Disorders', 'Male', 'Adult', 'Female', 'Middle Aged', 'Schizophrenia', 'Mass Screening', 'Healthy Lifestyle', 'Occupational Therapy', 'Cardiovascular Diseases', 'Pilot Projects', 'Risk Factors', 'Physical Therapy Modalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22907690703868866]
+Labels: ['Diabetes']
+Scores: [9.641343785915524e-05]
+Labels: ['Cancer']
+Scores: [7.444274524459615e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.137676534010097e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01302643958479166]
+Labels: ['Mental Health']
+Scores: [0.9997624158859253]
+Labels: ['Diabetes type 1']
+Scores: [8.179556607501581e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.369281567865983e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723980
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Delphi Technique', 'Fatty Liver', 'Mass Screening', 'Metabolic Syndrome', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9384667873382568]
+Labels: ['Diabetes']
+Scores: [0.0009288383298553526]
+Labels: ['Cancer']
+Scores: [0.00010965763794956729]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027409198810346425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997023344039917]
+Labels: ['Mental Health']
+Scores: [5.5777563829906285e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0006799075054004788]
+Labels: ['Diabetes type 2']
+Scores: [0.000638296827673912]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723782
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Risk Factors', 'SARS-CoV-2', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.51244056224823]
+Labels: ['Diabetes']
+Scores: [3.9643029595026746e-05]
+Labels: ['Cancer']
+Scores: [6.3817817135714e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.767606794834137]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9754844307899475]
+Labels: ['Mental Health']
+Scores: [4.849194374401122e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.3806641770061105e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.5422282710205764e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723699
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Female', 'Male', 'Middle Aged', 'Obesity', 'Cohort Studies', 'Cardiovascular Diseases', 'China', 'Body Mass Index', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9198888540267944]
+Labels: ['Diabetes']
+Scores: [0.00011250352690694854]
+Labels: ['Cancer']
+Scores: [0.00017309398390352726]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012296267959754914]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9751858115196228]
+Labels: ['Mental Health']
+Scores: [5.6923225201899186e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.087108365842141e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.803861131425947e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722803
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Testosterone', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Triglycerides', 'Nutrition Surveys', 'Insulin Resistance', 'Cholesterol, HDL', 'Aged', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012689268216490746]
+Labels: ['Diabetes']
+Scores: [0.00030692838481627405]
+Labels: ['Cancer']
+Scores: [5.8931698731612414e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.580267654499039e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06698566675186157]
+Labels: ['Mental Health']
+Scores: [6.589627446373925e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013555011537391692]
+Labels: ['Diabetes type 2']
+Scores: [0.00013723460142500699]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722158
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Comorbidity', 'Kidney Diseases', 'Masked Hypertension', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8197831511497498]
+Labels: ['Diabetes']
+Scores: [7.181638648035005e-05]
+Labels: ['Cancer']
+Scores: [8.827030251268297e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015531522512901574]
+Labels: ['Cardiovascular diseases']
+Scores: [0.987947940826416]
+Labels: ['Mental Health']
+Scores: [8.36113395052962e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.866428157081828e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.0001074446554412134]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721760
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Administration, Inhalation', 'Bronchodilator Agents', 'Cardiovascular Diseases', 'England', 'Adrenal Cortex Hormones', 'Middle Aged', 'Heart Failure', 'Acute Coronary Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.284248411655426]
+Labels: ['Diabetes']
+Scores: [4.654826989280991e-05]
+Labels: ['Cancer']
+Scores: [3.811208443948999e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9994879961013794]
+Labels: ['Cardiovascular diseases']
+Scores: [0.921274721622467]
+Labels: ['Mental Health']
+Scores: [4.3402749724918976e-05]
+Labels: ['Diabetes type 1']
+Scores: [4.08887499361299e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.2294217564631253e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721361
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Sleep Apnea, Obstructive', 'Humans', 'Cardiovascular Diseases', 'China', 'Consensus', 'Risk Factors', 'Delphi Technique', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7113204598426819]
+Labels: ['Diabetes']
+Scores: [9.046804916579276e-05]
+Labels: ['Cancer']
+Scores: [0.00011039626406272873]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9734529852867126]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9995788931846619]
+Labels: ['Mental Health']
+Scores: [0.0012576091103255749]
+Labels: ['Diabetes type 1']
+Scores: [0.00013155234046280384]
+Labels: ['Diabetes type 2']
+Scores: [0.00011480757530080155]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07088932394981384]
+Labels: ['Diabetes']
+Scores: [0.9996510148048401]
+Labels: ['Cancer']
+Scores: [0.000148773193359375]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001924622483784333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.994584321975708]
+Labels: ['Mental Health']
+Scores: [4.7713831008877605e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003084516210947186]
+Labels: ['Diabetes type 2']
+Scores: [0.9995771646499634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719690
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Neoplasms', 'Cardiovascular Diseases', 'Prognosis', 'Risk Factors', 'Antineoplastic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8754499554634094]
+Labels: ['Diabetes']
+Scores: [5.4500793339684606e-05]
+Labels: ['Cancer']
+Scores: [0.11578575521707535]
+Labels: ['Chronic respiratory disease']
+Scores: [7.973325409693643e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.999628484249115]
+Labels: ['Mental Health']
+Scores: [4.304406320443377e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.788823520764709e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.802334974054247e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719674
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Regenerative Medicine', 'Myocytes, Cardiac', 'Carbon', 'Cell Differentiation', 'Animals', 'Quantum Dots', 'Pluripotent Stem Cells', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008068093098700047]
+Labels: ['Diabetes']
+Scores: [8.962176070781425e-05]
+Labels: ['Cancer']
+Scores: [0.00012871965009253472]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021684808598365635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9974772930145264]
+Labels: ['Mental Health']
+Scores: [4.025738962809555e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013051534187979996]
+Labels: ['Diabetes type 2']
+Scores: [0.00012171637354185805]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719571
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Nutrition Surveys', 'Adult', 'United States', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Young Adult', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9994574785232544]
+Labels: ['Diabetes']
+Scores: [0.00027136344579048455]
+Labels: ['Cancer']
+Scores: [0.00037796603282913566]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00036294368328526616]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997435212135315]
+Labels: ['Mental Health']
+Scores: [0.00012966206122655421]
+Labels: ['Diabetes type 1']
+Scores: [0.00020862043311353773]
+Labels: ['Diabetes type 2']
+Scores: [0.00017705727077554911]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719456
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Neoplasms', 'Male', 'Female', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Middle Aged', 'Risk Factors', 'Aged', 'Nutrition Surveys', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.998296320438385]
+Labels: ['Diabetes']
+Scores: [8.891827746992931e-05]
+Labels: ['Cancer']
+Scores: [0.1935032308101654]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00080866803182289]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997697472572327]
+Labels: ['Mental Health']
+Scores: [4.240003909217194e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011000000085914508]
+Labels: ['Diabetes type 2']
+Scores: [0.00010024695075117052]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719431
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asian', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prevalence', 'Adult', 'Aged', 'Sleep', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Cross-Sectional Studies', 'Health Surveys', 'Sleep Duration']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9330472350120544]
+Labels: ['Diabetes']
+Scores: [5.992897422402166e-05]
+Labels: ['Cancer']
+Scores: [4.590639946400188e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.253237708937377e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9993806481361389]
+Labels: ['Mental Health']
+Scores: [0.00013726658653467894]
+Labels: ['Diabetes type 1']
+Scores: [5.553654409595765e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.9570007579168305e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719421
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Assessment', 'Risk Factors', 'Potassium', 'Aged, 80 and over', 'Arrhythmias, Cardiac', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10640308260917664]
+Labels: ['Diabetes']
+Scores: [0.00018125047790817916]
+Labels: ['Cancer']
+Scores: [5.252717892290093e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002272353449370712]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9981993436813354]
+Labels: ['Mental Health']
+Scores: [4.1885232349159196e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.638191942125559e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.948567458195612e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719405
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Adult', 'Nutrition Surveys', 'Chronic Disease', 'United States', 'Cardiovascular Diseases', 'Aged', 'Health Status', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5924095511436462]
+Labels: ['Diabetes']
+Scores: [0.0001521237863926217]
+Labels: ['Cancer']
+Scores: [0.00010009111429098994]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00032768253004178405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9995872378349304]
+Labels: ['Mental Health']
+Scores: [5.742189023294486e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001204188956762664]
+Labels: ['Diabetes type 2']
+Scores: [0.00013769252109341323]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719315
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Neoplasms', 'Male', 'Nephrectomy', 'Female', 'Middle Aged', 'Propensity Score', 'Aged', 'Retrospective Studies', 'Cardiovascular Diseases', 'Risk Factors', 'Carcinoma, Renal Cell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9155734181404114]
+Labels: ['Diabetes']
+Scores: [0.0006731842295266688]
+Labels: ['Cancer']
+Scores: [0.999663233757019]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014870776794850826]
+Labels: ['Cardiovascular diseases']
+Scores: [0.997787594795227]
+Labels: ['Mental Health']
+Scores: [4.520305810729042e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003757787635549903]
+Labels: ['Diabetes type 2']
+Scores: [0.0002182423631893471]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1316634565591812]
+Labels: ['Diabetes']
+Scores: [0.9996278882026672]
+Labels: ['Cancer']
+Scores: [5.201439853408374e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.576852319994941e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0032422123476862907]
+Labels: ['Mental Health']
+Scores: [5.6731736549409106e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0034948457032442093]
+Labels: ['Diabetes type 2']
+Scores: [0.03592367842793465]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9653757810592651]
+Labels: ['Diabetes']
+Scores: [0.9997605085372925]
+Labels: ['Cancer']
+Scores: [0.004652907606214285]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010512131848372519]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7473399043083191]
+Labels: ['Mental Health']
+Scores: [4.6469009248539805e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011839321086881682]
+Labels: ['Diabetes type 2']
+Scores: [0.9995902180671692]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39718412
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Tea', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'China', 'Aged, 80 and over', 'Longitudinal Studies', 'Proportional Hazards Models', 'Longevity', 'Mortality', 'Middle Aged', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9334874153137207]
+Labels: ['Diabetes']
+Scores: [0.0001264588936464861]
+Labels: ['Cancer']
+Scores: [0.00016439198225270957]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006131495349109173]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9815465807914734]
+Labels: ['Mental Health']
+Scores: [0.00015809040633030236]
+Labels: ['Diabetes type 1']
+Scores: [8.58125276863575e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00011761808127630502]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9460607171058655]
+Labels: ['Diabetes']
+Scores: [0.1318180114030838]
+Labels: ['Cancer']
+Scores: [0.00010637746891006827]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027753793983720243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6672545671463013]
+Labels: ['Mental Health']
+Scores: [4.7587727749487385e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0009554771240800619]
+Labels: ['Diabetes type 2']
+Scores: [0.339957058429718]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717783
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Cardiovascular Diseases', 'Heart Disease Risk Factors', 'Periodontitis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9991512298583984]
+Labels: ['Diabetes']
+Scores: [0.0009152233833447099]
+Labels: ['Cancer']
+Scores: [0.0001204158688778989]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003705477574840188]
+Labels: ['Cardiovascular diseases']
+Scores: [0.999204158782959]
+Labels: ['Mental Health']
+Scores: [0.00026853903545998037]
+Labels: ['Diabetes type 1']
+Scores: [0.00022931302373763174]
+Labels: ['Diabetes type 2']
+Scores: [0.0025458731688559055]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717036
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Sweden', 'Middle Aged', 'Female', 'Cardiovascular Diseases', 'Aged', 'Aged, 80 and over', 'Incidence', 'Surveys and Questionnaires', 'Risk Factors', 'Sugar-Sweetened Beverages', 'Diet', 'Dietary Sugars']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9744424819946289]
+Labels: ['Diabetes']
+Scores: [0.004297752398997545]
+Labels: ['Cancer']
+Scores: [0.00013324213796295226]
+Labels: ['Chronic respiratory disease']
+Scores: [9.773632336873561e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9989306926727295]
+Labels: ['Mental Health']
+Scores: [9.442606096854433e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003934388514608145]
+Labels: ['Diabetes type 2']
+Scores: [0.0004781419411301613]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717032
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Obesity', 'Middle Aged', 'Adult', 'Retrospective Studies', 'Neoplasms', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Phenotype', 'Proportional Hazards Models', 'Risk Factors', 'Cause of Death', 'Aged', 'Age Factors', 'Body Mass Index', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9150311350822449]
+Labels: ['Diabetes']
+Scores: [0.0006541185430251062]
+Labels: ['Cancer']
+Scores: [0.07293566316366196]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010915708844549954]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9282625913619995]
+Labels: ['Mental Health']
+Scores: [7.852938870200887e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016780586156528443]
+Labels: ['Diabetes type 2']
+Scores: [0.0001956651103682816]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0735546350479126]
+Labels: ['Diabetes']
+Scores: [0.948689877986908]
+Labels: ['Cancer']
+Scores: [0.00015338949742726982]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00029579931288026273]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9935339093208313]
+Labels: ['Mental Health']
+Scores: [6.342797132674605e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.007303418125957251]
+Labels: ['Diabetes type 2']
+Scores: [0.9930095672607422]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715781
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Prospective Studies', 'Risk Factors', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Fatty Liver', 'Cause of Death', 'Metabolic Diseases', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9985794425010681]
+Labels: ['Diabetes']
+Scores: [0.0006572663551196456]
+Labels: ['Cancer']
+Scores: [0.008923106826841831]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00047261128202080727]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996386170387268]
+Labels: ['Mental Health']
+Scores: [8.947229798650369e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00037890783278271556]
+Labels: ['Diabetes type 2']
+Scores: [0.0003484451153781265]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715477
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Aged', 'Ischemic Attack, Transient', 'Middle Aged', 'Cardiovascular Diseases', 'Netherlands', 'Cohort Studies', 'Risk Factors', 'Aged, 80 and over', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8433690667152405]
+Labels: ['Diabetes']
+Scores: [5.611345113720745e-05]
+Labels: ['Cancer']
+Scores: [4.9373113142792135e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.817916876869276e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9926474690437317]
+Labels: ['Mental Health']
+Scores: [0.0003648721321951598]
+Labels: ['Diabetes type 1']
+Scores: [5.084881922812201e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.992502726963721e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.857628345489502]
+Labels: ['Diabetes']
+Scores: [0.9967126250267029]
+Labels: ['Cancer']
+Scores: [0.00020159427367616445]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012719140795525163]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9911672472953796]
+Labels: ['Mental Health']
+Scores: [0.0001346168719464913]
+Labels: ['Diabetes type 1']
+Scores: [0.9957457184791565]
+Labels: ['Diabetes type 2']
+Scores: [0.0053915479220449924]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39714500
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Potassium', 'Risk Factors', 'Cardiovascular Diseases', 'Electrocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17011143267154694]
+Labels: ['Diabetes']
+Scores: [0.0002590578224044293]
+Labels: ['Cancer']
+Scores: [8.295716543216258e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004545893461909145]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997690320014954]
+Labels: ['Mental Health']
+Scores: [4.698429984273389e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00022111038560979068]
+Labels: ['Diabetes type 2']
+Scores: [0.00022295786766335368]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Patient Care Team', 'Chronic Disease', 'Italy', 'Multimorbidity', 'Telemedicine', 'Cardiology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9994540214538574]
+Labels: ['Diabetes']
+Scores: [0.00013898550241719931]
+Labels: ['Cancer']
+Scores: [0.00016956152103375643]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006545205251313746]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997820854187012]
+Labels: ['Mental Health']
+Scores: [0.00013101207150612026]
+Labels: ['Diabetes type 1']
+Scores: [0.00032305895001627505]
+Labels: ['Diabetes type 2']
+Scores: [0.00034087910898961127]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714021
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Exercise', 'Life Style', 'Metabolic Syndrome', 'Primary Health Care', 'Risk Factors', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4586697220802307]
+Labels: ['Diabetes']
+Scores: [0.05013393610715866]
+Labels: ['Cancer']
+Scores: [5.121309368405491e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.6976878113346174e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8641670346260071]
+Labels: ['Mental Health']
+Scores: [6.126023799879476e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0016625033458694816]
+Labels: ['Diabetes type 2']
+Scores: [0.012255567125976086]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713140
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neoplasms', 'Lipid Peroxidation', 'Reperfusion Injury', 'Cardiovascular Diseases', 'Inflammatory Bowel Diseases', 'Alzheimer Disease', 'Iron', 'Acute Kidney Injury', 'Stroke', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8940541744232178]
+Labels: ['Diabetes']
+Scores: [0.9230570793151855]
+Labels: ['Cancer']
+Scores: [0.9260217547416687]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00019825830531772226]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9768797159194946]
+Labels: ['Mental Health']
+Scores: [0.0001570839958731085]
+Labels: ['Diabetes type 1']
+Scores: [0.0015000429702922702]
+Labels: ['Diabetes type 2']
+Scores: [0.003123990958556533]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39712314
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Incidence', 'Microclimate', 'China', 'Cerebrovascular Disorders', 'Meteorological Concepts', 'Temperature', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9243614077568054]
+Labels: ['Diabetes']
+Scores: [6.833070801803842e-05]
+Labels: ['Cancer']
+Scores: [5.958097244729288e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010550374281592667]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9992874264717102]
+Labels: ['Mental Health']
+Scores: [9.75367147475481e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.397124136332422e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.669168164487928e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39711839
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'South Africa', 'Tertiary Care Centers', 'Retrospective Studies', 'Adult', 'Male', 'Middle Aged', 'Magnetic Resonance Imaging', 'Young Adult', 'Aged', 'Cardiovascular Diseases', 'Adolescent', 'Hospitals, Public', 'Contrast Media', 'Aged, 80 and over', 'Heart Diseases', 'Child', 'Child, Preschool', 'Medical Audit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5872942805290222]
+Labels: ['Diabetes']
+Scores: [8.046432776609436e-05]
+Labels: ['Cancer']
+Scores: [0.00016300265269819647]
+Labels: ['Chronic respiratory disease']
+Scores: [8.138468547258526e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9994237422943115]
+Labels: ['Mental Health']
+Scores: [8.293688733829185e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00010862549970624968]
+Labels: ['Diabetes type 2']
+Scores: [0.00010478806507308036]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710789
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Neovascularization, Pathologic', 'Neoplasms', 'Inflammation', 'Cardiovascular Diseases', 'Animals', 'Neurodegenerative Diseases', 'Angiogenesis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7890102863311768]
+Labels: ['Diabetes']
+Scores: [0.7599456310272217]
+Labels: ['Cancer']
+Scores: [0.9787758588790894]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014369441196322441]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9872806072235107]
+Labels: ['Mental Health']
+Scores: [0.00023861255613155663]
+Labels: ['Diabetes type 1']
+Scores: [0.0029913736507296562]
+Labels: ['Diabetes type 2']
+Scores: [0.006253500934690237]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710702
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neurodegenerative Diseases', 'Cardiovascular Diseases', 'Neoplasms', 'Animals', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.059669215232133865]
+Labels: ['Diabetes']
+Scores: [6.689779547741637e-05]
+Labels: ['Cancer']
+Scores: [0.9989402890205383]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013908771506976336]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9991598725318909]
+Labels: ['Mental Health']
+Scores: [0.0001937032793648541]
+Labels: ['Diabetes type 1']
+Scores: [9.94959264062345e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.00010575963096925989]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710576
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Middle Aged', 'Adult', 'Cross-Over Studies', 'Inflammation', 'Endotoxemia', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Diet', 'Polyphenols', 'Edible Grain', 'Feces', 'Bacteria', 'Fatty Acids, Omega-3', 'Dietary Fiber', 'Intestines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9652252793312073]
+Labels: ['Diabetes']
+Scores: [0.00019367040658835322]
+Labels: ['Cancer']
+Scores: [0.00020565993327181786]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015340032405219972]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9970957636833191]
+Labels: ['Mental Health']
+Scores: [0.0001036339599522762]
+Labels: ['Diabetes type 1']
+Scores: [0.00014836288755759597]
+Labels: ['Diabetes type 2']
+Scores: [0.00018000250565819442]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710465
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypersensitivity', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.991641640663147]
+Labels: ['Diabetes']
+Scores: [0.00010328973439754918]
+Labels: ['Cancer']
+Scores: [0.0001457097241654992]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00417007552459836]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9985693097114563]
+Labels: ['Mental Health']
+Scores: [0.00011638947034953162]
+Labels: ['Diabetes type 1']
+Scores: [8.585865725763142e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.339876512764022e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709856
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'China', 'Middle Aged', 'Ambulances', 'Aged', 'Adult', 'Emergency Medical Dispatch', 'Temperature', 'Incidence', 'Adolescent', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9893097281455994]
+Labels: ['Diabetes']
+Scores: [6.348625174723566e-05]
+Labels: ['Cancer']
+Scores: [4.1042712837224826e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017935609503183514]
+Labels: ['Cardiovascular diseases']
+Scores: [0.999347448348999]
+Labels: ['Mental Health']
+Scores: [5.672165207215585e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.7416316849412397e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.03727816673927e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21962697803974152]
+Labels: ['Diabetes']
+Scores: [0.08640068024396896]
+Labels: ['Cancer']
+Scores: [0.9997676014900208]
+Labels: ['Chronic respiratory disease']
+Scores: [8.723634527996182e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9883837103843689]
+Labels: ['Mental Health']
+Scores: [5.4067131713964045e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.021261323243379593]
+Labels: ['Diabetes type 2']
+Scores: [0.9357412457466125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709650
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Energy Metabolism', 'Lipid Metabolism', 'Signal Transduction', 'Stearic Acids', 'Stearoyl-CoA Desaturase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.061431076377630234]
+Labels: ['Diabetes']
+Scores: [0.38650065660476685]
+Labels: ['Cancer']
+Scores: [0.00010408769594505429]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001447279064450413]
+Labels: ['Cardiovascular diseases']
+Scores: [0.964383065700531]
+Labels: ['Mental Health']
+Scores: [0.00020260711607988924]
+Labels: ['Diabetes type 1']
+Scores: [0.00019202324619982392]
+Labels: ['Diabetes type 2']
+Scores: [0.00024328248400706798]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709627
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Drug Therapy, Combination', 'Hyperlipidemias', 'Hypolipidemic Agents', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cardiovascular Diseases', 'Cholesterol, LDL', 'Animals', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9316272735595703]
+Labels: ['Diabetes']
+Scores: [0.0010545664699748158]
+Labels: ['Cancer']
+Scores: [7.660283154109493e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.704884435748681e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9994664788246155]
+Labels: ['Mental Health']
+Scores: [3.917483991244808e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00023647319176234305]
+Labels: ['Diabetes type 2']
+Scores: [0.0004860978224314749]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709554
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Feces', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Proteomics', 'Middle Aged', 'Heart Failure', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Proteome', 'Bacteria', 'Risk Factors', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8421446084976196]
+Labels: ['Diabetes']
+Scores: [0.00026614274247549474]
+Labels: ['Cancer']
+Scores: [0.0001182447376777418]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007916433387435973]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9995700120925903]
+Labels: ['Mental Health']
+Scores: [5.688993041985668e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00018934776016976684]
+Labels: ['Diabetes type 2']
+Scores: [0.00019928012625314295]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3261229991912842]
+Labels: ['Diabetes']
+Scores: [0.9874447584152222]
+Labels: ['Cancer']
+Scores: [9.224771929439157e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.487354014301673e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9985566139221191]
+Labels: ['Mental Health']
+Scores: [5.467283699545078e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9990354776382446]
+Labels: ['Diabetes type 2']
+Scores: [0.000256046827416867]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8606678247451782]
+Labels: ['Diabetes']
+Scores: [0.9997717142105103]
+Labels: ['Cancer']
+Scores: [4.4729607907356694e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015233602607622743]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9993615746498108]
+Labels: ['Mental Health']
+Scores: [4.282224108465016e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0006276541971601546]
+Labels: ['Diabetes type 2']
+Scores: [0.9997127652168274]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709369
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asthma', 'Male', 'Female', 'Adult', 'Middle Aged', 'Nutrition Surveys', 'Inflammation', 'Cause of Death', 'Cardiovascular Diseases', 'Aged', 'United States', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9437116384506226]
+Labels: ['Diabetes']
+Scores: [3.3156233257614076e-05]
+Labels: ['Cancer']
+Scores: [4.540516238193959e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9957486987113953]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000178212154423818]
+Labels: ['Mental Health']
+Scores: [5.487917587743141e-05]
+Labels: ['Diabetes type 1']
+Scores: [3.699596709338948e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.582153294701129e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709364
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'Postoperative Complications', 'Cardiovascular Diseases', 'Abdomen', 'Risk Assessment', 'Nomograms', 'Retrospective Studies', 'Aged, 80 and over', 'Risk Factors', 'Predictive Value of Tests', 'ROC Curve', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5537787675857544]
+Labels: ['Diabetes']
+Scores: [0.003111718688160181]
+Labels: ['Cancer']
+Scores: [0.00020131796190980822]
+Labels: ['Chronic respiratory disease']
+Scores: [5.811612936668098e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9964786767959595]
+Labels: ['Mental Health']
+Scores: [8.309238182846457e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00044002471258863807]
+Labels: ['Diabetes type 2']
+Scores: [0.0006070442614145577]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Insulin Resistance', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Sex Factors', 'Risk Factors', 'Cause of Death', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8898374438285828]
+Labels: ['Diabetes']
+Scores: [0.9997000694274902]
+Labels: ['Cancer']
+Scores: [0.00010066614049719647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00020650158694479614]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9848198890686035]
+Labels: ['Mental Health']
+Scores: [6.953866977710277e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0975651890039444]
+Labels: ['Diabetes type 2']
+Scores: [0.8735290765762329]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9582189321517944]
+Labels: ['Diabetes']
+Scores: [0.0004735381226055324]
+Labels: ['Cancer']
+Scores: [0.00012853955558966845]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001392704580212012]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9923480153083801]
+Labels: ['Mental Health']
+Scores: [6.434196257032454e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011341577192069963]
+Labels: ['Diabetes type 2']
+Scores: [0.00020531215704977512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708590
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Sleep Apnea, Obstructive', 'Cardiovascular Diseases', 'Quality of Life', 'Heart Disease Risk Factors', 'Sex Factors', 'Risk Factors', 'Prevalence', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9927383661270142]
+Labels: ['Diabetes']
+Scores: [0.003908224869519472]
+Labels: ['Cancer']
+Scores: [0.00014262441254686564]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9499459266662598]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9923439621925354]
+Labels: ['Mental Health']
+Scores: [0.0032088239677250385]
+Labels: ['Diabetes type 1']
+Scores: [0.00016585159755777568]
+Labels: ['Diabetes type 2']
+Scores: [0.00015679190983064473]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708140
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Osteoarthritis', 'Middle Aged', 'Aged', 'Heart Disease Risk Factors', 'Prevalence', 'Hand Joints', 'Comorbidity', 'Cardiovascular Diseases', 'Hand Strength', 'Quality of Life', 'Risk Factors', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5036982893943787]
+Labels: ['Diabetes']
+Scores: [8.55178659548983e-05]
+Labels: ['Cancer']
+Scores: [6.935375859029591e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.446617382811382e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.038357965648174286]
+Labels: ['Mental Health']
+Scores: [6.11618161201477e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.501225678017363e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.186161044752225e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707266
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Vascular Stiffness', 'Breathing Exercises', 'Randomized Controlled Trials as Topic', 'Pulse Wave Analysis', 'Resistance Training', 'Cardiovascular Diseases', 'Exercise', 'Quality of Life', 'Respiratory Muscles', 'Aged', 'Ankle Brachial Index', 'Male', 'Exercise Therapy', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9766534566879272]
+Labels: ['Diabetes']
+Scores: [3.772892523556948e-05]
+Labels: ['Cancer']
+Scores: [4.46189078502357e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9988511204719543]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9988632798194885]
+Labels: ['Mental Health']
+Scores: [5.446164504974149e-05]
+Labels: ['Diabetes type 1']
+Scores: [3.5757344448938966e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.7669746234314516e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.906830370426178]
+Labels: ['Diabetes']
+Scores: [6.738662341376767e-05]
+Labels: ['Cancer']
+Scores: [6.344303983496502e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.357404345180839e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010725466563599184]
+Labels: ['Mental Health']
+Scores: [0.9990289211273193]
+Labels: ['Diabetes type 1']
+Scores: [0.00011706592340487987]
+Labels: ['Diabetes type 2']
+Scores: [0.00011021015961887315]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9298308491706848]
+Labels: ['Diabetes']
+Scores: [4.690570858656429e-05]
+Labels: ['Cancer']
+Scores: [6.541924085468054e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.178317129611969]
+Labels: ['Cardiovascular diseases']
+Scores: [5.276680167298764e-05]
+Labels: ['Mental Health']
+Scores: [0.20561547577381134]
+Labels: ['Diabetes type 1']
+Scores: [9.459675493417308e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.849294732091948e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8961318135261536]
+Labels: ['Diabetes']
+Scores: [5.597065683105029e-05]
+Labels: ['Cancer']
+Scores: [5.564967796090059e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.718548972159624e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.354156696237624e-05]
+Labels: ['Mental Health']
+Scores: [0.997952401638031]
+Labels: ['Diabetes type 1']
+Scores: [0.00013435633445624262]
+Labels: ['Diabetes type 2']
+Scores: [0.00011667929356917739]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9413711428642273]
+Labels: ['Diabetes']
+Scores: [4.8359845095546916e-05]
+Labels: ['Cancer']
+Scores: [6.17581099504605e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013596811913885176]
+Labels: ['Cardiovascular diseases']
+Scores: [7.348226790782064e-05]
+Labels: ['Mental Health']
+Scores: [0.99978107213974]
+Labels: ['Diabetes type 1']
+Scores: [9.375232912134379e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.699635120341554e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9753798246383667]
+Labels: ['Diabetes']
+Scores: [9.875561954686418e-05]
+Labels: ['Cancer']
+Scores: [9.001323633128777e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014813771122135222]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012084520130883902]
+Labels: ['Mental Health']
+Scores: [0.9951716661453247]
+Labels: ['Diabetes type 1']
+Scores: [0.000494499399792403]
+Labels: ['Diabetes type 2']
+Scores: [0.00046532173291780055]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8594332337379456]
+Labels: ['Diabetes']
+Scores: [5.755713937105611e-05]
+Labels: ['Cancer']
+Scores: [6.782873242627829e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9481983780860901]
+Labels: ['Cardiovascular diseases']
+Scores: [7.706946053076535e-05]
+Labels: ['Mental Health']
+Scores: [0.9038518667221069]
+Labels: ['Diabetes type 1']
+Scores: [0.00013432186096906662]
+Labels: ['Diabetes type 2']
+Scores: [0.00012594588042702526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5923753380775452]
+Labels: ['Diabetes']
+Scores: [6.948276131879538e-05]
+Labels: ['Cancer']
+Scores: [6.331526674330235e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06666770577430725]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010021401976700872]
+Labels: ['Mental Health']
+Scores: [0.0907856747508049]
+Labels: ['Diabetes type 1']
+Scores: [0.00021313890465535223]
+Labels: ['Diabetes type 2']
+Scores: [0.00017192435916513205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4365445375442505]
+Labels: ['Diabetes']
+Scores: [5.051171683589928e-05]
+Labels: ['Cancer']
+Scores: [6.199374183779582e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.372825686819851e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.274522456806153e-05]
+Labels: ['Mental Health']
+Scores: [0.9962531924247742]
+Labels: ['Diabetes type 1']
+Scores: [9.897875861497596e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.717188368085772e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39937344193458557]
+Labels: ['Diabetes']
+Scores: [5.5681844969512895e-05]
+Labels: ['Cancer']
+Scores: [6.178605690365657e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010252568608848378]
+Labels: ['Cardiovascular diseases']
+Scores: [7.668662146897987e-05]
+Labels: ['Mental Health']
+Scores: [0.9900721311569214]
+Labels: ['Diabetes type 1']
+Scores: [0.0001136531718657352]
+Labels: ['Diabetes type 2']
+Scores: [0.00010119588114321232]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005407316610217094]
+Labels: ['Diabetes']
+Scores: [4.132280810154043e-05]
+Labels: ['Cancer']
+Scores: [4.101050944882445e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.883954483782873e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.298724888940342e-05]
+Labels: ['Mental Health']
+Scores: [0.9960676431655884]
+Labels: ['Diabetes type 1']
+Scores: [8.998704288387671e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.895589806139469e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8548742532730103]
+Labels: ['Diabetes']
+Scores: [6.120573380030692e-05]
+Labels: ['Cancer']
+Scores: [5.1981078286189586e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05262339487671852]
+Labels: ['Cardiovascular diseases']
+Scores: [8.910540054785088e-05]
+Labels: ['Mental Health']
+Scores: [0.9460713863372803]
+Labels: ['Diabetes type 1']
+Scores: [0.00013257919636089355]
+Labels: ['Diabetes type 2']
+Scores: [0.00011559828271856532]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0031490440014749765]
+Labels: ['Diabetes']
+Scores: [8.109548798529431e-05]
+Labels: ['Cancer']
+Scores: [7.482192449970171e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.673132156720385e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.505890632979572e-05]
+Labels: ['Mental Health']
+Scores: [0.13941575586795807]
+Labels: ['Diabetes type 1']
+Scores: [0.00013979428331367671]
+Labels: ['Diabetes type 2']
+Scores: [0.00012882830924354494]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.804914116859436]
+Labels: ['Diabetes']
+Scores: [0.9997419714927673]
+Labels: ['Cancer']
+Scores: [5.342869917512871e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012844598677475005]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001515680196462199]
+Labels: ['Mental Health']
+Scores: [0.0023550817277282476]
+Labels: ['Diabetes type 1']
+Scores: [0.9997698068618774]
+Labels: ['Diabetes type 2']
+Scores: [6.846724863862619e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.599202036857605]
+Labels: ['Diabetes']
+Scores: [8.265926589956507e-05]
+Labels: ['Cancer']
+Scores: [0.0001484331296524033]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011326122330501676]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017126758757513016]
+Labels: ['Mental Health']
+Scores: [0.8732883930206299]
+Labels: ['Diabetes type 1']
+Scores: [0.00032377507886849344]
+Labels: ['Diabetes type 2']
+Scores: [0.00022831383103039116]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9942834377288818]
+Labels: ['Diabetes']
+Scores: [4.288654599804431e-05]
+Labels: ['Cancer']
+Scores: [4.677088145399466e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16891852021217346]
+Labels: ['Cardiovascular diseases']
+Scores: [5.239494930719957e-05]
+Labels: ['Mental Health']
+Scores: [0.9997706413269043]
+Labels: ['Diabetes type 1']
+Scores: [4.730884757009335e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.412269845488481e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9945163130760193]
+Labels: ['Diabetes']
+Scores: [9.064567711902782e-05]
+Labels: ['Cancer']
+Scores: [8.958065882325172e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.828153659123927e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00025383420870639384]
+Labels: ['Mental Health']
+Scores: [0.9996830224990845]
+Labels: ['Diabetes type 1']
+Scores: [0.00011739022738765925]
+Labels: ['Diabetes type 2']
+Scores: [0.00011175801046192646]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008600981906056404]
+Labels: ['Diabetes']
+Scores: [0.0005962162977084517]
+Labels: ['Cancer']
+Scores: [0.00031031513935886323]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008328192634508014]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007663148571737111]
+Labels: ['Mental Health']
+Scores: [0.9834573268890381]
+Labels: ['Diabetes type 1']
+Scores: [0.0017388861160725355]
+Labels: ['Diabetes type 2']
+Scores: [0.0015240083448588848]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9626603722572327]
+Labels: ['Diabetes']
+Scores: [7.299286517081782e-05]
+Labels: ['Cancer']
+Scores: [7.495367754017934e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015840835112612695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012178023462183774]
+Labels: ['Mental Health']
+Scores: [0.999726414680481]
+Labels: ['Diabetes type 1']
+Scores: [0.00026961162802763283]
+Labels: ['Diabetes type 2']
+Scores: [0.00025499804178252816]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.46908777952194214]
+Labels: ['Diabetes']
+Scores: [4.149608867010102e-05]
+Labels: ['Cancer']
+Scores: [5.021312608732842e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.268304084893316e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.8167345084948465e-05]
+Labels: ['Mental Health']
+Scores: [0.39320075511932373]
+Labels: ['Diabetes type 1']
+Scores: [5.327662074705586e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.7216260756831616e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20174823701381683]
+Labels: ['Diabetes']
+Scores: [4.768544386024587e-05]
+Labels: ['Cancer']
+Scores: [4.996239658794366e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020472649484872818]
+Labels: ['Cardiovascular diseases']
+Scores: [6.16653633187525e-05]
+Labels: ['Mental Health']
+Scores: [0.9834837913513184]
+Labels: ['Diabetes type 1']
+Scores: [7.761811866657808e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.968867819523439e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9949761629104614]
+Labels: ['Diabetes']
+Scores: [0.00020904099801555276]
+Labels: ['Cancer']
+Scores: [0.9996401071548462]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004837115295231342]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008748116088099778]
+Labels: ['Mental Health']
+Scores: [0.8098814487457275]
+Labels: ['Diabetes type 1']
+Scores: [0.00017236723215319216]
+Labels: ['Diabetes type 2']
+Scores: [0.00015917721611913294]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9990278482437134]
+Labels: ['Diabetes']
+Scores: [4.1552470065653324e-05]
+Labels: ['Cancer']
+Scores: [0.0007021535420790315]
+Labels: ['Chronic respiratory disease']
+Scores: [6.975640280870721e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.293731712503359e-05]
+Labels: ['Mental Health']
+Scores: [0.9714307188987732]
+Labels: ['Diabetes type 1']
+Scores: [5.0401427870383486e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.926043038722128e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Mental Health', 'Biomedical Research', 'Delphi Technique', 'Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07003001123666763]
+Labels: ['Diabetes']
+Scores: [3.7191053706919774e-05]
+Labels: ['Cancer']
+Scores: [4.099185753148049e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.717524254578166e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [3.392623330000788e-05]
+Labels: ['Mental Health']
+Scores: [0.999638557434082]
+Labels: ['Diabetes type 1']
+Scores: [0.00010110477887792513]
+Labels: ['Diabetes type 2']
+Scores: [7.158044172683731e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726658
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Exercise', 'Self Report', 'Adolescent', 'Students', 'China', 'Child', 'Schools', 'Mental Health', 'Surveys and Questionnaires', 'Health Surveys', 'Sedentary Behavior', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04906240850687027]
+Labels: ['Diabetes']
+Scores: [9.889150533126667e-05]
+Labels: ['Cancer']
+Scores: [8.29768760013394e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.067764818202704e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.927370799938217e-05]
+Labels: ['Mental Health']
+Scores: [0.08234766125679016]
+Labels: ['Diabetes type 1']
+Scores: [0.0001322894386248663]
+Labels: ['Diabetes type 2']
+Scores: [0.00011287861707387492]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726069
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Substance-Related Disorders', 'Middle Aged', 'Heart Transplantation', 'Heart-Assist Devices', 'Adult', 'Databases, Factual', 'Incidence', 'Mental Health', 'Quality of Life', 'Aged', 'Mental Disorders', 'Waiting Lists', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7130876183509827]
+Labels: ['Diabetes']
+Scores: [0.0001069318677764386]
+Labels: ['Cancer']
+Scores: [0.001320223673246801]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001583558158017695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9995375275611877]
+Labels: ['Mental Health']
+Scores: [0.9896451234817505]
+Labels: ['Diabetes type 1']
+Scores: [9.688907448435202e-05]
+Labels: ['Diabetes type 2']
+Scores: [9.476631385041401e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725888
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Pregnancy', 'Adult', 'Cross-Sectional Studies', 'Pregnancy, Unplanned', 'Parents', 'Mental Health', 'Reproductive Techniques, Assisted', 'Young Adult', 'Stress, Psychological', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7218608260154724]
+Labels: ['Diabetes']
+Scores: [5.929994222242385e-05]
+Labels: ['Cancer']
+Scores: [5.920236435486004e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.29687715950422e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.763364606536925e-05]
+Labels: ['Mental Health']
+Scores: [0.9325802326202393]
+Labels: ['Diabetes type 1']
+Scores: [5.071999112260528e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.760180308949202e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725758
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'Pandemics', 'SARS-CoV-2', 'Japan', 'Male', 'Suicide', 'Female', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.99711012840271]
+Labels: ['Diabetes']
+Scores: [3.6572568205883726e-05]
+Labels: ['Cancer']
+Scores: [5.266114021651447e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008559368550777435]
+Labels: ['Cardiovascular diseases']
+Scores: [4.820153480977751e-05]
+Labels: ['Mental Health']
+Scores: [0.9996725916862488]
+Labels: ['Diabetes type 1']
+Scores: [4.758716022479348e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.520816946751438e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724226
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Germany', 'Cross-Sectional Studies', 'Mental Health', 'Adult', 'Surveys and Questionnaires', 'Young Adult', 'Stress, Psychological', 'Students', 'Occupational Stress', 'Universities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002493153791874647]
+Labels: ['Diabetes']
+Scores: [4.150328823016025e-05]
+Labels: ['Cancer']
+Scores: [4.423968130140565e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.364333290141076e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.768537837662734e-05]
+Labels: ['Mental Health']
+Scores: [0.995659351348877]
+Labels: ['Diabetes type 1']
+Scores: [5.947148019913584e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.810390575788915e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724125
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Stress Disorders, Post-Traumatic', 'Survivors', 'Middle Aged', 'Adult', 'Anxiety', 'Risk Factors', 'Depression', 'Prevalence', 'Aged', 'Comorbidity', 'Sex Factors', 'Sleep Initiation and Maintenance Disorders', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9319571852684021]
+Labels: ['Diabetes']
+Scores: [7.314221147680655e-05]
+Labels: ['Cancer']
+Scores: [0.00010378545266576111]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01268751174211502]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014448446745518595]
+Labels: ['Mental Health']
+Scores: [0.9997720122337341]
+Labels: ['Diabetes type 1']
+Scores: [0.0001183413332910277]
+Labels: ['Diabetes type 2']
+Scores: [0.0001110309167415835]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724115
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Empathy', 'Global Health', 'Mental Health', 'Existentialism', 'Warfare']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9639536738395691]
+Labels: ['Diabetes']
+Scores: [5.0689024646999314e-05]
+Labels: ['Cancer']
+Scores: [5.4342119256034493e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.470671698683873e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.429320248775184e-05]
+Labels: ['Mental Health']
+Scores: [0.9984415173530579]
+Labels: ['Diabetes type 1']
+Scores: [9.14050979190506e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.229637023760006e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724057
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Female', 'Humans', 'Male', 'Young Adult', 'COVID-19', 'Depression', 'East Asian People', 'Mental Health', 'Pandemics', 'Republic of Korea', 'Social Media']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9974232912063599]
+Labels: ['Diabetes']
+Scores: [7.720200665062293e-05]
+Labels: ['Cancer']
+Scores: [6.609206320717931e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9057252407073975]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012911585508845747]
+Labels: ['Mental Health']
+Scores: [0.9996893405914307]
+Labels: ['Diabetes type 1']
+Scores: [0.00015160661132540554]
+Labels: ['Diabetes type 2']
+Scores: [0.00011021886894013733]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39722713
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Child, Preschool', 'Cross-Sectional Studies', 'China', 'Screen Time', 'Surveys and Questionnaires', 'Mental Health', 'Parents', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009005737490952015]
+Labels: ['Diabetes']
+Scores: [7.160563109209761e-05]
+Labels: ['Cancer']
+Scores: [6.004612805554643e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.610804873867892e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.560847006971017e-05]
+Labels: ['Mental Health']
+Scores: [0.9630852341651917]
+Labels: ['Diabetes type 1']
+Scores: [0.00010174934868700802]
+Labels: ['Diabetes type 2']
+Scores: [0.00011067538434872404]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722022
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Loneliness', 'Adolescent', 'Male', 'Female', 'Cross-Sectional Studies', 'Urban Population', 'Young Adult', 'Adult', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9985147714614868]
+Labels: ['Diabetes']
+Scores: [3.9932951040100306e-05]
+Labels: ['Cancer']
+Scores: [3.85873754567001e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.03924524714239e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.731067696819082e-05]
+Labels: ['Mental Health']
+Scores: [0.9992366433143616]
+Labels: ['Diabetes type 1']
+Scores: [7.16494832886383e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.746058352291584e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720811
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Mental Health', 'China', 'Middle Aged', 'Adult', 'Emotions', 'Surveys and Questionnaires', 'Aged', 'Adolescent', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8162261247634888]
+Labels: ['Diabetes']
+Scores: [6.655451579717919e-05]
+Labels: ['Cancer']
+Scores: [5.4610962251899764e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011876708595082164]
+Labels: ['Cardiovascular diseases']
+Scores: [8.833446190692484e-05]
+Labels: ['Mental Health']
+Scores: [0.9987953305244446]
+Labels: ['Diabetes type 1']
+Scores: [0.00019996102491859347]
+Labels: ['Diabetes type 2']
+Scores: [0.00019452681590337306]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719817
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Hospitals, General', 'Psychiatry', 'Mental Health Services', 'Japan', 'Psychiatric Department, Hospital', 'Referral and Consultation', 'Mental Disorders', 'Surveys and Questionnaires', 'Mental Health', 'Psychiatrists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007586731109768152]
+Labels: ['Diabetes']
+Scores: [4.191767220618203e-05]
+Labels: ['Cancer']
+Scores: [4.97860528412275e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.176150079932995e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [3.9271326386369765e-05]
+Labels: ['Mental Health']
+Scores: [0.9876779317855835]
+Labels: ['Diabetes type 1']
+Scores: [6.884604226797819e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.410675268853083e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719755
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Humans', 'Ozone', 'Mental Health', 'Nitrogen Dioxide', 'Male', 'Female', 'Child', 'China', 'Air Pollutants', 'Environmental Exposure', 'Schools', 'Cross-Sectional Studies', 'Air Pollution', 'Students']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0001991370809264481]
+Labels: ['Diabetes']
+Scores: [5.13218947162386e-05]
+Labels: ['Cancer']
+Scores: [5.2058821893297136e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00040249142330139875]
+Labels: ['Cardiovascular diseases']
+Scores: [7.377848669420928e-05]
+Labels: ['Mental Health']
+Scores: [4.091566370334476e-05]
+Labels: ['Diabetes type 1']
+Scores: [9.547549416311085e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.7756580139976e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719653
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Capital', 'Students', 'Social Media', 'Japan', 'Universities', 'Male', 'Female', 'Young Adult', 'Mental Health', 'Adult', 'Loneliness', 'Health Status', 'Personality', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2947602868080139]
+Labels: ['Diabetes']
+Scores: [6.730284803779796e-05]
+Labels: ['Cancer']
+Scores: [6.104647036409006e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.701758709619753e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.194885984063148e-05]
+Labels: ['Mental Health']
+Scores: [0.855539083480835]
+Labels: ['Diabetes type 1']
+Scores: [0.00015904127212706953]
+Labels: ['Diabetes type 2']
+Scores: [0.0001742535678204149]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716066
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Quality of Life', 'Pakistan', 'Myocardial Infarction', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Health Status', 'Risk Factors', 'Mental Health', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9946863651275635]
+Labels: ['Diabetes']
+Scores: [5.458498344523832e-05]
+Labels: ['Cancer']
+Scores: [4.4052383600501344e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.614100417820737e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997563362121582]
+Labels: ['Mental Health']
+Scores: [0.004780580289661884]
+Labels: ['Diabetes type 1']
+Scores: [5.636743298964575e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.581270670518279e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715637
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Biomedical Research', 'Circadian Rhythm', 'Information Dissemination', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0072053950279951096]
+Labels: ['Diabetes']
+Scores: [0.00020039496303070337]
+Labels: ['Cancer']
+Scores: [0.00016248760221060365]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012940495798829943]
+Labels: ['Cardiovascular diseases']
+Scores: [9.648799459682778e-05]
+Labels: ['Mental Health']
+Scores: [0.99934321641922]
+Labels: ['Diabetes type 1']
+Scores: [0.0001863957877503708]
+Labels: ['Diabetes type 2']
+Scores: [0.00015267347043845803]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715235
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Colombia', 'Emigrants and Immigrants', 'Venezuela', 'Female', 'Male', 'United States', 'Child', 'Adult', 'Child Welfare', 'Parents', 'Stress, Psychological', 'Surveys and Questionnaires', 'Adolescent', 'Middle Aged', 'Mental Health', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007436987943947315]
+Labels: ['Diabetes']
+Scores: [7.224336150102317e-05]
+Labels: ['Cancer']
+Scores: [6.140165351098403e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016039854381233454]
+Labels: ['Cardiovascular diseases']
+Scores: [6.488430517492816e-05]
+Labels: ['Mental Health']
+Scores: [0.0018106471979990602]
+Labels: ['Diabetes type 1']
+Scores: [0.00013887764362152666]
+Labels: ['Diabetes type 2']
+Scores: [0.00013138366921339184]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Ukraine', 'Mental Health Services', 'Health Services Accessibility', 'Pandemics', 'Quality of Health Care', 'SARS-CoV-2', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9896504878997803]
+Labels: ['Diabetes']
+Scores: [4.2313517042202875e-05]
+Labels: ['Cancer']
+Scores: [0.00010572801693342626]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9144413471221924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010695451783249155]
+Labels: ['Mental Health']
+Scores: [0.9993018507957458]
+Labels: ['Diabetes type 1']
+Scores: [9.926432539941743e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.857557648094371e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714844
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Aged', 'England', 'Middle Aged', 'Longitudinal Studies', 'Personal Satisfaction', 'Cohort Studies', 'Depression', 'Mental Health', 'Health Status', 'Social Support', 'Health Behavior', 'Cluster Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025395020842552185]
+Labels: ['Diabetes']
+Scores: [5.604235775535926e-05]
+Labels: ['Cancer']
+Scores: [8.016417996259406e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.263827213435434e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.9965066611766815e-05]
+Labels: ['Mental Health']
+Scores: [0.0003396613465156406]
+Labels: ['Diabetes type 1']
+Scores: [8.195628470275551e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.680430280743167e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713741
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Substance-Related Disorders', 'Social Stigma', 'Sexism', 'Mental Health', 'Racism', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9701870083808899]
+Labels: ['Diabetes']
+Scores: [6.835252861492336e-05]
+Labels: ['Cancer']
+Scores: [5.888438317924738e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003171045973431319]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001749193761497736]
+Labels: ['Mental Health']
+Scores: [0.993669867515564]
+Labels: ['Diabetes type 1']
+Scores: [0.00020637000852730125]
+Labels: ['Diabetes type 2']
+Scores: [0.0002034569624811411]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39712316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'China', 'Mental Health', 'Internet Use', 'Middle Aged', 'Residence Characteristics', 'Aged, 80 and over', 'Independent Living', 'Surveys and Questionnaires', 'Internet', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07395882904529572]
+Labels: ['Diabetes']
+Scores: [8.40670763864182e-05]
+Labels: ['Cancer']
+Scores: [8.441942918580025e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.163597133010626e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.190119504230097e-05]
+Labels: ['Mental Health']
+Scores: [0.9750034213066101]
+Labels: ['Diabetes type 1']
+Scores: [0.00021991644462104887]
+Labels: ['Diabetes type 2']
+Scores: [0.0002044669381575659]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712299
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Mental Health', 'Aged', 'Social Environment', 'Female', 'Male', 'Middle Aged', 'Residence Characteristics', 'Surveys and Questionnaires', 'Neighborhood Characteristics', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.934887707233429]
+Labels: ['Diabetes']
+Scores: [0.0001368068769806996]
+Labels: ['Cancer']
+Scores: [0.0001357326254947111]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001809672685340047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022870677639730275]
+Labels: ['Mental Health']
+Scores: [0.9854949116706848]
+Labels: ['Diabetes type 1']
+Scores: [0.0002904648135881871]
+Labels: ['Diabetes type 2']
+Scores: [0.0002566584444139153]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39711409
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Pilots', 'Aerospace Medicine', 'Mental Health', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005720645654946566]
+Labels: ['Diabetes']
+Scores: [4.579166488838382e-05]
+Labels: ['Cancer']
+Scores: [6.856047548353672e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.738670632941648e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010241780546493828]
+Labels: ['Mental Health']
+Scores: [0.9992055892944336]
+Labels: ['Diabetes type 1']
+Scores: [0.00015025025641079992]
+Labels: ['Diabetes type 2']
+Scores: [0.0001365502830594778]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711341
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aerospace Medicine', 'Mental Health', 'Delphi Technique', 'Aviation', 'Research', 'Societies, Medical', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04385489225387573]
+Labels: ['Diabetes']
+Scores: [3.867103805532679e-05]
+Labels: ['Cancer']
+Scores: [4.386006548884325e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.257792407879606e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.687395504442975e-05]
+Labels: ['Mental Health']
+Scores: [0.9975472688674927]
+Labels: ['Diabetes type 1']
+Scores: [8.453436748823151e-05]
+Labels: ['Diabetes type 2']
+Scores: [8.139022975228727e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711028
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Refugees', 'Syria', 'Psychological Distress', 'Female', 'Jordan', 'Male', 'Follow-Up Studies', 'Child', 'Single-Blind Method', 'Stress Disorders, Post-Traumatic', 'Depression', 'Stress, Psychological', 'Behavior Therapy', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2323891818523407]
+Labels: ['Diabetes']
+Scores: [3.792162169702351e-05]
+Labels: ['Cancer']
+Scores: [4.888576586381532e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.137035648454912e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.4586755393538624e-05]
+Labels: ['Mental Health']
+Scores: [0.9989731311798096]
+Labels: ['Diabetes type 1']
+Scores: [5.717908788938075e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.8109031670028344e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710807
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Cross-Sectional Studies', 'Female', 'Adult', 'Male', 'Workplace Violence', 'Burnout, Professional', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Nursing Staff, Hospital', 'Taiwan']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5030709505081177]
+Labels: ['Diabetes']
+Scores: [0.0001207728564622812]
+Labels: ['Cancer']
+Scores: [0.00011955805530305952]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014109165931586176]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017424719408154488]
+Labels: ['Mental Health']
+Scores: [0.9990724921226501]
+Labels: ['Diabetes type 1']
+Scores: [0.0001882081851363182]
+Labels: ['Diabetes type 2']
+Scores: [0.00016136043996084481]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Quality of Life', 'Romania', 'Male', 'Female', 'Prospective Studies', 'Tuberculosis, Multidrug-Resistant', 'Middle Aged', 'Adult', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Surveys and Questionnaires', 'Aged', 'Cohort Studies', 'Longitudinal Studies', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.957817792892456]
+Labels: ['Diabetes']
+Scores: [9.167543612420559e-05]
+Labels: ['Cancer']
+Scores: [8.743656508158892e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9888048768043518]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019739409617614]
+Labels: ['Mental Health']
+Scores: [0.02343248389661312]
+Labels: ['Diabetes type 1']
+Scores: [0.00017344208026770502]
+Labels: ['Diabetes type 2']
+Scores: [0.0001741456799209118]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710684
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Ontario', 'Pregnancy', 'Retrospective Studies', 'Adult', 'Social Class', 'Pregnancy Complications', 'Anxiety', 'Depression', 'Young Adult', 'Residence Characteristics', 'Mental Health', 'Cohort Studies', 'Educational Status', 'Mental Disorders', 'Income']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.97514808177948]
+Labels: ['Diabetes']
+Scores: [5.994817547616549e-05]
+Labels: ['Cancer']
+Scores: [7.006822852417827e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.214556924533099e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.547921657329425e-05]
+Labels: ['Mental Health']
+Scores: [0.9877240657806396]
+Labels: ['Diabetes type 1']
+Scores: [0.00015168648678809404]
+Labels: ['Diabetes type 2']
+Scores: [0.00013285641034599394]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710634
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'United Kingdom', 'Adult', 'Cross-Sectional Studies', 'Mental Health', 'Domestic Violence', 'Middle Aged', 'Social Support', 'Resilience, Psychological', 'Pandemics', 'Young Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9708706140518188]
+Labels: ['Diabetes']
+Scores: [4.018880281364545e-05]
+Labels: ['Cancer']
+Scores: [6.280028901528567e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.920243501663208]
+Labels: ['Cardiovascular diseases']
+Scores: [5.154978862265125e-05]
+Labels: ['Mental Health']
+Scores: [0.9987600445747375]
+Labels: ['Diabetes type 1']
+Scores: [0.00012372677156236023]
+Labels: ['Diabetes type 2']
+Scores: [0.00010200046381214634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710627
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Literacy', 'Adolescent', 'Anxiety', 'Depression', 'Mental Health', 'Health Education']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9650376439094543]
+Labels: ['Diabetes']
+Scores: [9.21025057323277e-05]
+Labels: ['Cancer']
+Scores: [8.723427163204178e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.469688716810197e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.575707033742219e-05]
+Labels: ['Mental Health']
+Scores: [0.9996643662452698]
+Labels: ['Diabetes type 1']
+Scores: [0.00017641697195358574]
+Labels: ['Diabetes type 2']
+Scores: [0.0001310839143116027]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710497
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'China', 'Aged', 'Risk Factors', 'Middle Aged', 'Depression', 'Longitudinal Studies', 'Health Status', 'Mental Health', 'Aged, 80 and over', 'Rural Population', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999360203742981]
+Labels: ['Diabetes']
+Scores: [3.51458256773185e-05]
+Labels: ['Cancer']
+Scores: [3.600414493121207e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.669165329891257e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.582880061818287e-05]
+Labels: ['Mental Health']
+Scores: [0.9997195601463318]
+Labels: ['Diabetes type 1']
+Scores: [5.322436481947079e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.4087133321445435e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710338
+Predictions: ['Cancer', 'Mental Health']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Adolescent', 'Young Adult', 'Female', 'Male', 'Internet-Based Intervention', 'Mindfulness', 'Adult', 'Emotional Regulation', 'Quality of Life', 'Mental Health', 'Depression', 'Neoplasms', 'Research Design', 'Adaptation, Psychological', 'Digital Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.994441568851471]
+Labels: ['Diabetes']
+Scores: [0.00010447506792843342]
+Labels: ['Cancer']
+Scores: [0.9996989369392395]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010729103087214753]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00030173888080753386]
+Labels: ['Mental Health']
+Scores: [0.9980679154396057]
+Labels: ['Diabetes type 1']
+Scores: [0.000178064830834046]
+Labels: ['Diabetes type 2']
+Scores: [0.00017094782378990203]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Mental Health']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709458
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Child', 'Humans', 'Adaptation, Psychological', 'Child Behavior', 'Mental Disorders', 'Mental Health', 'Multicenter Studies as Topic', 'Norway', 'Parents', 'Pragmatic Clinical Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9521987438201904]
+Labels: ['Diabetes']
+Scores: [3.4620337828528136e-05]
+Labels: ['Cancer']
+Scores: [3.800311606028117e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.5958313674200326e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.36676709796302e-05]
+Labels: ['Mental Health']
+Scores: [0.9991097450256348]
+Labels: ['Diabetes type 1']
+Scores: [4.09274289268069e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.162052573519759e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709340
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Mental Health', 'Research Design', 'Outcome Assessment, Health Care', 'Mental Disorders', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25749894976615906]
+Labels: ['Diabetes']
+Scores: [4.2171253880951554e-05]
+Labels: ['Cancer']
+Scores: [5.8709025324787945e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.8995781728299335e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.336328806355596e-05]
+Labels: ['Mental Health']
+Scores: [0.9968104362487793]
+Labels: ['Diabetes type 1']
+Scores: [0.0001403030619258061]
+Labels: ['Diabetes type 2']
+Scores: [0.00012268721184227616]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709337
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sufentanil', 'Male', 'Cough', 'Female', 'Ketamine', 'Middle Aged', 'Prospective Studies', 'Adult', 'Anesthesia, General', 'Anesthetics, Intravenous', 'Mental Health', 'Double-Blind Method']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.245846226811409]
+Labels: ['Diabetes']
+Scores: [4.5971100917086005e-05]
+Labels: ['Cancer']
+Scores: [0.00022753495431970805]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011965367011725903]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021590478718280792]
+Labels: ['Mental Health']
+Scores: [0.05032503977417946]
+Labels: ['Diabetes type 1']
+Scores: [7.631196058355272e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.066348916850984e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709183
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Health Promotion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0019586507696658373]
+Labels: ['Diabetes']
+Scores: [5.2460673032328486e-05]
+Labels: ['Cancer']
+Scores: [0.00012687034904956818]
+Labels: ['Chronic respiratory disease']
+Scores: [8.987950423033908e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.2781215597642586e-05]
+Labels: ['Mental Health']
+Scores: [0.12012556195259094]
+Labels: ['Diabetes type 1']
+Scores: [0.0003296963404864073]
+Labels: ['Diabetes type 2']
+Scores: [0.00024125486379489303]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709182
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'United States', "Women's Health", 'Racial Groups', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023682458326220512]
+Labels: ['Diabetes']
+Scores: [5.743010115111247e-05]
+Labels: ['Cancer']
+Scores: [0.00016767425404395908]
+Labels: ['Chronic respiratory disease']
+Scores: [6.706490239594132e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.326159250922501e-05]
+Labels: ['Mental Health']
+Scores: [0.9891643524169922]
+Labels: ['Diabetes type 1']
+Scores: [0.00010797117283800617]
+Labels: ['Diabetes type 2']
+Scores: [0.00012219783093314618]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708948
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Asthma', 'Metals, Heavy', 'Male', 'Adult', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Republic of Korea', 'Mental Health', 'Suicidal Ideation', 'Environmental Exposure', 'Air Pollutants', 'Young Adult', 'Depression', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.955693781375885]
+Labels: ['Diabetes']
+Scores: [4.4028525735484436e-05]
+Labels: ['Cancer']
+Scores: [7.66981829656288e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9966903924942017]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019901228370144963]
+Labels: ['Mental Health']
+Scores: [0.36807334423065186]
+Labels: ['Diabetes type 1']
+Scores: [3.8740894524380565e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.965694850194268e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707472
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'General Practitioners', 'Self Care', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Burnout, Professional', 'Surveys and Questionnaires', 'Mental Health', 'Anxiety', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05442998558282852]
+Labels: ['Diabetes']
+Scores: [5.4368611017707735e-05]
+Labels: ['Cancer']
+Scores: [6.117707380326465e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00022763294691685587]
+Labels: ['Cardiovascular diseases']
+Scores: [6.327241862891242e-05]
+Labels: ['Mental Health']
+Scores: [0.029314735904335976]
+Labels: ['Diabetes type 1']
+Scores: [0.00015744984557386488]
+Labels: ['Diabetes type 2']
+Scores: [0.0001280045253224671]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706574
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Pregnancy', 'Perinatal Care', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0033449402544647455]
+Labels: ['Diabetes']
+Scores: [8.019454253371805e-05]
+Labels: ['Cancer']
+Scores: [0.00021915555407758802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013535360631067306]
+Labels: ['Cardiovascular diseases']
+Scores: [5.926805533817969e-05]
+Labels: ['Mental Health']
+Scores: [0.145334392786026]
+Labels: ['Diabetes type 1']
+Scores: [0.0005444787675514817]
+Labels: ['Diabetes type 2']
+Scores: [0.0004329241637606174]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706486
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Binge Drinking', 'Male', 'Middle Aged', 'Spain', 'Longitudinal Studies', 'Health Behavior', 'Mental Health', 'Health Status', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9980246424674988]
+Labels: ['Diabetes']
+Scores: [9.628247789805755e-05]
+Labels: ['Cancer']
+Scores: [0.00013355664850678295]
+Labels: ['Chronic respiratory disease']
+Scores: [7.897747127572075e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013862007472198457]
+Labels: ['Mental Health']
+Scores: [0.0590972937643528]
+Labels: ['Diabetes type 1']
+Scores: [0.00016861181939020753]
+Labels: ['Diabetes type 2']
+Scores: [0.00017427789862267673]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706485
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Support', 'Male', 'Female', 'Longitudinal Studies', 'Adult', 'Stress, Psychological', 'Middle Aged', 'Depressive Disorder, Major', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Young Adult', 'Aged', 'Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9572763442993164]
+Labels: ['Diabetes']
+Scores: [6.604921509278938e-05]
+Labels: ['Cancer']
+Scores: [7.792923133820295e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.909336661919951e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.005547715583816e-05]
+Labels: ['Mental Health']
+Scores: [0.9989814758300781]
+Labels: ['Diabetes type 1']
+Scores: [0.0001666259195189923]
+Labels: ['Diabetes type 2']
+Scores: [0.0001490442082285881]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706484
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Ukraine', 'Armed Conflicts', 'Refugees']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.34157055616378784]
+Labels: ['Diabetes']
+Scores: [3.2162231946131214e-05]
+Labels: ['Cancer']
+Scores: [3.401831054361537e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.3620744690997526e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [3.9109036151785403e-05]
+Labels: ['Mental Health']
+Scores: [0.9960496425628662]
+Labels: ['Diabetes type 1']
+Scores: [5.232137118582614e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.7667512262705714e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39705174
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Humans', 'Male', 'Young Adult', 'Adaptation, Psychological', 'Black or African American', 'HIV Infections', 'Interviews as Topic', 'Mental Health', 'Qualitative Research', 'Sexual and Gender Minorities', 'Social Stigma']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9983522295951843]
+Labels: ['Diabetes']
+Scores: [6.972668779781088e-05]
+Labels: ['Cancer']
+Scores: [8.757432806305587e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003557933960109949]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001259283599210903]
+Labels: ['Mental Health']
+Scores: [0.9993338584899902]
+Labels: ['Diabetes type 1']
+Scores: [0.0001396503357682377]
+Labels: ['Diabetes type 2']
+Scores: [0.00013361523451749235]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704003
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Diagnostic and Statistical Manual of Mental Disorders', 'International Classification of Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.125441312789917]
+Labels: ['Diabetes']
+Scores: [0.00011115978850284591]
+Labels: ['Cancer']
+Scores: [0.0002281867346027866]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002545877068769187]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00024856877280399203]
+Labels: ['Mental Health']
+Scores: [0.9997745752334595]
+Labels: ['Diabetes type 1']
+Scores: [0.00028943136567249894]
+Labels: ['Diabetes type 2']
+Scores: [0.0002606851630844176]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703482
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Adolescent', 'Mental Health', 'Reproductive Health', 'Sexual Behavior', 'Sexual Health', 'Menstruation', 'Health Knowledge, Attitudes, Practice']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04596888646483421]
+Labels: ['Diabetes']
+Scores: [8.252725820057094e-05]
+Labels: ['Cancer']
+Scores: [0.00011779036140069366]
+Labels: ['Chronic respiratory disease']
+Scores: [4.771712337969802e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.5481734559871256e-05]
+Labels: ['Mental Health']
+Scores: [0.0246663149446249]
+Labels: ['Diabetes type 1']
+Scores: [0.00011680484749376774]
+Labels: ['Diabetes type 2']
+Scores: [0.00010431062401039526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703180
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Qualitative Research', 'Male', 'Female', 'Pharmacists', 'Adult', 'England', 'Middle Aged', 'Focus Groups', 'Mental Health', 'Community Pharmacy Services', 'Depression', 'Interviews as Topic', 'Professional Role', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6566912531852722]
+Labels: ['Diabetes']
+Scores: [4.901131251244806e-05]
+Labels: ['Cancer']
+Scores: [5.607536877505481e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.393740866566077e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.055982860038057e-05]
+Labels: ['Mental Health']
+Scores: [0.9985616207122803]
+Labels: ['Diabetes type 1']
+Scores: [6.26490218564868e-05]
+Labels: ['Diabetes type 2']
+Scores: [5.715611041523516e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Lebanon', 'Primary Health Care', 'Social Stigma', 'Qualitative Research', 'Mental Disorders', 'Male', 'Female', 'Attitude of Health Personnel', 'Health Personnel', 'Adult', 'Interviews as Topic', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8613834381103516]
+Labels: ['Diabetes']
+Scores: [6.405981548596174e-05]
+Labels: ['Cancer']
+Scores: [6.864147871965542e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010725844913395122]
+Labels: ['Cardiovascular diseases']
+Scores: [6.400647544069216e-05]
+Labels: ['Mental Health']
+Scores: [0.9993751049041748]
+Labels: ['Diabetes type 1']
+Scores: [0.00019401316239964217]
+Labels: ['Diabetes type 2']
+Scores: [0.00015467603225260973]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39701588
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'COVID-19', 'Mental Health', 'Female', 'Male', 'Mental Health Services', 'United States', 'Child', 'Emotions', 'Telemedicine', 'Social Skills', 'School Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0524710938334465]
+Labels: ['Diabetes']
+Scores: [4.236703898641281e-05]
+Labels: ['Cancer']
+Scores: [3.6071109207114205e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.5669392673298717e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [3.667610508273356e-05]
+Labels: ['Mental Health']
+Scores: [0.9892399907112122]
+Labels: ['Diabetes type 1']
+Scores: [8.906020957510918e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.431457586586475e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Machine Learning', 'Mental Health', 'Adult', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002727617509663105]
+Labels: ['Diabetes']
+Scores: [9.694529580883682e-05]
+Labels: ['Cancer']
+Scores: [7.678826659685001e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016806622443255037]
+Labels: ['Cardiovascular diseases']
+Scores: [6.940912862773985e-05]
+Labels: ['Mental Health']
+Scores: [0.9994941353797913]
+Labels: ['Diabetes type 1']
+Scores: [0.000260322296526283]
+Labels: ['Diabetes type 2']
+Scores: [0.00020357005996629596]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700155
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Mental Health', 'United Kingdom', 'Adolescent', 'Young Adult', 'Loneliness', 'Adult', 'Sex Factors', 'Pandemics', 'SARS-CoV-2', 'Longitudinal Studies', 'Aged', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9966840744018555]
+Labels: ['Diabetes']
+Scores: [3.814238516497426e-05]
+Labels: ['Cancer']
+Scores: [4.9852194933919236e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9595648050308228]
+Labels: ['Cardiovascular diseases']
+Scores: [4.019715925096534e-05]
+Labels: ['Mental Health']
+Scores: [0.9996961951255798]
+Labels: ['Diabetes type 1']
+Scores: [4.5234446588438004e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.167605220573023e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39699982
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Italy', 'Prospective Studies', 'COVID-19', 'Internship and Residency', 'Male', 'Female', 'Adult', 'Depression', 'Anxiety', 'Mental Health', 'Stress Disorders, Post-Traumatic', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6355241537094116]
+Labels: ['Diabetes']
+Scores: [6.818242400186136e-05]
+Labels: ['Cancer']
+Scores: [9.622974175726995e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.987457840703428e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.828508387319744e-05]
+Labels: ['Mental Health']
+Scores: [0.9818674325942993]
+Labels: ['Diabetes type 1']
+Scores: [0.00013635028153657913]
+Labels: ['Diabetes type 2']
+Scores: [0.00011647630162769929]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699544
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Chikungunya Fever', 'Arthralgia', 'Middle Aged', 'Adult', 'Chronic Disease', 'Mental Health', 'Cross-Sectional Studies', 'Depression', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9578171372413635]
+Labels: ['Diabetes']
+Scores: [0.00010491563443792984]
+Labels: ['Cancer']
+Scores: [0.0006474931142292917]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025256823748350143]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018165531218983233]
+Labels: ['Mental Health']
+Scores: [0.2948283851146698]
+Labels: ['Diabetes type 1']
+Scores: [0.00014456934877671301]
+Labels: ['Diabetes type 2']
+Scores: [0.00012402102584019303]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699441
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Brazil', 'Transgender Persons', 'Health Services Accessibility', 'Male', 'Female', 'Primary Health Care', 'National Health Programs', 'Interviews as Topic', 'Health Personnel', 'Health Services for Transgender Persons', 'Qualitative Research', 'Adult', 'Health Policy', 'Mental Health', 'Transsexualism', 'Young Adult', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8505384922027588]
+Labels: ['Diabetes']
+Scores: [4.369526504888199e-05]
+Labels: ['Cancer']
+Scores: [5.273797796689905e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.266671698540449e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.815534677822143e-05]
+Labels: ['Mental Health']
+Scores: [0.00030421640258282423]
+Labels: ['Diabetes type 1']
+Scores: [7.135125633794814e-05]
+Labels: ['Diabetes type 2']
+Scores: [7.06605933373794e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699366
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Mental Health', 'Health Promotion', 'Occupational Health', 'Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7874721884727478]
+Labels: ['Diabetes']
+Scores: [5.997985863359645e-05]
+Labels: ['Cancer']
+Scores: [0.000788693898357451]
+Labels: ['Chronic respiratory disease']
+Scores: [7.86234304541722e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012526271166279912]
+Labels: ['Mental Health']
+Scores: [0.9956120848655701]
+Labels: ['Diabetes type 1']
+Scores: [0.0001306051854044199]
+Labels: ['Diabetes type 2']
+Scores: [0.00011631862435024232]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697298
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Female', 'Humans', 'Male', 'China', 'COVID-19', 'East Asian People', 'Mental Disorders', 'Mental Health', 'Risk Factors', 'Students', 'Suicidal Ideation', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9880030751228333]
+Labels: ['Diabetes']
+Scores: [5.244485873845406e-05]
+Labels: ['Cancer']
+Scores: [0.00011005048145307228]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010393403470516205]
+Labels: ['Cardiovascular diseases']
+Scores: [8.678117592353374e-05]
+Labels: ['Mental Health']
+Scores: [0.9994834065437317]
+Labels: ['Diabetes type 1']
+Scores: [0.00012199136835988611]
+Labels: ['Diabetes type 2']
+Scores: [9.682035306468606e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697006
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Services Accessibility', 'Health Literacy', 'Mexico', 'Female', 'Male', 'Adolescent', 'Child', 'Adult', 'Surveys and Questionnaires', 'Parents', 'Mental Health', 'Middle Aged', 'Health Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9750468730926514]
+Labels: ['Diabetes']
+Scores: [0.00033285602694377303]
+Labels: ['Cancer']
+Scores: [0.00045418727677315474]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000516437110491097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019024108769372106]
+Labels: ['Mental Health']
+Scores: [0.6837866306304932]
+Labels: ['Diabetes type 1']
+Scores: [0.0006132660200819373]
+Labels: ['Diabetes type 2']
+Scores: [0.0005050593754276633]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696336
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Intimate Partner Violence', 'Female', 'Sex Offenses', 'Canada', 'Male', 'Transgender Persons', 'Surveys and Questionnaires', 'Crime Victims', 'Research', 'Stakeholder Participation', 'Mental Health', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04312627762556076]
+Labels: ['Diabetes']
+Scores: [5.627005884889513e-05]
+Labels: ['Cancer']
+Scores: [7.367086072918028e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.52588312025182e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.224801134318113e-05]
+Labels: ['Mental Health']
+Scores: [0.0009676366462372243]
+Labels: ['Diabetes type 1']
+Scores: [0.00010722786100814119]
+Labels: ['Diabetes type 2']
+Scores: [0.00010353291145293042]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696264
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Ownership', 'Housing', 'Behavioral Risk Factor Surveillance System', 'Aged', 'United States', 'Mental Health', 'Prevalence', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8426727056503296]
+Labels: ['Diabetes']
+Scores: [5.059272370999679e-05]
+Labels: ['Cancer']
+Scores: [5.8297238865634426e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.200957432156429e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.114558345871046e-05]
+Labels: ['Mental Health']
+Scores: [0.998255729675293]
+Labels: ['Diabetes type 1']
+Scores: [0.00010940009815385565]
+Labels: ['Diabetes type 2']
+Scores: [0.00010274357919115573]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696245
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sudan', 'Cross-Sectional Studies', 'Child', 'Female', 'Adolescent', 'Male', 'Refugees', 'Mental Health', 'Surveys and Questionnaires', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9628345966339111]
+Labels: ['Diabetes']
+Scores: [4.1641531424829736e-05]
+Labels: ['Cancer']
+Scores: [5.415939085651189e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.640933861490339e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.657384074060246e-05]
+Labels: ['Mental Health']
+Scores: [0.9959935545921326]
+Labels: ['Diabetes type 1']
+Scores: [0.00010397871665190905]
+Labels: ['Diabetes type 2']
+Scores: [0.00010058774932986125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696093
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Students', 'Universities', 'United Kingdom', 'Young Adult', 'Exercise', 'Cohort Studies', 'Life Style', 'Ethnicity', 'COVID-19', 'Health Behavior', 'Sex Factors', 'Adult', 'Adolescent', 'Body Mass Index', 'Diet', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9854209423065186]
+Labels: ['Diabetes']
+Scores: [0.00010266597382724285]
+Labels: ['Cancer']
+Scores: [0.00011188143253093585]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012364952999632806]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019015235011465847]
+Labels: ['Mental Health']
+Scores: [0.0012657307088375092]
+Labels: ['Diabetes type 1']
+Scores: [0.0003400145214982331]
+Labels: ['Diabetes type 2']
+Scores: [0.00034318139660172164]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695709
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Patient Selection', 'Mental Disorders', 'Mental Health', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007703869137912989]
+Labels: ['Diabetes']
+Scores: [4.951243681716733e-05]
+Labels: ['Cancer']
+Scores: [8.69695286382921e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017353214207105339]
+Labels: ['Cardiovascular diseases']
+Scores: [5.5590480769751593e-05]
+Labels: ['Mental Health']
+Scores: [0.9997515082359314]
+Labels: ['Diabetes type 1']
+Scores: [0.0001263557787751779]
+Labels: ['Diabetes type 2']
+Scores: [9.948165097739547e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695633
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Adverse Childhood Experiences', 'Female', 'England', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Criminal Law', 'Health Status', 'Surveys and Questionnaires', 'Aged', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9926558136940002]
+Labels: ['Diabetes']
+Scores: [6.683365791104734e-05]
+Labels: ['Cancer']
+Scores: [6.515190762002021e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.3154522902332246e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.283276499947533e-05]
+Labels: ['Mental Health']
+Scores: [0.03181888908147812]
+Labels: ['Diabetes type 1']
+Scores: [0.00011473797349026427]
+Labels: ['Diabetes type 2']
+Scores: [9.527880320092663e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Video Games', 'Universities', 'Mental Health', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12273324280977249]
+Labels: ['Diabetes']
+Scores: [4.393700874061324e-05]
+Labels: ['Cancer']
+Scores: [4.454578083823435e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.8743484765291214e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.049876224598847e-05]
+Labels: ['Mental Health']
+Scores: [0.975551962852478]
+Labels: ['Diabetes type 1']
+Scores: [0.00010234971705358475]
+Labels: ['Diabetes type 2']
+Scores: [0.00010402120824437588]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695547
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Military Personnel', 'Female', 'Male', 'Cross-Sectional Studies', 'China', 'Adult', 'Stress Disorders, Post-Traumatic', 'COVID-19', 'Sleep Initiation and Maintenance Disorders', 'Prevalence', 'Young Adult', 'Depression', 'Anxiety', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Adolescent', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9373438358306885]
+Labels: ['Diabetes']
+Scores: [8.150736539391801e-05]
+Labels: ['Cancer']
+Scores: [0.0001449103729100898]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017081356782000512]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001554092887090519]
+Labels: ['Mental Health']
+Scores: [0.9982087016105652]
+Labels: ['Diabetes type 1']
+Scores: [0.00040118093602359295]
+Labels: ['Diabetes type 2']
+Scores: [0.0003835800744127482]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695533
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Belgium', 'Male', 'Female', 'Multimorbidity', 'Middle Aged', 'Adult', 'Aged', 'Health Surveys', 'Mental Disorders', 'Quality of Life', 'Young Adult', 'Mental Health', 'Adolescent', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9696187973022461]
+Labels: ['Diabetes']
+Scores: [0.00023885269183665514]
+Labels: ['Cancer']
+Scores: [0.0004254555969964713]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010929216659860685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017285991634707898]
+Labels: ['Mental Health']
+Scores: [0.8708633780479431]
+Labels: ['Diabetes type 1']
+Scores: [0.0009196814498864114]
+Labels: ['Diabetes type 2']
+Scores: [0.0007315648254007101]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695518
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Military Personnel', 'Male', 'Social Support', 'Adult', 'Personal Satisfaction', 'Female', 'Mental Health', 'Depression', 'Longitudinal Studies', 'Young Adult', 'Surveys and Questionnaires', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9663413763046265]
+Labels: ['Diabetes']
+Scores: [5.2389899792615324e-05]
+Labels: ['Cancer']
+Scores: [6.0495760408230126e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.561294867424294e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.669216963928193e-05]
+Labels: ['Mental Health']
+Scores: [0.9855777025222778]
+Labels: ['Diabetes type 1']
+Scores: [0.00015426415484398603]
+Labels: ['Diabetes type 2']
+Scores: [0.0001374604762531817]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.999452531337738]
+Labels: ['Diabetes']
+Scores: [0.0001948616118170321]
+Labels: ['Cancer']
+Scores: [0.001308285165578127]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004578361986204982]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1589575707912445]
+Labels: ['Mental Health']
+Scores: [0.0810834988951683]
+Labels: ['Diabetes type 1']
+Scores: [0.0002497124078217894]
+Labels: ['Diabetes type 2']
+Scores: [0.0002553293888922781]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695274
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Female', 'Male', 'Young Adult', 'Depression', 'Universities', 'China', 'Surveys and Questionnaires', 'Mental Health', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029231920838356018]
+Labels: ['Diabetes']
+Scores: [5.102444265503436e-05]
+Labels: ['Cancer']
+Scores: [4.778493530466221e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.347474795300514e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.645008059218526e-05]
+Labels: ['Mental Health']
+Scores: [0.3994329273700714]
+Labels: ['Diabetes type 1']
+Scores: [0.00010943994857370853]
+Labels: ['Diabetes type 2']
+Scores: [0.0001066547556547448]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693620
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mobile Applications', 'Adult', 'Mental Health', 'Health Behavior', 'Life Style', 'Exercise', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004330670926719904]
+Labels: ['Diabetes']
+Scores: [5.0005317461909726e-05]
+Labels: ['Cancer']
+Scores: [4.94313208037056e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.702181831817143e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.852875256096013e-05]
+Labels: ['Mental Health']
+Scores: [0.9950994849205017]
+Labels: ['Diabetes type 1']
+Scores: [0.00012404200970195234]
+Labels: ['Diabetes type 2']
+Scores: [0.00011082923447247595]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693599
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Adult', 'Middle Aged', 'Mental Health', 'Mental Disorders', 'Aged', 'Schizophrenia', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9890670776367188]
+Labels: ['Diabetes']
+Scores: [0.0001494490570621565]
+Labels: ['Cancer']
+Scores: [0.00015174562577158213]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022877076640725136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00025242898846045136]
+Labels: ['Mental Health']
+Scores: [0.999578595161438]
+Labels: ['Diabetes type 1']
+Scores: [0.00024669282720424235]
+Labels: ['Diabetes type 2']
+Scores: [0.0002807091223075986]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39691047
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Burnout, Professional', 'Mental Health', 'Organizational Culture', 'Leadership', 'Health Personnel', 'Job Satisfaction', 'Ontario']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.26877161860466003]
+Labels: ['Diabetes']
+Scores: [4.556910789688118e-05]
+Labels: ['Cancer']
+Scores: [4.539652218227275e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.14422390551772e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.6590375606901944e-05]
+Labels: ['Mental Health']
+Scores: [0.9985456466674805]
+Labels: ['Diabetes type 1']
+Scores: [7.404541975120082e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.594727892661467e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691046
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Canada', 'Mental Health', 'Occupational Health', 'Workplace', 'Health Personnel', 'Organizational Culture', 'Surveys and Questionnaires', 'Patient Safety', 'Safety Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006563590839505196]
+Labels: ['Diabetes']
+Scores: [8.389142749365419e-05]
+Labels: ['Cancer']
+Scores: [0.0001125080234487541]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015878885460551828]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001163136912509799]
+Labels: ['Mental Health']
+Scores: [0.05469422787427902]
+Labels: ['Diabetes type 1']
+Scores: [0.0002578988205641508]
+Labels: ['Diabetes type 2']
+Scores: [0.00021514020045287907]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691045
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Health Personnel', 'Mental Health', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014304000651463866]
+Labels: ['Diabetes']
+Scores: [3.248115535825491e-05]
+Labels: ['Cancer']
+Scores: [3.266304702265188e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.2758496672613546e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [3.304528217995539e-05]
+Labels: ['Mental Health']
+Scores: [0.9937896132469177]
+Labels: ['Diabetes type 1']
+Scores: [3.685667252284475e-05]
+Labels: ['Diabetes type 2']
+Scores: [3.5432334698271006e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690437
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'South Australia', 'Housing', 'Male', 'Female', 'Adult', 'Middle Aged', 'Food Security', 'Health Status', 'Mental Health', 'Health Surveys', 'Socioeconomic Factors', 'Adolescent', 'Food Insecurity', 'Aged', 'Chronic Disease', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10265087336301804]
+Labels: ['Diabetes']
+Scores: [5.528892870643176e-05]
+Labels: ['Cancer']
+Scores: [5.678848538082093e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.272762013599277e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.826283788541332e-05]
+Labels: ['Mental Health']
+Scores: [6.878114072605968e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00014765300147701055]
+Labels: ['Diabetes type 2']
+Scores: [0.00014976448437664658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690123
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Adolescent Development', 'Young Adult', 'Adult', 'Child', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014312837738543749]
+Labels: ['Diabetes']
+Scores: [6.441220466513187e-05]
+Labels: ['Cancer']
+Scores: [5.79740408284124e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.581310248700902e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.334108911687508e-05]
+Labels: ['Mental Health']
+Scores: [0.9951231479644775]
+Labels: ['Diabetes type 1']
+Scores: [0.00011879073281306773]
+Labels: ['Diabetes type 2']
+Scores: [0.00011179376451764256]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mexico', 'Adolescent', 'Male', 'Female', 'Racism', 'Mental Disorders', 'Qualitative Research', 'Mental Health', 'Mental Health Services', 'Young Adult', 'Interviews as Topic', 'Health Services Accessibility', 'Urban Population', 'Urban Health', 'Indigenous Peoples', 'Patient Acceptance of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20439369976520538]
+Labels: ['Diabetes']
+Scores: [6.38614728813991e-05]
+Labels: ['Cancer']
+Scores: [7.314465619856492e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017679455049801618]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011076150985900313]
+Labels: ['Mental Health']
+Scores: [0.9922353625297546]
+Labels: ['Diabetes type 1']
+Scores: [0.00015966258069965988]
+Labels: ['Diabetes type 2']
+Scores: [0.0001465832319809124]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9802780747413635]
+Labels: ['Diabetes']
+Scores: [0.9989657402038574]
+Labels: ['Cancer']
+Scores: [6.617967301281169e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012823428551200777]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002741572097875178]
+Labels: ['Mental Health']
+Scores: [6.355384539347142e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9610505700111389]
+Labels: ['Diabetes type 2']
+Scores: [9.4928516773507e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0347040556371212]
+Labels: ['Diabetes']
+Scores: [0.9981383681297302]
+Labels: ['Cancer']
+Scores: [0.0002989190397784114]
+Labels: ['Chronic respiratory disease']
+Scores: [8.693432027939707e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012981997861061245]
+Labels: ['Mental Health']
+Scores: [4.377897494123317e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9995582699775696]
+Labels: ['Diabetes type 2']
+Scores: [0.001741883927024901]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02845354937016964]
+Labels: ['Diabetes']
+Scores: [0.9887579679489136]
+Labels: ['Cancer']
+Scores: [3.656695116660558e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.749396273633465e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.6947970733745024e-05]
+Labels: ['Mental Health']
+Scores: [9.132285049417987e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996238350868225]
+Labels: ['Diabetes type 2']
+Scores: [4.8345322284149006e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5782480239868164]
+Labels: ['Diabetes']
+Scores: [0.9991713762283325]
+Labels: ['Cancer']
+Scores: [0.00014286201621871442]
+Labels: ['Chronic respiratory disease']
+Scores: [4.167855513514951e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007192404591478407]
+Labels: ['Mental Health']
+Scores: [4.057267142343335e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9787558317184448]
+Labels: ['Diabetes type 2']
+Scores: [0.29336896538734436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0527069978415966]
+Labels: ['Diabetes']
+Scores: [0.9997323751449585]
+Labels: ['Cancer']
+Scores: [0.0013934295857325196]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014741637278348207]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002644537016749382]
+Labels: ['Mental Health']
+Scores: [6.923189357621595e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997626543045044]
+Labels: ['Diabetes type 2']
+Scores: [0.0008079347899183631]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733989
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Hypoglycemia', 'Male', 'Adult', 'Female', 'Blood Glucose', 'Hyperglycemia', 'Exercise', 'Child', 'Young Adult', 'Cohort Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Time Factors', 'Insulin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.044541776180267334]
+Labels: ['Diabetes']
+Scores: [0.999819278717041]
+Labels: ['Cancer']
+Scores: [4.4518303184304386e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.489572115242481e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.165658073266968e-05]
+Labels: ['Mental Health']
+Scores: [5.586422048509121e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997380375862122]
+Labels: ['Diabetes type 2']
+Scores: [6.5110762079712e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8574098348617554]
+Labels: ['Diabetes']
+Scores: [0.9996114373207092]
+Labels: ['Cancer']
+Scores: [0.00011167198681505397]
+Labels: ['Chronic respiratory disease']
+Scores: [6.518602458527312e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004105797037482262]
+Labels: ['Mental Health']
+Scores: [6.439282151404768e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996322393417358]
+Labels: ['Diabetes type 2']
+Scores: [0.012468894012272358]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33965688943862915]
+Labels: ['Diabetes']
+Scores: [0.9997486472129822]
+Labels: ['Cancer']
+Scores: [6.359725375659764e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.1090926717733964e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001474348537158221]
+Labels: ['Mental Health']
+Scores: [0.00010638285311870277]
+Labels: ['Diabetes type 1']
+Scores: [0.9995899200439453]
+Labels: ['Diabetes type 2']
+Scores: [0.0002448709565214813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.804914116859436]
+Labels: ['Diabetes']
+Scores: [0.9997419714927673]
+Labels: ['Cancer']
+Scores: [5.342869917512871e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012844598677475005]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001515680196462199]
+Labels: ['Mental Health']
+Scores: [0.0023550817277282476]
+Labels: ['Diabetes type 1']
+Scores: [0.9997698068618774]
+Labels: ['Diabetes type 2']
+Scores: [6.846724863862619e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9853920936584473]
+Labels: ['Diabetes']
+Scores: [0.9994879364967346]
+Labels: ['Cancer']
+Scores: [0.00011590547364903614]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014644322800450027]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00045248717651702464]
+Labels: ['Mental Health']
+Scores: [0.9824254512786865]
+Labels: ['Diabetes type 1']
+Scores: [0.9997051358222961]
+Labels: ['Diabetes type 2']
+Scores: [7.998348155524582e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Mental Health', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9858570694923401]
+Labels: ['Diabetes']
+Scores: [0.9995335936546326]
+Labels: ['Cancer']
+Scores: [0.00010974791803164408]
+Labels: ['Chronic respiratory disease']
+Scores: [7.398825255222619e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005762942600995302]
+Labels: ['Mental Health']
+Scores: [5.954349035164341e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996213912963867]
+Labels: ['Diabetes type 2']
+Scores: [0.00011610342335188761]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9888947606086731]
+Labels: ['Diabetes']
+Scores: [0.9985973834991455]
+Labels: ['Cancer']
+Scores: [6.473924440797418e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018596943118609488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002392041264101863]
+Labels: ['Mental Health']
+Scores: [4.717875344795175e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9994269609451294]
+Labels: ['Diabetes type 2']
+Scores: [8.089496986940503e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9512166380882263]
+Labels: ['Diabetes']
+Scores: [0.9995977878570557]
+Labels: ['Cancer']
+Scores: [0.00018476440163794905]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011484101560199633]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008270997554063797]
+Labels: ['Mental Health']
+Scores: [4.6399647544603795e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996141195297241]
+Labels: ['Diabetes type 2']
+Scores: [0.00019109362619929016]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24749092757701874]
+Labels: ['Diabetes']
+Scores: [0.9989524483680725]
+Labels: ['Cancer']
+Scores: [4.90073834953364e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.849825199926272e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9958373308181763]
+Labels: ['Mental Health']
+Scores: [4.6533983550034463e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996798038482666]
+Labels: ['Diabetes type 2']
+Scores: [4.997988071409054e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17632228136062622]
+Labels: ['Diabetes']
+Scores: [0.9983258247375488]
+Labels: ['Cancer']
+Scores: [0.4909062683582306]
+Labels: ['Chronic respiratory disease']
+Scores: [9.841953578870744e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006182085489854217]
+Labels: ['Mental Health']
+Scores: [4.8111243813764304e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0010859064059332013]
+Labels: ['Diabetes type 2']
+Scores: [0.001996472245082259]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07060924917459488]
+Labels: ['Diabetes']
+Scores: [0.01304425485432148]
+Labels: ['Cancer']
+Scores: [0.0002603989851195365]
+Labels: ['Chronic respiratory disease']
+Scores: [4.482757140067406e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.352727021090686e-05]
+Labels: ['Mental Health']
+Scores: [3.563913196558133e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.03614392504096031]
+Labels: ['Diabetes type 2']
+Scores: [0.00017368170665577054]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03084758296608925]
+Labels: ['Diabetes']
+Scores: [0.9989596605300903]
+Labels: ['Cancer']
+Scores: [0.0001331196544924751]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00036945875035598874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016290337953250855]
+Labels: ['Mental Health']
+Scores: [6.117547309258953e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.999098002910614]
+Labels: ['Diabetes type 2']
+Scores: [0.00014851675950922072]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9619349241256714]
+Labels: ['Diabetes']
+Scores: [0.9994415640830994]
+Labels: ['Cancer']
+Scores: [3.3904521842487156e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.53619455685839e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006454118993133307]
+Labels: ['Mental Health']
+Scores: [4.2668521928135306e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.17654447257518768]
+Labels: ['Diabetes type 2']
+Scores: [0.9200870394706726]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01370376255363226]
+Labels: ['Diabetes']
+Scores: [0.9919439554214478]
+Labels: ['Cancer']
+Scores: [0.00024004191800486296]
+Labels: ['Chronic respiratory disease']
+Scores: [4.4729993533110246e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014937741798348725]
+Labels: ['Mental Health']
+Scores: [5.6401699112029746e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.010411347262561321]
+Labels: ['Diabetes type 2']
+Scores: [0.010548162274062634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01677532121539116]
+Labels: ['Diabetes']
+Scores: [0.9983415603637695]
+Labels: ['Cancer']
+Scores: [0.00010405862121842802]
+Labels: ['Chronic respiratory disease']
+Scores: [9.545563079882413e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004035678575746715]
+Labels: ['Mental Health']
+Scores: [6.159004260553047e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996735453605652]
+Labels: ['Diabetes type 2']
+Scores: [9.338196832686663e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9202425479888916]
+Labels: ['Diabetes']
+Scores: [0.9998464584350586]
+Labels: ['Cancer']
+Scores: [4.4467280531534925e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.90121780987829e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.900067379930988e-05]
+Labels: ['Mental Health']
+Scores: [5.4179588914848864e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9998130798339844]
+Labels: ['Diabetes type 2']
+Scores: [6.12661024206318e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9921892881393433]
+Labels: ['Diabetes']
+Scores: [0.0940038412809372]
+Labels: ['Cancer']
+Scores: [3.850790744763799e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.9715621571522206e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019208256155252457]
+Labels: ['Mental Health']
+Scores: [0.0003098828892689198]
+Labels: ['Diabetes type 1']
+Scores: [0.002497250447049737]
+Labels: ['Diabetes type 2']
+Scores: [0.051675211638212204]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715178
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Telemedicine', 'Child', 'Quality of Life', 'Rural Population', 'Child, Preschool', 'Parents', 'Mentoring', 'Occupational Therapy', 'Double-Blind Method', 'Pilot Projects', 'Glycated Hemoglobin', 'Self Efficacy', 'Adult', 'Parenting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9704843163490295]
+Labels: ['Diabetes']
+Scores: [0.997725248336792]
+Labels: ['Cancer']
+Scores: [7.200097752502188e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017973530339077115]
+Labels: ['Cardiovascular diseases']
+Scores: [7.016071322141215e-05]
+Labels: ['Mental Health']
+Scores: [0.00023412522568833083]
+Labels: ['Diabetes type 1']
+Scores: [0.9997561573982239]
+Labels: ['Diabetes type 2']
+Scores: [8.794464520178735e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714936
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Aged', 'Male', 'Insulin Infusion Systems', 'Insulin', 'Cross-Over Studies', 'Aged, 80 and over', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Glycated Hemoglobin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.949066698551178]
+Labels: ['Diabetes']
+Scores: [0.9998531341552734]
+Labels: ['Cancer']
+Scores: [4.136388815823011e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.242178591899574e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.156718831742182e-05]
+Labels: ['Mental Health']
+Scores: [4.153543704887852e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.999828577041626]
+Labels: ['Diabetes type 2']
+Scores: [6.21381332166493e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710861
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Cross-Sectional Studies', 'Child', 'Lipase', 'India', 'Amylases', 'Biomarkers', 'Young Adult', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Prognosis', 'Adult', 'Exocrine Pancreatic Insufficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7730079889297485]
+Labels: ['Diabetes']
+Scores: [0.29892945289611816]
+Labels: ['Cancer']
+Scores: [5.0799259042833e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015429385530296713]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014634658582508564]
+Labels: ['Mental Health']
+Scores: [8.410042937612161e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9984631538391113]
+Labels: ['Diabetes type 2']
+Scores: [6.743914855178446e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3261229991912842]
+Labels: ['Diabetes']
+Scores: [0.9874447584152222]
+Labels: ['Cancer']
+Scores: [9.224771929439157e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.487354014301673e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9985566139221191]
+Labels: ['Mental Health']
+Scores: [5.467283699545078e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9990354776382446]
+Labels: ['Diabetes type 2']
+Scores: [0.000256046827416867]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708266
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats', 'Muscle, Skeletal', 'Drugs, Chinese Herbal', 'Insulin-Secreting Cells', 'Male', 'Adipose Tissue', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9204186201095581]
+Labels: ['Diabetes']
+Scores: [0.9969209432601929]
+Labels: ['Cancer']
+Scores: [9.024031896842644e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000844463414978236]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011118752881884575]
+Labels: ['Mental Health']
+Scores: [4.1174273064825684e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9991682171821594]
+Labels: ['Diabetes type 2']
+Scores: [0.00011698369053192437]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707866
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Pilot Projects', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Middle Aged', 'Cognitive Dysfunction', 'Adult', 'Early Diagnosis', 'Aged', 'Retina', 'Visual Field Tests', 'Diabetic Retinopathy', 'Fixation, Ocular', 'Neuropsychological Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9321810603141785]
+Labels: ['Diabetes']
+Scores: [0.99973464012146]
+Labels: ['Cancer']
+Scores: [5.277470336295664e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.318935240618885e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001660124253248796]
+Labels: ['Mental Health']
+Scores: [0.0002157264098059386]
+Labels: ['Diabetes type 1']
+Scores: [0.9996839761734009]
+Labels: ['Diabetes type 2']
+Scores: [9.905865590553731e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707182
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Female', 'Child', 'Metabolomics', 'Adolescent', 'Metabolome', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Biomarkers', 'Metabolic Networks and Pathways', 'Machine Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9410574436187744]
+Labels: ['Diabetes']
+Scores: [0.9992867708206177]
+Labels: ['Cancer']
+Scores: [6.172504799906164e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.98090040916577e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04734992980957031]
+Labels: ['Mental Health']
+Scores: [4.9873688112711534e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9091978073120117]
+Labels: ['Diabetes type 2']
+Scores: [0.006805917713791132]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706675
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Retrospective Studies', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1', 'Blood Glucose', 'Hypoglycemic Agents', 'Risk Factors', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2963024973869324]
+Labels: ['Diabetes']
+Scores: [0.9997702836990356]
+Labels: ['Cancer']
+Scores: [3.909525548806414e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011956493835896254]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006606638198718429]
+Labels: ['Mental Health']
+Scores: [6.194741581566632e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00023154033988248557]
+Labels: ['Diabetes type 2']
+Scores: [0.9994481205940247]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706641
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats, Wistar', 'Diabetic Neuropathies', 'NF-kappa B', 'Male', 'Diabetes Mellitus, Experimental', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 1', 'Streptozocin', 'Gabapentin', 'Glycation End Products, Advanced', 'Signal Transduction', 'Rats', 'Oxidative Stress', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00638584466651082]
+Labels: ['Diabetes']
+Scores: [0.9120427370071411]
+Labels: ['Cancer']
+Scores: [9.717696957523003e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.442941179964691e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000328575522871688]
+Labels: ['Mental Health']
+Scores: [6.737026706105098e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9970398545265198]
+Labels: ['Diabetes type 2']
+Scores: [0.0007459360058419406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706517
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Magnetic Resonance Imaging', 'Adult', 'Neuralgia', 'Diabetic Neuropathies', 'Middle Aged', 'Brain', 'Cerebral Cortex']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9888730645179749]
+Labels: ['Diabetes']
+Scores: [0.9998155832290649]
+Labels: ['Cancer']
+Scores: [8.952143980422989e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.881599645363167e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011939894466195256]
+Labels: ['Mental Health']
+Scores: [0.00789239164441824]
+Labels: ['Diabetes type 1']
+Scores: [0.9998340010643005]
+Labels: ['Diabetes type 2']
+Scores: [0.00026256463024765253]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39704278
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cytokines', 'Diabetes Mellitus, Type 1', 'Child', 'Chemokines', 'Adolescent', 'Sex Factors', 'Disease Progression', 'Child, Preschool', 'Intercellular Signaling Peptides and Proteins', 'Pilot Projects', 'Biomarkers', 'Sex Characteristics', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7945194244384766]
+Labels: ['Diabetes']
+Scores: [0.9907127022743225]
+Labels: ['Cancer']
+Scores: [0.0001883898803498596]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00026479357620701194]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003510319220367819]
+Labels: ['Mental Health']
+Scores: [5.712649362976663e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9994973540306091]
+Labels: ['Diabetes type 2']
+Scores: [0.00015378462558146566]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39704171
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 1', 'Mice', 'Interleukin-2', 'Disease Models, Animal', 'Interleukin-2 Receptor alpha Subunit', 'Interleukin-1 Receptor-Like 1 Protein', 'Interleukin-33', 'Mice, Inbred NOD', 'Female', 'Signal Transduction', 'CD8-Positive T-Lymphocytes', 'Islets of Langerhans', 'Th1 Cells', 'Interleukin-10', 'Autoimmunity', 'Recombinant Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04429829493165016]
+Labels: ['Diabetes']
+Scores: [0.9983342885971069]
+Labels: ['Cancer']
+Scores: [0.0001364909840049222]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011383728997316211]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001285216276301071]
+Labels: ['Mental Health']
+Scores: [4.853945574723184e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9988322257995605]
+Labels: ['Diabetes type 2']
+Scores: [0.0001852187851909548]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704022
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Bioengineering', 'Animals', 'Genomics', 'Insulin-Secreting Cells', 'Proteomics', 'Insulin', 'Islets of Langerhans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08094196766614914]
+Labels: ['Diabetes']
+Scores: [0.9996088147163391]
+Labels: ['Cancer']
+Scores: [0.00010255067172693089]
+Labels: ['Chronic respiratory disease']
+Scores: [7.48806050978601e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.631187327206135e-05]
+Labels: ['Mental Health']
+Scores: [4.225085285725072e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9998147487640381]
+Labels: ['Diabetes type 2']
+Scores: [5.158398562343791e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703896
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Receptors, Calcitriol', 'South Africa', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Black People', 'Adult', 'Case-Control Studies', 'Vitamin D', 'Genotype', 'Young Adult', 'Polymorphism, Restriction Fragment Length', 'Polymorphism, Single Nucleotide', 'Genetic Predisposition to Disease', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9894458055496216]
+Labels: ['Diabetes']
+Scores: [0.9964593648910522]
+Labels: ['Cancer']
+Scores: [0.00024799388484098017]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018032442312687635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019320236751809716]
+Labels: ['Mental Health']
+Scores: [7.079636998241767e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996117949485779]
+Labels: ['Diabetes type 2']
+Scores: [0.002216427819803357]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39703609
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'SARS-CoV-2', 'Acute Kidney Injury', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5748555660247803]
+Labels: ['Diabetes']
+Scores: [0.9649429321289062]
+Labels: ['Cancer']
+Scores: [0.00022915832232683897]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010472221300005913]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006207901169545949]
+Labels: ['Mental Health']
+Scores: [0.000355638621840626]
+Labels: ['Diabetes type 1']
+Scores: [0.9926342964172363]
+Labels: ['Diabetes type 2']
+Scores: [0.9796098470687866]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39702941
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Dendritic Cells', 'Humans', 'Macrophages', 'Immune Tolerance', 'Receptors, Cytoplasmic and Nuclear', 'Mitochondria', 'Male', 'Female', 'Phenotype']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006845101248472929]
+Labels: ['Diabetes']
+Scores: [0.9993330836296082]
+Labels: ['Cancer']
+Scores: [4.621619882527739e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008160529541783035]
+Labels: ['Cardiovascular diseases']
+Scores: [8.660649473313242e-05]
+Labels: ['Mental Health']
+Scores: [4.461310527403839e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9995371699333191]
+Labels: ['Diabetes type 2']
+Scores: [0.0002882533590309322]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39701114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diabetic Ketoacidosis', 'Adolescent', 'Female', 'Male', 'Child', 'Hypoglycemia', 'Young Adult', 'Insulin', 'Hypoglycemic Agents', 'Insulin Infusion Systems', 'Child, Preschool', 'Blood Glucose', 'Prospective Studies', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9813846945762634]
+Labels: ['Diabetes']
+Scores: [0.9996180534362793]
+Labels: ['Cancer']
+Scores: [4.2172203393420205e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.861663470976055e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00039200863102450967]
+Labels: ['Mental Health']
+Scores: [3.635096436482854e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997215270996094]
+Labels: ['Diabetes type 2']
+Scores: [7.893722067819908e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39699995
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Adult', 'Female', 'Male', 'Insulin', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Hypoglycemic Agents', 'Retrospective Studies', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002343143103644252]
+Labels: ['Diabetes']
+Scores: [0.9998420476913452]
+Labels: ['Cancer']
+Scores: [3.6498178815236315e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.474270826904103e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [4.888908006250858e-05]
+Labels: ['Mental Health']
+Scores: [3.9840673707658425e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997222423553467]
+Labels: ['Diabetes type 2']
+Scores: [8.1575897638686e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697323
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'MicroRNAs', 'Insulin-Secreting Cells', 'Enterovirus B, Human', 'Coxsackievirus Infections', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Insulin', 'Trophoblasts']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011422633193433285]
+Labels: ['Diabetes']
+Scores: [0.5007650852203369]
+Labels: ['Cancer']
+Scores: [0.0002584442845545709]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007727174088358879]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007032926077954471]
+Labels: ['Mental Health']
+Scores: [5.193212564336136e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9965425729751587]
+Labels: ['Diabetes type 2']
+Scores: [0.00035037429188378155]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696373
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.061882104724645615]
+Labels: ['Diabetes']
+Scores: [0.9958292841911316]
+Labels: ['Cancer']
+Scores: [7.346821075771004e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.304711471078917e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017243807087652385]
+Labels: ['Mental Health']
+Scores: [9.95559967122972e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996511936187744]
+Labels: ['Diabetes type 2']
+Scores: [0.000413555622799322]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696094
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Sirolimus', 'Genetic Diseases, X-Linked', 'Diarrhea', 'Immunosuppressive Agents', 'Forkhead Transcription Factors', 'Immune System Diseases', 'Infant', 'Mutation', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8695529103279114]
+Labels: ['Diabetes']
+Scores: [0.0001115571431000717]
+Labels: ['Cancer']
+Scores: [0.00019617730868048966]
+Labels: ['Chronic respiratory disease']
+Scores: [9.399765986017883e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003458517021499574]
+Labels: ['Mental Health']
+Scores: [0.0001720744330668822]
+Labels: ['Diabetes type 1']
+Scores: [0.00039263858343474567]
+Labels: ['Diabetes type 2']
+Scores: [0.00021840952103957534]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39692076
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Histamine', 'Female', 'Adult', 'Hot Temperature', 'Middle Aged', 'Diabetic Neuropathies', 'Axons', 'Neural Conduction', 'Reflex', 'Sural Nerve', 'Young Adult', 'ROC Curve', 'Neurologic Examination']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9629970788955688]
+Labels: ['Diabetes']
+Scores: [0.9996652007102966]
+Labels: ['Cancer']
+Scores: [5.2740138926310465e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0023296428844332695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020139852131251246]
+Labels: ['Mental Health']
+Scores: [9.487354691373184e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997617602348328]
+Labels: ['Diabetes type 2']
+Scores: [6.304162525339052e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39691822
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'New Zealand', 'Cross-Sectional Studies', 'Adolescent', 'Child', 'Diabetes Mellitus, Type 1', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Prevalence', 'Child, Preschool', 'Adult', 'Glycated Hemoglobin', 'Primary Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3989567756652832]
+Labels: ['Diabetes']
+Scores: [0.99847012758255]
+Labels: ['Cancer']
+Scores: [4.772980173584074e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00036790576996281743]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000622992985881865]
+Labels: ['Mental Health']
+Scores: [6.945448694750667e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00038217517430894077]
+Labels: ['Diabetes type 2']
+Scores: [0.0021100747399032116]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39689816
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Female', 'Middle Aged', 'Depression', 'Adult', 'Glycated Hemoglobin', 'Prevalence', 'Sex Factors', 'Surveys and Questionnaires', 'Self-Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8974520564079285]
+Labels: ['Diabetes']
+Scores: [0.9997091889381409]
+Labels: ['Cancer']
+Scores: [7.710864156251773e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00023156979295890778]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012830097693949938]
+Labels: ['Mental Health']
+Scores: [0.040681663900613785]
+Labels: ['Diabetes type 1']
+Scores: [0.9997133612632751]
+Labels: ['Diabetes type 2']
+Scores: [0.00010537214984651655]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39689633
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Parents', 'Qualitative Research', 'Child', 'Adolescent', 'Child, Preschool', 'Interviews as Topic', 'Infant', 'Hospitalization', 'Adult', 'Self Care', 'Self-Management', 'Perception', 'Social Support']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.979485034942627]
+Labels: ['Diabetes']
+Scores: [0.9993676543235779]
+Labels: ['Cancer']
+Scores: [5.7409077271586284e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010417538578622043]
+Labels: ['Cardiovascular diseases']
+Scores: [8.169454667950049e-05]
+Labels: ['Mental Health']
+Scores: [0.0001230043126270175]
+Labels: ['Diabetes type 1']
+Scores: [0.999791145324707]
+Labels: ['Diabetes type 2']
+Scores: [5.102506838738918e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39688288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Male', 'Adult', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 1', 'Medically Underserved Area', 'California', 'Florida']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03925079107284546]
+Labels: ['Diabetes']
+Scores: [0.999836802482605]
+Labels: ['Cancer']
+Scores: [4.392188566271216e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.439512359676883e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001025165111059323]
+Labels: ['Mental Health']
+Scores: [5.0505379476817325e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00683068111538887]
+Labels: ['Diabetes type 2']
+Scores: [0.9855696558952332]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686350
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Female', 'Spectroscopy, Near-Infrared', 'Blood Glucose', 'Male', 'Middle Aged', 'Prospective Studies', 'Diabetes Mellitus, Type 2', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0026655239053070545]
+Labels: ['Diabetes']
+Scores: [0.006031523458659649]
+Labels: ['Cancer']
+Scores: [3.909654333256185e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.3753265597624704e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003061012248508632]
+Labels: ['Mental Health']
+Scores: [4.38106399087701e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00020321768533904105]
+Labels: ['Diabetes type 2']
+Scores: [0.00030418336973525584]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39686207
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Neural Networks, Computer', 'Blood Glucose', 'Internet of Things', 'Deep Learning', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Forecasting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14129607379436493]
+Labels: ['Diabetes']
+Scores: [0.9994606375694275]
+Labels: ['Cancer']
+Scores: [6.866720650577918e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017344183288514614]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004938128404319286]
+Labels: ['Mental Health']
+Scores: [4.7464138333452865e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9991416335105896]
+Labels: ['Diabetes type 2']
+Scores: [0.00012027099000988528]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683492
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Isomaltose', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Middle Aged', 'Cross-Over Studies', 'Adult', 'Exercise', 'Insulin', 'Blood Glucose', 'Insulin Infusion Systems', 'Glucagon', 'Glucagon-Like Peptide 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.477594256401062]
+Labels: ['Diabetes']
+Scores: [0.9992750883102417]
+Labels: ['Cancer']
+Scores: [4.9327103624818847e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013501445937436074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0037331574130803347]
+Labels: ['Mental Health']
+Scores: [5.9362180763855577e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996563792228699]
+Labels: ['Diabetes type 2']
+Scores: [7.590639143018052e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683465
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Female', 'Humans', 'Diabetes Mellitus, Type 1', 'Dietary Supplements', 'Dipeptidyl-Peptidase IV Inhibitors', 'Insulin-Secreting Cells', 'Latent Autoimmune Diabetes in Adults', 'Vitamin D', 'Vitamin D Deficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9553691744804382]
+Labels: ['Diabetes']
+Scores: [0.9998394250869751]
+Labels: ['Cancer']
+Scores: [0.00021770261810161173]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014705387002322823]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007988339057192206]
+Labels: ['Mental Health']
+Scores: [7.887070387369022e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.006571861449629068]
+Labels: ['Diabetes type 2']
+Scores: [0.7411903142929077]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39682744
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Extracellular Vesicles', 'Humans', 'Insulin-Secreting Cells', 'Cell Communication', 'Animals', 'Islets of Langerhans', 'Cellular Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05435608699917793]
+Labels: ['Diabetes']
+Scores: [0.9998325109481812]
+Labels: ['Cancer']
+Scores: [7.716847176197916e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001765446359058842]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020064745331183076]
+Labels: ['Mental Health']
+Scores: [4.9350208428222686e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9998098015785217]
+Labels: ['Diabetes type 2']
+Scores: [4.6493525587720796e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682729
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Intestinal Mucosa', 'Inflammatory Bowel Diseases', 'Celiac Disease', 'Protein Tyrosine Phosphatases', 'Animals', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07168993353843689]
+Labels: ['Diabetes']
+Scores: [0.9982947111129761]
+Labels: ['Cancer']
+Scores: [0.004587516654282808]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010396206198493019]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019298358529340476]
+Labels: ['Mental Health']
+Scores: [5.109223275212571e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9989010095596313]
+Labels: ['Diabetes type 2']
+Scores: [0.00038547528674826026]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682726
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Organoids', 'Alzheimer Disease', 'Herpesvirus 1, Human', 'Brain', 'Herpes Simplex', 'Islets of Langerhans', 'Autoimmune Diseases', 'Stem Cells', 'Transcriptome', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8062842488288879]
+Labels: ['Diabetes']
+Scores: [0.017995785921812057]
+Labels: ['Cancer']
+Scores: [0.00027844199212267995]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003568481479305774]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000758409674745053]
+Labels: ['Mental Health']
+Scores: [0.0001373233535559848]
+Labels: ['Diabetes type 1']
+Scores: [0.6847937107086182]
+Labels: ['Diabetes type 2']
+Scores: [0.00045766058610752225]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39680874
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Aged', 'Diabetes Mellitus, Type 1', 'Caregivers', 'Male', 'Pilot Projects', 'Female', 'Feasibility Studies', 'Quality of Life', 'Middle Aged', 'Self-Management', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021171187981963158]
+Labels: ['Diabetes']
+Scores: [0.6575733423233032]
+Labels: ['Cancer']
+Scores: [4.6492190449498594e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.878727511619218e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011511562479427084]
+Labels: ['Mental Health']
+Scores: [0.00011820668441941962]
+Labels: ['Diabetes type 1']
+Scores: [0.013995117507874966]
+Labels: ['Diabetes type 2']
+Scores: [0.0020330508705228567]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680256
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Glycemic Control', 'Child', 'Diabetes Mellitus, Type 1', 'Parents', 'Child, Preschool', 'Hypoglycemia', 'Stress, Psychological', 'Infant', 'Blood Glucose', 'Parent-Child Relations', 'Fear']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9986810684204102]
+Labels: ['Diabetes']
+Scores: [0.9997482895851135]
+Labels: ['Cancer']
+Scores: [4.130919114686549e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.002666097832844e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007603736012242734]
+Labels: ['Mental Health']
+Scores: [0.000923394865822047]
+Labels: ['Diabetes type 1']
+Scores: [0.9997519850730896]
+Labels: ['Diabetes type 2']
+Scores: [5.564052116824314e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39679900
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Adult', 'Obesity', 'Diabetes Complications', 'Insulin Resistance', 'Young Adult', 'Cardiovascular Diseases', 'Obesity, Metabolically Benign', 'Body Mass Index', 'Follow-Up Studies', 'Adolescent', 'Diabetic Neuropathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19063648581504822]
+Labels: ['Diabetes']
+Scores: [0.9996519684791565]
+Labels: ['Cancer']
+Scores: [5.4358490160666406e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.730760989943519e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.36393246054649353]
+Labels: ['Mental Health']
+Scores: [4.831220212508924e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996447563171387]
+Labels: ['Diabetes type 2']
+Scores: [6.969193054828793e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39678192
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Biomarkers', 'Female', 'Lipase', 'Adult', 'Amylases', 'Immunotherapy', 'Trypsin', 'Young Adult', 'Pancreas, Exocrine', 'Adolescent', 'Granulocyte Colony-Stimulating Factor', 'Treatment Outcome', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5588868856430054]
+Labels: ['Diabetes']
+Scores: [0.9991915822029114]
+Labels: ['Cancer']
+Scores: [0.00015945012273732573]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001021384887280874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015613228606525809]
+Labels: ['Mental Health']
+Scores: [4.944682223140262e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997148513793945]
+Labels: ['Diabetes type 2']
+Scores: [6.768019375158474e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39676645
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Prospective Studies', 'Adult', 'Systole', 'Diastole', 'Ultrasonography, Prenatal', 'Fetal Heart', 'Diabetes Mellitus, Type 1', 'Echocardiography, Doppler', 'Young Adult', 'Ventricular Function, Left', 'Myocardial Contraction', 'Pregnancy in Diabetics', 'Stroke Volume', 'Diabetes Mellitus, Type 2', 'Heart Ventricles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4679381251335144]
+Labels: ['Diabetes']
+Scores: [0.9333930015563965]
+Labels: ['Cancer']
+Scores: [5.861909085069783e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014236419228836894]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997239112854004]
+Labels: ['Mental Health']
+Scores: [3.3812833862612024e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0013980031944811344]
+Labels: ['Diabetes type 2']
+Scores: [0.0018140136962756515]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39676515
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Health Knowledge, Attitudes, Practice', 'Female', 'Male', 'School Teachers', 'Morocco', 'Adult', 'Surveys and Questionnaires', 'Child', 'Schools', 'Health Education', 'School Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9866750836372375]
+Labels: ['Diabetes']
+Scores: [0.9997373819351196]
+Labels: ['Cancer']
+Scores: [4.646998786483891e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010572822793619707]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011851015005959198]
+Labels: ['Mental Health']
+Scores: [0.00010410699906060472]
+Labels: ['Diabetes type 1']
+Scores: [0.9992946982383728]
+Labels: ['Diabetes type 2']
+Scores: [0.00011483473645057529]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675543
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Pyroptosis', 'Diabetes Mellitus, Type 1', 'Mice', 'Arsenic', 'Caspase 1', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Diabetes Mellitus, Experimental', 'Male', 'Insulin', 'Reactive Oxygen Species', 'Blood Glucose', 'Streptozocin', 'Phosphate-Binding Proteins', 'Disease Progression', 'Interleukin-18', 'Interleukin-1beta', 'Pancreas', 'Signal Transduction', 'Mice, Inbred C57BL', 'Insulin Resistance', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004545200150460005]
+Labels: ['Diabetes']
+Scores: [0.9988067150115967]
+Labels: ['Cancer']
+Scores: [0.0007392553379759192]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00011345247185090557]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002579322608653456]
+Labels: ['Mental Health']
+Scores: [5.717750536859967e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9992886185646057]
+Labels: ['Diabetes type 2']
+Scores: [0.00029025462572462857]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675483
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Insulin Infusion Systems', 'Adolescent', 'Parents', 'Insulin', 'Blood Glucose Self-Monitoring', 'Child', 'Hypoglycemic Agents', 'Patient Acceptance of Health Care', 'Surveys and Questionnaires', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8925016522407532]
+Labels: ['Diabetes']
+Scores: [0.999617338180542]
+Labels: ['Cancer']
+Scores: [5.780471838079393e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021169401588849723]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021984969498589635]
+Labels: ['Mental Health']
+Scores: [0.0007258106488734484]
+Labels: ['Diabetes type 1']
+Scores: [0.999654233455658]
+Labels: ['Diabetes type 2']
+Scores: [7.092753367032856e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39675356
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Methylenetetrahydrofolate Reductase (NADPH2)', 'Female', 'Male', 'Adolescent', 'Child', 'Interleukin-4', 'Polymorphism, Genetic', 'Diabetic Neuropathies', 'Diabetes Mellitus, Type 1', 'Genotype', 'Genetic Predisposition to Disease', 'Neural Conduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03874044865369797]
+Labels: ['Diabetes']
+Scores: [0.9975466132164001]
+Labels: ['Cancer']
+Scores: [4.994426490156911e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.917374437558465e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12053295969963074]
+Labels: ['Mental Health']
+Scores: [0.0005387890851125121]
+Labels: ['Diabetes type 1']
+Scores: [0.0004754004185087979]
+Labels: ['Diabetes type 2']
+Scores: [0.0008269781246781349]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673446
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cost-Benefit Analysis', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents', 'Models, Economic', 'Glycated Hemoglobin', 'Quality-Adjusted Life Years', 'Randomized Controlled Trials as Topic', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8453196287155151]
+Labels: ['Diabetes']
+Scores: [0.9713483452796936]
+Labels: ['Cancer']
+Scores: [4.1745344788068905e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.37725248048082e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.99533590907231e-05]
+Labels: ['Mental Health']
+Scores: [6.475493864854798e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9995876550674438]
+Labels: ['Diabetes type 2']
+Scores: [5.152540688868612e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673230
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cardiovascular Diseases', 'Australia', 'Risk Assessment', 'Male', 'Female', 'Adult', 'Middle Aged', 'Heart Disease Risk Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.990166962146759]
+Labels: ['Diabetes']
+Scores: [0.99745774269104]
+Labels: ['Cancer']
+Scores: [9.512610995443538e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010313200618838891]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996447563171387]
+Labels: ['Mental Health']
+Scores: [4.7796529543120414e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997072815895081]
+Labels: ['Diabetes type 2']
+Scores: [7.685302989557385e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39670552
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Insulin', 'Child', 'Female', 'Male', 'Needlestick Injuries', 'Injections, Subcutaneous', 'Needles', 'Adolescent', 'Diabetes Mellitus, Type 1', 'Child, Preschool', 'Hypoglycemic Agents', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006152621004730463]
+Labels: ['Diabetes']
+Scores: [0.8832157254219055]
+Labels: ['Cancer']
+Scores: [0.00012967003567609936]
+Labels: ['Chronic respiratory disease']
+Scores: [7.594755879836157e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.969003440346569e-05]
+Labels: ['Mental Health']
+Scores: [0.00010544660472078249]
+Labels: ['Diabetes type 1']
+Scores: [0.0014008505968376994]
+Labels: ['Diabetes type 2']
+Scores: [0.0007141641108319163]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39667114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Child', 'Prospective Studies', 'Pneumococcal Vaccines', 'Seroconversion', 'Pilot Projects', 'Antibodies, Bacterial', 'Child, Preschool', 'Immunoglobulin G', 'Adolescent', 'Vaccination', 'Pneumococcal Infections', 'Glycated Hemoglobin', 'Streptococcus pneumoniae']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9490499496459961]
+Labels: ['Diabetes']
+Scores: [0.3989371657371521]
+Labels: ['Cancer']
+Scores: [5.526846871362068e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02501995489001274]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001236817188328132]
+Labels: ['Mental Health']
+Scores: [7.562981772935018e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9971464276313782]
+Labels: ['Diabetes type 2']
+Scores: [0.0001707087067188695]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3426448404788971]
+Labels: ['Diabetes']
+Scores: [0.9991878867149353]
+Labels: ['Cancer']
+Scores: [6.405288877431303e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.250374619616196e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004938851343467832]
+Labels: ['Mental Health']
+Scores: [5.6180891988333315e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9908948540687561]
+Labels: ['Diabetes type 2']
+Scores: [0.9990792274475098]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665438
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Insulin-Secreting Cells', 'Diabetes Mellitus, Experimental', 'Cell Survival', 'Anti-Inflammatory Agents', 'Polytetrafluoroethylene', 'Diabetes Mellitus, Type 1', 'Male', 'Macrophages', 'Membranes, Artificial', 'Mice, Inbred C57BL', 'Cell Encapsulation', 'Islets of Langerhans Transplantation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9773262143135071]
+Labels: ['Diabetes']
+Scores: [0.9989638924598694]
+Labels: ['Cancer']
+Scores: [8.02091890363954e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002176364214392379]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018301320960745215]
+Labels: ['Mental Health']
+Scores: [6.479780131485313e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996174573898315]
+Labels: ['Diabetes type 2']
+Scores: [8.758226613281295e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39664107
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Adult', 'Middle Aged', 'Diabetic Neuropathies', 'Female', 'Magnetic Resonance Imaging', 'Olfactory Bulb', 'Aged', 'Young Adult', 'Adolescent', 'Case-Control Studies', 'Smell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2807391583919525]
+Labels: ['Diabetes']
+Scores: [0.999512255191803]
+Labels: ['Cancer']
+Scores: [0.00016447383677586913]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020305535290390253]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005705361254513264]
+Labels: ['Mental Health']
+Scores: [0.0002661750768311322]
+Labels: ['Diabetes type 1']
+Scores: [0.999675452709198]
+Labels: ['Diabetes type 2']
+Scores: [9.610159031581134e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39663236
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Quality of Life', 'Psychometrics', 'Sweden', 'Child', 'Male', 'Female', 'Surveys and Questionnaires', 'Chronic Disease', 'Adolescent', 'Reproducibility of Results', 'Diabetes Mellitus, Type 1', 'Translations', 'Asthma', 'Parents', 'Factor Analysis, Statistical', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08415506780147552]
+Labels: ['Diabetes']
+Scores: [0.00043066684156656265]
+Labels: ['Cancer']
+Scores: [0.00032455887412652373]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00035809355904348195]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023041102394927293]
+Labels: ['Mental Health']
+Scores: [0.00045745904208160937]
+Labels: ['Diabetes type 1']
+Scores: [0.0005365585093386471]
+Labels: ['Diabetes type 2']
+Scores: [0.00031794028473086655]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661959
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Adolescent', 'Male', 'Belgium', 'Longitudinal Studies', 'Young Adult', 'Adult', 'Self Concept']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9178881049156189]
+Labels: ['Diabetes']
+Scores: [0.9988110065460205]
+Labels: ['Cancer']
+Scores: [6.368024332914501e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010194505739491433]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012278294889256358]
+Labels: ['Mental Health']
+Scores: [0.0016471955459564924]
+Labels: ['Diabetes type 1']
+Scores: [0.9996927976608276]
+Labels: ['Diabetes type 2']
+Scores: [4.616644946509041e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658973
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Retrospective Studies', 'Pakistan', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Adult', 'SARS-CoV-2', 'Survival Rate', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9980664849281311]
+Labels: ['Diabetes']
+Scores: [0.9997859001159668]
+Labels: ['Cancer']
+Scores: [0.00016742230218369514]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10905981063842773]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007316086906939745]
+Labels: ['Mental Health']
+Scores: [6.63793834974058e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9995509386062622]
+Labels: ['Diabetes type 2']
+Scores: [0.9985582828521729]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39658119
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Diabetes Mellitus, Type 1', 'Child', 'Male', 'Female', 'Retrospective Studies', 'Adolescent', 'Saudi Arabia', 'Child, Preschool', 'Incidence', 'Polyuria', 'Abdominal Pain', 'Polydipsia', 'Vomiting', 'Age Factors', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.976138174533844]
+Labels: ['Diabetes']
+Scores: [0.9996810555458069]
+Labels: ['Cancer']
+Scores: [6.04589658905752e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.099362068809569e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013205759751144797]
+Labels: ['Mental Health']
+Scores: [6.945586937945336e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9995935559272766]
+Labels: ['Diabetes type 2']
+Scores: [0.00014920062676537782]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658013
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Female', 'Male', 'Self Efficacy', 'Quality of Life', 'Jordan', 'Glycemic Control', 'Empowerment', 'Glycated Hemoglobin', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7378994226455688]
+Labels: ['Diabetes']
+Scores: [0.9988774061203003]
+Labels: ['Cancer']
+Scores: [4.068691123393364e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.3743861169787124e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000381774763809517]
+Labels: ['Mental Health']
+Scores: [0.00019837619038298726]
+Labels: ['Diabetes type 1']
+Scores: [0.9996695518493652]
+Labels: ['Diabetes type 2']
+Scores: [4.756875932798721e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39653802
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Exercise', 'Insulin Infusion Systems', 'Insulin', 'Adolescent', 'Child', 'Hypoglycemic Agents', 'Europe', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9204167723655701]
+Labels: ['Diabetes']
+Scores: [0.9997811913490295]
+Labels: ['Cancer']
+Scores: [9.421518916497007e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001507264096289873]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011946784070460126]
+Labels: ['Mental Health']
+Scores: [5.770580901298672e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997921586036682]
+Labels: ['Diabetes type 2']
+Scores: [0.00012089915981050581]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39652325
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Male', 'Republic of Korea', 'Adolescent', 'Female', 'Child', 'Incidence', 'Child, Preschool', 'Young Adult', 'Cohort Studies', 'Pandemics', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9990799427032471]
+Labels: ['Diabetes']
+Scores: [0.9995760321617126]
+Labels: ['Cancer']
+Scores: [0.00016959304048214108]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037732284516096115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0034021527972072363]
+Labels: ['Mental Health']
+Scores: [0.00013145347475074232]
+Labels: ['Diabetes type 1']
+Scores: [0.9992260932922363]
+Labels: ['Diabetes type 2']
+Scores: [0.9934471845626831]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39652177
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Dermatitis, Atopic', 'Comorbidity', 'Risk Factors', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus', 'Child', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9854995608329773]
+Labels: ['Diabetes']
+Scores: [0.04604671150445938]
+Labels: ['Cancer']
+Scores: [0.00010006443335441872]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005025444086641073]
+Labels: ['Cardiovascular diseases']
+Scores: [6.271339952945709e-05]
+Labels: ['Mental Health']
+Scores: [8.11918216641061e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0004232070641592145]
+Labels: ['Diabetes type 2']
+Scores: [0.0008320448105223477]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [3, 4]]
+---------------------------------
+---------------------------------
+PMID: 39649224
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Genetic Predisposition to Disease', 'Genome-Wide Association Study', 'Glycated Hemoglobin', 'Mendelian Randomization Analysis', 'Polymorphism, Single Nucleotide', 'Spondylitis, Ankylosing']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0235198512673378]
+Labels: ['Diabetes']
+Scores: [0.9946553111076355]
+Labels: ['Cancer']
+Scores: [6.233253225218505e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00029866149998269975]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014412628952413797]
+Labels: ['Mental Health']
+Scores: [5.114341911394149e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0028714544605463743]
+Labels: ['Diabetes type 2']
+Scores: [0.7905757427215576]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39648458
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Fatty Acids, Omega-3', 'Chemokine CXCL9', 'Insulin-Secreting Cells', 'Animals', 'Mice', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.045258861035108566]
+Labels: ['Diabetes']
+Scores: [0.9994942545890808]
+Labels: ['Cancer']
+Scores: [0.00015273825556505471]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012662258814089]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00034211890306323767]
+Labels: ['Mental Health']
+Scores: [5.3493342420551926e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996656775474548]
+Labels: ['Diabetes type 2']
+Scores: [0.00011862781684612855]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39645243
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Insulin-Secreting Cells', 'Animals', 'Drug Development', 'Insulin Secretion', 'Insulin', 'Disease Progression', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9591549634933472]
+Labels: ['Diabetes']
+Scores: [0.9996610879898071]
+Labels: ['Cancer']
+Scores: [0.00010504784586373717]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013899305486120284]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002620827581267804]
+Labels: ['Mental Health']
+Scores: [5.2806371968472376e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9998067617416382]
+Labels: ['Diabetes type 2']
+Scores: [0.0001384695351589471]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39644976
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diving', 'Adult', 'Hypoglycemia', 'Male', 'Female', 'Blood Glucose', 'Young Adult', 'Blood Glucose Self-Monitoring', 'Glycated Hemoglobin', 'Adolescent', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.944981038570404]
+Labels: ['Diabetes']
+Scores: [0.9997715353965759]
+Labels: ['Cancer']
+Scores: [5.730853445129469e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001929646939970553]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009802335407584906]
+Labels: ['Mental Health']
+Scores: [6.478383875219151e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997261166572571]
+Labels: ['Diabetes type 2']
+Scores: [7.232143980218098e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39642862
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Islets of Langerhans Transplantation', 'Induced Pluripotent Stem Cells', 'Islets of Langerhans', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09939650446176529]
+Labels: ['Diabetes']
+Scores: [0.9970123171806335]
+Labels: ['Cancer']
+Scores: [7.584409468108788e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.4264310417929664e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.320634565781802e-05]
+Labels: ['Mental Health']
+Scores: [7.997353532118723e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996389150619507]
+Labels: ['Diabetes type 2']
+Scores: [5.311191489454359e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39639901
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cost-Benefit Analysis', 'Diabetes Mellitus, Type 2', 'Patient Education as Topic', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7108091115951538]
+Labels: ['Diabetes']
+Scores: [0.999809980392456]
+Labels: ['Cancer']
+Scores: [5.026582948630676e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.180610166164115e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012115368735976517]
+Labels: ['Mental Health']
+Scores: [0.00011715957953128964]
+Labels: ['Diabetes type 1']
+Scores: [0.0004822008777409792]
+Labels: ['Diabetes type 2']
+Scores: [0.9995392560958862]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39636437
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Mice, Inbred NOD', 'Mice', 'Female', 'Diabetes Mellitus, Type 1', 'Antigens, Differentiation, T-Lymphocyte', 'Antibodies, Monoclonal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8206027746200562]
+Labels: ['Diabetes']
+Scores: [0.9996839165687561]
+Labels: ['Cancer']
+Scores: [9.086706268135458e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007417064625769854]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003051944077014923]
+Labels: ['Mental Health']
+Scores: [4.266880205250345e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9994242787361145]
+Labels: ['Diabetes type 2']
+Scores: [8.076810627244413e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632776
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Glycemic Control', 'Blood Glucose Self-Monitoring', 'Hypoglycemia', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 2', 'Diabetic Angiopathies', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Postprandial Period', 'Clinical Relevance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05082210898399353]
+Labels: ['Diabetes']
+Scores: [0.9997761249542236]
+Labels: ['Cancer']
+Scores: [0.00011528297909535468]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013017593300901353]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01643102802336216]
+Labels: ['Mental Health']
+Scores: [6.71200905344449e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.003645222168415785]
+Labels: ['Diabetes type 2']
+Scores: [0.008967911824584007]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632164
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Female', 'Male', 'Child, Preschool', 'Surveys and Questionnaires', 'Infant', 'Parents', 'Insulin Infusion Systems', 'Patient Satisfaction', 'Blood Glucose', 'Child', 'Caregivers', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9535092115402222]
+Labels: ['Diabetes']
+Scores: [0.993868350982666]
+Labels: ['Cancer']
+Scores: [6.551291153300554e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010432991984998807]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00026229018112644553]
+Labels: ['Mental Health']
+Scores: [8.793834422249347e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996914267539978]
+Labels: ['Diabetes type 2']
+Scores: [5.205432898947038e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39629047
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Drug Administration Schedule', 'Glycated Hemoglobin', 'Hypoglycemia', 'Hypoglycemic Agents', 'Insulin', 'Insulin, Long-Acting', 'Randomized Controlled Trials as Topic', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.038270968943834305]
+Labels: ['Diabetes']
+Scores: [0.9994717836380005]
+Labels: ['Cancer']
+Scores: [4.189743776805699e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.578543641604483e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018395260849501938]
+Labels: ['Mental Health']
+Scores: [4.236202948959544e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.992294192314148]
+Labels: ['Diabetes type 2']
+Scores: [0.9944688081741333]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39627081
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Retrospective Studies', 'Child', 'Female', 'Male', 'Adolescent', 'Child, Preschool', 'Infant', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 1', 'Insulin, Long-Acting', 'Insulin', 'Infant, Newborn', 'Infusions, Intravenous']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8714147210121155]
+Labels: ['Diabetes']
+Scores: [0.9997871518135071]
+Labels: ['Cancer']
+Scores: [5.953083382337354e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008052189950831234]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003949676640331745]
+Labels: ['Mental Health']
+Scores: [5.204591070651077e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9831187725067139]
+Labels: ['Diabetes type 2']
+Scores: [0.007548777386546135]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39626097
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'HLA-DR3 Antigen', 'Haplotypes', 'HLA-DR4 Antigen', 'Genetic Predisposition to Disease', 'Male', 'Female', 'Genome-Wide Association Study', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13353441655635834]
+Labels: ['Diabetes']
+Scores: [0.9997371435165405]
+Labels: ['Cancer']
+Scores: [7.247975736390799e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.367413829546422e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.306014933623374e-05]
+Labels: ['Mental Health']
+Scores: [6.156775634735823e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9995432496070862]
+Labels: ['Diabetes type 2']
+Scores: [6.873245729366317e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625868
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Wearable Electronic Devices']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9892644882202148]
+Labels: ['Diabetes']
+Scores: [0.9994879364967346]
+Labels: ['Cancer']
+Scores: [7.27057849871926e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.423089118674397e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022813976102042943]
+Labels: ['Mental Health']
+Scores: [6.766660226276144e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.999503493309021]
+Labels: ['Diabetes type 2']
+Scores: [0.998684287071228]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39625848
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Insulin', 'Administration, Cutaneous', 'Needles', 'Drug Delivery Systems', 'Animals', 'Skin', 'Swine', 'Skin Absorption', 'Microinjections', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Humans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6066721081733704]
+Labels: ['Diabetes']
+Scores: [0.48667630553245544]
+Labels: ['Cancer']
+Scores: [7.431488484144211e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002479078248143196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00026345072546973825]
+Labels: ['Mental Health']
+Scores: [9.690529259387404e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9762259125709534]
+Labels: ['Diabetes type 2']
+Scores: [0.00016034279542509466]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625039
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, Glucagon', 'Hypoglycemic Agents', 'Blood Glucose', 'Insulin', 'Randomized Controlled Trials as Topic', 'Hypoglycemia', 'Treatment Outcome', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.972591757774353]
+Labels: ['Diabetes']
+Scores: [0.9998271465301514]
+Labels: ['Cancer']
+Scores: [7.733467646175995e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.271100573940203e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016839171294122934]
+Labels: ['Mental Health']
+Scores: [6.5655040089041e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9998371601104736]
+Labels: ['Diabetes type 2']
+Scores: [0.00023314484860748053]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622650
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Adolescent', 'Insulin', 'Skin Diseases', 'Hypoglycemic Agents', 'Child, Preschool', 'Lipodystrophy', 'Dermatitis, Contact']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14170871675014496]
+Labels: ['Diabetes']
+Scores: [0.9994844794273376]
+Labels: ['Cancer']
+Scores: [9.824324661167338e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.0996895626885816e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.745012019062415e-05]
+Labels: ['Mental Health']
+Scores: [5.2408962801564485e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996389150619507]
+Labels: ['Diabetes type 2']
+Scores: [5.607323691947386e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622257
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Registries', 'Child', 'Female', 'Male', 'Longitudinal Studies', 'Adolescent', 'Child, Preschool', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Treatment Outcome', 'Infant', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9959154725074768]
+Labels: ['Diabetes']
+Scores: [0.9991334080696106]
+Labels: ['Cancer']
+Scores: [4.841052941628732e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.454609734239057e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.407119068782777e-05]
+Labels: ['Mental Health']
+Scores: [3.6726069083670154e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9995837807655334]
+Labels: ['Diabetes type 2']
+Scores: [6.640394713031128e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622163
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Animals', 'Blood Glucose', 'Tissue Engineering', 'Porosity', 'Human Umbilical Vein Endothelial Cells', 'Tissue Scaffolds', 'Induced Pluripotent Stem Cells', 'Insulin', 'Diabetes Mellitus, Experimental', 'Printing, Three-Dimensional', 'Bioprinting', 'Male', 'Cell Survival', 'Insulin-Secreting Cells', 'Extracellular Matrix']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11658497154712677]
+Labels: ['Diabetes']
+Scores: [0.9990992546081543]
+Labels: ['Cancer']
+Scores: [8.479376992909238e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001177973099402152]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00026301227626390755]
+Labels: ['Mental Health']
+Scores: [6.178575858939439e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9997460842132568]
+Labels: ['Diabetes type 2']
+Scores: [8.219212759286165e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621933
+Predictions: ['Diabetes', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Child, Preschool', 'Retrospective Studies', 'Female', 'Blood Glucose', 'Male', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Hospitalization', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008657352067530155]
+Labels: ['Diabetes']
+Scores: [0.9998379945755005]
+Labels: ['Cancer']
+Scores: [4.101109516341239e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.912509707035497e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010257565008942038]
+Labels: ['Mental Health']
+Scores: [4.5628468797076494e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0007002291386015713]
+Labels: ['Diabetes type 2']
+Scores: [0.0009439292480237782]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621313
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice, Inbred NOD', 'Interleukin-4', 'Mice', 'Thymus Gland', 'Diabetes Mellitus, Type 1', 'Receptors, Antigen, T-Cell', 'Dendritic Cells', 'Natural Killer T-Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011163899675011635]
+Labels: ['Diabetes']
+Scores: [0.999289333820343]
+Labels: ['Cancer']
+Scores: [0.00015730669838376343]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002517450484447181]
+Labels: ['Cardiovascular diseases']
+Scores: [8.232941763708368e-05]
+Labels: ['Mental Health']
+Scores: [4.302126762922853e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996104836463928]
+Labels: ['Diabetes type 2']
+Scores: [8.973712829174474e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39620918
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Aged', 'Automobile Driving', 'Insulin Infusion Systems', 'Male', 'Female', 'Insulin', 'Cross-Over Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6767163276672363]
+Labels: ['Diabetes']
+Scores: [0.9998425245285034]
+Labels: ['Cancer']
+Scores: [5.4455136705655605e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.146982195787132e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008402385748922825]
+Labels: ['Mental Health']
+Scores: [5.7828154240269214e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9998241662979126]
+Labels: ['Diabetes type 2']
+Scores: [0.00010796160495374352]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9956045746803284]
+Labels: ['Diabetes']
+Scores: [0.9980748295783997]
+Labels: ['Cancer']
+Scores: [0.00016158779908437282]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003687990363687277]
+Labels: ['Cardiovascular diseases']
+Scores: [0.026290258392691612]
+Labels: ['Mental Health']
+Scores: [0.0016808932414278388]
+Labels: ['Diabetes type 1']
+Scores: [0.3632316291332245]
+Labels: ['Diabetes type 2']
+Scores: [0.9990472197532654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9802780747413635]
+Labels: ['Diabetes']
+Scores: [0.9989657402038574]
+Labels: ['Cancer']
+Scores: [6.617967301281169e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012823428551200777]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002741572097875178]
+Labels: ['Mental Health']
+Scores: [6.355384539347142e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9610505700111389]
+Labels: ['Diabetes type 2']
+Scores: [9.4928516773507e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9785143733024597]
+Labels: ['Diabetes']
+Scores: [0.9998063445091248]
+Labels: ['Cancer']
+Scores: [0.000795366067904979]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007644266588613391]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016071703284978867]
+Labels: ['Mental Health']
+Scores: [7.35149224055931e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.6640604734420776]
+Labels: ['Diabetes type 2']
+Scores: [0.9968070387840271]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01333481166511774]
+Labels: ['Diabetes']
+Scores: [0.9996673464775085]
+Labels: ['Cancer']
+Scores: [8.317428000736982e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024475326063111424]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019326024630572647]
+Labels: ['Mental Health']
+Scores: [6.315004429779947e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.5564080476760864]
+Labels: ['Diabetes type 2']
+Scores: [0.9995638728141785]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0070471311919391155]
+Labels: ['Diabetes']
+Scores: [0.9993497729301453]
+Labels: ['Cancer']
+Scores: [5.164455433259718e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.137894863262773e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001769897498888895]
+Labels: ['Mental Health']
+Scores: [4.940076178172603e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0018775658681988716]
+Labels: ['Diabetes type 2']
+Scores: [0.004946828819811344]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5782480239868164]
+Labels: ['Diabetes']
+Scores: [0.9991713762283325]
+Labels: ['Cancer']
+Scores: [0.00014286201621871442]
+Labels: ['Chronic respiratory disease']
+Scores: [4.167855513514951e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007192404591478407]
+Labels: ['Mental Health']
+Scores: [4.057267142343335e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9787558317184448]
+Labels: ['Diabetes type 2']
+Scores: [0.29336896538734436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009428207413293421]
+Labels: ['Diabetes']
+Scores: [0.9868541359901428]
+Labels: ['Cancer']
+Scores: [0.0014084604335948825]
+Labels: ['Chronic respiratory disease']
+Scores: [7.891948916949332e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015409777406603098]
+Labels: ['Mental Health']
+Scores: [5.380527363740839e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0018839174881577492]
+Labels: ['Diabetes type 2']
+Scores: [0.013712248764932156]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8116887211799622]
+Labels: ['Diabetes']
+Scores: [0.9985575675964355]
+Labels: ['Cancer']
+Scores: [5.080935443402268e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.732334051979706e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9974889159202576]
+Labels: ['Mental Health']
+Scores: [5.426097777672112e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001041662908392027]
+Labels: ['Diabetes type 2']
+Scores: [0.9994707703590393]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01029490027576685]
+Labels: ['Diabetes']
+Scores: [0.9997945427894592]
+Labels: ['Cancer']
+Scores: [8.767903636908159e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001434799050912261]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023803269141353667]
+Labels: ['Mental Health']
+Scores: [0.0004397655138745904]
+Labels: ['Diabetes type 1']
+Scores: [0.0001469700364395976]
+Labels: ['Diabetes type 2']
+Scores: [0.9996903538703918]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3403801918029785]
+Labels: ['Diabetes']
+Scores: [0.995468258857727]
+Labels: ['Cancer']
+Scores: [5.9639070968842134e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003841057186946273]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997538924217224]
+Labels: ['Mental Health']
+Scores: [6.743660196661949e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0006604709196835756]
+Labels: ['Diabetes type 2']
+Scores: [0.005674533545970917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22173576056957245]
+Labels: ['Diabetes']
+Scores: [0.9898842573165894]
+Labels: ['Cancer']
+Scores: [0.00013573915930464864]
+Labels: ['Chronic respiratory disease']
+Scores: [8.555327076464891e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002344161970540881]
+Labels: ['Mental Health']
+Scores: [6.69310538796708e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000621142506133765]
+Labels: ['Diabetes type 2']
+Scores: [0.9966413378715515]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9816492199897766]
+Labels: ['Diabetes']
+Scores: [0.9997527599334717]
+Labels: ['Cancer']
+Scores: [8.051074109971523e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00034700005198828876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02707209810614586]
+Labels: ['Mental Health']
+Scores: [0.00010919915075646713]
+Labels: ['Diabetes type 1']
+Scores: [0.0016472636489197612]
+Labels: ['Diabetes type 2']
+Scores: [0.9987874627113342]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9952845573425293]
+Labels: ['Diabetes']
+Scores: [0.9998288750648499]
+Labels: ['Cancer']
+Scores: [8.054616773733869e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027014166698791087]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00044790064566768706]
+Labels: ['Mental Health']
+Scores: [0.0003859293647110462]
+Labels: ['Diabetes type 1']
+Scores: [8.501963748130947e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.9997365474700928]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015272067859768867]
+Labels: ['Diabetes']
+Scores: [0.0004882122448179871]
+Labels: ['Cancer']
+Scores: [0.0007815220160409808]
+Labels: ['Chronic respiratory disease']
+Scores: [8.243350021075457e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007037275936454535]
+Labels: ['Mental Health']
+Scores: [5.300257180351764e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00016139760555233806]
+Labels: ['Diabetes type 2']
+Scores: [0.00022327637998387218]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9877458810806274]
+Labels: ['Diabetes']
+Scores: [0.9933074712753296]
+Labels: ['Cancer']
+Scores: [0.0016084534581750631]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001727259805193171]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14399823546409607]
+Labels: ['Mental Health']
+Scores: [6.883822061354294e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.029987432062625885]
+Labels: ['Diabetes type 2']
+Scores: [0.9989288449287415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8243948817253113]
+Labels: ['Diabetes']
+Scores: [0.9391528964042664]
+Labels: ['Cancer']
+Scores: [0.00012508542567957193]
+Labels: ['Chronic respiratory disease']
+Scores: [6.30899376119487e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007184786372818053]
+Labels: ['Mental Health']
+Scores: [3.933377956855111e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0002388506691204384]
+Labels: ['Diabetes type 2']
+Scores: [0.9965664744377136]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03651636838912964]
+Labels: ['Diabetes']
+Scores: [0.9993849396705627]
+Labels: ['Cancer']
+Scores: [0.0001666024763835594]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010209126048721373]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018969560915138572]
+Labels: ['Mental Health']
+Scores: [5.936931484029628e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0020820593927055597]
+Labels: ['Diabetes type 2']
+Scores: [0.9996395707130432]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021764859557151794]
+Labels: ['Diabetes']
+Scores: [0.918593168258667]
+Labels: ['Cancer']
+Scores: [0.044352851808071136]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016103136294987053]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04996476694941521]
+Labels: ['Mental Health']
+Scores: [4.645881926990114e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00817600917071104]
+Labels: ['Diabetes type 2']
+Scores: [0.9510049819946289]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2077803611755371]
+Labels: ['Diabetes']
+Scores: [0.9998159408569336]
+Labels: ['Cancer']
+Scores: [5.033005072618835e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.71732079051435e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9816165566444397]
+Labels: ['Mental Health']
+Scores: [4.6342007408384234e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00101013807579875]
+Labels: ['Diabetes type 2']
+Scores: [0.008092503063380718]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10171592980623245]
+Labels: ['Diabetes']
+Scores: [0.9994809627532959]
+Labels: ['Cancer']
+Scores: [8.624941983725876e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.375355926342309e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009024165570735931]
+Labels: ['Mental Health']
+Scores: [4.926862311549485e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00014284532517194748]
+Labels: ['Diabetes type 2']
+Scores: [0.9995379447937012]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033666692674160004]
+Labels: ['Diabetes']
+Scores: [0.9993067979812622]
+Labels: ['Cancer']
+Scores: [4.9603528168518096e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015003358712419868]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9962771534919739]
+Labels: ['Mental Health']
+Scores: [4.923274536849931e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.012325968593358994]
+Labels: ['Diabetes type 2']
+Scores: [0.03824502229690552]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735414
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cognitive Dysfunction', 'Olfaction Disorders', 'Early Diagnosis', 'Biomarkers', 'Smell', 'Magnetic Resonance Imaging', 'Brain']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06266704946756363]
+Labels: ['Diabetes']
+Scores: [0.9991399645805359]
+Labels: ['Cancer']
+Scores: [5.895346112083644e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002520425186958164]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007980152149684727]
+Labels: ['Mental Health']
+Scores: [0.010183194652199745]
+Labels: ['Diabetes type 1']
+Scores: [0.0002386263367952779]
+Labels: ['Diabetes type 2']
+Scores: [0.9995344281196594]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734182
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Female', 'Male', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Tibia', 'Periosteum', 'Microcirculation', 'Treatment Outcome', 'Follow-Up Studies', 'Wound Healing', 'Diabetes Mellitus, Type 2', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013192430138587952]
+Labels: ['Diabetes']
+Scores: [0.9995797872543335]
+Labels: ['Cancer']
+Scores: [9.592127025825903e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.29945716354996e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014736393932253122]
+Labels: ['Mental Health']
+Scores: [3.6678695323644206e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.009357413277029991]
+Labels: ['Diabetes type 2']
+Scores: [0.141983762383461]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07907013595104218]
+Labels: ['Diabetes']
+Scores: [0.9961138367652893]
+Labels: ['Cancer']
+Scores: [6.0266673244768754e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014122288848739117]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016302188858389854]
+Labels: ['Mental Health']
+Scores: [7.996737986104563e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0006395525997504592]
+Labels: ['Diabetes type 2']
+Scores: [0.0010157980723306537]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733138
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Diabetes Mellitus, Type 2', 'Humans', 'Osteoarthritis', 'Animals', 'Rats', 'Chondrocytes', 'Cartilage, Articular', 'Up-Regulation', 'Lipopolysaccharide Receptors', 'Male', 'Monocytes', 'Gene Expression Profiling', 'Biomarkers', 'Cell Adhesion Molecules']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9976311326026917]
+Labels: ['Diabetes']
+Scores: [0.634304940700531]
+Labels: ['Cancer']
+Scores: [0.0008429436711594462]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001801728649297729]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012072978541254997]
+Labels: ['Mental Health']
+Scores: [5.808221976622008e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0019882714841514826]
+Labels: ['Diabetes type 2']
+Scores: [0.986166775226593]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8574098348617554]
+Labels: ['Diabetes']
+Scores: [0.9996114373207092]
+Labels: ['Cancer']
+Scores: [0.00011167198681505397]
+Labels: ['Chronic respiratory disease']
+Scores: [6.518602458527312e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004105797037482262]
+Labels: ['Mental Health']
+Scores: [6.439282151404768e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9996322393417358]
+Labels: ['Diabetes type 2']
+Scores: [0.012468894012272358]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39733102
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Monocytes', 'Male', 'Female', 'Middle Aged', 'Apolipoprotein A-I', 'Biomarkers', 'Aged', 'ROC Curve', 'Non-alcoholic Fatty Liver Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9967700242996216]
+Labels: ['Diabetes']
+Scores: [0.9994227290153503]
+Labels: ['Cancer']
+Scores: [8.952111238613725e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.016923286253586e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8898839354515076]
+Labels: ['Mental Health']
+Scores: [5.4175685363588855e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00981536228209734]
+Labels: ['Diabetes type 2']
+Scores: [0.99964439868927]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39732300
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Ferroptosis', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 2', 'Male', 'Drugs, Chinese Herbal', 'Mice', 'Diabetes Mellitus, Experimental', 'Mice, Inbred C57BL', 'Oxidative Stress', 'Liver', 'Diet, High-Fat', 'Lipid Peroxidation', 'Berberine', 'Cell Line', 'Glucosides', 'Flavanones', 'Streptozocin', 'Isoflavones', 'Flavonoids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9238696694374084]
+Labels: ['Diabetes']
+Scores: [0.9888419508934021]
+Labels: ['Cancer']
+Scores: [6.454840331571177e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.933363667689264e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005856528296135366]
+Labels: ['Mental Health']
+Scores: [0.00020286689687054604]
+Labels: ['Diabetes type 1']
+Scores: [9.025177132571116e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.998885989189148]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731787
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Insulin Resistance', 'Animals', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Mice', 'Triterpenes', 'Male', 'Diabetes Mellitus, Experimental', 'Molecular Structure', 'Structure-Activity Relationship', 'Humans', 'Dose-Response Relationship, Drug', 'Mice, Inbred C57BL']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.676652729511261]
+Labels: ['Diabetes']
+Scores: [0.9995027184486389]
+Labels: ['Cancer']
+Scores: [9.703895193524659e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.55804285290651e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002454595814924687]
+Labels: ['Mental Health']
+Scores: [5.7811001170193776e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.022091412916779518]
+Labels: ['Diabetes type 2']
+Scores: [0.9980916976928711]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731761
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Coagulase', 'Comorbidity', 'Diabetes Mellitus, Type 2', 'Staphylococcal Infections', 'Staphylococcus', 'Systemic Inflammatory Response Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2850194275379181]
+Labels: ['Diabetes']
+Scores: [0.9162847995758057]
+Labels: ['Cancer']
+Scores: [0.0009639343479648232]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00100001972168684]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02419223263859749]
+Labels: ['Mental Health']
+Scores: [0.0001059366186382249]
+Labels: ['Diabetes type 1']
+Scores: [0.000557527004275471]
+Labels: ['Diabetes type 2']
+Scores: [0.9858774542808533]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9969815611839294]
+Labels: ['Diabetes']
+Scores: [0.9997869729995728]
+Labels: ['Cancer']
+Scores: [8.723651990294456e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014570684172213078]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002378735924139619]
+Labels: ['Mental Health']
+Scores: [0.0001358277804683894]
+Labels: ['Diabetes type 1']
+Scores: [0.0015301856910809875]
+Labels: ['Diabetes type 2']
+Scores: [0.999674379825592]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730877
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Non-alcoholic Fatty Liver Disease', 'Triglycerides', 'Middle Aged', 'Male', 'Female', 'Cholesterol, HDL', 'Retrospective Studies', 'Adult', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9993888139724731]
+Labels: ['Diabetes']
+Scores: [0.9692530035972595]
+Labels: ['Cancer']
+Scores: [0.00015216493920888752]
+Labels: ['Chronic respiratory disease']
+Scores: [8.251348481280729e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9996981620788574]
+Labels: ['Mental Health']
+Scores: [6.109457899583504e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.011965128593146801]
+Labels: ['Diabetes type 2']
+Scores: [0.9896860122680664]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39730670
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Thyroid Hormones', 'Aged', 'Diabetic Nephropathies', 'Diabetic Retinopathy', 'Diabetic Neuropathies', 'Thyrotropin', 'Thyroid Gland', 'Risk Factors', 'Thyroxine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8815682530403137]
+Labels: ['Diabetes']
+Scores: [0.9908475279808044]
+Labels: ['Cancer']
+Scores: [0.000579897896386683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015054343384690583]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007669277023524046]
+Labels: ['Mental Health']
+Scores: [9.46250802371651e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.014312764629721642]
+Labels: ['Diabetes type 2']
+Scores: [0.9966000318527222]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730430
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Periodontitis', 'Male', 'Female', 'Aged', 'Saliva', 'Biomarkers', 'Gingivitis', 'Adult', 'Microbiota', 'Aged, 80 and over', 'RNA, Ribosomal, 16S']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4112890362739563]
+Labels: ['Diabetes']
+Scores: [0.9992722868919373]
+Labels: ['Cancer']
+Scores: [0.00015616354357916862]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017740944167599082]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003234438772778958]
+Labels: ['Mental Health']
+Scores: [6.386933091562241e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0490790493786335]
+Labels: ['Diabetes type 2']
+Scores: [0.9996288418769836]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Female', 'Male', 'Heart Failure', 'Middle Aged', 'Aged', 'Retrospective Studies', 'Diabetes Mellitus, Type 2', 'Republic of Korea']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.943688690662384]
+Labels: ['Diabetes']
+Scores: [0.0008045340073294938]
+Labels: ['Cancer']
+Scores: [0.000224899806198664]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00018843742145691067]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997580647468567]
+Labels: ['Mental Health']
+Scores: [7.991882739588618e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0008837826317176223]
+Labels: ['Diabetes type 2']
+Scores: [0.002598888473585248]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730078
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sleep Initiation and Maintenance Disorders', 'Prediabetic State', 'Glycated Hemoglobin', 'Cognitive Behavioral Therapy', 'Blood Glucose', 'Male', 'Female', 'Insulin Resistance', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Blood Glucose Self-Monitoring', 'Adult', 'Patient Education as Topic', 'Aged', 'Sleep']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.851046085357666]
+Labels: ['Diabetes']
+Scores: [0.9976805448532104]
+Labels: ['Cancer']
+Scores: [4.771633030031808e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.828192348009907e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [9.108168160310015e-05]
+Labels: ['Mental Health']
+Scores: [0.001915561268106103]
+Labels: ['Diabetes type 1']
+Scores: [0.06800203025341034]
+Labels: ['Diabetes type 2']
+Scores: [0.20620183646678925]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729922
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Periodontitis', 'Male', 'Rats, Wistar', 'Macrophages', 'Diabetes Mellitus, Experimental', 'Rats', 'Alveolar Bone Loss', 'Vitamin D', 'Phagocytosis', 'Diabetes Mellitus, Type 2', 'Calcium', 'Efferocytosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9608199596405029]
+Labels: ['Diabetes']
+Scores: [0.9992251992225647]
+Labels: ['Cancer']
+Scores: [0.0001868865074357018]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0037088708486407995]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006978637538850307]
+Labels: ['Mental Health']
+Scores: [5.056834561401047e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003240903897676617]
+Labels: ['Diabetes type 2']
+Scores: [0.9991081953048706]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729784
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Melanoma', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Denmark', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Neoplasm Staging', 'Adult', 'Sex Factors', 'Skin Neoplasms', 'Registries', 'Lymphatic Metastasis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9962376952171326]
+Labels: ['Diabetes']
+Scores: [0.2498745322227478]
+Labels: ['Cancer']
+Scores: [0.9997507333755493]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003602959041018039]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014578878472093493]
+Labels: ['Mental Health']
+Scores: [6.374783697538078e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011088653991464525]
+Labels: ['Diabetes type 2']
+Scores: [0.8101553916931152]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729310
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Lectins', 'Male', 'Female', 'GPI-Linked Proteins', 'Middle Aged', 'Periodontitis', 'Cytokines', 'Tumor Necrosis Factor-alpha', 'Adult', 'Biomarkers', 'Cytokine TWEAK', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15551342070102692]
+Labels: ['Diabetes']
+Scores: [0.9886364340782166]
+Labels: ['Cancer']
+Scores: [0.9095211029052734]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012591418344527483]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007876423187553883]
+Labels: ['Mental Health']
+Scores: [0.00012717611389234662]
+Labels: ['Diabetes type 1']
+Scores: [0.00029266480123624206]
+Labels: ['Diabetes type 2']
+Scores: [0.9977400302886963]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729235
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Antioxidants', 'Plant Extracts', 'Animals', 'Hypoglycemic Agents', 'Adipogenesis', 'Mice', 'Adipocytes', 'Apoptosis', 'Asteraceae', '3T3-L1 Cells', 'alpha-Amylases', 'Cell Movement', 'Phenols', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02182815968990326]
+Labels: ['Diabetes']
+Scores: [0.9484415054321289]
+Labels: ['Cancer']
+Scores: [0.001111472025513649]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001342895266134292]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004448291438166052]
+Labels: ['Mental Health']
+Scores: [4.260232890374027e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.008908539079129696]
+Labels: ['Diabetes type 2']
+Scores: [0.9953461289405823]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39728692
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Docosahexaenoic Acids', 'Animals', 'Diabetic Retinopathy', 'Mice', 'Humans', 'Electroretinography', 'Retina', 'Tomography, Optical Coherence', 'Male', 'Middle Aged', 'Mice, Inbred C57BL', 'Female', 'Diabetes Mellitus, Experimental', 'Gas Chromatography-Mass Spectrometry', 'Real-Time Polymerase Chain Reaction', 'Diabetes Mellitus, Type 2', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9519252181053162]
+Labels: ['Diabetes']
+Scores: [0.9997446537017822]
+Labels: ['Cancer']
+Scores: [7.252159412018955e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001877242757473141]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002891574113164097]
+Labels: ['Mental Health']
+Scores: [6.145686347736046e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0013170146849006414]
+Labels: ['Diabetes type 2']
+Scores: [0.06685181707143784]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726656
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Israel', 'Female', 'Adolescent', 'Arabs', 'Cross-Sectional Studies', 'Jews', 'Polycystic Ovary Syndrome', 'Hypertension', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Pediatric Obesity', 'Prevalence', 'Male', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9474592804908752]
+Labels: ['Diabetes']
+Scores: [0.9751540422439575]
+Labels: ['Cancer']
+Scores: [5.145361865288578e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014134198136162013]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9891324639320374]
+Labels: ['Mental Health']
+Scores: [8.268299279734492e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00015726567653473467]
+Labels: ['Diabetes type 2']
+Scores: [0.005226484499871731]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 3], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39725431
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Prediabetic State', 'China', 'Diabetes Mellitus, Type 2', 'Randomized Controlled Trials as Topic', 'Prospective Studies', 'Single-Blind Method', 'Telemedicine', 'Multicenter Studies as Topic', 'Cost-Benefit Analysis', 'Male', 'Group Dynamics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9897940754890442]
+Labels: ['Diabetes']
+Scores: [0.5527323484420776]
+Labels: ['Cancer']
+Scores: [3.7532237911364064e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.230874426662922e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011466594878584146]
+Labels: ['Mental Health']
+Scores: [6.349555042106658e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9938566088676453]
+Labels: ['Diabetes type 2']
+Scores: [0.0002282725617988035]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes type 1']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39725366
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Cognitive Dysfunction', 'Rats', 'Gastrointestinal Microbiome', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley', 'Bile Acids and Salts', 'Hypoglycemic Agents', 'Insulin Resistance', 'Hippocampus', 'Maze Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9689258933067322]
+Labels: ['Diabetes']
+Scores: [0.9993219971656799]
+Labels: ['Cancer']
+Scores: [7.63058487791568e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017536658560857177]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0033175633288919926]
+Labels: ['Mental Health']
+Scores: [0.003477372694760561]
+Labels: ['Diabetes type 1']
+Scores: [0.00031214350019581616]
+Labels: ['Diabetes type 2']
+Scores: [0.9996483325958252]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724976
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Colorectal Neoplasms', 'Mass Screening', 'Prostate-Specific Antigen', 'Chronic Disease', 'Male', 'Guideline Adherence', 'Prostatic Neoplasms', 'Diabetes Mellitus, Type 2', 'HIV Infections', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8146237730979919]
+Labels: ['Diabetes']
+Scores: [0.00018178772006649524]
+Labels: ['Cancer']
+Scores: [0.9989404082298279]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00041048580897040665]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007076301262713969]
+Labels: ['Mental Health']
+Scores: [0.00011491678014863282]
+Labels: ['Diabetes type 1']
+Scores: [0.0001607764424989]
+Labels: ['Diabetes type 2']
+Scores: [0.00014829463907517493]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39723533
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Cognitive Dysfunction', 'Mice', 'Network Pharmacology', 'Molecular Docking Simulation', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Diabetes Mellitus, Experimental', 'Protein Interaction Maps', 'Hippocampus', 'Signal Transduction', 'Disease Models, Animal', 'Morris Water Maze Test']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10893125832080841]
+Labels: ['Diabetes']
+Scores: [0.9993544816970825]
+Labels: ['Cancer']
+Scores: [9.51566471485421e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001018106922856532]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00042224908247590065]
+Labels: ['Mental Health']
+Scores: [0.00035073375329375267]
+Labels: ['Diabetes type 1']
+Scores: [0.0043273549526929855]
+Labels: ['Diabetes type 2']
+Scores: [0.13735298812389374]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722814
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Homocysteine', 'Male', 'Female', 'Middle Aged', 'Neural Conduction', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Aged', 'Risk Factors', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0332375168800354]
+Labels: ['Diabetes']
+Scores: [0.9998196959495544]
+Labels: ['Cancer']
+Scores: [5.800378494313918e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.045961370342411e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07823421061038971]
+Labels: ['Mental Health']
+Scores: [5.5649783462285995e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003958219022024423]
+Labels: ['Diabetes type 2']
+Scores: [0.9996810555458069]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722811
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'COVID-19', 'Female', 'Male', 'Middle Aged', 'Risk Factors', 'Post-Acute COVID-19 Syndrome', 'Aged', 'Adult', 'Ukraine', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009528804570436478]
+Labels: ['Diabetes']
+Scores: [0.9978733062744141]
+Labels: ['Cancer']
+Scores: [0.00018344353884458542]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005280270241200924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30994075536727905]
+Labels: ['Mental Health']
+Scores: [5.437176878331229e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011726664524758235]
+Labels: ['Diabetes type 2']
+Scores: [0.9989508390426636]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721796
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Gestational Weight Gain', 'White People', 'Adult', 'Retrospective Studies', 'Pregnancy Outcome', 'Obesity', 'COVID-19', 'Pregnancy Complications', 'Black or African American', 'Health Status Disparities', 'Louisiana', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8153008818626404]
+Labels: ['Diabetes']
+Scores: [5.687454540748149e-05]
+Labels: ['Cancer']
+Scores: [5.980979767628014e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [3.904162076651119e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [5.177458660909906e-05]
+Labels: ['Mental Health']
+Scores: [9.300738747697324e-05]
+Labels: ['Diabetes type 1']
+Scores: [6.242309609660879e-05]
+Labels: ['Diabetes type 2']
+Scores: [6.253081664908677e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720906
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Testosterone', 'Middle Aged', 'Aged', 'Australia', 'Risk Factors', 'Glucose Tolerance Test', 'Glycated Hemoglobin', 'Prognosis', 'Blood Glucose', 'Glucose Intolerance', 'Life Style', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9418284893035889]
+Labels: ['Diabetes']
+Scores: [0.9995937943458557]
+Labels: ['Cancer']
+Scores: [5.4605730838375166e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.277615855447948e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0026321231853216887]
+Labels: ['Mental Health']
+Scores: [4.6048568037804216e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0010753967799246311]
+Labels: ['Diabetes type 2']
+Scores: [0.9994165301322937]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9619349241256714]
+Labels: ['Diabetes']
+Scores: [0.9994415640830994]
+Labels: ['Cancer']
+Scores: [3.3904521842487156e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.53619455685839e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006454118993133307]
+Labels: ['Mental Health']
+Scores: [4.2668521928135306e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.17654447257518768]
+Labels: ['Diabetes type 2']
+Scores: [0.9200870394706726]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [1, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01370376255363226]
+Labels: ['Diabetes']
+Scores: [0.9919439554214478]
+Labels: ['Cancer']
+Scores: [0.00024004191800486296]
+Labels: ['Chronic respiratory disease']
+Scores: [4.4729993533110246e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014937741798348725]
+Labels: ['Mental Health']
+Scores: [5.6401699112029746e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.010411347262561321]
+Labels: ['Diabetes type 2']
+Scores: [0.010548162274062634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07088932394981384]
+Labels: ['Diabetes']
+Scores: [0.9996510148048401]
+Labels: ['Cancer']
+Scores: [0.000148773193359375]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001924622483784333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.994584321975708]
+Labels: ['Mental Health']
+Scores: [4.7713831008877605e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003084516210947186]
+Labels: ['Diabetes type 2']
+Scores: [0.9995771646499634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9235341548919678]
+Labels: ['Diabetes']
+Scores: [0.9995697736740112]
+Labels: ['Cancer']
+Scores: [0.00010923144145635888]
+Labels: ['Chronic respiratory disease']
+Scores: [9.157154272543266e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10641667991876602]
+Labels: ['Mental Health']
+Scores: [4.868465111940168e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.002570384880527854]
+Labels: ['Diabetes type 2']
+Scores: [0.02581668645143509]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720247
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Insulin Resistance', 'Bile Acids and Salts', 'Medicine, Chinese Traditional', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7325546741485596]
+Labels: ['Diabetes']
+Scores: [0.9996885657310486]
+Labels: ['Cancer']
+Scores: [0.0003685747506096959]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003001091827172786]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004564686678349972]
+Labels: ['Mental Health']
+Scores: [5.3105628467164934e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9740078449249268]
+Labels: ['Diabetes type 2']
+Scores: [0.999756932258606]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39720175
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glycemic Control', 'Diabetes Mellitus, Type 2', 'Health Education', 'Glycated Hemoglobin', 'Blood Glucose', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8971648812294006]
+Labels: ['Diabetes']
+Scores: [0.9996390342712402]
+Labels: ['Cancer']
+Scores: [7.241264393087476e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.942635759012774e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004943636595271528]
+Labels: ['Mental Health']
+Scores: [7.857088348828256e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0009111624676734209]
+Labels: ['Diabetes type 2']
+Scores: [0.9994800090789795]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720174
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Periapical Periodontitis', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Male', 'Female', 'Middle Aged', 'Root Canal Therapy', 'Adult', 'Romania', 'Tooth, Nonvital', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.917980968952179]
+Labels: ['Diabetes']
+Scores: [0.9542438983917236]
+Labels: ['Cancer']
+Scores: [0.00036653733695857227]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014553575601894408]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016744737513363361]
+Labels: ['Mental Health']
+Scores: [6.891074008308351e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.010570979677140713]
+Labels: ['Diabetes type 2']
+Scores: [0.9970014095306396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719839
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'TNF-Related Apoptosis-Inducing Ligand', 'Diabetes Mellitus, Type 2', 'Periodontitis', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Gene Frequency', 'Genotype', 'Blood Glucose', 'Polymorphism, Genetic', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8919044733047485]
+Labels: ['Diabetes']
+Scores: [0.9979146718978882]
+Labels: ['Cancer']
+Scores: [0.007404165808111429]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015146066434681416]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004154182970523834]
+Labels: ['Mental Health']
+Scores: [5.479946776176803e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0004930813447572291]
+Labels: ['Diabetes type 2']
+Scores: [0.9976868033409119]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719724
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Synbiotics', 'Double-Blind Method', 'Male', 'Middle Aged', 'Female', 'Probiotics', 'Blood Glucose', 'Gastrointestinal Microbiome', 'Glycated Hemoglobin', 'Bifidobacterium animalis', 'Insulin Resistance', 'Treatment Outcome', 'Insulin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9858283996582031]
+Labels: ['Diabetes']
+Scores: [0.9993588924407959]
+Labels: ['Cancer']
+Scores: [4.1793879063334316e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010343416215619072]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020943798881489784]
+Labels: ['Mental Health']
+Scores: [7.793235999997705e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001275338145205751]
+Labels: ['Diabetes type 2']
+Scores: [0.9996928572654724]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719658
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Acute Kidney Injury', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Contrast Media', 'Aged', 'Coronary Angiography', 'Propensity Score', 'Percutaneous Coronary Intervention', 'Creatinine', 'China', 'Incidence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30990070104599]
+Labels: ['Diabetes']
+Scores: [0.9991752505302429]
+Labels: ['Cancer']
+Scores: [4.969393921783194e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.079034574213438e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9887048602104187]
+Labels: ['Mental Health']
+Scores: [3.735067366505973e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00015681635704822838]
+Labels: ['Diabetes type 2']
+Scores: [0.9997273087501526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719583
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Liraglutide', 'Sodium-Glucose Transporter 2 Inhibitors', 'Network Meta-Analysis', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Treatment Outcome', 'Glucosides', 'Glycated Hemoglobin', 'Blood Glucose', 'Glucagon-Like Peptide-2 Receptor', 'Gastric Inhibitory Polypeptide', 'Tirzepatide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8840928077697754]
+Labels: ['Diabetes']
+Scores: [0.9997576475143433]
+Labels: ['Cancer']
+Scores: [5.560798672377132e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.257733134087175e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005040721036493778]
+Labels: ['Mental Health']
+Scores: [6.198925257194787e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0007714341627433896]
+Labels: ['Diabetes type 2']
+Scores: [0.9997183084487915]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719404
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dipeptidyl-Peptidase IV Inhibitors', 'Male', 'Diabetes Mellitus, Type 2', 'Female', 'Middle Aged', 'Sodium-Glucose Transporter 2 Inhibitors', 'Retrospective Studies', 'Aged', 'Hong Kong', 'Treatment Outcome', 'Risk Factors', 'Risk Assessment', 'Myocardial Infarction', 'Thrombosis', 'Time Factors', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3373836278915405]
+Labels: ['Diabetes']
+Scores: [0.9994186758995056]
+Labels: ['Cancer']
+Scores: [6.693784962408245e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003109009994659573]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9997401237487793]
+Labels: ['Mental Health']
+Scores: [4.6008226490812376e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000265476614004001]
+Labels: ['Diabetes type 2']
+Scores: [0.9997093081474304]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719391
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Blood Glucose', 'Life Style', 'Exercise', 'Aged', 'Sleep', 'Hypoglycemic Agents', 'Follow-Up Studies', 'Precision Medicine', 'Adult', 'Biomarkers', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9172626733779907]
+Labels: ['Diabetes']
+Scores: [0.9998651742935181]
+Labels: ['Cancer']
+Scores: [4.38999013567809e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.055203266441822e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004989752778783441]
+Labels: ['Mental Health']
+Scores: [0.00010529013525228947]
+Labels: ['Diabetes type 1']
+Scores: [0.000580987602006644]
+Labels: ['Diabetes type 2']
+Scores: [0.9998586177825928]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719314
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Biomarkers', 'Black or African American', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glucose Clamp Technique', 'Glucose Tolerance Test', 'Incidence', 'Insulin', 'Insulin Resistance', 'Insulin Secretion', 'Parents', 'Prediabetic State', 'Prognosis', 'Prospective Studies', 'White']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9671462774276733]
+Labels: ['Diabetes']
+Scores: [0.9997791647911072]
+Labels: ['Cancer']
+Scores: [8.172870002454147e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.082431693561375e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022963913215789944]
+Labels: ['Mental Health']
+Scores: [5.8149522374151275e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.001082902541384101]
+Labels: ['Diabetes type 2']
+Scores: [0.9978604316711426]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719282
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Qualitative Research', 'Singapore', 'Telemedicine', 'Adult', 'Self Efficacy', 'Aged', 'Health Behavior', 'Asian People', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Blood Pressure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9930738806724548]
+Labels: ['Diabetes']
+Scores: [0.9989905953407288]
+Labels: ['Cancer']
+Scores: [4.051276118843816e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012800410331692547]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02069828473031521]
+Labels: ['Mental Health']
+Scores: [0.0042944480665028095]
+Labels: ['Diabetes type 1']
+Scores: [8.61023654579185e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.9996495246887207]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1316634565591812]
+Labels: ['Diabetes']
+Scores: [0.9996278882026672]
+Labels: ['Cancer']
+Scores: [5.201439853408374e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.576852319994941e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0032422123476862907]
+Labels: ['Mental Health']
+Scores: [5.6731736549409106e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0034948457032442093]
+Labels: ['Diabetes type 2']
+Scores: [0.03592367842793465]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9653757810592651]
+Labels: ['Diabetes']
+Scores: [0.9997605085372925]
+Labels: ['Cancer']
+Scores: [0.004652907606214285]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00010512131848372519]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7473399043083191]
+Labels: ['Mental Health']
+Scores: [4.6469009248539805e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011839321086881682]
+Labels: ['Diabetes type 2']
+Scores: [0.9995902180671692]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719170
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide-1 Receptor', 'Body Composition', 'Network Meta-Analysis as Topic', 'Obesity', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Receptors, Gastrointestinal Hormone', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031170524656772614]
+Labels: ['Diabetes']
+Scores: [0.9789935350418091]
+Labels: ['Cancer']
+Scores: [5.1330462156329304e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.891034768661484e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000140803589602001]
+Labels: ['Mental Health']
+Scores: [6.0734346334356815e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.15482091903686523]
+Labels: ['Diabetes type 2']
+Scores: [0.018877288326621056]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719165
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin-Secreting Cells', 'Male', 'Glucagon-Like Peptides', 'Mice', 'Gastrointestinal Microbiome', 'Mice, Inbred C57BL', 'Diabetes Mellitus, Type 2', 'Signal Transduction', 'Diabetes Mellitus, Experimental', 'Methyltransferases', 'Diet, High-Fat', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8596418499946594]
+Labels: ['Diabetes']
+Scores: [0.995754599571228]
+Labels: ['Cancer']
+Scores: [8.836505003273487e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00024342112010344863]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009425611351616681]
+Labels: ['Mental Health']
+Scores: [4.687530599767342e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003183764929417521]
+Labels: ['Diabetes type 2']
+Scores: [0.9994587302207947]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718468
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptides', 'Immunoglobulin Fc Fragments', 'Liver', 'Recombinant Fusion Proteins', 'Hypoglycemic Agents', 'Adult', 'Non-alcoholic Fatty Liver Disease', 'Aged', 'Glycated Hemoglobin', 'Blood Glucose', 'Cohort Studies', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01872449368238449]
+Labels: ['Diabetes']
+Scores: [0.9997053742408752]
+Labels: ['Cancer']
+Scores: [3.979901521233842e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.450569344451651e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016104604583233595]
+Labels: ['Mental Health']
+Scores: [4.2262741771992296e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0004551400779746473]
+Labels: ['Diabetes type 2']
+Scores: [0.020559757947921753]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718016
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Intra-Abdominal Fat', 'Subcutaneous Fat', 'Transcriptome', 'Gene Expression Profiling', 'Macrophages', 'Protein Interaction Maps']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8794041275978088]
+Labels: ['Diabetes']
+Scores: [0.9933382868766785]
+Labels: ['Cancer']
+Scores: [0.0004669830668717623]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00023212523956317455]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010029912926256657]
+Labels: ['Mental Health']
+Scores: [5.335507376003079e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.001922487746924162]
+Labels: ['Diabetes type 2']
+Scores: [0.9993603825569153]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9460607171058655]
+Labels: ['Diabetes']
+Scores: [0.1318180114030838]
+Labels: ['Cancer']
+Scores: [0.00010637746891006827]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00027753793983720243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6672545671463013]
+Labels: ['Mental Health']
+Scores: [4.7587727749487385e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0009554771240800619]
+Labels: ['Diabetes type 2']
+Scores: [0.339957058429718]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39717105
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Risk Factors', 'Gastrointestinal Diseases', 'Nomograms', 'Aged', 'Hypoglycemic Agents', 'Adult', 'Prognosis', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004932757467031479]
+Labels: ['Diabetes']
+Scores: [0.9981645345687866]
+Labels: ['Cancer']
+Scores: [6.927073991391808e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.459795935777947e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0022438678424805403]
+Labels: ['Mental Health']
+Scores: [5.9978290664730594e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.009879848919808865]
+Labels: ['Diabetes type 2']
+Scores: [0.9977337121963501]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716666
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Male', 'Female', 'Middle Aged', 'Latent Class Analysis', 'Prospective Studies', 'Aged', 'Exercise', 'Adult', 'Motivation', 'Singapore', 'Educational Status', 'Life Style', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02322070673108101]
+Labels: ['Diabetes']
+Scores: [0.9997667074203491]
+Labels: ['Cancer']
+Scores: [4.488174454309046e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.071980194770731e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.773829227313399e-05]
+Labels: ['Mental Health']
+Scores: [0.00018590925901662558]
+Labels: ['Diabetes type 1']
+Scores: [0.00021678688062820584]
+Labels: ['Diabetes type 2']
+Scores: [0.9995747208595276]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716481
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin Resistance', 'Heat-Shock Response', 'Male', 'Diet, High-Fat', 'Mice, Inbred C57BL', 'HSP70 Heat-Shock Proteins', 'Disease Progression', 'Blood Glucose', 'Mice', 'Hot Temperature', 'Early Diagnosis', 'Diabetes Mellitus, Type 2', 'Obesity', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9314364194869995]
+Labels: ['Diabetes']
+Scores: [0.272593230009079]
+Labels: ['Cancer']
+Scores: [0.00014217576244845986]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008361015934497118]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9951894283294678]
+Labels: ['Mental Health']
+Scores: [5.7807374105323106e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0018044204916805029]
+Labels: ['Diabetes type 2']
+Scores: [0.8633743524551392]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 2', 'Retinal Degeneration', 'Mice, Inbred C57BL', 'Male', 'Diabetic Retinopathy', 'Retina']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14390110969543457]
+Labels: ['Diabetes']
+Scores: [0.999642014503479]
+Labels: ['Cancer']
+Scores: [7.109982834663242e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.461756129283458e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003918823786079884]
+Labels: ['Mental Health']
+Scores: [0.00010745725012384355]
+Labels: ['Diabetes type 1']
+Scores: [9.626232349546626e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.9997320175170898]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716328
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dementia', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Network Meta-Analysis', 'Observational Studies as Topic', 'Randomized Controlled Trials as Topic', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9874024391174316]
+Labels: ['Diabetes']
+Scores: [0.9996702075004578]
+Labels: ['Cancer']
+Scores: [7.410410762531683e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.151201084023342e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06331472843885422]
+Labels: ['Mental Health']
+Scores: [0.00261655542999506]
+Labels: ['Diabetes type 1']
+Scores: [0.00092192308511585]
+Labels: ['Diabetes type 2']
+Scores: [0.9997625946998596]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9921892881393433]
+Labels: ['Diabetes']
+Scores: [0.0940038412809372]
+Labels: ['Cancer']
+Scores: [3.850790744763799e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.9715621571522206e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019208256155252457]
+Labels: ['Mental Health']
+Scores: [0.0003098828892689198]
+Labels: ['Diabetes type 1']
+Scores: [0.002497250447049737]
+Labels: ['Diabetes type 2']
+Scores: [0.051675211638212204]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0735546350479126]
+Labels: ['Diabetes']
+Scores: [0.948689877986908]
+Labels: ['Cancer']
+Scores: [0.00015338949742726982]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00029579931288026273]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9935339093208313]
+Labels: ['Mental Health']
+Scores: [6.342797132674605e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.007303418125957251]
+Labels: ['Diabetes type 2']
+Scores: [0.9930095672607422]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716230
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Gangrene', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Acupuncture, Ear', 'Wound Healing', 'Treatment Outcome', 'Amputation, Surgical', 'Acupuncture Points', 'Magnetic Field Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.817438542842865]
+Labels: ['Diabetes']
+Scores: [0.9997894167900085]
+Labels: ['Cancer']
+Scores: [8.610294753452763e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001542450045235455]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000708906794898212]
+Labels: ['Mental Health']
+Scores: [6.342770211631432e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00024498457787558436]
+Labels: ['Diabetes type 2']
+Scores: [0.0005240000900812447]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716081
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ferroptosis', 'Gene Regulatory Networks', 'Genetic Predisposition to Disease', 'Genomics', 'Male', 'Diabetes Complications', 'Female', 'Gene Expression Profiling', 'Polymorphism, Single Nucleotide', 'Computational Biology', 'Genetic Association Studies', 'Multiomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07368320971727371]
+Labels: ['Diabetes']
+Scores: [0.9995145797729492]
+Labels: ['Cancer']
+Scores: [0.00012508779764175415]
+Labels: ['Chronic respiratory disease']
+Scores: [5.5347580200759694e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003159987390972674]
+Labels: ['Mental Health']
+Scores: [4.017684841528535e-05]
+Labels: ['Diabetes type 1']
+Scores: [5.8861107390839607e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.999710738658905]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716056
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Bayes Theorem', 'Diabetes Mellitus, Type 2', 'Humans', 'Linear Models', 'Linkage Disequilibrium', 'Quantitative Trait Loci', 'Phenotype', 'Computer Simulation', 'Models, Genetic', 'Genome-Wide Association Study']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004314841644372791]
+Labels: ['Diabetes']
+Scores: [6.21629660599865e-05]
+Labels: ['Cancer']
+Scores: [7.920580537756905e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [8.715785224922001e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [6.227463745744899e-05]
+Labels: ['Mental Health']
+Scores: [8.934403012972325e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001251140929525718]
+Labels: ['Diabetes type 2']
+Scores: [0.00011179264402016997]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715944
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bariatric Surgery', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Glycemic Control', 'Hypoglycemic Agents', 'Obesity, Morbid', 'Recurrence', 'Remission Induction', 'Retrospective Studies', 'Treatment Outcome', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9540538191795349]
+Labels: ['Diabetes']
+Scores: [0.999860942363739]
+Labels: ['Cancer']
+Scores: [6.574839062523097e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [6.935511191841215e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00024078610294964164]
+Labels: ['Mental Health']
+Scores: [4.368903682916425e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.002368839690461755]
+Labels: ['Diabetes type 2']
+Scores: [0.9995902180671692]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.857628345489502]
+Labels: ['Diabetes']
+Scores: [0.9967126250267029]
+Labels: ['Cancer']
+Scores: [0.00020159427367616445]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012719140795525163]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9911672472953796]
+Labels: ['Mental Health']
+Scores: [0.0001346168719464913]
+Labels: ['Diabetes type 1']
+Scores: [0.9957457184791565]
+Labels: ['Diabetes type 2']
+Scores: [0.0053915479220449924]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[1, 3], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39715135
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Sulfonylurea Compounds', 'Iraq', 'Sulfonylurea Receptors', 'Case-Control Studies', 'Polymorphism, Single Nucleotide', 'Middle Aged', 'Hypoglycemic Agents', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9969499111175537]
+Labels: ['Diabetes']
+Scores: [0.9997639060020447]
+Labels: ['Cancer']
+Scores: [5.326793325366452e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004983046092092991]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013317293487489223]
+Labels: ['Mental Health']
+Scores: [6.564846262335777e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00013697630492970347]
+Labels: ['Diabetes type 2']
+Scores: [0.9995986223220825]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39713052
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Fatty Acids, Nonesterified', 'Coronary Disease', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031886566430330276]
+Labels: ['Diabetes']
+Scores: [0.9993475079536438]
+Labels: ['Cancer']
+Scores: [0.00011585639731492847]
+Labels: ['Chronic respiratory disease']
+Scores: [7.88672041380778e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9965925216674805]
+Labels: ['Mental Health']
+Scores: [3.9217324228957295e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0014881616225466132]
+Labels: ['Diabetes type 2']
+Scores: [0.9995794892311096]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710901
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.92994225025177]
+Labels: ['Diabetes']
+Scores: [0.9997912645339966]
+Labels: ['Cancer']
+Scores: [9.581627091392875e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013925325765740126]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8633820414543152]
+Labels: ['Mental Health']
+Scores: [5.600093209068291e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.013008156791329384]
+Labels: ['Diabetes type 2']
+Scores: [0.9996187686920166]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39710882
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Bone Density', 'Glucagon-Like Peptide-1 Receptor', 'Absorptiometry, Photon', 'Randomized Controlled Trials as Topic', 'Body Composition', 'Diabetes Mellitus, Type 2', 'Bayes Theorem', 'Female', 'Hypoglycemic Agents', 'Male', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9436613321304321]
+Labels: ['Diabetes']
+Scores: [0.014354591257870197]
+Labels: ['Cancer']
+Scores: [7.596326759085059e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.043759327032603e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [8.770996646489948e-05]
+Labels: ['Mental Health']
+Scores: [5.704883733415045e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0025697119999676943]
+Labels: ['Diabetes type 2']
+Scores: [0.0007702359580434859]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710722
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Middle Aged', 'Seasons', 'Aged', 'Metabolic Diseases', 'Calcifediol', 'Prospective Studies', 'Adult', 'Renal Insufficiency, Chronic', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8752154111862183]
+Labels: ['Diabetes']
+Scores: [0.9994000196456909]
+Labels: ['Cancer']
+Scores: [8.73228200362064e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.678504749084823e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19157913327217102]
+Labels: ['Mental Health']
+Scores: [6.603908695979044e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000497877539601177]
+Labels: ['Diabetes type 2']
+Scores: [0.9995322227478027]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710638
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Risk Factors', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Young Adult', 'Diabetes Mellitus, Type 2', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6584887504577637]
+Labels: ['Diabetes']
+Scores: [0.9994133710861206]
+Labels: ['Cancer']
+Scores: [7.470615673810244e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.488467235816643e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021953305986244231]
+Labels: ['Mental Health']
+Scores: [0.00017042084073182195]
+Labels: ['Diabetes type 1']
+Scores: [0.2140434980392456]
+Labels: ['Diabetes type 2']
+Scores: [0.9247094988822937]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12608641386032104]
+Labels: ['Diabetes']
+Scores: [0.9997953176498413]
+Labels: ['Cancer']
+Scores: [5.595723632723093e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001884216908365488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012341981346253306]
+Labels: ['Mental Health']
+Scores: [7.08869265508838e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0016576624475419521]
+Labels: ['Diabetes type 2']
+Scores: [0.016982564702630043]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710013
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Case-Control Studies', 'Female', 'Male', 'Adolescent', 'Pediatric Obesity', 'Feces', 'Diabetes Mellitus, Type 2', 'Birth Cohort', 'Bacteroides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010782170109450817]
+Labels: ['Diabetes']
+Scores: [6.562849739566445e-05]
+Labels: ['Cancer']
+Scores: [9.213274461217225e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016068975673988461]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019879493629559875]
+Labels: ['Mental Health']
+Scores: [0.00011813336459454149]
+Labels: ['Diabetes type 1']
+Scores: [4.267130498192273e-05]
+Labels: ['Diabetes type 2']
+Scores: [4.404709397931583e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710002
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Genome-Wide Association Study', 'Frailty', 'Genetic Pleiotropy', 'Muscle, Skeletal', 'Comorbidity', 'Polymorphism, Single Nucleotide', 'Female', 'Male', 'Phenotype', 'Aged', 'Genetic Predisposition to Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9896253943443298]
+Labels: ['Diabetes']
+Scores: [0.9998005628585815]
+Labels: ['Cancer']
+Scores: [7.711650687269866e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [5.785016037407331e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005885556456632912]
+Labels: ['Mental Health']
+Scores: [0.00018094188999384642]
+Labels: ['Diabetes type 1']
+Scores: [7.206061127362773e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.9997941255569458]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Cognition', 'Cognitive Dysfunction', 'Diabetes Mellitus, Type 2', 'Dipeptidyl-Peptidase IV Inhibitors', 'Drug Therapy, Combination', 'Hypoglycemic Agents', 'Metabolomics', 'Metformin', 'Prospective Studies', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9878847599029541]
+Labels: ['Diabetes']
+Scores: [0.9993664026260376]
+Labels: ['Cancer']
+Scores: [0.00013027786917518824]
+Labels: ['Chronic respiratory disease']
+Scores: [7.946461846586317e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00463074678555131]
+Labels: ['Mental Health']
+Scores: [0.0002659301972016692]
+Labels: ['Diabetes type 1']
+Scores: [0.11513125151395798]
+Labels: ['Diabetes type 2']
+Scores: [0.9997370839118958]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709924
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'Diet, High-Fat', 'Male', 'Kidney', 'Diabetic Nephropathies', 'Gastrointestinal Microbiome', 'Dysbiosis', 'Isothiocyanates', 'Humans', 'Mice, Inbred C57BL', 'Protective Agents', 'Blood Glucose', 'Streptozocin', 'Sulfoxides', 'Diabetes Mellitus, Type 2', 'Raphanus', 'Oxidative Stress', 'Bacteria', 'Superoxide Dismutase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022804049775004387]
+Labels: ['Diabetes']
+Scores: [0.30396637320518494]
+Labels: ['Cancer']
+Scores: [0.0001320346782449633]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00040957421879284084]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000681594421621412]
+Labels: ['Mental Health']
+Scores: [5.691118713002652e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0011584850726649165]
+Labels: ['Diabetes type 2']
+Scores: [0.9271481037139893]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21962697803974152]
+Labels: ['Diabetes']
+Scores: [0.08640068024396896]
+Labels: ['Cancer']
+Scores: [0.9997676014900208]
+Labels: ['Chronic respiratory disease']
+Scores: [8.723634527996182e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9883837103843689]
+Labels: ['Mental Health']
+Scores: [5.4067131713964045e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.021261323243379593]
+Labels: ['Diabetes type 2']
+Scores: [0.9357412457466125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709519
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Polycystic Ovary Syndrome', 'Female', 'MicroRNAs', 'Biomarkers', 'Metabolic Diseases', 'Insulin Resistance', 'Non-alcoholic Fatty Liver Disease', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01727921888232231]
+Labels: ['Diabetes']
+Scores: [0.0010910786222666502]
+Labels: ['Cancer']
+Scores: [0.0001191042538266629]
+Labels: ['Chronic respiratory disease']
+Scores: [7.64239885029383e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.046004727482795715]
+Labels: ['Mental Health']
+Scores: [4.46545600425452e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0002912718919105828]
+Labels: ['Diabetes type 2']
+Scores: [0.0030236756429076195]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8606678247451782]
+Labels: ['Diabetes']
+Scores: [0.9997717142105103]
+Labels: ['Cancer']
+Scores: [4.4729607907356694e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015233602607622743]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9993615746498108]
+Labels: ['Mental Health']
+Scores: [4.282224108465016e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0006276541971601546]
+Labels: ['Diabetes type 2']
+Scores: [0.9997127652168274]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709342
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Aged', 'Blood Glucose', 'Chronic Pain', 'Middle Aged', 'Pain Measurement', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9169567227363586]
+Labels: ['Diabetes']
+Scores: [0.995205283164978]
+Labels: ['Cancer']
+Scores: [5.399673682404682e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [4.850355617236346e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007020099437795579]
+Labels: ['Mental Health']
+Scores: [6.970665708649904e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0001457016624044627]
+Labels: ['Diabetes type 2']
+Scores: [0.998639702796936]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9582189321517944]
+Labels: ['Diabetes']
+Scores: [0.0004735381226055324]
+Labels: ['Cancer']
+Scores: [0.00012853955558966845]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001392704580212012]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9923480153083801]
+Labels: ['Mental Health']
+Scores: [6.434196257032454e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.00011341577192069963]
+Labels: ['Diabetes type 2']
+Scores: [0.00020531215704977512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+Time to classify all articles: 2155.874876499176 seconds
+Result confusion matrix: [[683, 675], [286, 4756]]
+True Positive Rate (TPR): 0.7048503611971104
+True Negative Rate (TNR): 0.8757134965936292
+Precision: 0.5029455081001473
diff --git a/model/results/zero_shot/v1/MoritzLaurer-multilingual_MiniLMv2_L6_mnli_xnli.txt b/model/results/zero_shot/v1/MoritzLaurer-multilingual_MiniLMv2_L6_mnli_xnli.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7b804ad633f3ab1a6a67644fca391416463018f7
--- /dev/null
+++ b/model/results/zero_shot/v1/MoritzLaurer-multilingual_MiniLMv2_L6_mnli_xnli.txt
@@ -0,0 +1,20009 @@
+---------------------------------
+MODEL: MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli
+TRESHOLD: 0.7
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6301668286323547]
+Labels: ['Diabetes']
+Scores: [0.5327786207199097]
+Labels: ['Cancer']
+Scores: [0.550390899181366]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5346488356590271]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5492570996284485]
+Labels: ['Mental Health']
+Scores: [0.5402253866195679]
+Labels: ['Diabetes type 1']
+Scores: [0.520261824131012]
+Labels: ['Diabetes type 2']
+Scores: [0.5185268521308899]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737504
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Stem Cell Transplantation', 'Cell- and Tissue-Based Therapy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2722458839416504]
+Labels: ['Diabetes']
+Scores: [0.24558740854263306]
+Labels: ['Cancer']
+Scores: [0.24772176146507263]
+Labels: ['Chronic respiratory disease']
+Scores: [0.26181817054748535]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2599489688873291]
+Labels: ['Mental Health']
+Scores: [0.24961157143115997]
+Labels: ['Diabetes type 1']
+Scores: [0.2595977783203125]
+Labels: ['Diabetes type 2']
+Scores: [0.2586368918418884]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736607
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors', 'Employment', 'Socioeconomic Factors', 'Poverty', 'Universal Health Insurance', 'Cost of Illness']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.52801114320755]
+Labels: ['Diabetes']
+Scores: [0.09263124316930771]
+Labels: ['Cancer']
+Scores: [0.1374981850385666]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1369202435016632]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16263602674007416]
+Labels: ['Mental Health']
+Scores: [0.10538696497678757]
+Labels: ['Diabetes type 1']
+Scores: [0.07949214428663254]
+Labels: ['Diabetes type 2']
+Scores: [0.08553365617990494]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732655
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Machine Learning', 'Bias', 'Population Health', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8495400547981262]
+Labels: ['Diabetes']
+Scores: [0.026336463168263435]
+Labels: ['Cancer']
+Scores: [0.06762386858463287]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06506820023059845]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10804823786020279]
+Labels: ['Mental Health']
+Scores: [0.06438276171684265]
+Labels: ['Diabetes type 1']
+Scores: [0.02049359679222107]
+Labels: ['Diabetes type 2']
+Scores: [0.023824619129300117]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731009
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8250111937522888]
+Labels: ['Diabetes']
+Scores: [0.015509008429944515]
+Labels: ['Cancer']
+Scores: [0.04481028392910957]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03014320693910122]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05035017430782318]
+Labels: ['Mental Health']
+Scores: [0.05432477220892906]
+Labels: ['Diabetes type 1']
+Scores: [0.014641444198787212]
+Labels: ['Diabetes type 2']
+Scores: [0.01498763170093298]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725416
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'New Zealand', 'Cross-Sectional Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Adult', 'Comorbidity', 'Censuses', 'Adolescent', 'Young Adult', 'Aged, 80 and over', 'Prevalence', 'Child', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7290186882019043]
+Labels: ['Diabetes']
+Scores: [0.01951012760400772]
+Labels: ['Cancer']
+Scores: [0.03969769552350044]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05681357532739639]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11278484016656876]
+Labels: ['Mental Health']
+Scores: [0.027718299999833107]
+Labels: ['Diabetes type 1']
+Scores: [0.009517839178442955]
+Labels: ['Diabetes type 2']
+Scores: [0.009518456645309925]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722627
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5061818361282349]
+Labels: ['Diabetes']
+Scores: [0.39341306686401367]
+Labels: ['Cancer']
+Scores: [0.43471887707710266]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23899923264980316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30342602729797363]
+Labels: ['Mental Health']
+Scores: [0.15665839612483978]
+Labels: ['Diabetes type 1']
+Scores: [0.4631864130496979]
+Labels: ['Diabetes type 2']
+Scores: [0.5146856904029846]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709790
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['NF-E2-Related Factor 2', 'Humans', 'Animals', 'Noncommunicable Diseases', 'Oxidative Stress', 'Reactive Oxygen Species', 'Oxidation-Reduction', 'Disease Models, Animal', 'Inflammation', 'Gene Expression Regulation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6460457444190979]
+Labels: ['Diabetes']
+Scores: [0.6814097762107849]
+Labels: ['Cancer']
+Scores: [0.682129979133606]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6716843247413635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6795634627342224]
+Labels: ['Mental Health']
+Scores: [0.6634426712989807]
+Labels: ['Diabetes type 1']
+Scores: [0.6883708238601685]
+Labels: ['Diabetes type 2']
+Scores: [0.6869363188743591]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702198
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'India', 'Middle Aged', 'Aged, 80 and over', 'Noncommunicable Diseases', 'Cost of Illness', 'Disability-Adjusted Life Years', 'Sex Factors', 'Age Factors', 'Global Burden of Disease', 'Wounds and Injuries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06948757916688919]
+Labels: ['Diabetes']
+Scores: [0.009099239483475685]
+Labels: ['Cancer']
+Scores: [0.027796514332294464]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02049275115132332]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03928143531084061]
+Labels: ['Mental Health']
+Scores: [0.04283485561609268]
+Labels: ['Diabetes type 1']
+Scores: [0.010294433683156967]
+Labels: ['Diabetes type 2']
+Scores: [0.009739008732140064]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699459
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Brazil', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Chronic Disease', 'Noncommunicable Diseases', 'Prevalence', 'Health Surveys', 'Young Adult', 'Adolescent', 'Sex Distribution', 'Socioeconomic Factors', 'Cost of Illness', 'Multimorbidity', 'Sociodemographic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8659489750862122]
+Labels: ['Diabetes']
+Scores: [0.0112912617623806]
+Labels: ['Cancer']
+Scores: [0.041788432747125626]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027672303840517998]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05854851007461548]
+Labels: ['Mental Health']
+Scores: [0.031289368867874146]
+Labels: ['Diabetes type 1']
+Scores: [0.008713268674910069]
+Labels: ['Diabetes type 2']
+Scores: [0.009894083254039288]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697299
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Multimorbidity', 'Noncommunicable Diseases', 'Health Expenditures', 'Prevalence', 'Aged', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9141193628311157]
+Labels: ['Diabetes']
+Scores: [0.04620026424527168]
+Labels: ['Cancer']
+Scores: [0.11660827696323395]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10535929352045059]
+Labels: ['Cardiovascular diseases']
+Scores: [0.18275274336338043]
+Labels: ['Mental Health']
+Scores: [0.15211784839630127]
+Labels: ['Diabetes type 1']
+Scores: [0.039969466626644135]
+Labels: ['Diabetes type 2']
+Scores: [0.043456558138132095]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696316
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Thailand', 'Humans', 'Noncommunicable Diseases', 'Stakeholder Participation', 'Health Policy', 'Sustainable Development', 'Intersectoral Collaboration', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1308959424495697]
+Labels: ['Diabetes']
+Scores: [0.05903510004281998]
+Labels: ['Cancer']
+Scores: [0.09780559688806534]
+Labels: ['Chronic respiratory disease']
+Scores: [0.042607974261045456]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06540553271770477]
+Labels: ['Mental Health']
+Scores: [0.13268639147281647]
+Labels: ['Diabetes type 1']
+Scores: [0.04107183218002319]
+Labels: ['Diabetes type 2']
+Scores: [0.045831192284822464]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696309
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04430327191948891]
+Labels: ['Diabetes']
+Scores: [0.025692051276564598]
+Labels: ['Cancer']
+Scores: [0.00862743891775608]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005614562425762415]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03477899730205536]
+Labels: ['Mental Health']
+Scores: [0.019260946661233902]
+Labels: ['Diabetes type 1']
+Scores: [0.14438453316688538]
+Labels: ['Diabetes type 2']
+Scores: [0.1480179727077484]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8908758163452148]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.015290905721485615]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693027
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8209460377693176]
+Labels: ['Diabetes']
+Scores: [0.8101702928543091]
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.8067553043365479]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39683555
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Female', 'Italy', 'Exercise', 'Feeding Behavior', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Knowledge, Attitudes, Practice', 'Young Adult', 'Child', 'Adolescent Behavior', 'Surveys and Questionnaires', 'Health Risk Behaviors', 'Risk-Taking', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5727028846740723]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.09834044426679611]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.024054093286395073]
+Labels: ['Diabetes type 2']
+Scores: [0.026186758652329445]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6209924817085266]
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+Scores: [0.00613674521446228]
+Labels: ['Cancer']
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+Scores: [0.009686597622931004]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004270830191671848]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6217703223228455]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.047897081822156906]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8955962061882019]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.006022219080477953]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0032439979258924723]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39658798
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Translational Research, Biomedical', 'Humans', 'Ethiopia', 'Capacity Building', 'Decision Making', 'Research Personnel', 'Public Health', 'Malawi', 'Uganda', 'Noncommunicable Diseases', 'Cooperative Behavior', 'South Africa', 'Delivery of Health Care', 'Africa', 'Rwanda', 'Administrative Personnel', 'Focus Groups', 'Surveys and Questionnaires', 'Evidence-Based Practice', 'Qualitative Research', 'Health Policy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0074712662026286125]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0035071372985839844]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006017340812832117]
+Labels: ['Mental Health']
+Scores: [0.013333584181964397]
+Labels: ['Diabetes type 1']
+Scores: [0.003000838216394186]
+Labels: ['Diabetes type 2']
+Scores: [0.003159944200888276]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39655600
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'White People', 'Female', 'Male', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Risk Factors', 'Black People', 'Africa South of the Sahara', 'Europe', 'Renal Insufficiency, Chronic', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Scores: [0.07435958832502365]
+Labels: ['Mental Health']
+Scores: [0.03299913927912712]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.016448618844151497]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653570
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Medication Adherence', 'Thailand', 'Islam', 'Middle Aged', 'Noncommunicable Diseases', 'Rural Population', 'Adult', 'Focus Groups', 'Qualitative Research', 'Aged', 'Health Knowledge, Attitudes, Practice', 'Southeast Asian People', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39653567
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Developing Countries', 'Noncommunicable Diseases', 'Research Design', 'Stakeholder Participation', 'Implementation Science', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8973077535629272]
+Labels: ['Diabetes']
+Scores: [0.0016356338746845722]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0015189261175692081]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39645277
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Chronic Disease', 'Diet, Western', 'Gastrointestinal Microbiome', 'Inflammation', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39644320
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delivery of Health Care', 'Russia', 'Primary Health Care', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8855872750282288]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.10902559757232666]
+Labels: ['Diabetes type 2']
+Scores: [0.1114862710237503]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644303
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Exercise', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7841938734054565]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.5636587738990784]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632114
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delphi Technique', 'Precision Medicine', 'Noncommunicable Diseases', 'Consensus', 'Female', 'Australia', 'Pregnancy', 'Adult', 'Male', 'Mass Screening', 'Middle Aged', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7136285305023193]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.025093795731663704]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625743
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Surveys and Questionnaires', 'Reproducibility of Results', 'Multicenter Studies as Topic', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8908647894859314]
+Labels: ['Diabetes']
+Scores: [0.004805571399629116]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0034609544090926647]
+Labels: ['Diabetes type 2']
+Scores: [0.0031626492273062468]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622542
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Kenya', 'Food Insecurity', 'Male', 'Female', 'HIV Infections', 'Adult', 'Health Services Accessibility', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Middle Aged', 'Comorbidity', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9302187561988831]
+Labels: ['Diabetes']
+Scores: [0.10962393134832382]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.33552390336990356]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.16665388643741608]
+Labels: ['Diabetes type 1']
+Scores: [0.12666557729244232]
+Labels: ['Diabetes type 2']
+Scores: [0.1527438908815384]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39613439
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Systematic Reviews as Topic', 'Sedentary Behavior', 'Meta-Analysis as Topic', 'Prevalence', 'Risk Factors', 'Exercise', 'Adult', 'Africa, Eastern', 'Research Design', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.007211901247501373]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Scores: [0.0023725158534944057]
+Labels: ['Diabetes type 2']
+Scores: [0.0025435155257582664]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39602608
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Mexico', 'Cost of Illness', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Healthy Aging', 'Mortality', 'Life Expectancy', 'Prevalence', 'Incidence', 'Humans', 'Male', 'Female', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Delivery of Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595773
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Tanzania', 'Humans', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Adult', 'Rural Population', 'Aged', 'Young Adult', 'Politics', 'Adolescent', 'Treatment Adherence and Compliance', 'Patient Compliance']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.13330700993537903]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595772
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Refugees', 'Male', 'Female', 'Risk Factors', 'Adult', 'Portugal', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Young Adult', 'Prevalence', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592985
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Pregnancy', 'Noncommunicable Diseases', 'Middle Aged', 'Prospective Studies', 'Adolescent', 'Male', 'Young Adult', 'Aged', 'Multimorbidity', 'Prenatal Exposure Delayed Effects', 'Aged, 80 and over', 'Smoking', 'Chronic Disease']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Exercise', 'Aged', 'Noncommunicable Diseases', 'Randomized Controlled Trials as Topic', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18710289895534515]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.0838310718536377]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.25102949142456055]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39589015
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Male', 'Female', 'South Africa', 'Longitudinal Studies', 'Adult', 'Middle Aged', 'Depressive Disorder, Major', 'Communicable Diseases', 'Mediation Analysis', 'Comorbidity', 'Causality', 'Aged', 'Monte Carlo Method', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0943053662776947]
+Labels: ['Diabetes type 2']
+Scores: [0.09915275126695633]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39584432
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Noncommunicable Diseases', 'Digital Technology', 'Middle East', 'Telemedicine', 'Mediterranean Region', 'Pandemics', 'SARS-CoV-2', 'Delivery of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7711758613586426]
+Labels: ['Diabetes']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39563350
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'England', 'Adult', 'Male', 'Middle Aged', 'Schools', 'Female', 'Obesity', 'Public Health', 'Fast Foods', 'Body Mass Index', 'Cross-Sectional Studies', 'Health Care Costs', 'Restaurants', 'Noncommunicable Diseases', 'Quality-Adjusted Life Years', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552939
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Noncommunicable Diseases', 'HIV Infections', 'Delivery of Health Care, Integrated']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36787983775138855]
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552340
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Qualitative Research', 'Health Policy', 'Policy Making', 'Stakeholder Participation', 'Interviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8213527798652649]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.7748494148254395]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39548534
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ghana', 'Noncommunicable Diseases', 'Health Policy', 'World Health Organization', 'Focus Groups', 'Stakeholder Participation', 'Policy Making', 'Administrative Personnel', 'Qualitative Research', 'Public Health', 'Health Promotion', 'Health Plan Implementation']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39541160
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Primary Health Care', 'Female', 'Male', 'Hypertension', 'Noncommunicable Diseases', 'Diabetes Mellitus, Type 2', 'Ghana', 'Adult', 'Middle Aged', 'Delivery of Health Care, Integrated', 'Quality Improvement', 'Depression', 'Mental Health Services', 'Anxiety', 'Mental Disorders', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30659088492393494]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39530940
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Cardiovascular Diseases', 'Secondary Prevention']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.7265591621398926]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 5], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39522888
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'China', 'Noncommunicable Diseases', 'Aged', 'Middle Aged', 'Male', 'Female', 'Incidence', 'Aged, 80 and over', 'Disability-Adjusted Life Years', 'Health Priorities', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.06447506695985794]
+Labels: ['Diabetes type 2']
+Scores: [0.06186657026410103]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39515219
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Body Mass Index', 'Child', 'Female', 'Pediatric Obesity', 'Victoria', 'COVID-19', 'Health Behavior', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014197563752532005]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.016341255977749825]
+Labels: ['Diabetes type 2']
+Scores: [0.01858101226389408]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39514466
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Exercise', 'Noncommunicable Diseases', 'Health Promotion', 'Healthy Lifestyle', 'Perception', 'Life Style']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6067952513694763]
+Labels: ['Diabetes']
+Scores: [0.06993997097015381]
+Labels: ['Cancer']
+Scores: [0.10193298012018204]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10261815041303635]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.06416075676679611]
+Labels: ['Diabetes type 1']
+Scores: [0.04964054003357887]
+Labels: ['Diabetes type 2']
+Scores: [0.0538252554833889]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39511525
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Behavior Therapy', 'Health Promotion', 'Life Style', 'Noncommunicable Diseases', 'Systematic Reviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8989123702049255]
+Labels: ['Diabetes']
+Scores: [0.0026079569943249226]
+Labels: ['Cancer']
+Scores: [0.006421885918825865]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0021644136868417263]
+Labels: ['Diabetes type 2']
+Scores: [0.0023872312158346176]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39496368
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Dyslipidemias', 'Adult', 'Cross-Sectional Studies', 'Aged', 'Prevalence', 'Sex Factors', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Cohort Studies', 'Age Factors', 'Social Class', 'Health Status Disparities', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3230223059654236]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.05842488631606102]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494478
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Risk Factors', 'Cardiovascular Diseases', 'Periodontal Diseases', 'Periodontitis', 'Disease Susceptibility', 'Noncommunicable Diseases', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8987175226211548]
+Labels: ['Diabetes']
+Scores: [0.88758784532547]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8942169547080994]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.8887180685997009]
+Labels: ['Diabetes type 1']
+Scores: [0.8722118139266968]
+Labels: ['Diabetes type 2']
+Scores: [0.8738078474998474]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39478581
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Male', 'Exercise', 'Female', 'Middle Aged', 'Young Adult', 'Africa', 'Adolescent', 'Aged', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Leisure Activities', 'Sociodemographic Factors', 'Surveys and Questionnaires', 'Sex Factors', 'Educational Status']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19649872183799744]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.1063878983259201]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.09764384478330612]
+Labels: ['Diabetes type 1']
+Scores: [0.05031813308596611]
+Labels: ['Diabetes type 2']
+Scores: [0.05967498570680618]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39478517
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Prospective Studies', 'Diet', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07082704454660416]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.029992401599884033]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
+Scores: [0.020095814019441605]
+Labels: ['Diabetes type 2']
+Scores: [0.020665114745497704]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39460821
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ukraine', 'Retrospective Studies', 'Aged', 'Persons with Disabilities', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over', 'Cardiovascular Diseases', 'Armed Conflicts', 'Neoplasms', 'Eastern European People']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458499
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Liver Diseases', 'Probiotics', 'Chronic Disease', 'Noncommunicable Diseases', 'Risk Factors', 'Dietary Fiber', 'Polyphenols', 'Food Ingredients', 'Diet', 'Spices', 'Fatty Acids, Omega-3', 'Dietary Supplements']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7577205300331116]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.5209022760391235]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.4934726059436798]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39458490
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Biodiversity', 'One Health', 'Diet, Healthy', 'Interdisciplinary Research', 'Noncommunicable Diseases', 'Diet, Vegetarian', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0073452056385576725]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.001530549954622984]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39458487
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Bibliometrics', 'Humans', 'Food Labeling', 'Beverages', 'Global Health', 'Nutrition Policy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008051341399550438]
+Labels: ['Diabetes']
+Scores: [0.005280327517539263]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.011912885122001171]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.004809338599443436]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39449123
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Life Style', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Inflammatory Bowel Diseases', 'Adult', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Inflammation', 'Age of Onset', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9008284211158752]
+Labels: ['Diabetes']
+Scores: [0.1183357983827591]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.2204921394586563]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19270426034927368]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39438053
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Thailand', 'Noncommunicable Diseases', 'Delivery of Health Care', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7526058554649353]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.7546228170394897]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39437825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Germany', 'Communicable Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6855138540267944]
+Labels: ['Diabetes']
+Scores: [0.5024307370185852]
+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437462
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Emotions', 'Physician-Patient Relations', 'Communication', 'Decision Making', 'Noncommunicable Diseases', 'Informed Consent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6378781795501709]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436669
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Health Policy', 'Policy Making', 'Administrative Personnel', 'Noncommunicable Diseases', 'Developing Countries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6338793039321899]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.32327282428741455]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39432502
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Tuberculosis, Pulmonary', 'Noncommunicable Diseases', 'Gene Regulatory Networks', 'Lung Neoplasms', 'Silicosis', 'Protein Interaction Maps', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8166670799255371]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.038750387728214264]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39426077
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Brazil', 'Obesity', 'Male', 'Female', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Hospitalization', 'Body Mass Index', 'Sick Leave', 'Prevalence', 'Cost of Illness', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09181224554777145]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.005255387630313635]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39421825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Prevalence', 'Incidence', 'Global Health', 'Male', 'Global Burden of Disease', 'Data Analysis', 'World Health Organization', 'Secondary Data Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8381977677345276]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.3510284423828125]
+Labels: ['Mental Health']
+Scores: [0.08699505031108856]
+Labels: ['Diabetes type 1']
+Scores: [0.090726338326931]
+Labels: ['Diabetes type 2']
+Scores: [0.10104053467512131]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39418781
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Female', 'Male', 'Case-Control Studies', 'Middle Aged', 'Adult', 'Occupations', 'Databases, Factual', 'Occupational Exposure', 'Risk Factors', 'Noncommunicable Diseases', 'Myocardial Infarction', 'Sitting Position', 'Diabetes Mellitus', 'Aged', 'Workplace']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009711720049381256]
+Labels: ['Diabetes']
+Scores: [0.011313281953334808]
+Labels: ['Cancer']
+Scores: [0.03196218982338905]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013291007839143276]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.008215530775487423]
+Labels: ['Diabetes type 1']
+Scores: [0.004583744332194328]
+Labels: ['Diabetes type 2']
+Scores: [0.005665846634656191]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418779
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Europe', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Adolescent', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult', 'Global Burden of Disease', 'Child', 'Infant', 'Cost of Illness', 'Child, Preschool', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.06438339501619339]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.037854574620723724]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418251
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Obesity', 'Hypertension', 'Motivation', 'Risk Factors', 'Hyperlipidemias', 'Iran', 'Overweight', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.01664355956017971]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39416942
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Information Dissemination', 'Translational Research, Biomedical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8370084762573242]
+Labels: ['Diabetes']
+Scores: [0.003554187947884202]
+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39411832
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Inflammation', 'Diet', 'Anti-Inflammatory Agents', 'Obesity', 'Chronic Disease', 'Diabetes Mellitus, Type 2', 'Fruit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9201319813728333]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.9169045090675354]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39408274
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malus', 'Noncommunicable Diseases', 'Fruit', 'Nutritive Value', 'Diet', 'Diet, Healthy']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39408232
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Biological Products', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.13235120475292206]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39407160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Nepal', 'Humans', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Services Accessibility', 'Health Care Surveys', 'Health Facilities', 'Female', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6668193936347961]
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39404094
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fibrinolytic Agents', 'Subtilisins', 'Antioxidants', 'Oxidative Stress', 'Anti-Inflammatory Agents', 'Animals', 'Inflammation', 'Cardiovascular Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394102
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Communication Barriers', 'Aged', 'Rural Population', 'South Africa', 'Middle Aged', 'Qualitative Research', 'Interviews as Topic', 'Health Knowledge, Attitudes, Practice', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39391944
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Noncommunicable Diseases', 'Middle Aged', 'Cross-Sectional Studies', 'Prevalence', 'Chronic Disease', 'Beverages', 'Obesity', 'Aged', 'Neoplasms', 'Hypercholesterolemia', 'Young Adult', 'Diet', 'Alcoholic Beverages', 'Feeding Behavior']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39390457
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Satellite Imagery', 'Cardiovascular Diseases', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5600858926773071]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39388415
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Alcohol Drinking', 'Exercise', 'Meta-Analysis as Topic', 'Noncommunicable Diseases', 'Prevalence', 'Risk Factors', 'Systematic Reviews as Topic', 'Tobacco Use']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39386956
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Guyana', 'Humans', 'Noncommunicable Diseases', 'Qualitative Research', 'Health Policy', 'Government', 'Policy Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9027994275093079]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39379988
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Aged', 'Body Mass Index', 'Cardiovascular Diseases', 'China', 'Neoplasms', 'Age Factors', 'Cause of Death', 'Cohort Studies', 'Proportional Hazards Models', 'Weight Loss', 'Weight Gain', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39374955
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Research', 'Health Priorities', 'Biomedical Research']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369417
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Tertiary Care Centers', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Nepal', 'Health Knowledge, Attitudes, Practice', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.44949871301651]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.005452428478747606]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369183
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Female', 'Male', 'Aged', 'Asia, Central', 'Adult', 'Europe, Eastern', 'Noncommunicable Diseases', 'Mortality, Premature', 'Global Health', 'Global Burden of Disease', 'Cardiovascular Diseases', 'Neoplasms', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [4, 4]]
+---------------------------------
+---------------------------------
+PMID: 39368120
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Middle Aged', 'Adult', 'Male', 'Female', 'Noncommunicable Diseases', 'Natural Language Processing', 'Prevalence', 'Retrospective Studies', 'Hypertension', 'Aged', 'Adolescent', 'Young Adult', 'Diabetes Mellitus', 'Electronic Health Records', 'Obesity', 'Multimorbidity', 'Dyslipidemias', 'Mental Disorders', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39367295
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['India', 'Humans', 'Primary Health Care', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Comprehensive Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39365121
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Dental Research']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
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+---------------------------------
+---------------------------------
+PMID: 39363978
+Predictions: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39356704
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Nepal', 'Adolescent', 'Middle Aged', 'Risk Factors', 'Young Adult', 'Hypertension', 'Obesity', 'Smoking', 'Prevalence', 'Overweight', 'Cluster Analysis', 'Noncommunicable Diseases', 'Health Surveys']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
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+---------------------------------
+---------------------------------
+PMID: 39352154
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malaysia', 'Female', 'Male', 'Adult', 'Cross-Sectional Studies', 'Health Knowledge, Attitudes, Practice', 'Noncommunicable Diseases', 'Middle Aged', 'Young Adult', 'Indigenous Peoples', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352096
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet', 'Obesity', 'Dysbiosis', 'Diabetes Mellitus, Type 2', 'Czech Republic', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39344941
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Mass Screening', 'Cardiovascular Diseases', 'Oral Health', 'Diabetes Mellitus', 'United Kingdom']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39342408
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Mexico', 'Female', 'Male', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Ambulatory Care', 'Cross-Sectional Studies', 'Young Adult', 'Aged', 'Sex Factors', 'Healthcare Disparities']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39342100
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Female', 'Male', 'Qualitative Research', 'Fisheries', 'Adult', 'Middle Aged', 'Delayed Diagnosis', 'Patient Acceptance of Health Care', 'Interviews as Topic', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39339734
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet, Mediterranean', 'Dysbiosis', 'Diet, Western', 'Diet, Vegetarian', 'Diet', 'Methylamines', 'Fatty Acids, Volatile']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338107
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Sex Factors', 'Longitudinal Studies', 'Young Adult', 'Health Surveys', 'Prevalence', 'Socioeconomic Factors', 'Adolescent', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338026
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Developing Countries', 'Economic Development']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39334103
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Metabolic Syndrome', 'Female', 'Male', 'Aged', 'Cross-Sectional Studies', 'Thailand', 'Multilevel Analysis', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39333314
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Wounds and Injuries', 'Female', 'Male', 'Neoplasms', 'Cardiovascular Diseases', 'Cause of Death', 'Global Health']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 5], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39324155
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ethiopia', 'Male', 'Female', 'Adult', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Belief Model', 'Middle Aged', 'Health Behavior', 'Surveys and Questionnaires', 'Health Promotion', 'Young Adult', 'Health Knowledge, Attitudes, Practice', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.08479306101799011]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39308827
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Thailand', 'Particulate Matter', 'Noncommunicable Diseases', 'Female', 'Male', 'Air Pollutants', 'Environmental Exposure', 'Air Pollution', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8917309641838074]
+Labels: ['Diabetes']
+Scores: [0.11362157762050629]
+Labels: ['Cancer']
+Scores: [0.1206565722823143]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06869025528430939]
+Labels: ['Cardiovascular diseases']
+Scores: [0.25390252470970154]
+Labels: ['Mental Health']
+Scores: [0.0880899727344513]
+Labels: ['Diabetes type 1']
+Scores: [0.12346252053976059]
+Labels: ['Diabetes type 2']
+Scores: [0.1670324206352234]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39307578
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Noncommunicable Diseases', 'Postpartum Period', 'Parturition', 'Pregnancy Complications', 'Australia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9097258448600769]
+Labels: ['Diabetes']
+Scores: [0.0021058914717286825]
+Labels: ['Cancer']
+Scores: [0.004826183896511793]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0028476968873292208]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0157727412879467]
+Labels: ['Mental Health']
+Scores: [0.015558399260044098]
+Labels: ['Diabetes type 1']
+Scores: [0.001230205874890089]
+Labels: ['Diabetes type 2']
+Scores: [0.0013428851962089539]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2339279055595398]
+Labels: ['Diabetes']
+Scores: [0.6163749694824219]
+Labels: ['Cancer']
+Scores: [0.12213399261236191]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12233920395374298]
+Labels: ['Cardiovascular diseases']
+Scores: [0.26192644238471985]
+Labels: ['Mental Health']
+Scores: [0.08739161491394043]
+Labels: ['Diabetes type 1']
+Scores: [0.4914039075374603]
+Labels: ['Diabetes type 2']
+Scores: [0.4088701903820038]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20035451650619507]
+Labels: ['Diabetes']
+Scores: [0.4279763102531433]
+Labels: ['Cancer']
+Scores: [0.37651050090789795]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3808543384075165]
+Labels: ['Cardiovascular diseases']
+Scores: [0.38556352257728577]
+Labels: ['Mental Health']
+Scores: [0.34605327248573303]
+Labels: ['Diabetes type 1']
+Scores: [0.4391561448574066]
+Labels: ['Diabetes type 2']
+Scores: [0.43688756227493286]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8594523072242737]
+Labels: ['Diabetes']
+Scores: [0.8761312961578369]
+Labels: ['Cancer']
+Scores: [0.842839241027832]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8412654399871826]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8330934047698975]
+Labels: ['Mental Health']
+Scores: [0.8216291069984436]
+Labels: ['Diabetes type 1']
+Scores: [0.8717856407165527]
+Labels: ['Diabetes type 2']
+Scores: [0.8675076961517334]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03096732310950756]
+Labels: ['Diabetes']
+Scores: [0.005388098768889904]
+Labels: ['Cancer']
+Scores: [0.7778456211090088]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011588023975491524]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7535925507545471]
+Labels: ['Mental Health']
+Scores: [0.0294730756431818]
+Labels: ['Diabetes type 1']
+Scores: [0.00676407665014267]
+Labels: ['Diabetes type 2']
+Scores: [0.006259901449084282]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735640
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Blood Glucose', 'Class Ia Phosphatidylinositol 3-Kinase', 'Diabetes Mellitus', 'Growth Disorders', 'Hypercalcemia', 'Insulin Resistance', 'Nephrocalcinosis', 'Tooth Abnormalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10040663927793503]
+Labels: ['Diabetes']
+Scores: [0.4808499217033386]
+Labels: ['Cancer']
+Scores: [0.25794488191604614]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15639477968215942]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1914735734462738]
+Labels: ['Mental Health']
+Scores: [0.13886214792728424]
+Labels: ['Diabetes type 1']
+Scores: [0.5671358704566956]
+Labels: ['Diabetes type 2']
+Scores: [0.5632259845733643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3148104250431061]
+Labels: ['Diabetes']
+Scores: [0.30843156576156616]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3056676685810089]
+Labels: ['Cardiovascular diseases']
+Scores: [0.31639012694358826]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.3013705313205719]
+Labels: ['Diabetes type 2']
+Scores: [0.30074259638786316]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10869719833135605]
+Labels: ['Diabetes']
+Scores: [0.049122199416160583]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.14346322417259216]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19521358609199524]
+Labels: ['Mental Health']
+Scores: [0.07312334328889847]
+Labels: ['Diabetes type 1']
+Scores: [0.047690436244010925]
+Labels: ['Diabetes type 2']
+Scores: [0.0506926067173481]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734205
+Predictions: ['Diabetes']
+MeshTerm: ['Administration, Oral', 'Insulin', 'Humans', 'Animals', 'Nanoparticles', 'Blood Glucose', 'Diabetes Mellitus', 'Particle Size', 'Hypoglycemic Agents', 'Drug Carriers', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.42490261793136597]
+Labels: ['Diabetes']
+Scores: [0.48080283403396606]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4356924891471863]
+Labels: ['Cardiovascular diseases']
+Scores: [0.43778687715530396]
+Labels: ['Mental Health']
+Scores: [0.4367132782936096]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.4735487103462219]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03947383537888527]
+Labels: ['Diabetes']
+Scores: [0.8745604753494263]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.009003892540931702]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08503617346286774]
+Labels: ['Mental Health']
+Scores: [0.017136462032794952]
+Labels: ['Diabetes type 1']
+Scores: [0.4100026786327362]
+Labels: ['Diabetes type 2']
+Scores: [0.22127088904380798]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732905
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Coronary Stenosis', 'Aged', 'Inflammation', 'Coronary Disease', 'Severity of Illness Index', 'Diabetes Mellitus', 'Prognosis', 'Risk Factors', 'Predictive Value of Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.724640429019928]
+Labels: ['Diabetes']
+Scores: [0.7323741316795349]
+Labels: ['Cancer']
+Scores: [0.7140348553657532]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7253852486610413]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7393645644187927]
+Labels: ['Mental Health']
+Scores: [0.7132532596588135]
+Labels: ['Diabetes type 1']
+Scores: [0.7369005084037781]
+Labels: ['Diabetes type 2']
+Scores: [0.7356415390968323]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39732874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sepsis', 'Male', 'Female', 'Aged', 'Middle Aged', 'Calcium', 'Diabetes Mellitus', 'Acid-Base Equilibrium', 'ROC Curve', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.48020920157432556]
+Labels: ['Diabetes']
+Scores: [0.7538489103317261]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.5443570017814636]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6429982781410217]
+Labels: ['Mental Health']
+Scores: [0.4066755175590515]
+Labels: ['Diabetes type 1']
+Scores: [0.7383058071136475]
+Labels: ['Diabetes type 2']
+Scores: [0.7001273036003113]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8437671661376953]
+Labels: ['Diabetes']
+Scores: [0.9047296047210693]
+Labels: ['Cancer']
+Scores: [0.8889345526695251]
+Labels: ['Chronic respiratory disease']
+Scores: [0.886446475982666]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9054835438728333]
+Labels: ['Mental Health']
+Scores: [0.861984372138977]
+Labels: ['Diabetes type 1']
+Scores: [0.9032442569732666]
+Labels: ['Diabetes type 2']
+Scores: [0.9029209613800049]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39732433
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Ethiopia', 'Risk Factors', 'Prevalence', 'Diabetic Angiopathies', 'Male', 'Female', 'Middle Aged', 'Adult', 'Risk Assessment', 'Diabetic Retinopathy', 'Aged', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Diabetes Mellitus', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012937313877046108]
+Labels: ['Diabetes']
+Scores: [0.49904489517211914]
+Labels: ['Cancer']
+Scores: [0.015480749309062958]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009723336435854435]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10989685356616974]
+Labels: ['Mental Health']
+Scores: [0.02113080956041813]
+Labels: ['Diabetes type 1']
+Scores: [0.3664065897464752]
+Labels: ['Diabetes type 2']
+Scores: [0.3502264618873596]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6419169902801514]
+Labels: ['Diabetes']
+Scores: [0.6561969518661499]
+Labels: ['Cancer']
+Scores: [0.6376361846923828]
+Labels: ['Chronic respiratory disease']
+Scores: [0.63225257396698]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6599365472793579]
+Labels: ['Mental Health']
+Scores: [0.5989141464233398]
+Labels: ['Diabetes type 1']
+Scores: [0.6439790725708008]
+Labels: ['Diabetes type 2']
+Scores: [0.6421658396720886]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730510
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Nutrition Surveys', 'Heart Diseases', 'Diabetes Mellitus', 'Waist Circumference', 'Body Mass Index', 'Adiposity', 'Risk Factors', 'Adipose Tissue', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1329011768102646]
+Labels: ['Diabetes']
+Scores: [0.13979580998420715]
+Labels: ['Cancer']
+Scores: [0.13707603514194489]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13913919031620026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13342459499835968]
+Labels: ['Mental Health']
+Scores: [0.1409003883600235]
+Labels: ['Diabetes type 1']
+Scores: [0.1557488590478897]
+Labels: ['Diabetes type 2']
+Scores: [0.1562209576368332]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729755
+Predictions: ['Diabetes']
+MeshTerm: ['Biosensing Techniques', 'Microwaves', 'Humans', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Spectrum Analysis, Raman', 'Spectroscopy, Near-Infrared', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7577940225601196]
+Labels: ['Diabetes']
+Scores: [0.7952761054039001]
+Labels: ['Cancer']
+Scores: [0.742297351360321]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7490754723548889]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7586939334869385]
+Labels: ['Mental Health']
+Scores: [0.7439733147621155]
+Labels: ['Diabetes type 1']
+Scores: [0.7948641180992126]
+Labels: ['Diabetes type 2']
+Scores: [0.7917486429214478]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06989096850156784]
+Labels: ['Diabetes']
+Scores: [0.3799334466457367]
+Labels: ['Cancer']
+Scores: [0.09765098989009857]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08911321312189102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42036908864974976]
+Labels: ['Mental Health']
+Scores: [0.08361577987670898]
+Labels: ['Diabetes type 1']
+Scores: [0.3356836438179016]
+Labels: ['Diabetes type 2']
+Scores: [0.2716263234615326]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725454
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Kidney Transplantation', 'Male', 'Female', 'Child', 'Adolescent', 'Graft Survival', 'Graft Rejection', 'Diabetes Mellitus', 'Incidence', 'Retrospective Studies', 'Postoperative Complications', 'Survival Analysis', 'Child, Preschool', 'Transplant Recipients', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.35415148735046387]
+Labels: ['Diabetes']
+Scores: [0.7184422016143799]
+Labels: ['Cancer']
+Scores: [0.2552246153354645]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3203815221786499]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4819979965686798]
+Labels: ['Mental Health']
+Scores: [0.2009509801864624]
+Labels: ['Diabetes type 1']
+Scores: [0.6767982244491577]
+Labels: ['Diabetes type 2']
+Scores: [0.6594433188438416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723173
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Wound Healing', 'Hypoxia-Inducible Factor 1, alpha Subunit', 'Animals', 'Deferoxamine', 'Diabetes Mellitus', 'Glycine', 'Nanoparticles', 'Isoquinolines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9211471676826477]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.9465175867080688]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9445845484733582]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9444307088851929]
+Labels: ['Mental Health']
+Scores: [0.9410485625267029]
+Labels: ['Diabetes type 1']
+Scores: [0.9495505690574646]
+Labels: ['Diabetes type 2']
+Scores: [0.9496493339538574]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39721299
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Elasticity Imaging Techniques', 'Pilot Projects', 'Male', 'Female', 'Pancreas', 'Middle Aged', 'Adult', 'Case-Control Studies', 'Aged', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1254393458366394]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.1038709357380867]
+Labels: ['Chronic respiratory disease']
+Scores: [0.20255383849143982]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30531495809555054]
+Labels: ['Mental Health']
+Scores: [0.07564853876829147]
+Labels: ['Diabetes type 1']
+Scores: [0.4845968782901764]
+Labels: ['Diabetes type 2']
+Scores: [0.3976350426673889]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720256
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Extracellular Vesicles', 'Osteoporosis', 'Animals', 'Diabetes Complications', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7415992617607117]
+Labels: ['Diabetes']
+Scores: [0.8366116881370544]
+Labels: ['Cancer']
+Scores: [0.7516053915023804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7659033536911011]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7746536731719971]
+Labels: ['Mental Health']
+Scores: [0.7411105632781982]
+Labels: ['Diabetes type 1']
+Scores: [0.8246687054634094]
+Labels: ['Diabetes type 2']
+Scores: [0.8223469853401184]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12757635116577148]
+Labels: ['Diabetes']
+Scores: [0.5219388604164124]
+Labels: ['Cancer']
+Scores: [0.09836270660161972]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1128256618976593]
+Labels: ['Cardiovascular diseases']
+Scores: [0.18787796795368195]
+Labels: ['Mental Health']
+Scores: [0.03134091943502426]
+Labels: ['Diabetes type 1']
+Scores: [0.4267301559448242]
+Labels: ['Diabetes type 2']
+Scores: [0.3146006166934967]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719762
+Predictions: ['Diabetes']
+MeshTerm: ['Particulate Matter', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Air Pollutants', 'Humans', 'Male', 'Prospective Studies', 'Air Pollution', 'Environmental Exposure', 'China', 'Aged', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01504679024219513]
+Labels: ['Diabetes']
+Scores: [0.008754372596740723]
+Labels: ['Cancer']
+Scores: [0.0199675802141428]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028180358931422234]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028982780873775482]
+Labels: ['Mental Health']
+Scores: [0.0449720099568367]
+Labels: ['Diabetes type 1']
+Scores: [0.010978520847856998]
+Labels: ['Diabetes type 2']
+Scores: [0.01303789857774973]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719335
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Male', 'Female', 'Adult', 'Multimorbidity', 'Middle Aged', 'Chronic Disease', 'Prevalence', 'Aged', 'Hypertension', 'Obesity', 'Hyperuricemia', 'Dyslipidemias', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Adolescent', 'Rural Population', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04468953236937523]
+Labels: ['Diabetes']
+Scores: [0.0320272259414196]
+Labels: ['Cancer']
+Scores: [0.08028877526521683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1069825068116188]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1016804575920105]
+Labels: ['Mental Health']
+Scores: [0.020580705255270004]
+Labels: ['Diabetes type 1']
+Scores: [0.018038010224699974]
+Labels: ['Diabetes type 2']
+Scores: [0.01864125020802021]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719334
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Female', 'Male', 'Adult', 'Middle Aged', 'Prevalence', 'Hyperuricemia', 'Chronic Disease', 'Hypertension', 'Metabolic Diseases', 'Dyslipidemias', 'Aged', 'Diabetes Mellitus', 'Young Adult', 'Rural Population', 'Adolescent', 'Urban Population', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0448429211974144]
+Labels: ['Diabetes']
+Scores: [0.03695296496152878]
+Labels: ['Cancer']
+Scores: [0.061488788574934006]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06372634321451187]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06746726483106613]
+Labels: ['Mental Health']
+Scores: [0.029397139325737953]
+Labels: ['Diabetes type 1']
+Scores: [0.021277019754052162]
+Labels: ['Diabetes type 2']
+Scores: [0.022177573293447495]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719258
+Predictions: ['Diabetes']
+MeshTerm: ['MicroRNAs', 'Humans', 'Wound Healing', 'Animals', 'Signal Transduction', 'Diabetes Complications', 'Diabetes Mellitus', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6853530406951904]
+Labels: ['Diabetes']
+Scores: [0.7812925577163696]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.734098494052887]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7235660552978516]
+Labels: ['Mental Health']
+Scores: [0.6929079294204712]
+Labels: ['Diabetes type 1']
+Scores: [0.7697011232376099]
+Labels: ['Diabetes type 2']
+Scores: [0.7651227712631226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39718458
+Predictions: ['Diabetes']
+MeshTerm: ['Titanium', 'Insulin', 'Animals', 'Hypoglycemic Agents', 'Particle Size', 'Glucose', 'Materials Testing', 'Nanoparticles', 'Surface Properties', 'Biocompatible Materials', 'Diabetes Mellitus', 'Drug Delivery Systems', 'Mice', 'Diabetes Mellitus, Experimental', 'Humans', 'Boronic Acids']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.051052968949079514]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07552557438611984]
+Labels: ['Mental Health']
+Scores: [0.03313453122973442]
+Labels: ['Diabetes type 1']
+Scores: [0.18868130445480347]
+Labels: ['Diabetes type 2']
+Scores: [0.17729182541370392]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717102
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Postmenopause', 'Middle Aged', 'Coronary Disease', 'Cholesterol', 'Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Prevalence', 'United States', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08228550106287003]
+Labels: ['Diabetes']
+Scores: [0.846501350402832]
+Labels: ['Cancer']
+Scores: [0.16221244633197784]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11461731791496277]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30502477288246155]
+Labels: ['Mental Health']
+Scores: [0.09043483436107635]
+Labels: ['Diabetes type 1']
+Scores: [0.7257803082466125]
+Labels: ['Diabetes type 2']
+Scores: [0.6016218662261963]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717099
+Predictions: ['Diabetes']
+MeshTerm: ['Bibliometrics', 'Humans', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Inflammasomes', 'Diabetes Mellitus', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15125997364521027]
+Labels: ['Diabetes']
+Scores: [0.8925067782402039]
+Labels: ['Cancer']
+Scores: [0.05072791129350662]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06743823736906052]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12885449826717377]
+Labels: ['Mental Health']
+Scores: [0.0314030721783638]
+Labels: ['Diabetes type 1']
+Scores: [0.6026108264923096]
+Labels: ['Diabetes type 2']
+Scores: [0.5158639550209045]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716287
+Predictions: ['Diabetes']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Administration, Oral', 'Blood Glucose', 'Cholecalciferol', 'Creatine', 'Diabetes Mellitus', 'Dietary Supplements', 'Iran', 'Muscle Strength', 'Muscle, Skeletal', 'Oxidative Stress', 'Randomized Controlled Trials as Topic', 'Sarcopenia', 'Treatment Outcome', 'Valerates', 'Whey Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08052895218133926]
+Labels: ['Diabetes']
+Scores: [0.48515555262565613]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.07344766706228256]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23120708763599396]
+Labels: ['Mental Health']
+Scores: [0.08283650130033493]
+Labels: ['Diabetes type 1']
+Scores: [0.40583792328834534]
+Labels: ['Diabetes type 2']
+Scores: [0.38101208209991455]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716100
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Gastrointestinal Microbiome', 'Kidney Transplantation', 'Postoperative Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39212214946746826]
+Labels: ['Diabetes']
+Scores: [0.7349216938018799]
+Labels: ['Cancer']
+Scores: [0.3264521658420563]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4206353425979614]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5011615753173828]
+Labels: ['Mental Health']
+Scores: [0.20731529593467712]
+Labels: ['Diabetes type 1']
+Scores: [0.6877972483634949]
+Labels: ['Diabetes type 2']
+Scores: [0.6842449307441711]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715819
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus', 'Egypt', 'Health Knowledge, Attitudes, Practice', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5133675932884216]
+Labels: ['Diabetes']
+Scores: [0.5781343579292297]
+Labels: ['Cancer']
+Scores: [0.5178032517433167]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4836239218711853]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4968791604042053]
+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715497
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'COVID-19 Vaccines', 'Antibodies, Neutralizing', 'COVID-19', 'Female', 'HIV Infections', 'Middle Aged', 'Antibodies, Viral', 'Immunoglobulin G', 'SARS-CoV-2', 'Immunity, Humoral', 'Adult', 'Diabetes Mellitus', 'Vaccination', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714194
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Middle Aged', 'Ischemic Stroke', 'Aged, 80 and over', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Age Factors', 'Blood Glucose', 'Prospective Studies']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714134
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Saliva', 'Metal-Organic Frameworks', 'Transistors, Electronic', 'Glucose', 'Electrodes', 'Biosensing Techniques', 'Electrochemical Techniques', 'Nickel', 'Particle Size']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709946
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Transcription Factor 7-Like 2 Protein', 'beta Catenin', 'Wnt3A Protein', 'Wnt Signaling Pathway', 'Diabetic Nephropathies', 'Animals', 'Diabetes Mellitus']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709804
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vaccination Coverage', 'Cross-Sectional Studies', 'Influenza, Human', 'Male', 'Influenza Vaccines', 'Female', 'Europe', 'Middle Aged', 'Aged', 'Diabetes Mellitus', 'Seasons', 'Vaccination', 'Social Determinants of Health', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709395
+Predictions: ['Diabetes']
+MeshTerm: ['Bayes Theorem', 'Humans', 'Software', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Middle Aged', 'Retrospective Studies', 'Male', 'Adult', 'Female', 'Aged', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Aged, 80 and over', 'Oman', 'Body Mass Index', 'Blood Pressure', 'Young Adult', 'SARS-CoV-2', 'Hypertension', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707324
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Triglycerides', 'Longitudinal Studies', 'Male', 'Middle Aged', 'Female', 'Blood Glucose', 'China', 'Aged', 'Obesity', 'Risk Factors', 'Insulin Resistance', 'Diabetes Mellitus', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707271
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Erectile Dysfunction', 'Ethiopia', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Hospitals, Public', 'Prevalence', 'Risk Factors', 'Diabetes Mellitus', 'Poisson Distribution', 'Young Adult', 'Diabetes Complications', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707185
+Predictions: ['Diabetes']
+MeshTerm: ['Gastrointestinal Microbiome', 'Humans', 'Diabetes Mellitus', 'Protein Interaction Maps', 'Network Pharmacology', 'Proto-Oncogene Proteins c-akt', 'Metabolome', 'PPAR gamma', 'Signal Transduction', 'Metabolomics', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706370
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Glucose Tolerance Test', 'Adult', 'Blood Glucose', 'Hyperglycemia', 'Glycated Hemoglobin', 'Insulin Resistance', 'China', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Aged', 'Insulin', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39705195
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cardio-Renal Syndrome', 'Diabetes Mellitus', 'Metabolic Diseases', 'Practice Guidelines as Topic', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703865
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Uric Acid', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Cholesterol, HDL', 'Prospective Studies', 'Adult', 'Biomarkers', 'Diabetes Mellitus', 'Prognosis', 'Aged', 'Nutrition Surveys', 'Cohort Studies', 'Follow-Up Studies', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703057
+Predictions: ['Diabetes']
+MeshTerm: ['Strongyloides stercoralis', 'Strongyloidiasis', 'Animals', 'Humans', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702258
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nasopharynx', 'Male', 'Female', 'Case-Control Studies', 'Adult', 'Middle Aged', 'Ghana', 'Diabetes Mellitus', 'Aged', 'Bacteria', 'Young Adult', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702047
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Malaysia', 'Male', 'Mobile Applications', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Telemedicine', 'Self-Management', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Aged', 'Diabetes Mellitus, Type 2', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.6477693915367126]
+Labels: ['Diabetes type 2']
+Scores: [0.5356028079986572]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39700129
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Bangladesh', 'Hyperglycemia', 'Middle Aged', 'Tertiary Care Centers', 'Diabetes Mellitus', 'Prospective Studies', 'Adult', 'Follow-Up Studies', 'Aged', 'SARS-CoV-2', 'Hospitalization', 'Patient Discharge', 'Risk Factors', 'Socioeconomic Factors', 'Hospital Mortality']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2138959765434265]
+Labels: ['Diabetes']
+Scores: [0.7406892776489258]
+Labels: ['Cancer']
+Scores: [0.28897541761398315]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2527429461479187]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3078662157058716]
+Labels: ['Mental Health']
+Scores: [0.25551852583885193]
+Labels: ['Diabetes type 1']
+Scores: [0.6678006649017334]
+Labels: ['Diabetes type 2']
+Scores: [0.5899899005889893]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699704
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Hyperglycemia', 'Diabetes Mellitus', 'Risk Factors', 'Atherosclerosis', 'Blood Glucose']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.46200257539749146]
+Labels: ['Diabetes']
+Scores: [0.703300416469574]
+Labels: ['Cancer']
+Scores: [0.531875491142273]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6129166483879089]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6191364526748657]
+Labels: ['Mental Health']
+Scores: [0.2961249351501465]
+Labels: ['Diabetes type 1']
+Scores: [0.6515685319900513]
+Labels: ['Diabetes type 2']
+Scores: [0.6368445158004761]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699431
+Predictions: ['Diabetes']
+MeshTerm: ['Quality of Life', 'Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Patient Education as Topic', 'Educational Technology', 'Adult', 'Aged', 'Surveys and Questionnaires', 'Controlled Before-After Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005447247065603733]
+Labels: ['Diabetes']
+Scores: [0.8734889030456543]
+Labels: ['Cancer']
+Scores: [0.01565868780016899]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00446671387180686]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014123404398560524]
+Labels: ['Mental Health']
+Scores: [0.014214352704584599]
+Labels: ['Diabetes type 1']
+Scores: [0.4714231789112091]
+Labels: ['Diabetes type 2']
+Scores: [0.3585510849952698]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39698032
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Middle Aged', 'Intra-Abdominal Fat', 'Japan', 'Cohort Studies', 'Obesity, Abdominal', 'Adiposity', 'Diabetes Mellitus', 'Risk Factors', 'Blood Glucose', 'Longitudinal Studies', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.38208794593811035]
+Labels: ['Diabetes']
+Scores: [0.5806705951690674]
+Labels: ['Cancer']
+Scores: [0.18528170883655548]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19084832072257996]
+Labels: ['Cardiovascular diseases']
+Scores: [0.27429747581481934]
+Labels: ['Mental Health']
+Scores: [0.12692959606647491]
+Labels: ['Diabetes type 1']
+Scores: [0.4836164116859436]
+Labels: ['Diabetes type 2']
+Scores: [0.3829580545425415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696515
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Uric Acid', 'C-Reactive Protein', 'Male', 'Female', 'Insulin Resistance', 'Triglycerides', 'Cholesterol, HDL', 'Adult', 'Middle Aged', 'Risk Factors', 'Sex Factors', 'Diabetes Mellitus', 'Mediation Analysis', 'Biomarkers', 'Sex Characteristics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027858439832925797]
+Labels: ['Diabetes']
+Scores: [0.23258697986602783]
+Labels: ['Cancer']
+Scores: [0.03674640879034996]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03126734495162964]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1229136660695076]
+Labels: ['Mental Health']
+Scores: [0.06885901838541031]
+Labels: ['Diabetes type 1']
+Scores: [0.38155362010002136]
+Labels: ['Diabetes type 2']
+Scores: [0.2936342656612396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696157
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'China', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Health Services Needs and Demand', 'Diabetes Mellitus', 'Young Adult', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Mass Screening', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.47304216027259827]
+Labels: ['Diabetes']
+Scores: [0.8903591632843018]
+Labels: ['Cancer']
+Scores: [0.19495795667171478]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15806883573532104]
+Labels: ['Cardiovascular diseases']
+Scores: [0.35515066981315613]
+Labels: ['Mental Health']
+Scores: [0.12292546778917313]
+Labels: ['Diabetes type 1']
+Scores: [0.7912051677703857]
+Labels: ['Diabetes type 2']
+Scores: [0.6660277247428894]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39696101
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Middle Aged', 'Health Surveys', 'Young Adult', 'Risk Factors', 'Sex Factors', 'Undiagnosed Diseases', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6151378154754639]
+Labels: ['Diabetes']
+Scores: [0.7569877505302429]
+Labels: ['Cancer']
+Scores: [0.5667007565498352]
+Labels: ['Chronic respiratory disease']
+Scores: [0.47085991501808167]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5083257555961609]
+Labels: ['Mental Health']
+Scores: [0.46983766555786133]
+Labels: ['Diabetes type 1']
+Scores: [0.7435089349746704]
+Labels: ['Diabetes type 2']
+Scores: [0.7072247862815857]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39695649
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Diabetes Mellitus', 'Neural Networks, Computer', 'Middle Aged', 'Female', 'Male', 'Models, Statistical', 'Support Vector Machine', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022549329325556755]
+Labels: ['Diabetes']
+Scores: [0.8947400450706482]
+Labels: ['Cancer']
+Scores: [0.04435538128018379]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00693785585463047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12013029307126999]
+Labels: ['Mental Health']
+Scores: [0.0154997194185853]
+Labels: ['Diabetes type 1']
+Scores: [0.614050030708313]
+Labels: ['Diabetes type 2']
+Scores: [0.40878576040267944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695632
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Malawi', 'Qualitative Research', 'Female', 'Diabetes Mellitus', 'Focus Groups', 'Health Knowledge, Attitudes, Practice', 'Adult', 'Male', 'Nursing Staff, Hospital', 'Tertiary Care Centers', 'Clinical Competence', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.31947949528694153]
+Labels: ['Diabetes']
+Scores: [0.7603180408477783]
+Labels: ['Cancer']
+Scores: [0.27943864464759827]
+Labels: ['Chronic respiratory disease']
+Scores: [0.28101396560668945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.28159967064857483]
+Labels: ['Mental Health']
+Scores: [0.26118308305740356]
+Labels: ['Diabetes type 1']
+Scores: [0.6537244915962219]
+Labels: ['Diabetes type 2']
+Scores: [0.5790743231773376]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695379
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cluster Analysis', 'Regression Analysis', 'Models, Statistical', 'Algorithms', 'Diabetes Mellitus', 'Data Interpretation, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14022928476333618]
+Labels: ['Diabetes']
+Scores: [0.09272615611553192]
+Labels: ['Cancer']
+Scores: [0.13571016490459442]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09376680850982666]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10036276280879974]
+Labels: ['Mental Health']
+Scores: [0.0742369145154953]
+Labels: ['Diabetes type 1']
+Scores: [0.08263716101646423]
+Labels: ['Diabetes type 2']
+Scores: [0.08381697535514832]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693799
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Prediabetic State', 'Incidence', 'Middle Aged', 'Depression', 'Triglycerides', 'United States', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Diabetes Mellitus', 'Aged', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02379429340362549]
+Labels: ['Diabetes']
+Scores: [0.4478209614753723]
+Labels: ['Cancer']
+Scores: [0.05470467731356621]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0254061259329319]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06007906049489975]
+Labels: ['Mental Health']
+Scores: [0.040666382759809494]
+Labels: ['Diabetes type 1']
+Scores: [0.32055118680000305]
+Labels: ['Diabetes type 2']
+Scores: [0.2768479883670807]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693267
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Renal Dialysis', 'Kidney Failure, Chronic', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Blood Glucose', 'Precision Medicine', 'Hypoglycemic Agents', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5494266152381897]
+Labels: ['Diabetes']
+Scores: [0.5436052680015564]
+Labels: ['Cancer']
+Scores: [0.5192296504974365]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5154901146888733]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5377582907676697]
+Labels: ['Mental Health']
+Scores: [0.4871366322040558]
+Labels: ['Diabetes type 1']
+Scores: [0.5380865335464478]
+Labels: ['Diabetes type 2']
+Scores: [0.5356125235557556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39692388
+Predictions: ['Diabetes']
+MeshTerm: ['Adolescent', 'Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Young Adult', 'Arabs', 'Chronic Disease', 'Diabetes Mellitus', 'Health Status Disparities', 'Israel', 'Jews', 'Obesity', 'Prevalence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023136615753173828]
+Labels: ['Diabetes']
+Scores: [0.01756618730723858]
+Labels: ['Cancer']
+Scores: [0.06325358152389526]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06187282130122185]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03508599102497101]
+Labels: ['Mental Health']
+Scores: [0.018886560574173927]
+Labels: ['Diabetes type 1']
+Scores: [0.008028176613152027]
+Labels: ['Diabetes type 2']
+Scores: [0.00981083419173956]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686708
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Glycated Hemoglobin', 'Time Factors', 'Biometry', 'Models, Statistical', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6102181673049927]
+Labels: ['Diabetes']
+Scores: [0.6665089726448059]
+Labels: ['Cancer']
+Scores: [0.6211739182472229]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6106228232383728]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6039959192276001]
+Labels: ['Mental Health']
+Scores: [0.6013532280921936]
+Labels: ['Diabetes type 1']
+Scores: [0.6721625328063965]
+Labels: ['Diabetes type 2']
+Scores: [0.6697970628738403]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686687
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Colorectal Neoplasms', 'Metabolic Syndrome', 'Middle Aged', 'Early Detection of Cancer', 'Male', 'Europe', 'Female', 'Adult', 'Diabetes Mellitus', 'North America', 'Age Factors', 'Risk Factors', 'Mass Screening', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023572538048028946]
+Labels: ['Diabetes']
+Scores: [0.7766668796539307]
+Labels: ['Cancer']
+Scores: [0.9207997918128967]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03002137504518032]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0795670747756958]
+Labels: ['Mental Health']
+Scores: [0.03076852113008499]
+Labels: ['Diabetes type 1']
+Scores: [0.4260779321193695]
+Labels: ['Diabetes type 2']
+Scores: [0.28688719868659973]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684919
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cyclin-Dependent Kinase Inhibitor p21', 'Diabetes Mellitus', 'Animals', 'Metabolic Diseases', 'Insulin Resistance', 'DNA Damage']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4568331241607666]
+Labels: ['Diabetes']
+Scores: [0.8629716038703918]
+Labels: ['Cancer']
+Scores: [0.8489723205566406]
+Labels: ['Chronic respiratory disease']
+Scores: [0.611207902431488]
+Labels: ['Cardiovascular diseases']
+Scores: [0.65358567237854]
+Labels: ['Mental Health']
+Scores: [0.4786636233329773]
+Labels: ['Diabetes type 1']
+Scores: [0.8221352100372314]
+Labels: ['Diabetes type 2']
+Scores: [0.7969751954078674]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39684905
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Cats', 'Insulin', 'Signal Transduction', 'Muscle, Skeletal', 'Biomarkers', 'Liver', 'Cat Diseases', 'Male', 'Pancreas', 'Diabetes Mellitus', 'Receptor, Insulin', 'Female', 'Insulin Resistance', 'Insulin Receptor Substrate Proteins', 'Glucagon-Like Peptide 1', 'Incretins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05386941134929657]
+Labels: ['Diabetes']
+Scores: [0.08957405388355255]
+Labels: ['Cancer']
+Scores: [0.041426531970500946]
+Labels: ['Chronic respiratory disease']
+Scores: [0.030615052208304405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05485495179891586]
+Labels: ['Mental Health']
+Scores: [0.023121150210499763]
+Labels: ['Diabetes type 1']
+Scores: [0.16830432415008545]
+Labels: ['Diabetes type 2']
+Scores: [0.13323120772838593]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684868
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nanostructures', 'Pancreatic Diseases', 'Animals', 'Drug Delivery Systems', 'Pancreatic Neoplasms', 'Diabetes Mellitus', 'Drug Carriers', 'Pancreas']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.912781834602356]
+Labels: ['Diabetes']
+Scores: [0.924155592918396]
+Labels: ['Cancer']
+Scores: [0.9287489652633667]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9186906814575195]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9198501706123352]
+Labels: ['Mental Health']
+Scores: [0.9090703129768372]
+Labels: ['Diabetes type 1']
+Scores: [0.9212377071380615]
+Labels: ['Diabetes type 2']
+Scores: [0.9199971556663513]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39684468
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Apolipoprotein C-III', 'Cardiovascular Diseases', 'Animals', 'Diabetes Mellitus', 'Metabolic Diseases', 'Lipoproteins', 'Triglycerides', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.676189661026001]
+Labels: ['Diabetes']
+Scores: [0.7359957695007324]
+Labels: ['Cancer']
+Scores: [0.7157120704650879]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7175465226173401]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7312081456184387]
+Labels: ['Mental Health']
+Scores: [0.6871952414512634]
+Labels: ['Diabetes type 1']
+Scores: [0.7348012924194336]
+Labels: ['Diabetes type 2']
+Scores: [0.7350966930389404]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 4], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39684379
+Predictions: ['Diabetes']
+MeshTerm: ['Leptin', 'Humans', 'Obesity', 'Metabolic Diseases', 'Diabetes Mellitus', 'Female', 'Male', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39531800150871277]
+Labels: ['Diabetes']
+Scores: [0.4087507128715515]
+Labels: ['Cancer']
+Scores: [0.401547372341156]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3917798697948456]
+Labels: ['Cardiovascular diseases']
+Scores: [0.38498443365097046]
+Labels: ['Mental Health']
+Scores: [0.39106327295303345]
+Labels: ['Diabetes type 1']
+Scores: [0.452976793050766]
+Labels: ['Diabetes type 2']
+Scores: [0.43446075916290283]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Acetamides', 'Diabetes Mellitus', 'Depression', 'Antidepressive Agents', 'Depressive Disorder, Major', 'Blood Glucose', 'Glycated Hemoglobin', 'Treatment Outcome', 'Naphthalenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7908903956413269]
+Labels: ['Diabetes']
+Scores: [0.8598044514656067]
+Labels: ['Cancer']
+Scores: [0.8332874178886414]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8284148573875427]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8260042667388916]
+Labels: ['Mental Health']
+Scores: [0.8188663721084595]
+Labels: ['Diabetes type 1']
+Scores: [0.8563337922096252]
+Labels: ['Diabetes type 2']
+Scores: [0.8510493040084839]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39683638
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ferritins', 'Male', 'Middle Aged', 'Female', 'Mongolia', 'Cross-Sectional Studies', 'Cardiovascular Diseases', 'Meat', 'Diet', 'Heart Disease Risk Factors', 'Adult', 'Biomarkers', 'Aged', 'Diabetes Mellitus', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04564123600721359]
+Labels: ['Diabetes']
+Scores: [0.9699993133544922]
+Labels: ['Cancer']
+Scores: [0.08349102735519409]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013072819449007511]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9619700312614441]
+Labels: ['Mental Health']
+Scores: [0.041605155915021896]
+Labels: ['Diabetes type 1']
+Scores: [0.7369797825813293]
+Labels: ['Diabetes type 2']
+Scores: [0.555699348449707]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39683480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Blood Glucose', 'Independent Living', 'Italy', 'Fatty Acids, Unsaturated', 'Diabetes Mellitus', 'Aged, 80 and over', 'Diet', 'Blood Pressure', 'Cardiometabolic Risk Factors', 'Fatty Acids, Omega-3', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08558135479688644]
+Labels: ['Diabetes']
+Scores: [0.7015698552131653]
+Labels: ['Cancer']
+Scores: [0.03991836681962013]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017998911440372467]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09407533705234528]
+Labels: ['Mental Health']
+Scores: [0.02822449617087841]
+Labels: ['Diabetes type 1']
+Scores: [0.39606523513793945]
+Labels: ['Diabetes type 2']
+Scores: [0.29516348242759705]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39683416
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Dietary Supplements', 'Female', 'Nutrition Surveys', 'Male', 'Middle Aged', 'Adult', 'United States', 'Diabetes Mellitus', 'Motivation', 'Aged', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2990027666091919]
+Labels: ['Diabetes']
+Scores: [0.7648354768753052]
+Labels: ['Cancer']
+Scores: [0.2589086592197418]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23265202343463898]
+Labels: ['Cardiovascular diseases']
+Scores: [0.27431660890579224]
+Labels: ['Mental Health']
+Scores: [0.12024569511413574]
+Labels: ['Diabetes type 1']
+Scores: [0.672490656375885]
+Labels: ['Diabetes type 2']
+Scores: [0.5840182900428772]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681993
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Dogs', 'Dog Diseases', 'Fatty Liver', 'Tomography, X-Ray Computed', 'Male', 'Liver', 'Female', 'Diabetic Ketoacidosis', 'Diabetes Mellitus', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6755347847938538]
+Labels: ['Diabetes']
+Scores: [0.6841445565223694]
+Labels: ['Cancer']
+Scores: [0.676454484462738]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6752788424491882]
+Labels: ['Cardiovascular diseases']
+Scores: [0.660084068775177]
+Labels: ['Mental Health']
+Scores: [0.6615270972251892]
+Labels: ['Diabetes type 1']
+Scores: [0.6938892602920532]
+Labels: ['Diabetes type 2']
+Scores: [0.6877150535583496]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681831
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Fear', 'Feeding Behavior', 'Diabetes Mellitus', 'Cognitive Behavioral Therapy', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18885165452957153]
+Labels: ['Diabetes']
+Scores: [0.6846722960472107]
+Labels: ['Cancer']
+Scores: [0.2962283194065094]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12839101254940033]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7889673709869385]
+Labels: ['Mental Health']
+Scores: [0.4400467276573181]
+Labels: ['Diabetes type 1']
+Scores: [0.5032663941383362]
+Labels: ['Diabetes type 2']
+Scores: [0.4344094395637512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39681614
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Polyradiculoneuropathy, Chronic Inflammatory Demyelinating', 'Male', 'Diabetic Neuropathies', 'Female', 'Middle Aged', 'Ultrasonography', 'Diagnosis, Differential', 'Aged', 'Neural Conduction', 'ROC Curve', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6883147358894348]
+Labels: ['Diabetes']
+Scores: [0.7114685773849487]
+Labels: ['Cancer']
+Scores: [0.6798822283744812]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6870031356811523]
+Labels: ['Cardiovascular diseases']
+Scores: [0.671994686126709]
+Labels: ['Mental Health']
+Scores: [0.6723377108573914]
+Labels: ['Diabetes type 1']
+Scores: [0.7061724066734314]
+Labels: ['Diabetes type 2']
+Scores: [0.7029772996902466]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39681186
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Risk Factors', 'Nutrition Surveys', 'United States', 'Dementia', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Obesity', 'Smoking', 'Hypertension', 'Alcohol Drinking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03150930628180504]
+Labels: ['Diabetes']
+Scores: [0.5360668301582336]
+Labels: ['Cancer']
+Scores: [0.04731668904423714]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04676169902086258]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07672738283872604]
+Labels: ['Mental Health']
+Scores: [0.03871910274028778]
+Labels: ['Diabetes type 1']
+Scores: [0.42947256565093994]
+Labels: ['Diabetes type 2']
+Scores: [0.32807254791259766]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680279
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Recurrence', 'Computer Simulation', 'Models, Statistical', 'Proportional Hazards Models', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23198379576206207]
+Labels: ['Diabetes']
+Scores: [0.8065714836120605]
+Labels: ['Cancer']
+Scores: [0.34718409180641174]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22910261154174805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2707422971725464]
+Labels: ['Mental Health']
+Scores: [0.2417791187763214]
+Labels: ['Diabetes type 1']
+Scores: [0.735556960105896]
+Labels: ['Diabetes type 2']
+Scores: [0.7142273783683777]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39680083
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Bursitis', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Aged', 'Dilatation', 'Range of Motion, Articular', 'Shoulder Joint', 'Treatment Outcome', 'Pain Measurement', 'Adult', 'Diabetes Mellitus', 'Diabetes Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030872108414769173]
+Labels: ['Diabetes']
+Scores: [0.07282537966966629]
+Labels: ['Cancer']
+Scores: [0.019779691472649574]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009887329302728176]
+Labels: ['Cardiovascular diseases']
+Scores: [0.029364021494984627]
+Labels: ['Mental Health']
+Scores: [0.023798471316695213]
+Labels: ['Diabetes type 1']
+Scores: [0.09082350879907608]
+Labels: ['Diabetes type 2']
+Scores: [0.07283652573823929]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678201
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Food Insecurity', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Adult', 'Social Class', 'Family Characteristics', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13709647953510284]
+Labels: ['Diabetes']
+Scores: [0.6283157467842102]
+Labels: ['Cancer']
+Scores: [0.0341574102640152]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005150239914655685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.029275329783558846]
+Labels: ['Mental Health']
+Scores: [0.02344314381480217]
+Labels: ['Diabetes type 1']
+Scores: [0.4606097638607025]
+Labels: ['Diabetes type 2']
+Scores: [0.3989109396934509]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39676179
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Holistic Health', 'Mind-Body Therapies', 'Diabetes Mellitus', 'Neurosecretory Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02658749371767044]
+Labels: ['Diabetes']
+Scores: [0.7461488246917725]
+Labels: ['Cancer']
+Scores: [0.04927433282136917]
+Labels: ['Chronic respiratory disease']
+Scores: [0.031180093064904213]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09227292239665985]
+Labels: ['Mental Health']
+Scores: [0.05508311465382576]
+Labels: ['Diabetes type 1']
+Scores: [0.4759853780269623]
+Labels: ['Diabetes type 2']
+Scores: [0.3863258957862854]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39675484
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Adult', 'Aged', 'Body Mass Index', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03851171210408211]
+Labels: ['Diabetes']
+Scores: [0.8689830303192139]
+Labels: ['Cancer']
+Scores: [0.06448400765657425]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06985670328140259]
+Labels: ['Cardiovascular diseases']
+Scores: [0.32136330008506775]
+Labels: ['Mental Health']
+Scores: [0.09057611227035522]
+Labels: ['Diabetes type 1']
+Scores: [0.6259535551071167]
+Labels: ['Diabetes type 2']
+Scores: [0.48766088485717773]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39674445
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Arsenic', 'Homeostasis', 'Animals', 'Glucose', 'Diabetes Mellitus', 'Microbiota', 'Gastrointestinal Microbiome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8237878680229187]
+Labels: ['Diabetes']
+Scores: [0.8589769005775452]
+Labels: ['Cancer']
+Scores: [0.8367683291435242]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8234502673149109]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8231756091117859]
+Labels: ['Mental Health']
+Scores: [0.8221487402915955]
+Labels: ['Diabetes type 1']
+Scores: [0.8607127666473389]
+Labels: ['Diabetes type 2']
+Scores: [0.8540456891059875]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39673957
+Predictions: ['Diabetes']
+MeshTerm: ['Acetone', 'Zinc Oxide', 'Biosensing Techniques', 'Humans', 'Optical Fibers', 'Diabetes Mellitus', 'Biomarkers', 'Limit of Detection', 'Breath Tests', 'Equipment Design', 'Volatile Organic Compounds', 'Fiber Optic Technology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3241758644580841]
+Labels: ['Diabetes']
+Scores: [0.3555092513561249]
+Labels: ['Cancer']
+Scores: [0.3339579999446869]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3460555076599121]
+Labels: ['Cardiovascular diseases']
+Scores: [0.330346941947937]
+Labels: ['Mental Health']
+Scores: [0.325916588306427]
+Labels: ['Diabetes type 1']
+Scores: [0.3582877516746521]
+Labels: ['Diabetes type 2']
+Scores: [0.3592793643474579]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673919
+Predictions: ['Diabetes', 'Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Incidence', 'Adult', 'Aged', 'Diabetes Mellitus', 'New Zealand', 'Young Adult', 'Registries', 'Cohort Studies', 'Adolescent', 'Aged, 80 and over', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0901775062084198]
+Labels: ['Diabetes']
+Scores: [0.8406288027763367]
+Labels: ['Cancer']
+Scores: [0.9169461131095886]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2556034326553345]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42667335271835327]
+Labels: ['Mental Health']
+Scores: [0.12735526263713837]
+Labels: ['Diabetes type 1']
+Scores: [0.7157360315322876]
+Labels: ['Diabetes type 2']
+Scores: [0.5982118248939514]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39673498
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Female', 'Self Care', 'Primary Health Care', 'Middle Aged', 'Aged', 'Follow-Up Studies', 'Longitudinal Studies', 'Hypertension', 'Coronary Artery Disease', 'Diabetes Mellitus', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005242144223302603]
+Labels: ['Diabetes']
+Scores: [0.005388200748711824]
+Labels: ['Cancer']
+Scores: [0.008346126414835453]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006403956096619368]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015868844464421272]
+Labels: ['Mental Health']
+Scores: [0.011311576701700687]
+Labels: ['Diabetes type 1']
+Scores: [0.0040794555097818375]
+Labels: ['Diabetes type 2']
+Scores: [0.004453744273632765]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39672014
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Artificial Intelligence', 'Machine Learning', 'Deep Learning', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.32710525393486023]
+Labels: ['Diabetes']
+Scores: [0.8393127918243408]
+Labels: ['Cancer']
+Scores: [0.6420244574546814]
+Labels: ['Chronic respiratory disease']
+Scores: [0.49887681007385254]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6847091913223267]
+Labels: ['Mental Health']
+Scores: [0.8190234303474426]
+Labels: ['Diabetes type 1']
+Scores: [0.7900921702384949]
+Labels: ['Diabetes type 2']
+Scores: [0.7780123949050903]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39671511
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Male', 'Female', 'Cross-Sectional Studies', 'Hypertension', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Exercise', 'Coronary Artery Disease', 'Prospective Studies', 'Young Adult', 'Cardiometabolic Risk Factors', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5751553177833557]
+Labels: ['Diabetes']
+Scores: [0.09807001799345016]
+Labels: ['Cancer']
+Scores: [0.3490675389766693]
+Labels: ['Chronic respiratory disease']
+Scores: [0.33467912673950195]
+Labels: ['Cardiovascular diseases']
+Scores: [0.710595428943634]
+Labels: ['Mental Health']
+Scores: [0.14436295628547668]
+Labels: ['Diabetes type 1']
+Scores: [0.10088304430246353]
+Labels: ['Diabetes type 2']
+Scores: [0.098970428109169]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39671417
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Female', 'Male', 'COVID-19', 'Adult', 'Diabetes Mellitus', 'Middle Aged', 'Puerto Rico', 'COVID-19 Vaccines', 'Aged', 'Surveys and Questionnaires', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.050118088722229004]
+Labels: ['Diabetes']
+Scores: [0.4769040048122406]
+Labels: ['Cancer']
+Scores: [0.08567771315574646]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02178676426410675]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19904682040214539]
+Labels: ['Mental Health']
+Scores: [0.03393339365720749]
+Labels: ['Diabetes type 1']
+Scores: [0.2812603712081909]
+Labels: ['Diabetes type 2']
+Scores: [0.1969285011291504]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Liver Diseases', 'Aged', 'Analgesics, Opioid', 'United States', 'Liver Cirrhosis', 'Chronic Disease', 'Cohort Studies', 'Liver Neoplasms', 'Diabetes Mellitus', 'Logistic Models', 'Arthritis', 'Health Surveys', 'Chronic Pain', 'Hepatitis, Viral, Human', 'Renal Insufficiency, Chronic', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03828754276037216]
+Labels: ['Diabetes']
+Scores: [0.0821390450000763]
+Labels: ['Cancer']
+Scores: [0.19741816818714142]
+Labels: ['Chronic respiratory disease']
+Scores: [0.24940448999404907]
+Labels: ['Cardiovascular diseases']
+Scores: [0.29755696654319763]
+Labels: ['Mental Health']
+Scores: [0.11965472996234894]
+Labels: ['Diabetes type 1']
+Scores: [0.08808982372283936]
+Labels: ['Diabetes type 2']
+Scores: [0.08845961838960648]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670442
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Animals', 'Lipocalin-2', 'Diabetic Neuropathies', 'Oxidative Stress', 'Molecular Targeted Therapy', 'Quality of Life', 'Cognitive Dysfunction', 'Drug Development', 'Blood-Brain Barrier', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6797885894775391]
+Labels: ['Diabetes']
+Scores: [0.8736300468444824]
+Labels: ['Cancer']
+Scores: [0.7414208054542542]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7788059711456299]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7329463958740234]
+Labels: ['Mental Health']
+Scores: [0.572146475315094]
+Labels: ['Diabetes type 1']
+Scores: [0.8662127256393433]
+Labels: ['Diabetes type 2']
+Scores: [0.8707929849624634]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39670363
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Computational Biology', 'Diabetes Mellitus', 'Benchmarking', 'Blood Glucose', 'Wearable Electronic Devices', 'Smartphone', 'Mobile Applications', 'Language', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7246314287185669]
+Labels: ['Diabetes']
+Scores: [0.750163733959198]
+Labels: ['Cancer']
+Scores: [0.743996798992157]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7298340797424316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7314841151237488]
+Labels: ['Mental Health']
+Scores: [0.7189331650733948]
+Labels: ['Diabetes type 1']
+Scores: [0.7464814782142639]
+Labels: ['Diabetes type 2']
+Scores: [0.7462856769561768]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39667764
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Diabetic Foot', 'Osteomyelitis', 'Diabetes Mellitus', 'Anti-Infective Agents, Local']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3257139325141907]
+Labels: ['Diabetes']
+Scores: [0.6506966948509216]
+Labels: ['Cancer']
+Scores: [0.2518596649169922]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3470219373703003]
+Labels: ['Cardiovascular diseases']
+Scores: [0.24667946994304657]
+Labels: ['Mental Health']
+Scores: [0.1086973324418068]
+Labels: ['Diabetes type 1']
+Scores: [0.5913064479827881]
+Labels: ['Diabetes type 2']
+Scores: [0.5629656910896301]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666834
+Predictions: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Aged', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6942943334579468]
+Labels: ['Diabetes']
+Scores: [0.8120635747909546]
+Labels: ['Cancer']
+Scores: [0.718529999256134]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7082654237747192]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7751060128211975]
+Labels: ['Mental Health']
+Scores: [0.6903298497200012]
+Labels: ['Diabetes type 1']
+Scores: [0.7845759391784668]
+Labels: ['Diabetes type 2']
+Scores: [0.7802910208702087]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 3], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39666732
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Insulin', 'Aged', 'Diabetes Mellitus', 'Hospitalization', 'Frail Elderly', 'Hypoglycemic Agents', 'Female', 'Male', 'Hospitals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1843661218881607]
+Labels: ['Diabetes']
+Scores: [0.8671820163726807]
+Labels: ['Cancer']
+Scores: [0.06177880987524986]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08036333322525024]
+Labels: ['Cardiovascular diseases']
+Scores: [0.22341756522655487]
+Labels: ['Mental Health']
+Scores: [0.04557602480053902]
+Labels: ['Diabetes type 1']
+Scores: [0.6401012539863586]
+Labels: ['Diabetes type 2']
+Scores: [0.5062441825866699]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666445
+Predictions: ['Diabetes']
+MeshTerm: ['Bone Regeneration', 'Humans', 'Drug Delivery Systems', 'Animals', 'Diabetes Mellitus', 'Neovascularization, Physiologic', 'Osteogenesis', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9127821922302246]
+Labels: ['Diabetes']
+Scores: [0.9193164110183716]
+Labels: ['Cancer']
+Scores: [0.9206450581550598]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9196016192436218]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9162442088127136]
+Labels: ['Mental Health']
+Scores: [0.9136992692947388]
+Labels: ['Diabetes type 1']
+Scores: [0.9204142689704895]
+Labels: ['Diabetes type 2']
+Scores: [0.922350287437439]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.26599112153053284]
+Labels: ['Diabetes']
+Scores: [0.30820223689079285]
+Labels: ['Cancer']
+Scores: [0.2573493719100952]
+Labels: ['Chronic respiratory disease']
+Scores: [0.26345041394233704]
+Labels: ['Cardiovascular diseases']
+Scores: [0.285218745470047]
+Labels: ['Mental Health']
+Scores: [0.2679261863231659]
+Labels: ['Diabetes type 1']
+Scores: [0.3219224810600281]
+Labels: ['Diabetes type 2']
+Scores: [0.3270304203033447]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666397
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'COVID-19', 'Invasive Pulmonary Aspergillosis', 'Retrospective Studies', 'Case-Control Studies', 'Aged', 'Severity of Illness Index', 'SARS-CoV-2', 'Smoking', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03991337865591049]
+Labels: ['Diabetes']
+Scores: [0.776714563369751]
+Labels: ['Cancer']
+Scores: [0.02660822495818138]
+Labels: ['Chronic respiratory disease']
+Scores: [0.062249816954135895]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08431392908096313]
+Labels: ['Mental Health']
+Scores: [0.029054615646600723]
+Labels: ['Diabetes type 1']
+Scores: [0.3759708106517792]
+Labels: ['Diabetes type 2']
+Scores: [0.23924852907657623]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39665943
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vascular Stiffness', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Middle Aged', 'Hypertension', 'Glomerular Filtration Rate', 'Aged', 'Biomarkers', 'Albuminuria', 'Kidney', 'Cross-Sectional Studies', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12514451146125793]
+Labels: ['Diabetes']
+Scores: [0.20625579357147217]
+Labels: ['Cancer']
+Scores: [0.05655732378363609]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08102703839540482]
+Labels: ['Cardiovascular diseases']
+Scores: [0.18358829617500305]
+Labels: ['Mental Health']
+Scores: [0.04375878721475601]
+Labels: ['Diabetes type 1']
+Scores: [0.15028972923755646]
+Labels: ['Diabetes type 2']
+Scores: [0.12839990854263306]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39665157
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Protein Glutamine gamma Glutamyltransferase 2', 'Transglutaminases', 'Male', 'Female', 'Aged', 'Vasodilation', 'Endothelium, Vascular', 'GTP-Binding Proteins', 'Arteries', 'Vascular Resistance', 'Sex Factors', 'Diabetes Mellitus', 'Vasodilator Agents', 'Enzyme Inhibitors', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15345096588134766]
+Labels: ['Diabetes']
+Scores: [0.14943915605545044]
+Labels: ['Cancer']
+Scores: [0.13884849846363068]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14045414328575134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15693263709545135]
+Labels: ['Mental Health']
+Scores: [0.14479263126850128]
+Labels: ['Diabetes type 1']
+Scores: [0.15142038464546204]
+Labels: ['Diabetes type 2']
+Scores: [0.1547272950410843]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.903338611125946]
+Labels: ['Diabetes']
+Scores: [0.9009832739830017]
+Labels: ['Cancer']
+Scores: [0.9044216871261597]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9077247977256775]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9050430655479431]
+Labels: ['Mental Health']
+Scores: [0.896834671497345]
+Labels: ['Diabetes type 1']
+Scores: [0.9075350761413574]
+Labels: ['Diabetes type 2']
+Scores: [0.9085242748260498]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12516380846500397]
+Labels: ['Diabetes']
+Scores: [0.31331613659858704]
+Labels: ['Cancer']
+Scores: [0.7053267359733582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3301045894622803]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5011071562767029]
+Labels: ['Mental Health']
+Scores: [0.18273372948169708]
+Labels: ['Diabetes type 1']
+Scores: [0.2786552309989929]
+Labels: ['Diabetes type 2']
+Scores: [0.28090333938598633]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21602757275104523]
+Labels: ['Diabetes']
+Scores: [0.2594904899597168]
+Labels: ['Cancer']
+Scores: [0.8009594678878784]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4477709233760834]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5920390486717224]
+Labels: ['Mental Health']
+Scores: [0.08565636724233627]
+Labels: ['Diabetes type 1']
+Scores: [0.22596262395381927]
+Labels: ['Diabetes type 2']
+Scores: [0.2410859614610672]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09624599665403366]
+Labels: ['Diabetes']
+Scores: [0.1533425897359848]
+Labels: ['Cancer']
+Scores: [0.6768704652786255]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22032853960990906]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4212358593940735]
+Labels: ['Mental Health']
+Scores: [0.12845776975154877]
+Labels: ['Diabetes type 1']
+Scores: [0.1289004683494568]
+Labels: ['Diabetes type 2']
+Scores: [0.13334061205387115]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7480508685112]
+Labels: ['Diabetes']
+Scores: [0.6790326237678528]
+Labels: ['Cancer']
+Scores: [0.7681078910827637]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7358323931694031]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7678173780441284]
+Labels: ['Mental Health']
+Scores: [0.5725263357162476]
+Labels: ['Diabetes type 1']
+Scores: [0.6766610145568848]
+Labels: ['Diabetes type 2']
+Scores: [0.6917762756347656]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8118708729743958]
+Labels: ['Diabetes']
+Scores: [0.8217155337333679]
+Labels: ['Cancer']
+Scores: [0.8230546712875366]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8247292041778564]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8242841958999634]
+Labels: ['Mental Health']
+Scores: [0.8203874826431274]
+Labels: ['Diabetes type 1']
+Scores: [0.8322091102600098]
+Labels: ['Diabetes type 2']
+Scores: [0.831120491027832]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30880531668663025]
+Labels: ['Diabetes']
+Scores: [0.2979538142681122]
+Labels: ['Cancer']
+Scores: [0.4196383059024811]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3219737112522125]
+Labels: ['Cardiovascular diseases']
+Scores: [0.34568390250205994]
+Labels: ['Mental Health']
+Scores: [0.30984964966773987]
+Labels: ['Diabetes type 1']
+Scores: [0.30170902609825134]
+Labels: ['Diabetes type 2']
+Scores: [0.3005189299583435]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6977823376655579]
+Labels: ['Diabetes']
+Scores: [0.7120906710624695]
+Labels: ['Cancer']
+Scores: [0.7768785953521729]
+Labels: ['Chronic respiratory disease']
+Scores: [0.752236545085907]
+Labels: ['Cardiovascular diseases']
+Scores: [0.749624490737915]
+Labels: ['Mental Health']
+Scores: [0.6896149516105652]
+Labels: ['Diabetes type 1']
+Scores: [0.7101712822914124]
+Labels: ['Diabetes type 2']
+Scores: [0.7118909955024719]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23598968982696533]
+Labels: ['Diabetes']
+Scores: [0.037060778588056564]
+Labels: ['Cancer']
+Scores: [0.8149855732917786]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13051363825798035]
+Labels: ['Cardiovascular diseases']
+Scores: [0.27557066082954407]
+Labels: ['Mental Health']
+Scores: [0.0720367506146431]
+Labels: ['Diabetes type 1']
+Scores: [0.04677534103393555]
+Labels: ['Diabetes type 2']
+Scores: [0.044596366584300995]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18057051301002502]
+Labels: ['Diabetes']
+Scores: [0.18100740015506744]
+Labels: ['Cancer']
+Scores: [0.5584452152252197]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1818498969078064]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3407381772994995]
+Labels: ['Mental Health']
+Scores: [0.09639947861433029]
+Labels: ['Diabetes type 1']
+Scores: [0.16679131984710693]
+Labels: ['Diabetes type 2']
+Scores: [0.1674729287624359]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6998151540756226]
+Labels: ['Diabetes']
+Scores: [0.6681622266769409]
+Labels: ['Cancer']
+Scores: [0.7128999829292297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6800857186317444]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6647768616676331]
+Labels: ['Mental Health']
+Scores: [0.6655800342559814]
+Labels: ['Diabetes type 1']
+Scores: [0.6783122420310974]
+Labels: ['Diabetes type 2']
+Scores: [0.676620602607727]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.32286444306373596]
+Labels: ['Diabetes']
+Scores: [0.33603435754776]
+Labels: ['Cancer']
+Scores: [0.3685862123966217]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3436320126056671]
+Labels: ['Cardiovascular diseases']
+Scores: [0.34961995482444763]
+Labels: ['Mental Health']
+Scores: [0.334181010723114]
+Labels: ['Diabetes type 1']
+Scores: [0.3155267834663391]
+Labels: ['Diabetes type 2']
+Scores: [0.317361444234848]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8027696013450623]
+Labels: ['Diabetes']
+Scores: [0.808215856552124]
+Labels: ['Cancer']
+Scores: [0.8149291276931763]
+Labels: ['Chronic respiratory disease']
+Scores: [0.813827395439148]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8101039528846741]
+Labels: ['Mental Health']
+Scores: [0.8103784918785095]
+Labels: ['Diabetes type 1']
+Scores: [0.8129353523254395]
+Labels: ['Diabetes type 2']
+Scores: [0.8134870529174805]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9578643441200256]
+Labels: ['Diabetes']
+Scores: [0.9488046169281006]
+Labels: ['Cancer']
+Scores: [0.9599721431732178]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9590480923652649]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9549886584281921]
+Labels: ['Mental Health']
+Scores: [0.949794590473175]
+Labels: ['Diabetes type 1']
+Scores: [0.955054759979248]
+Labels: ['Diabetes type 2']
+Scores: [0.9551713466644287]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0518864206969738]
+Labels: ['Diabetes']
+Scores: [0.04004887118935585]
+Labels: ['Cancer']
+Scores: [0.7439847588539124]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09528754651546478]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1694173812866211]
+Labels: ['Mental Health']
+Scores: [0.04679625481367111]
+Labels: ['Diabetes type 1']
+Scores: [0.036138150840997696]
+Labels: ['Diabetes type 2']
+Scores: [0.03823789209127426]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0688793808221817]
+Labels: ['Diabetes']
+Scores: [0.011093411594629288]
+Labels: ['Cancer']
+Scores: [0.05076036974787712]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026833882555365562]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09311658143997192]
+Labels: ['Mental Health']
+Scores: [0.06287713348865509]
+Labels: ['Diabetes type 1']
+Scores: [0.013301719911396503]
+Labels: ['Diabetes type 2']
+Scores: [0.013118913397192955]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04275310039520264]
+Labels: ['Diabetes']
+Scores: [0.016588425263762474]
+Labels: ['Cancer']
+Scores: [0.4003128409385681]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022319544106721878]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03052768111228943]
+Labels: ['Mental Health']
+Scores: [0.03988257050514221]
+Labels: ['Diabetes type 1']
+Scores: [0.014377811923623085]
+Labels: ['Diabetes type 2']
+Scores: [0.01582498475909233]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05212269350886345]
+Labels: ['Diabetes']
+Scores: [0.011455168947577477]
+Labels: ['Cancer']
+Scores: [0.6469408273696899]
+Labels: ['Chronic respiratory disease']
+Scores: [0.045726578682661057]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10847032070159912]
+Labels: ['Mental Health']
+Scores: [0.03158145397901535]
+Labels: ['Diabetes type 1']
+Scores: [0.01490087155252695]
+Labels: ['Diabetes type 2']
+Scores: [0.016655517742037773]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03096732310950756]
+Labels: ['Diabetes']
+Scores: [0.005388098768889904]
+Labels: ['Cancer']
+Scores: [0.7778456211090088]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011588023975491524]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7535925507545471]
+Labels: ['Mental Health']
+Scores: [0.0294730756431818]
+Labels: ['Diabetes type 1']
+Scores: [0.00676407665014267]
+Labels: ['Diabetes type 2']
+Scores: [0.006259901449084282]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11127854138612747]
+Labels: ['Diabetes']
+Scores: [0.027669541537761688]
+Labels: ['Cancer']
+Scores: [0.7221565842628479]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0564628466963768]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17142929136753082]
+Labels: ['Mental Health']
+Scores: [0.06377756595611572]
+Labels: ['Diabetes type 1']
+Scores: [0.03770766407251358]
+Labels: ['Diabetes type 2']
+Scores: [0.03783591464161873]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736556
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Information Seeking Behavior', 'Early Detection of Cancer', 'Qualitative Research', 'Neoplasms', 'Needs Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012887867167592049]
+Labels: ['Diabetes']
+Scores: [0.005788275972008705]
+Labels: ['Cancer']
+Scores: [0.7940374612808228]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020187968388199806]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13393181562423706]
+Labels: ['Mental Health']
+Scores: [0.029804950580000877]
+Labels: ['Diabetes type 1']
+Scores: [0.005907967686653137]
+Labels: ['Diabetes type 2']
+Scores: [0.006143964361399412]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736554
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Middle East', 'Male', 'Africa, Northern', 'Neoplasms', 'Incidence', 'Female', 'Child', 'Adolescent', 'Child, Preschool', 'Infant', 'Health Status Disparities', 'Socioeconomic Factors', 'Young Adult', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2558189034461975]
+Labels: ['Diabetes']
+Scores: [0.0988963320851326]
+Labels: ['Cancer']
+Scores: [0.7694318294525146]
+Labels: ['Chronic respiratory disease']
+Scores: [0.33986932039260864]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3563748896121979]
+Labels: ['Mental Health']
+Scores: [0.08246663212776184]
+Labels: ['Diabetes type 1']
+Scores: [0.1102323830127716]
+Labels: ['Diabetes type 2']
+Scores: [0.12406449019908905]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736368
+Predictions: ['Cancer']
+MeshTerm: ['Ferroptosis', 'Photochemotherapy', 'Humans', 'Photosensitizing Agents', 'Reactive Oxygen Species', 'Neoplasms', 'Lipid Peroxidation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8610230088233948]
+Labels: ['Diabetes']
+Scores: [0.8626684546470642]
+Labels: ['Cancer']
+Scores: [0.8660624027252197]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8663254380226135]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8614693284034729]
+Labels: ['Mental Health']
+Scores: [0.8616030216217041]
+Labels: ['Diabetes type 1']
+Scores: [0.8641490340232849]
+Labels: ['Diabetes type 2']
+Scores: [0.8635851740837097]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39736217
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Bacteria', 'Surface Properties', 'Animals', 'Biological Products', 'Neoplasms', 'Biological Therapy', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.896551251411438]
+Labels: ['Diabetes']
+Scores: [0.8653043508529663]
+Labels: ['Cancer']
+Scores: [0.8875390291213989]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8848875164985657]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8779851198196411]
+Labels: ['Mental Health']
+Scores: [0.8884705305099487]
+Labels: ['Diabetes type 1']
+Scores: [0.8815951347351074]
+Labels: ['Diabetes type 2']
+Scores: [0.8764811158180237]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39736186
+Predictions: ['Cancer']
+MeshTerm: ['Spectrum Analysis, Raman', 'Humans', 'N-Acetylneuraminic Acid', 'Biomarkers, Tumor', 'Neoplasms', 'Animals', 'Polysaccharides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.41915392875671387]
+Labels: ['Diabetes']
+Scores: [0.43311965465545654]
+Labels: ['Cancer']
+Scores: [0.45704934000968933]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4372326731681824]
+Labels: ['Cardiovascular diseases']
+Scores: [0.43353569507598877]
+Labels: ['Mental Health']
+Scores: [0.416382372379303]
+Labels: ['Diabetes type 1']
+Scores: [0.43625181913375854]
+Labels: ['Diabetes type 2']
+Scores: [0.4378778636455536]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736017
+Predictions: ['Cancer']
+MeshTerm: ['Mesenchymal Stem Cells', 'Neoplasms', 'Gene Expression', 'Humans', 'HeLa Cells', 'MCF-7 Cells', 'A549 Cells', 'Reference Values', 'Genes, Essential', 'Real-Time Polymerase Chain Reaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.382397323846817]
+Labels: ['Diabetes']
+Scores: [0.11412655562162399]
+Labels: ['Cancer']
+Scores: [0.8209550380706787]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11110808700323105]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13635003566741943]
+Labels: ['Mental Health']
+Scores: [0.024537451565265656]
+Labels: ['Diabetes type 1']
+Scores: [0.09381160140037537]
+Labels: ['Diabetes type 2']
+Scores: [0.10019458830356598]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735992
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cell Line, Tumor', 'Transcriptome', 'Neoplasms', 'Gene Fusion', 'Sequence Analysis, RNA', 'Gene Expression Profiling', 'Oncogene Proteins, Fusion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007583545986562967]
+Labels: ['Diabetes']
+Scores: [0.0052651939913630486]
+Labels: ['Cancer']
+Scores: [0.796208381652832]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0043356590904295444]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02220482937991619]
+Labels: ['Mental Health']
+Scores: [0.0041238185949623585]
+Labels: ['Diabetes type 1']
+Scores: [0.0022213158663362265]
+Labels: ['Diabetes type 2']
+Scores: [0.002684791572391987]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735988
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Warburg Effect, Oncologic', 'Neoplasms', 'Glycolysis', 'Animals', 'Oxidative Phosphorylation', 'Energy Metabolism', 'Mitochondria', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5625143647193909]
+Labels: ['Diabetes']
+Scores: [0.5530782341957092]
+Labels: ['Cancer']
+Scores: [0.6178703308105469]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5755234360694885]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5673628449440002]
+Labels: ['Mental Health']
+Scores: [0.5555646419525146]
+Labels: ['Diabetes type 1']
+Scores: [0.5463399887084961]
+Labels: ['Diabetes type 2']
+Scores: [0.5518172979354858]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735979
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aneuploidy', 'Machine Learning', 'Neoplasms', 'Myristoylated Alanine-Rich C Kinase Substrate', 'Membrane Proteins', 'Gene Expression Regulation, Neoplastic', 'Cell Proliferation', 'Cytoskeletal Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03315558284521103]
+Labels: ['Diabetes']
+Scores: [0.006589366123080254]
+Labels: ['Cancer']
+Scores: [0.8017212152481079]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0030561250168830156]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023344386368989944]
+Labels: ['Mental Health']
+Scores: [0.008273223415017128]
+Labels: ['Diabetes type 1']
+Scores: [0.0020176968537271023]
+Labels: ['Diabetes type 2']
+Scores: [0.002173923421651125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735978
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunity, Innate', 'Tumor-Associated Macrophages', 'Neoplasms', 'Tumor Microenvironment', 'Phenotype', 'Animals', 'Epigenesis, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7780553102493286]
+Labels: ['Diabetes']
+Scores: [0.7815757989883423]
+Labels: ['Cancer']
+Scores: [0.7876046895980835]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8101996779441833]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8082661628723145]
+Labels: ['Mental Health']
+Scores: [0.7697483897209167]
+Labels: ['Diabetes type 1']
+Scores: [0.7893204092979431]
+Labels: ['Diabetes type 2']
+Scores: [0.7903116345405579]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39735682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Disease Progression', 'Heterogeneous-Nuclear Ribonucleoprotein Group C', 'Neoplasms', 'Tumor Microenvironment', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Liver Neoplasms', 'Cell Line, Tumor', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0990782156586647]
+Labels: ['Diabetes']
+Scores: [0.014812828041613102]
+Labels: ['Cancer']
+Scores: [0.6608539819717407]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04620054364204407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.114303819835186]
+Labels: ['Mental Health']
+Scores: [0.02236684411764145]
+Labels: ['Diabetes type 1']
+Scores: [0.016586119309067726]
+Labels: ['Diabetes type 2']
+Scores: [0.018481044098734856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735681
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Nanoparticles', 'Drug Delivery Systems', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6619911789894104]
+Labels: ['Diabetes']
+Scores: [0.7398413419723511]
+Labels: ['Cancer']
+Scores: [0.8054692149162292]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7684656977653503]
+Labels: ['Cardiovascular diseases']
+Scores: [0.774803102016449]
+Labels: ['Mental Health']
+Scores: [0.6616031527519226]
+Labels: ['Diabetes type 1']
+Scores: [0.740388035774231]
+Labels: ['Diabetes type 2']
+Scores: [0.7428593635559082]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39735536
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'CD28 Antigens', 'Mice', 'Cell Adhesion Molecules', 'Neoplasms', 'Lymphocyte Activation', 'Cell Line, Tumor', 'Immunotherapy, Adoptive', 'T-Lymphocytes', 'Receptors, Antigen, T-Cell', 'Xenograft Model Antitumor Assays', 'Female', 'Nectins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08522562682628632]
+Labels: ['Diabetes']
+Scores: [0.020019641146063805]
+Labels: ['Cancer']
+Scores: [0.10899794101715088]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06277301162481308]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1454927772283554]
+Labels: ['Mental Health']
+Scores: [0.0351174920797348]
+Labels: ['Diabetes type 1']
+Scores: [0.015166853554546833]
+Labels: ['Diabetes type 2']
+Scores: [0.01646105758845806]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735534
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Immunotherapy', 'Neoplasms', 'Combined Modality Therapy', 'Humans', 'Ultrasonic Therapy', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01983214169740677]
+Labels: ['Diabetes']
+Scores: [0.014242630451917648]
+Labels: ['Cancer']
+Scores: [0.14422118663787842]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022301465272903442]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06028025224804878]
+Labels: ['Mental Health']
+Scores: [0.02641245350241661]
+Labels: ['Diabetes type 1']
+Scores: [0.008151663467288017]
+Labels: ['Diabetes type 2']
+Scores: [0.00770415086299181]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06345556676387787]
+Labels: ['Diabetes']
+Scores: [0.017011838033795357]
+Labels: ['Cancer']
+Scores: [0.5040116906166077]
+Labels: ['Chronic respiratory disease']
+Scores: [0.050140030682086945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06562960147857666]
+Labels: ['Mental Health']
+Scores: [0.03223561868071556]
+Labels: ['Diabetes type 1']
+Scores: [0.023641107603907585]
+Labels: ['Diabetes type 2']
+Scores: [0.026877719908952713]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734197
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', '5-Methylcytosine', 'DNA Methylation', 'DNA Transposable Elements', 'Epigenesis, Genetic', 'Nanopore Sequencing', 'Nanopores', 'Neoplasms', 'Sequence Analysis, DNA']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8501994609832764]
+Labels: ['Diabetes']
+Scores: [0.8618922233581543]
+Labels: ['Cancer']
+Scores: [0.9064834117889404]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8632029294967651]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8558756113052368]
+Labels: ['Mental Health']
+Scores: [0.8577243685722351]
+Labels: ['Diabetes type 1']
+Scores: [0.8563470840454102]
+Labels: ['Diabetes type 2']
+Scores: [0.8572918176651001]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39733511
+Predictions: ['Cancer']
+MeshTerm: ['Protein-Arginine N-Methyltransferases', 'Humans', 'Enzyme Inhibitors', 'Neoplasms', 'Antineoplastic Agents', 'Molecular Structure', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9577049612998962]
+Labels: ['Diabetes']
+Scores: [0.9433482885360718]
+Labels: ['Cancer']
+Scores: [0.9630129337310791]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9573051929473877]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9501955509185791]
+Labels: ['Mental Health']
+Scores: [0.9252156019210815]
+Labels: ['Diabetes type 1']
+Scores: [0.9406636357307434]
+Labels: ['Diabetes type 2']
+Scores: [0.9426732659339905]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39733440
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Occupational Exposure', 'Occupational Diseases', 'Carcinogens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2546301484107971]
+Labels: ['Diabetes']
+Scores: [0.5677032470703125]
+Labels: ['Cancer']
+Scores: [0.8573716878890991]
+Labels: ['Chronic respiratory disease']
+Scores: [0.37266823649406433]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7914693355560303]
+Labels: ['Mental Health']
+Scores: [0.1283186823129654]
+Labels: ['Diabetes type 1']
+Scores: [0.5318599343299866]
+Labels: ['Diabetes type 2']
+Scores: [0.5114849805831909]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733439
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Antigen Presentation', 'Immunotherapy', 'Neoplasms', 'Antigens, Neoplasm', 'Immune Checkpoint Inhibitors', 'HLA Antigens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7365821003913879]
+Labels: ['Diabetes']
+Scores: [0.7465736269950867]
+Labels: ['Cancer']
+Scores: [0.7706939578056335]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7604267597198486]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7681864500045776]
+Labels: ['Mental Health']
+Scores: [0.7047490477561951]
+Labels: ['Diabetes type 1']
+Scores: [0.7318781614303589]
+Labels: ['Diabetes type 2']
+Scores: [0.7321195006370544]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39733429
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Registries', 'Female', 'Male', 'Tunisia', 'Neoplasms', 'Incidence', 'Middle Aged', 'Adult', 'Aged', 'Adolescent', 'Young Adult', 'Infant, Newborn', 'Infant', 'Child', 'Child, Preschool', 'Follow-Up Studies', 'Prognosis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02915387973189354]
+Labels: ['Diabetes']
+Scores: [0.02375755086541176]
+Labels: ['Cancer']
+Scores: [0.8427373170852661]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024433713406324387]
+Labels: ['Cardiovascular diseases']
+Scores: [0.24500234425067902]
+Labels: ['Mental Health']
+Scores: [0.03660134598612785]
+Labels: ['Diabetes type 1']
+Scores: [0.014150834642350674]
+Labels: ['Diabetes type 2']
+Scores: [0.012637016363441944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733076
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Mitochondria', 'Gene Expression Regulation, Neoplastic', 'Biomarkers, Tumor', 'Prognosis', 'Genomics', 'Cell Proliferation', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6804084181785583]
+Labels: ['Diabetes']
+Scores: [0.6951519250869751]
+Labels: ['Cancer']
+Scores: [0.7330108284950256]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6876389384269714]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6690157651901245]
+Labels: ['Mental Health']
+Scores: [0.6861720681190491]
+Labels: ['Diabetes type 1']
+Scores: [0.6572487354278564]
+Labels: ['Diabetes type 2']
+Scores: [0.6606265902519226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732961
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Transcription Factors', 'Proto-Oncogene Proteins c-ets', 'Prognosis', 'Neoplasms', 'Gene Expression Regulation, Neoplastic', 'Tumor Microenvironment', 'Adenovirus E1A Proteins', 'DNA-Binding Proteins', 'Kaplan-Meier Estimate', 'Gene Expression Profiling']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.813342273235321]
+Labels: ['Diabetes']
+Scores: [0.7967499494552612]
+Labels: ['Cancer']
+Scores: [0.8253830671310425]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8051121830940247]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7975188493728638]
+Labels: ['Mental Health']
+Scores: [0.7872794270515442]
+Labels: ['Diabetes type 1']
+Scores: [0.7828846573829651]
+Labels: ['Diabetes type 2']
+Scores: [0.7863257527351379]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39732661
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Fever of Unknown Origin', 'Prospective Studies', 'Female', 'Male', 'China', 'Middle Aged', 'Adult', 'Aged', 'Neoplasms', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1230015978217125]
+Labels: ['Diabetes']
+Scores: [0.011629427783191204]
+Labels: ['Cancer']
+Scores: [0.041312169283628464]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016473660245537758]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06734014302492142]
+Labels: ['Mental Health']
+Scores: [0.035559557378292084]
+Labels: ['Diabetes type 1']
+Scores: [0.0072585116140544415]
+Labels: ['Diabetes type 2']
+Scores: [0.007738256826996803]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732529
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Animals', 'Signal Transduction', 'Cytokines', 'Immunotherapy', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27661991119384766]
+Labels: ['Diabetes']
+Scores: [0.1547597497701645]
+Labels: ['Cancer']
+Scores: [0.7048311233520508]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2729418873786926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3674828112125397]
+Labels: ['Mental Health']
+Scores: [0.1669812649488449]
+Labels: ['Diabetes type 1']
+Scores: [0.1403317153453827]
+Labels: ['Diabetes type 2']
+Scores: [0.14323611557483673]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732497
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Fear', 'Schizophrenia', 'Psychotic Disorders', 'Neoplasms', 'Psychosocial Intervention', 'Neoplasm Recurrence, Local', 'Research Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06548480689525604]
+Labels: ['Diabetes']
+Scores: [0.029963303357362747]
+Labels: ['Cancer']
+Scores: [0.03977074474096298]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037669386714696884]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07079954445362091]
+Labels: ['Mental Health']
+Scores: [0.030108794569969177]
+Labels: ['Diabetes type 1']
+Scores: [0.03071577474474907]
+Labels: ['Diabetes type 2']
+Scores: [0.031002510339021683]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732363
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'T-Lymphocytes', 'Cell Movement', 'Immunotherapy, Adoptive', 'Tumor Microenvironment', 'Receptors, Chimeric Antigen', 'Neoplasms', 'Microfluidics', 'Lab-On-A-Chip Devices', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21892979741096497]
+Labels: ['Diabetes']
+Scores: [0.09134098142385483]
+Labels: ['Cancer']
+Scores: [0.19348295032978058]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1524093598127365]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23029613494873047]
+Labels: ['Mental Health']
+Scores: [0.17227637767791748]
+Labels: ['Diabetes type 1']
+Scores: [0.11820627003908157]
+Labels: ['Diabetes type 2']
+Scores: [0.1141359880566597]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6188867688179016]
+Labels: ['Diabetes']
+Scores: [0.5534266829490662]
+Labels: ['Cancer']
+Scores: [0.8930761814117432]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5799451470375061]
+Labels: ['Cardiovascular diseases']
+Scores: [0.798305332660675]
+Labels: ['Mental Health']
+Scores: [0.46111947298049927]
+Labels: ['Diabetes type 1']
+Scores: [0.442403107881546]
+Labels: ['Diabetes type 2']
+Scores: [0.4425255060195923]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mitochondria', 'Neoplasms', 'Cytoskeleton', 'Animals', 'Autophagy', 'Apoptosis', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09367259591817856]
+Labels: ['Diabetes']
+Scores: [0.4106290936470032]
+Labels: ['Cancer']
+Scores: [0.950880229473114]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6664305329322815]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6444426774978638]
+Labels: ['Mental Health']
+Scores: [0.08677683025598526]
+Labels: ['Diabetes type 1']
+Scores: [0.31912142038345337]
+Labels: ['Diabetes type 2']
+Scores: [0.3159855902194977]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732132
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Animals', 'Complement Activation', 'Tumor Microenvironment', 'Complement C4', 'Biomarkers, Tumor', 'Immunotherapy', 'Complement C4b', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13864274322986603]
+Labels: ['Diabetes']
+Scores: [0.28695225715637207]
+Labels: ['Cancer']
+Scores: [0.8583695292472839]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2354029417037964]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2929633557796478]
+Labels: ['Mental Health']
+Scores: [0.24574297666549683]
+Labels: ['Diabetes type 1']
+Scores: [0.23243828117847443]
+Labels: ['Diabetes type 2']
+Scores: [0.2530249059200287]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731918
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Immunotherapy', 'Tumor Microenvironment', 'CD8-Positive T-Lymphocytes', 'Leukocytes, Mononuclear', 'Male', 'Female', 'Receptors, Antigen, T-Cell', 'Neoplasms', 'Middle Aged', 'Transcriptome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004950573667883873]
+Labels: ['Diabetes']
+Scores: [0.0027863301802426577]
+Labels: ['Cancer']
+Scores: [0.007246917579323053]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004464054945856333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01903480291366577]
+Labels: ['Mental Health']
+Scores: [0.007056233938783407]
+Labels: ['Diabetes type 1']
+Scores: [0.0033756878692656755]
+Labels: ['Diabetes type 2']
+Scores: [0.003923120908439159]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731836
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'MicroRNAs', 'Hydrogels', 'HeLa Cells', 'DNA', 'Doxorubicin', 'PTEN Phosphohydrolase', 'Cell Survival', 'Neoplasms', 'Apoptosis Regulatory Proteins', 'RNA-Binding Proteins', 'Antineoplastic Agents', 'Gene Expression Regulation, Neoplastic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.588357150554657]
+Labels: ['Diabetes']
+Scores: [0.6216405034065247]
+Labels: ['Cancer']
+Scores: [0.6441047191619873]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6422604322433472]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6478379368782043]
+Labels: ['Mental Health']
+Scores: [0.6265875697135925]
+Labels: ['Diabetes type 1']
+Scores: [0.6146343350410461]
+Labels: ['Diabetes type 2']
+Scores: [0.6167848706245422]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731788
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Antineoplastic Agents', 'Peptides', 'Animals', 'Drug Development', 'Molecular Structure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3610572814941406]
+Labels: ['Diabetes']
+Scores: [0.23030132055282593]
+Labels: ['Cancer']
+Scores: [0.8394325375556946]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4921827018260956]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5421167612075806]
+Labels: ['Mental Health']
+Scores: [0.14150531589984894]
+Labels: ['Diabetes type 1']
+Scores: [0.27586477994918823]
+Labels: ['Diabetes type 2']
+Scores: [0.29118862748146057]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731736
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Neoplasms', 'Genomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012895127758383751]
+Labels: ['Diabetes']
+Scores: [0.0013481887290254235]
+Labels: ['Cancer']
+Scores: [0.002411279361695051]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016253950307145715]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004725432023406029]
+Labels: ['Mental Health']
+Scores: [0.001994336023926735]
+Labels: ['Diabetes type 1']
+Scores: [0.0012762120459228754]
+Labels: ['Diabetes type 2']
+Scores: [0.0012821904383599758]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731651
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Quality of Life', 'Female', 'Male', 'Hydrocortisone', 'Qigong', 'Middle Aged', 'Neoplasms', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16534532606601715]
+Labels: ['Diabetes']
+Scores: [0.04289482533931732]
+Labels: ['Cancer']
+Scores: [0.7767151594161987]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1536886990070343]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3359454870223999]
+Labels: ['Mental Health']
+Scores: [0.08028029650449753]
+Labels: ['Diabetes type 1']
+Scores: [0.047162286937236786]
+Labels: ['Diabetes type 2']
+Scores: [0.05031567066907883]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731471
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Endoplasmic Reticulum Chaperone BiP', 'Single-Domain Antibodies', 'Recombinant Fusion Proteins', 'Immunotoxins', 'Apoptosis', 'Exotoxins', 'Animals', 'Heat-Shock Proteins', 'Cell Line, Tumor', 'Camelus', 'Breast Neoplasms', 'Female', 'ADP Ribose Transferases', 'Bacterial Toxins', 'HEK293 Cells', 'Pseudomonas aeruginosa Exotoxin A', 'Neoplasms', 'MCF-7 Cells', 'Virulence Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06524873524904251]
+Labels: ['Diabetes']
+Scores: [0.012305226176977158]
+Labels: ['Cancer']
+Scores: [0.8229089379310608]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01560172624886036]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1398094892501831]
+Labels: ['Mental Health']
+Scores: [0.017094464972615242]
+Labels: ['Diabetes type 1']
+Scores: [0.00948421936482191]
+Labels: ['Diabetes type 2']
+Scores: [0.008498120121657848]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Organoids', 'Neoplasms', 'Tumor Microenvironment', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6676098704338074]
+Labels: ['Diabetes']
+Scores: [0.6892232298851013]
+Labels: ['Cancer']
+Scores: [0.714934766292572]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7056624889373779]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7106305956840515]
+Labels: ['Mental Health']
+Scores: [0.6759946942329407]
+Labels: ['Diabetes type 1']
+Scores: [0.6987776756286621]
+Labels: ['Diabetes type 2']
+Scores: [0.6999508142471313]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731135
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Mutation', 'Tumor Microenvironment', 'Histone Demethylases', 'Biomarkers, Tumor', 'Prognosis', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4823305904865265]
+Labels: ['Diabetes']
+Scores: [0.5773742198944092]
+Labels: ['Cancer']
+Scores: [0.8433389663696289]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6896102428436279]
+Labels: ['Cardiovascular diseases']
+Scores: [0.829312801361084]
+Labels: ['Mental Health']
+Scores: [0.4868413507938385]
+Labels: ['Diabetes type 1']
+Scores: [0.6588621139526367]
+Labels: ['Diabetes type 2']
+Scores: [0.6754839420318604]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731127
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'RNA Editing', 'Neoplasms', 'Inosine', 'Adenosine', 'Animals', 'Gene Expression Regulation, Neoplastic', 'Adenosine Deaminase', 'Biomarkers, Tumor', 'MicroRNAs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9717687368392944]
+Labels: ['Diabetes']
+Scores: [0.975542426109314]
+Labels: ['Cancer']
+Scores: [0.9809028506278992]
+Labels: ['Chronic respiratory disease']
+Scores: [0.977150022983551]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9773588180541992]
+Labels: ['Mental Health']
+Scores: [0.9710512757301331]
+Labels: ['Diabetes type 1']
+Scores: [0.9778584241867065]
+Labels: ['Diabetes type 2']
+Scores: [0.978363573551178]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39731088
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Palliative Care', 'Aged', 'Middle Aged', 'Neoplasms', 'Terminal Care', 'Aged, 80 and over', 'Finland', 'Hospital Costs', 'Ambulatory Care Facilities', 'Registries', 'Adult', 'Ambulatory Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15197819471359253]
+Labels: ['Diabetes']
+Scores: [0.020880142226815224]
+Labels: ['Cancer']
+Scores: [0.8392017483711243]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05719820782542229]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12268491834402084]
+Labels: ['Mental Health']
+Scores: [0.03472644090652466]
+Labels: ['Diabetes type 1']
+Scores: [0.007664003409445286]
+Labels: ['Diabetes type 2']
+Scores: [0.008580648340284824]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.31362536549568176]
+Labels: ['Diabetes']
+Scores: [0.07940257340669632]
+Labels: ['Cancer']
+Scores: [0.6606782674789429]
+Labels: ['Chronic respiratory disease']
+Scores: [0.28404924273490906]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7522475719451904]
+Labels: ['Mental Health']
+Scores: [0.08225882798433304]
+Labels: ['Diabetes type 1']
+Scores: [0.07477538287639618]
+Labels: ['Diabetes type 2']
+Scores: [0.07468057423830032]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731019
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Algorithms', 'Deep Learning', 'Gene Expression Profiling', 'Computational Biology', 'Databases, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02094901166856289]
+Labels: ['Diabetes']
+Scores: [0.03957265242934227]
+Labels: ['Cancer']
+Scores: [0.9466485977172852]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07031349837779999]
+Labels: ['Cardiovascular diseases']
+Scores: [0.22247524559497833]
+Labels: ['Mental Health']
+Scores: [0.021610239520668983]
+Labels: ['Diabetes type 1']
+Scores: [0.034006331115961075]
+Labels: ['Diabetes type 2']
+Scores: [0.03933270275592804]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730977
+Predictions: ['Cancer']
+MeshTerm: ['Copper', 'Humans', 'Metal Nanoparticles', 'Green Chemistry Technology', 'Neoplasms', 'Antineoplastic Agents', 'Drug Resistance, Neoplasm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8520170450210571]
+Labels: ['Diabetes']
+Scores: [0.8028962016105652]
+Labels: ['Cancer']
+Scores: [0.9885705709457397]
+Labels: ['Chronic respiratory disease']
+Scores: [0.905308723449707]
+Labels: ['Cardiovascular diseases']
+Scores: [0.93247389793396]
+Labels: ['Mental Health']
+Scores: [0.36577320098876953]
+Labels: ['Diabetes type 1']
+Scores: [0.6689952611923218]
+Labels: ['Diabetes type 2']
+Scores: [0.6535979509353638]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39730928
+Predictions: ['Cancer']
+MeshTerm: ['Doxorubicin', 'Animals', 'Mice', 'Humans', 'Cell Line, Tumor', 'Immunotherapy', 'Neoplasms', 'Drug Delivery Systems', 'Nanoparticles', 'Tumor Microenvironment', 'Biomimetics', 'Imiquimod', 'Serotonin', 'Antineoplastic Agents', 'Combined Modality Therapy', 'Mice, Inbred BALB C']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8144989013671875]
+Labels: ['Diabetes']
+Scores: [0.8098276853561401]
+Labels: ['Cancer']
+Scores: [0.8416764140129089]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8185627460479736]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8219600319862366]
+Labels: ['Mental Health']
+Scores: [0.8258198499679565]
+Labels: ['Diabetes type 1']
+Scores: [0.8008809089660645]
+Labels: ['Diabetes type 2']
+Scores: [0.7991875410079956]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39730772
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Female', 'Male', 'Adult', 'Middle Aged', 'Return to Work', 'Social Stigma', 'Social Support', 'Adolescent', 'Young Adult', 'Adaptation, Psychological', 'Health Literacy', 'Neoplasms', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6829756498336792]
+Labels: ['Diabetes']
+Scores: [0.6733285188674927]
+Labels: ['Cancer']
+Scores: [0.6960358619689941]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6792502999305725]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6829441785812378]
+Labels: ['Mental Health']
+Scores: [0.6731843948364258]
+Labels: ['Diabetes type 1']
+Scores: [0.6824456453323364]
+Labels: ['Diabetes type 2']
+Scores: [0.6835068464279175]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730706
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Denmark', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Cohort Studies', 'Environmental Pollution', 'Young Adult', 'Child, Preschool', 'Infant, Newborn', 'Environmental Exposure', 'Adolescent', 'Child', 'Infant', 'Aged, 80 and over', 'Neoplasms', 'Cause of Death']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.46381324529647827]
+Labels: ['Diabetes']
+Scores: [0.5317333936691284]
+Labels: ['Cancer']
+Scores: [0.5242829918861389]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5292086005210876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5183388590812683]
+Labels: ['Mental Health']
+Scores: [0.5047896504402161]
+Labels: ['Diabetes type 1']
+Scores: [0.5474130511283875]
+Labels: ['Diabetes type 2']
+Scores: [0.5406202077865601]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730699
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Machine Learning', 'Antineoplastic Agents', 'Precision Medicine', 'Neoplasms', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2975340485572815]
+Labels: ['Diabetes']
+Scores: [0.22925426065921783]
+Labels: ['Cancer']
+Scores: [0.2766197919845581]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2842605710029602]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2855965793132782]
+Labels: ['Mental Health']
+Scores: [0.24215684831142426]
+Labels: ['Diabetes type 1']
+Scores: [0.25983497500419617]
+Labels: ['Diabetes type 2']
+Scores: [0.26715007424354553]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730637
+Predictions: ['Cancer']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'China', 'Drug-Related Side Effects and Adverse Reactions', 'East Asian People', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.620747447013855]
+Labels: ['Diabetes']
+Scores: [0.5788446068763733]
+Labels: ['Cancer']
+Scores: [0.6468732953071594]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6042117476463318]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5704906582832336]
+Labels: ['Mental Health']
+Scores: [0.6195571422576904]
+Labels: ['Diabetes type 1']
+Scores: [0.5667304396629333]
+Labels: ['Diabetes type 2']
+Scores: [0.5728306174278259]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730328
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Mice', 'Immunotherapy', 'Humans', 'Immune Checkpoint Inhibitors', 'Female', 'Fimbriae Proteins', 'Programmed Cell Death 1 Receptor', 'Neoplasms', 'Mice, Inbred C57BL', 'Bacteria', 'Cell Line, Tumor', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8276160359382629]
+Labels: ['Diabetes']
+Scores: [0.7507166266441345]
+Labels: ['Cancer']
+Scores: [0.8598492741584778]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8082499504089355]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8079434633255005]
+Labels: ['Mental Health']
+Scores: [0.8023571968078613]
+Labels: ['Diabetes type 1']
+Scores: [0.7502487897872925]
+Labels: ['Diabetes type 2']
+Scores: [0.7484232187271118]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39730320
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Social Support', 'Neoplasms', 'Qualitative Research', 'Social Adjustment', 'Social Interaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39725640416145325]
+Labels: ['Diabetes']
+Scores: [0.3544233739376068]
+Labels: ['Cancer']
+Scores: [0.9630487561225891]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4747827649116516]
+Labels: ['Cardiovascular diseases']
+Scores: [0.37692517042160034]
+Labels: ['Mental Health']
+Scores: [0.21370868384838104]
+Labels: ['Diabetes type 1']
+Scores: [0.29200905561447144]
+Labels: ['Diabetes type 2']
+Scores: [0.31010815501213074]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04531954973936081]
+Labels: ['Diabetes']
+Scores: [0.008562394417822361]
+Labels: ['Cancer']
+Scores: [0.6962048411369324]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009994570165872574]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07214725762605667]
+Labels: ['Mental Health']
+Scores: [0.014462624676525593]
+Labels: ['Diabetes type 1']
+Scores: [0.00409717345610261]
+Labels: ['Diabetes type 2']
+Scores: [0.0041672177612781525]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016975808888673782]
+Labels: ['Diabetes']
+Scores: [0.010200726799666882]
+Labels: ['Cancer']
+Scores: [0.8702131509780884]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06936070322990417]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08791591972112656]
+Labels: ['Mental Health']
+Scores: [0.016896547749638557]
+Labels: ['Diabetes type 1']
+Scores: [0.010675721801817417]
+Labels: ['Diabetes type 2']
+Scores: [0.011105366982519627]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729909
+Predictions: ['Cancer']
+MeshTerm: ['Reactive Oxygen Species', 'Humans', 'Neoplasms', 'Magnetic Fields', 'Animals', 'Mitochondria', 'Electromagnetic Fields']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7218414545059204]
+Labels: ['Diabetes']
+Scores: [0.7132251858711243]
+Labels: ['Cancer']
+Scores: [0.7227601408958435]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7146598100662231]
+Labels: ['Cardiovascular diseases']
+Scores: [0.713809609413147]
+Labels: ['Mental Health']
+Scores: [0.7039021849632263]
+Labels: ['Diabetes type 1']
+Scores: [0.703860878944397]
+Labels: ['Diabetes type 2']
+Scores: [0.7038304209709167]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39729775
+Predictions: ['Cancer']
+MeshTerm: ['Granulocyte-Macrophage Colony-Stimulating Factor', 'Animals', 'RNA, Small Interfering', 'Immunotherapy', 'Mice', 'Macrophages', 'Cellular Reprogramming', 'Mice, Inbred C57BL', 'Neoplasms', 'Tumor Microenvironment', 'Cell Line, Tumor', 'Humans', 'Tumor-Associated Macrophages', 'Female', 'RAW 264.7 Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8986486792564392]
+Labels: ['Diabetes']
+Scores: [0.8979766964912415]
+Labels: ['Cancer']
+Scores: [0.9109444618225098]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9054295420646667]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9046965837478638]
+Labels: ['Mental Health']
+Scores: [0.8959669470787048]
+Labels: ['Diabetes type 1']
+Scores: [0.895293116569519]
+Labels: ['Diabetes type 2']
+Scores: [0.8975095748901367]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39729479
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Single-Cell Analysis', 'Lymphocytes, Tumor-Infiltrating', 'Neoplasms', 'RNA-Seq', 'T-Lymphocytes, Regulatory', 'Transcriptome', 'Gene Expression Profiling', 'Protein Interaction Maps', 'Sequence Analysis, RNA', 'Gene Regulatory Networks', 'Gene Expression Regulation, Neoplastic', 'Single-Cell Gene Expression Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8276441693305969]
+Labels: ['Diabetes']
+Scores: [0.8262770771980286]
+Labels: ['Cancer']
+Scores: [0.8364732265472412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8311823010444641]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8240729570388794]
+Labels: ['Mental Health']
+Scores: [0.818333625793457]
+Labels: ['Diabetes type 1']
+Scores: [0.8371831178665161]
+Labels: ['Diabetes type 2']
+Scores: [0.8355246782302856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39729462
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Maytansine', 'Immunoconjugates', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'Folate Receptor 1', 'Progression-Free Survival']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04443824291229248]
+Labels: ['Diabetes']
+Scores: [0.0252247154712677]
+Labels: ['Cancer']
+Scores: [0.06936941295862198]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0344928503036499]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07007931172847748]
+Labels: ['Mental Health']
+Scores: [0.04034655541181564]
+Labels: ['Diabetes type 1']
+Scores: [0.03543831408023834]
+Labels: ['Diabetes type 2']
+Scores: [0.035412102937698364]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729341
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Animals', 'Mice', 'Neoplasms', 'Drug Carriers', 'Cell Line, Tumor', 'Macromolecular Substances', 'Protein Binding', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.678809404373169]
+Labels: ['Diabetes']
+Scores: [0.7763535976409912]
+Labels: ['Cancer']
+Scores: [0.7260635495185852]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6847220063209534]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7472828030586243]
+Labels: ['Mental Health']
+Scores: [0.5047309994697571]
+Labels: ['Diabetes type 1']
+Scores: [0.7640756964683533]
+Labels: ['Diabetes type 2']
+Scores: [0.7553480267524719]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39729330
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Child', 'Neoplasms', 'Gait Disorders, Neurologic', 'Antineoplastic Agents', 'Gait', 'Range of Motion, Articular', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07403722405433655]
+Labels: ['Diabetes']
+Scores: [0.02096414379775524]
+Labels: ['Cancer']
+Scores: [0.9280012845993042]
+Labels: ['Chronic respiratory disease']
+Scores: [0.036968883126974106]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0907161757349968]
+Labels: ['Mental Health']
+Scores: [0.07762060314416885]
+Labels: ['Diabetes type 1']
+Scores: [0.024934804067015648]
+Labels: ['Diabetes type 2']
+Scores: [0.0214218907058239]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729314
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Radiation Oncology', 'Radiologists', 'Peer Review', 'Peer Review, Health Care', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06052521616220474]
+Labels: ['Diabetes']
+Scores: [0.010698791593313217]
+Labels: ['Cancer']
+Scores: [0.028003334999084473]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021669967100024223]
+Labels: ['Cardiovascular diseases']
+Scores: [0.049743495881557465]
+Labels: ['Mental Health']
+Scores: [0.018757177516818047]
+Labels: ['Diabetes type 1']
+Scores: [0.010206793434917927]
+Labels: ['Diabetes type 2']
+Scores: [0.011403527110815048]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727835
+Predictions: ['Cancer']
+MeshTerm: ['Biosensing Techniques', 'Humans', 'Drug Discovery', 'Neoplasms', 'Antineoplastic Agents', 'Fluorescence', 'Fluorescence Resonance Energy Transfer', 'Signal Transduction', 'Luminescent Measurements', 'Pentacyclic Triterpenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.874612033367157]
+Labels: ['Diabetes']
+Scores: [0.8784876465797424]
+Labels: ['Cancer']
+Scores: [0.902705192565918]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8895779252052307]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8813875913619995]
+Labels: ['Mental Health']
+Scores: [0.8606613874435425]
+Labels: ['Diabetes type 1']
+Scores: [0.8842017650604248]
+Labels: ['Diabetes type 2']
+Scores: [0.8842012286186218]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39727719
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neutropenia', 'Antineoplastic Agents', 'Anemia', 'Thrombocytopenia', 'Neoplasms', 'Intercellular Signaling Peptides and Proteins', 'Granulocyte Colony-Stimulating Factor', 'Receptors, Thrombopoietin', 'Cytopenia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08447153866291046]
+Labels: ['Diabetes']
+Scores: [0.08701632916927338]
+Labels: ['Cancer']
+Scores: [0.4857295751571655]
+Labels: ['Chronic respiratory disease']
+Scores: [0.35772705078125]
+Labels: ['Cardiovascular diseases']
+Scores: [0.43257957696914673]
+Labels: ['Mental Health']
+Scores: [0.08184000104665756]
+Labels: ['Diabetes type 1']
+Scores: [0.06166910007596016]
+Labels: ['Diabetes type 2']
+Scores: [0.07141874730587006]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727703
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Early Detection of Cancer', 'Female', 'Male', 'Aged', 'Middle Aged', 'Neoplasms', 'Oncology Nursing', 'Health Services Accessibility', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22706641256809235]
+Labels: ['Diabetes']
+Scores: [0.18036127090454102]
+Labels: ['Cancer']
+Scores: [0.8551040887832642]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3018765449523926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3288038372993469]
+Labels: ['Mental Health']
+Scores: [0.11543454229831696]
+Labels: ['Diabetes type 1']
+Scores: [0.14634333550930023]
+Labels: ['Diabetes type 2']
+Scores: [0.15347449481487274]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727701
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Frailty', 'Neoplasms', 'Retrospective Studies', 'Aged, 80 and over', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1678825318813324]
+Labels: ['Diabetes']
+Scores: [0.1337074637413025]
+Labels: ['Cancer']
+Scores: [0.38429105281829834]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23415474593639374]
+Labels: ['Cardiovascular diseases']
+Scores: [0.34056705236434937]
+Labels: ['Mental Health']
+Scores: [0.15995651483535767]
+Labels: ['Diabetes type 1']
+Scores: [0.1523056924343109]
+Labels: ['Diabetes type 2']
+Scores: [0.1424311101436615]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727700
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Neoplasms', 'Patient Reported Outcome Measures', 'Psychometrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20299020409584045]
+Labels: ['Diabetes']
+Scores: [0.20219814777374268]
+Labels: ['Cancer']
+Scores: [0.21659019589424133]
+Labels: ['Chronic respiratory disease']
+Scores: [0.20835375785827637]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20697641372680664]
+Labels: ['Mental Health']
+Scores: [0.1987270563840866]
+Labels: ['Diabetes type 1']
+Scores: [0.20238356292247772]
+Labels: ['Diabetes type 2']
+Scores: [0.20255540311336517]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727690
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Empathy', 'Neoplasms', 'Nurse-Patient Relations', 'Oncology Nursing', 'Qualitative Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36822637915611267]
+Labels: ['Diabetes']
+Scores: [0.23310552537441254]
+Labels: ['Cancer']
+Scores: [0.4466743767261505]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22324906289577484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2680841386318207]
+Labels: ['Mental Health']
+Scores: [0.08040553331375122]
+Labels: ['Diabetes type 1']
+Scores: [0.11237241327762604]
+Labels: ['Diabetes type 2']
+Scores: [0.11290018260478973]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727688
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Neoplasms', 'Cross-Sectional Studies', 'Male', 'Female', 'Malnutrition', 'Aged, 80 and over', 'Nutritional Status', 'Surveys and Questionnaires', 'Nutrition Assessment', 'Diet', 'Symptom Burden']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.189242422580719]
+Labels: ['Diabetes']
+Scores: [0.08882256597280502]
+Labels: ['Cancer']
+Scores: [0.7247356176376343]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1664050668478012]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19118203222751617]
+Labels: ['Mental Health']
+Scores: [0.06283298879861832]
+Labels: ['Diabetes type 1']
+Scores: [0.07151241600513458]
+Labels: ['Diabetes type 2']
+Scores: [0.07350669056177139]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727686
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Exercise', 'Exercise Therapy', 'Neoplasms', 'Quality of Life', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4219893217086792]
+Labels: ['Diabetes']
+Scores: [0.3452814519405365]
+Labels: ['Cancer']
+Scores: [0.3914869427680969]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3565717935562134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3523102402687073]
+Labels: ['Mental Health']
+Scores: [0.34626391530036926]
+Labels: ['Diabetes type 1']
+Scores: [0.3496205806732178]
+Labels: ['Diabetes type 2']
+Scores: [0.3505514860153198]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727684
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Methadone', 'Neuralgia', 'Cancer Pain', 'Analgesics, Opioid', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11758390814065933]
+Labels: ['Diabetes']
+Scores: [0.023972198367118835]
+Labels: ['Cancer']
+Scores: [0.8148531317710876]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01985848695039749]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03257276117801666]
+Labels: ['Mental Health']
+Scores: [0.03197082132101059]
+Labels: ['Diabetes type 1']
+Scores: [0.01295528095215559]
+Labels: ['Diabetes type 2']
+Scores: [0.013523426838219166]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727683
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Cancer Survivors', 'Male', 'Adult', 'Adolescent', 'Neoplasms', 'Young Adult', 'Fertility', 'Cohort Studies', 'Surveys and Questionnaires', 'Canada', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2584770917892456]
+Labels: ['Diabetes']
+Scores: [0.1300499141216278]
+Labels: ['Cancer']
+Scores: [0.6782351732254028]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3501574993133545]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3324611485004425]
+Labels: ['Mental Health']
+Scores: [0.08286315202713013]
+Labels: ['Diabetes type 1']
+Scores: [0.14138901233673096]
+Labels: ['Diabetes type 2']
+Scores: [0.14752602577209473]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Health Literacy', 'Fear', 'Neoplasms', 'Neoplasm Recurrence, Local', 'Disease Progression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7446544170379639]
+Labels: ['Diabetes']
+Scores: [0.7352550625801086]
+Labels: ['Cancer']
+Scores: [0.7451726794242859]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7390459179878235]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7346689105033875]
+Labels: ['Mental Health']
+Scores: [0.7282150983810425]
+Labels: ['Diabetes type 1']
+Scores: [0.7475029230117798]
+Labels: ['Diabetes type 2']
+Scores: [0.7466927766799927]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39727182
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patents as Topic', 'Ataxia Telangiectasia Mutated Proteins', 'Neoplasms', 'Antineoplastic Agents', 'Animals', 'Protein Kinase Inhibitors', 'Drug Development', 'Molecular Targeted Therapy', 'DNA Breaks, Double-Stranded']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13192357122898102]
+Labels: ['Diabetes']
+Scores: [0.0870509073138237]
+Labels: ['Cancer']
+Scores: [0.42614153027534485]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17600971460342407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2838495373725891]
+Labels: ['Mental Health']
+Scores: [0.11063306033611298]
+Labels: ['Diabetes type 1']
+Scores: [0.11242163181304932]
+Labels: ['Diabetes type 2']
+Scores: [0.11480548232793808]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726750
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cerebral Hemorrhage', 'Retrospective Studies', 'Middle Aged', 'Propensity Score', 'Risk Factors', 'Neoplasms', 'Aged', 'Prognosis', 'Neutrophils', 'Hemoglobins', 'China', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24082545936107635]
+Labels: ['Diabetes']
+Scores: [0.1250988245010376]
+Labels: ['Cancer']
+Scores: [0.3176323175430298]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19651596248149872]
+Labels: ['Cardiovascular diseases']
+Scores: [0.461624413728714]
+Labels: ['Mental Health']
+Scores: [0.1252555251121521]
+Labels: ['Diabetes type 1']
+Scores: [0.15669047832489014]
+Labels: ['Diabetes type 2']
+Scores: [0.13738887012004852]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726590
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Cell Movement', 'Immunotherapy', 'Mesenchymal Stem Cell Transplantation', 'Mesenchymal Stem Cells', 'Neoplasms', 'Tumor Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.279473215341568]
+Labels: ['Diabetes']
+Scores: [0.33548039197921753]
+Labels: ['Cancer']
+Scores: [0.505346953868866]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3979315161705017]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4197166860103607]
+Labels: ['Mental Health']
+Scores: [0.30943194031715393]
+Labels: ['Diabetes type 1']
+Scores: [0.2688533365726471]
+Labels: ['Diabetes type 2']
+Scores: [0.2719718813896179]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726589
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Bibliometrics', 'Methylation', 'Tumor Microenvironment', 'RNA', 'Lymphocytes, Tumor-Infiltrating', 'Animals', 'RNA Methylation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06915374845266342]
+Labels: ['Diabetes']
+Scores: [0.03162625804543495]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.07524101436138153]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12362533807754517]
+Labels: ['Mental Health']
+Scores: [0.05719425529241562]
+Labels: ['Diabetes type 1']
+Scores: [0.031109808012843132]
+Labels: ['Diabetes type 2']
+Scores: [0.032053086906671524]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726379
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Lipid Metabolism', 'Neoplasms', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39413437247276306]
+Labels: ['Diabetes']
+Scores: [0.29014086723327637]
+Labels: ['Cancer']
+Scores: [0.5662641525268555]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5264520049095154]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42196330428123474]
+Labels: ['Mental Health']
+Scores: [0.2007470428943634]
+Labels: ['Diabetes type 1']
+Scores: [0.31671664118766785]
+Labels: ['Diabetes type 2']
+Scores: [0.3505660593509674]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726369
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Reactive Oxygen Species', 'Glutathione', 'Photochemotherapy', 'Animals', 'Tumor Microenvironment', 'Nanostructures', 'Antineoplastic Agents', 'Photosensitizing Agents', 'Antioxidants', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6787400841712952]
+Labels: ['Diabetes']
+Scores: [0.4960888922214508]
+Labels: ['Cancer']
+Scores: [0.8976090550422668]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6848539113998413]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7301328182220459]
+Labels: ['Mental Health']
+Scores: [0.538842499256134]
+Labels: ['Diabetes type 1']
+Scores: [0.4493289589881897]
+Labels: ['Diabetes type 2']
+Scores: [0.4532601535320282]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726308
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Connective Tissue Diseases', 'Vasculitis', 'Immunologic Factors', 'Immunomodulating Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7124561667442322]
+Labels: ['Diabetes']
+Scores: [0.7055957913398743]
+Labels: ['Cancer']
+Scores: [0.71383136510849]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6984872817993164]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6932189464569092]
+Labels: ['Mental Health']
+Scores: [0.6913508772850037]
+Labels: ['Diabetes type 1']
+Scores: [0.7148009538650513]
+Labels: ['Diabetes type 2']
+Scores: [0.7152869701385498]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 4], [0, 3]]
+---------------------------------
+---------------------------------
+PMID: 39726258
+Predictions: ['Cancer']
+MeshTerm: ['Vaccinia virus', 'Humans', 'Animals', 'Cell Line, Tumor', 'Mice', 'Mice, Nude', 'Virus Replication', 'Oncolytic Viruses', 'Oncolytic Virotherapy', 'RNA-Binding Proteins', 'Neoplasms', 'Xenograft Model Antitumor Assays', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.32954394817352295]
+Labels: ['Diabetes']
+Scores: [0.2864343523979187]
+Labels: ['Cancer']
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+Scores: [0.2949903905391693]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.322593092918396]
+Labels: ['Diabetes type 1']
+Scores: [0.27882057428359985]
+Labels: ['Diabetes type 2']
+Scores: [0.28194957971572876]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4023602604866028]
+Labels: ['Diabetes']
+Scores: [0.4326448440551758]
+Labels: ['Cancer']
+Scores: [0.45809587836265564]
+Labels: ['Chronic respiratory disease']
+Scores: [0.44218552112579346]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4343072175979614]
+Labels: ['Mental Health']
+Scores: [0.43996721506118774]
+Labels: ['Diabetes type 1']
+Scores: [0.41343075037002563]
+Labels: ['Diabetes type 2']
+Scores: [0.41772717237472534]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726139
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Retrospective Studies', 'Female', 'Male', 'Japan', 'Middle Aged', 'Exercise', 'Smartphone', 'Databases, Factual', 'Aged', 'Adult', 'Cohort Studies', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20937910676002502]
+Labels: ['Diabetes']
+Scores: [0.0745682567358017]
+Labels: ['Cancer']
+Scores: [0.6436195969581604]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14673511683940887]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4661157429218292]
+Labels: ['Mental Health']
+Scores: [0.05810217559337616]
+Labels: ['Diabetes type 1']
+Scores: [0.07284370809793472]
+Labels: ['Diabetes type 2']
+Scores: [0.07162614166736603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726004
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Taiwan', 'Qualitative Research', 'Guideline Adherence', 'Practice Guidelines as Topic', 'Neoplasms', 'Quality of Health Care', 'Case Managers', 'Medical Oncology', 'Interviews as Topic', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4422331750392914]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3091966509819031]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.16335931420326233]
+Labels: ['Diabetes type 1']
+Scores: [0.18213368952274323]
+Labels: ['Diabetes type 2']
+Scores: [0.19021013379096985]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11451499164104462]
+Labels: ['Diabetes']
+Scores: [0.17952141165733337]
+Labels: ['Cancer']
+Scores: [0.22923563420772552]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4671417772769928]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3909369707107544]
+Labels: ['Mental Health']
+Scores: [0.23444056510925293]
+Labels: ['Diabetes type 1']
+Scores: [0.22889655828475952]
+Labels: ['Diabetes type 2']
+Scores: [0.24831317365169525]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016975808888673782]
+Labels: ['Diabetes']
+Scores: [0.010200726799666882]
+Labels: ['Cancer']
+Scores: [0.8702131509780884]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06936070322990417]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08791591972112656]
+Labels: ['Mental Health']
+Scores: [0.016896547749638557]
+Labels: ['Diabetes type 1']
+Scores: [0.010675721801817417]
+Labels: ['Diabetes type 2']
+Scores: [0.011105366982519627]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2761904001235962]
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.2549869120121002]
+Labels: ['Diabetes type 2']
+Scores: [0.261471152305603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.48060834407806396]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.22240719199180603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710468
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Allergens', 'Adult', 'Adolescent', 'Child', 'China', 'Middle Aged', 'Child, Preschool', 'Cross-Sectional Studies', 'Young Adult', 'Infant', 'Aged', 'Immunoglobulin E', 'Aged, 80 and over', 'Animals', 'Skin Diseases', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707265
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Quality of Life', 'China', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Incineration', 'Adult', 'Surveys and Questionnaires', 'Residence Characteristics', 'Aged', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nitrogen Dioxide', 'Republic of Korea', 'Cross-Over Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Air Pollutants', 'Young Adult', 'Adolescent', 'Child, Preschool', 'Child', 'Air Pollution', 'Infant', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39694698
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Scotland', 'Male', 'Female', 'Air Pollution', 'Prospective Studies', 'Middle Aged', 'Particulate Matter', 'Hospitalization', 'Environmental Exposure', 'Adult', 'Nitrogen Dioxide', 'Aged', 'Air Pollutants', 'Sulfur Dioxide', 'Cardiovascular Diseases', 'Longitudinal Studies', 'Young Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39694558
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nebulizers and Vaporizers', 'Child', 'Administration, Inhalation', 'Respiratory Tract Diseases', 'Asthma', 'Home Care Services', 'Practice Guidelines as Topic', 'Respiratory Therapy']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684326
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'Mast Cells', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7514668703079224]
+Labels: ['Diabetes']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684250
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Endocrine Disruptors', 'Humans', 'Respiratory System', 'Animals', 'Oxidative Stress', 'Respiratory Tract Diseases', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39661886
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Child', 'Male', 'Homeostasis', 'Minerals', 'Vitamins', 'Ascorbic Acid', 'Respiratory Tract Diseases', 'Vitamin D', 'Recurrence']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661885
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Male', 'Antioxidants', 'Female', 'Ascorbic Acid', 'Interleukin-6', 'Glutathione Peroxidase', 'Hydrocortisone', 'Ferritins', 'Tumor Necrosis Factor-alpha', 'Respiratory Tract Diseases', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39659714
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Workplace', 'Occupational Diseases', 'Respiratory Tract Diseases', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39643329
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Adult', 'Prospective Studies', 'Nitrogen Dioxide', 'China', 'Aged', 'Environmental Exposure', 'Incidence', 'Musculoskeletal Diseases', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Air Pollutants', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39642570
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mustard Gas', 'Male', 'Biomarkers', 'Cross-Sectional Studies', 'Adult', 'Chemical Warfare Agents', 'Veterans', 'Middle Aged', 'Respiratory Tract Diseases', 'Iran']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39640901
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Plants, Medicinal', 'Humans', 'Tanzania', 'Male', 'Female', 'Respiratory Tract Diseases', 'Adult', 'Middle Aged', 'Health Knowledge, Attitudes, Practice', 'Medicine, African Traditional', 'Aged', 'Phytotherapy']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633457
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Respiratory Tract Diseases', 'Nanoparticles', 'Microplastics', 'Inhalation Exposure', 'Air Pollutants', 'Animals', 'Respiratory System']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15144801139831543]
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.09804317355155945]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633418
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Hospitalization', 'Child', 'Male', 'Female', 'Air Pollutants', 'Cross-Over Studies', 'Child, Preschool', 'COVID-19', 'Respiratory Tract Diseases', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Infant', 'Sulfur Dioxide', 'SARS-CoV-2', 'Adolescent', 'Nitrogen Dioxide', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.006381213199347258]
+Labels: ['Diabetes type 2']
+Scores: [0.005111114587634802]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39632975
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Lung Neoplasms', 'Genome-Wide Association Study', 'Ketone Bodies', 'Polymorphism, Single Nucleotide', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006769078318029642]
+Labels: ['Diabetes']
+Scores: [0.006555936299264431]
+Labels: ['Cancer']
+Scores: [0.01566494069993496]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011948506347835064]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016652759164571762]
+Labels: ['Mental Health']
+Scores: [0.010914593003690243]
+Labels: ['Diabetes type 1']
+Scores: [0.009103579446673393]
+Labels: ['Diabetes type 2']
+Scores: [0.00965762510895729]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39620702
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Climate Change', 'Air Pollution', 'Particulate Matter', 'Environmental Exposure', 'Ozone', 'Respiratory Tract Diseases', 'Air Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07391346246004105]
+Labels: ['Diabetes']
+Scores: [0.010392679832875729]
+Labels: ['Cancer']
+Scores: [0.026209784671664238]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12060681730508804]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05686148628592491]
+Labels: ['Mental Health']
+Scores: [0.03553534299135208]
+Labels: ['Diabetes type 1']
+Scores: [0.0075536626391112804]
+Labels: ['Diabetes type 2']
+Scores: [0.011025049723684788]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39617287
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'Female', 'Hypersensitivity', 'Male', 'France', 'Dietary Exposure', 'Child', 'Cohort Studies', 'Child, Preschool', 'Pesticides', 'Respiratory Tract Diseases', 'Environmental Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.381941556930542]
+Labels: ['Diabetes']
+Scores: [0.3811838626861572]
+Labels: ['Cancer']
+Scores: [0.3910122811794281]
+Labels: ['Chronic respiratory disease']
+Scores: [0.40084895491600037]
+Labels: ['Cardiovascular diseases']
+Scores: [0.38977786898612976]
+Labels: ['Mental Health']
+Scores: [0.3868357539176941]
+Labels: ['Diabetes type 1']
+Scores: [0.3922526240348816]
+Labels: ['Diabetes type 2']
+Scores: [0.39457055926322937]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39615506
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Cardiovascular Diseases', 'Environmental Exposure', 'Fires', 'Global Burden of Disease', 'Global Health', 'Health Impact Assessment', 'Mortality', 'Ozone', 'Particulate Matter', 'Respiratory Tract Diseases', 'Wildfires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04443521797657013]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.005495033692568541]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.012704884633421898]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0010965113760903478]
+Labels: ['Diabetes type 2']
+Scores: [0.0010976719204336405]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39608993
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Australia', 'Adult', 'Adolescent', 'Hospitalization', 'Aged', 'Young Adult', 'Child', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Infant, Newborn', 'Aged, 80 and over', 'Sex Distribution', 'Age Distribution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042146552354097366]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.2435474693775177]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.05655693635344505]
+Labels: ['Diabetes type 1']
+Scores: [0.031025556847453117]
+Labels: ['Diabetes type 2']
+Scores: [0.037663936614990234]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39607106
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Brazil', 'Hospitalization', 'Adolescent', 'Spatio-Temporal Analysis', 'Child', 'Respiratory Tract Diseases', 'Young Adult', 'Adult', 'Socioeconomic Factors', 'Child, Preschool', 'Female', 'Male', 'Middle Aged', 'Aged', 'Cluster Analysis', 'Infant', 'Urban Population', 'Space-Time Clustering', 'Cities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.946960985660553]
+Labels: ['Diabetes']
+Scores: [0.9559751749038696]
+Labels: ['Cancer']
+Scores: [0.9562920928001404]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9686713814735413]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9446422457695007]
+Labels: ['Mental Health']
+Scores: [0.9390663504600525]
+Labels: ['Diabetes type 1']
+Scores: [0.9471745491027832]
+Labels: ['Diabetes type 2']
+Scores: [0.9456876516342163]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39603392
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Asia', 'Chronic Disease', 'Quality of Life', 'Qigong', 'Yoga', 'Tai Ji', 'Resistance Training', 'Respiratory Tract Diseases', 'Exercise Therapy', 'Exercise Tolerance', 'Practice Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.6244212985038757]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5934504270553589]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.597561240196228]
+Labels: ['Diabetes type 2']
+Scores: [0.5984606742858887]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578996
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Adult', 'Aged', 'China', 'Aged, 80 and over', 'Hand Strength', 'Respiratory Tract Diseases', 'Muscle, Skeletal', 'Muscle Strength', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2568340301513672]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3004969656467438]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17389550805091858]
+Labels: ['Mental Health']
+Scores: [0.08043065667152405]
+Labels: ['Diabetes type 1']
+Scores: [0.089952751994133]
+Labels: ['Diabetes type 2']
+Scores: [0.08669397979974747]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578779
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Signal Transduction', 'Animals', 'Smad5 Protein', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9374690055847168]
+Labels: ['Diabetes']
+Scores: [0.9406354427337646]
+Labels: ['Cancer']
+Scores: [0.9452382922172546]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9516000747680664]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9358095526695251]
+Labels: ['Mental Health']
+Scores: [0.9273517727851868]
+Labels: ['Diabetes type 1']
+Scores: [0.9363793730735779]
+Labels: ['Diabetes type 2']
+Scores: [0.9370477795600891]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39570415
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nutrition Surveys', 'Middle Aged', 'Male', 'Female', 'Adult', 'Aged', 'Antioxidants', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Aged, 80 and over', 'Infant', 'Chronic Disease', 'Child', 'Diet', 'United States', 'Respiratory Tract Diseases', 'Risk Factors', 'Mortality', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0474594421684742]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.003400393994525075]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570333
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Vietnam', 'Humans', 'Hospitalization', 'Male', 'Female', 'Middle Aged', 'Temperature', 'Aged', 'Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Young Adult', 'Infant', 'Cardiovascular Diseases', 'Child, Preschool', 'Child', 'Poverty', 'Infant, Newborn', 'Aged, 80 and over', 'Risk']
+Labels: ['Noncommunicable Diseases']
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+Scores: [0.44562846422195435]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4740438759326935]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.432386577129364]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.45802223682403564]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39566943
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fukushima Nuclear Accident', 'Japan', 'Retrospective Studies', 'Male', 'Female', 'Aged', 'Middle Aged', 'Adult', 'Cause of Death', 'Young Adult', 'Adolescent', 'Child', 'Aged, 80 and over', 'Child, Preschool', 'Infant', 'Disasters', 'Earthquakes', 'Respiratory Tract Diseases', 'Cardiovascular Diseases', 'Suicide', 'Infant, Newborn', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10999277979135513]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.056885119527578354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11114909499883652]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.01651710458099842]
+Labels: ['Diabetes type 2']
+Scores: [0.01665796898305416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39566532
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Exosomes', 'Humans', 'Respiratory Tract Diseases', 'Animals', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14796721935272217]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.26739731431007385]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39550655
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Particulate Matter', 'Middle Aged', 'Aged', 'Adult', 'Cohort Studies', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Neoplasms', 'Air Pollution', 'Air Pollutants', 'Cardiovascular Diseases', 'Italy', 'Rivers', 'Young Adult', 'Proportional Hazards Models', 'Manufacturing and Industrial Facilities', 'Adolescent', 'Cause of Death', 'Industry', 'Nitrogen Oxides', 'Child, Preschool', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.2759581208229065]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.08481883257627487]
+Labels: ['Diabetes type 2']
+Scores: [0.08847048133611679]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39544058
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Volatile Organic Compounds', 'Air Pollution, Indoor', 'Pulmonary Disease, Chronic Obstructive', 'Respiratory Tract Diseases', 'Asthma', 'Sick Building Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17055945098400116]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.06308763474225998]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39543369
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bipolar Disorder', 'Pulmonary Disease, Chronic Obstructive', 'Asthma', 'Prevalence', 'Female', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Male', 'Pneumonia', 'Odds Ratio', 'Respiration Disorders', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36097267270088196]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.3840197026729584]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.419651597738266]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39537245
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cell Communication', 'Extracellular Vesicles', 'Animals', 'Lung', 'Lung Diseases', 'Signal Transduction', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1281711310148239]
+Labels: ['Diabetes']
+Scores: [0.14386534690856934]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.2020270675420761]
+Labels: ['Cardiovascular diseases']
+Scores: [0.21537233889102936]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.12997223436832428]
+Labels: ['Diabetes type 2']
+Scores: [0.13617172837257385]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39530346
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollution', 'Environmental Exposure', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Environmental Monitoring', 'Air Filters', 'Child', 'Exercise', 'Aged', 'Air Pollutants', 'Masks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3650842010974884]
+Labels: ['Diabetes']
+Scores: [0.07414444535970688]
+Labels: ['Cancer']
+Scores: [0.20613309741020203]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2458016276359558]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2461286336183548]
+Labels: ['Mental Health']
+Scores: [0.08791496604681015]
+Labels: ['Diabetes type 1']
+Scores: [0.08229241520166397]
+Labels: ['Diabetes type 2']
+Scores: [0.0956905335187912]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39521464
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nepal', 'Child', 'Risk Factors', 'Female', 'Research Design', 'Male', 'Longitudinal Studies', 'Adult', 'Adolescent', 'Parents', 'Child, Preschool', 'Air Pollution', 'Respiratory Tract Diseases', 'Cohort Studies', 'Life Style', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01975138857960701]
+Labels: ['Diabetes']
+Scores: [0.0037650263402611017]
+Labels: ['Cancer']
+Scores: [0.014285002835094929]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004379114136099815]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013904999010264874]
+Labels: ['Mental Health']
+Scores: [0.003978613298386335]
+Labels: ['Diabetes type 1']
+Scores: [0.0026259219739586115]
+Labels: ['Diabetes type 2']
+Scores: [0.003280630800873041]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39515807
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'RNA, Untranslated', 'RNA, Long Noncoding', 'Epigenesis, Genetic', 'MicroRNAs', 'Respiratory Tract Diseases', 'RNA, Circular']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7818790674209595]
+Labels: ['Diabetes']
+Scores: [0.21703872084617615]
+Labels: ['Cancer']
+Scores: [0.3963112533092499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5494475960731506]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.21274183690547943]
+Labels: ['Diabetes type 1']
+Scores: [0.2265882045030594]
+Labels: ['Diabetes type 2']
+Scores: [0.23697195947170258]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39513278
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biomarkers', 'Female', 'Air Pollutants', 'Respiratory Tract Diseases', 'Chronic Disease', 'Environmental Exposure', 'Air Pollution', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09452489018440247]
+Labels: ['Diabetes']
+Scores: [0.008209996856749058]
+Labels: ['Cancer']
+Scores: [0.07594689726829529]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7006705403327942]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11098097264766693]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.008020960725843906]
+Labels: ['Diabetes type 2']
+Scores: [0.008212522603571415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39505076
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Particulate Matter', 'Republic of Korea', 'Cardiovascular Diseases', 'Humans', 'Air Pollutants', 'Air Pollution', 'Hospitalization', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.046345315873622894]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.10842370986938477]
+Labels: ['Chronic respiratory disease']
+Scores: [0.061387043446302414]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06450863927602768]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.008364642970263958]
+Labels: ['Diabetes type 2']
+Scores: [0.008482457138597965]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39503908
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Occupational Injuries', "Workers' Compensation", 'Seasons', 'Middle Aged', 'Occupational Diseases', 'Emergency Responders', 'Mental Disorders', 'Firefighters', 'Victoria', 'Musculoskeletal Diseases', 'Wildfires', 'Respiratory Tract Diseases', 'Young Adult', 'Police']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04924698546528816]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.13030186295509338]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.048761166632175446]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39502059
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Sounds', 'Respiratory Tract Diseases', 'Auscultation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10707887262105942]
+Labels: ['Diabetes']
+Scores: [0.0697643905878067]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.2711094617843628]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09414531290531158]
+Labels: ['Mental Health']
+Scores: [0.11705081164836884]
+Labels: ['Diabetes type 1']
+Scores: [0.06389234215021133]
+Labels: ['Diabetes type 2']
+Scores: [0.0672183483839035]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494780
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Antioxidants', 'Diet', 'Hypersensitivity', 'Child, Preschool', 'Inflammation', 'Male', 'Birth Cohort', 'Multimorbidity', 'Adult', 'Maternal Nutritional Physiological Phenomena', 'Infant', 'Respiratory Tract Diseases', 'Asthma', 'Prenatal Exposure Delayed Effects', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.29785940051078796]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.36269038915634155]
+Labels: ['Diabetes type 1']
+Scores: [0.3207320272922516]
+Labels: ['Diabetes type 2']
+Scores: [0.31917840242385864]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494537
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Caregivers', 'Chronic Disease', 'Patient Education as Topic', 'Health Literacy', 'Palliative Care', 'Advance Care Planning', 'Decision Making, Shared', 'Learning', 'Respiratory Tract Diseases', 'Health Knowledge, Attitudes, Practice', 'Adaptation, Psychological', 'Decision Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011447322554886341]
+Labels: ['Diabetes']
+Scores: [0.009858394041657448]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8642604947090149]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04737770929932594]
+Labels: ['Mental Health']
+Scores: [0.03982115164399147]
+Labels: ['Diabetes type 1']
+Scores: [0.007916266098618507]
+Labels: ['Diabetes type 2']
+Scores: [0.009434917941689491]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494092
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Europe', 'Nitrogen Dioxide', 'Ozone', 'Respiratory Tract Diseases', 'World Health Organization']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.045879773795604706]
+Labels: ['Diabetes']
+Scores: [0.00664479099214077]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.00606735423207283]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04892127960920334]
+Labels: ['Mental Health']
+Scores: [0.017228776589035988]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0028437930159270763]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39493756
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Computational Biology', 'User-Computer Interface', 'Databases, Factual', 'Respiratory Tract Diseases', 'Software']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3159429728984833]
+Labels: ['Diabetes']
+Scores: [0.27236834168434143]
+Labels: ['Cancer']
+Scores: [0.29927152395248413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3870410621166229]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3355823755264282]
+Labels: ['Mental Health']
+Scores: [0.3136267364025116]
+Labels: ['Diabetes type 1']
+Scores: [0.25438839197158813]
+Labels: ['Diabetes type 2']
+Scores: [0.2576623260974884]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39489274
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Republic of Korea', 'Humans', 'Female', 'Male', 'Temperature', 'Middle Aged', 'Seasons', 'Aged', 'Cardiovascular Diseases', 'Mortality', 'Adult', 'Child', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Infant', 'Aged, 80 and over', 'Respiratory Tract Diseases', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02324015460908413]
+Labels: ['Diabetes']
+Scores: [0.008380800485610962]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.03956598788499832]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39477760
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Spain', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Adolescent', 'Young Adult', 'Cause of Death', 'Aged, 80 and over', 'Child', 'Child, Preschool', 'Infant', 'Respiratory Tract Diseases', 'Mortality', 'Pandemics', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02856341004371643]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.30146023631095886]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1686495542526245]
+Labels: ['Mental Health']
+Scores: [0.037166669964790344]
+Labels: ['Diabetes type 1']
+Scores: [0.0026032335590571165]
+Labels: ['Diabetes type 2']
+Scores: [0.002627165522426367]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39472952
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'South Africa', 'Quality of Life', 'Child, Preschool', 'Infant', 'Male', 'Female', 'Delphi Technique', 'Surveys and Questionnaires', 'Respiratory Tract Diseases', 'Infant, Newborn', 'Psychometrics', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.17897018790245056]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5057843327522278]
+Labels: ['Cardiovascular diseases']
+Scores: [0.24281884729862213]
+Labels: ['Mental Health']
+Scores: [0.1847797930240631]
+Labels: ['Diabetes type 1']
+Scores: [0.1128222718834877]
+Labels: ['Diabetes type 2']
+Scores: [0.12649275362491608]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39468133
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'South Africa', 'Female', 'Male', 'Eggs', 'Gastrointestinal Diseases', 'Infant Nutritional Physiological Phenomena', 'Respiratory Tract Diseases', 'Incidence', 'Morbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33892959356307983]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.35077789425849915]
+Labels: ['Cardiovascular diseases']
+Scores: [0.34228289127349854]
+Labels: ['Mental Health']
+Scores: [0.31473687291145325]
+Labels: ['Diabetes type 1']
+Scores: [0.2999613285064697]
+Labels: ['Diabetes type 2']
+Scores: [0.29879477620124817]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39466470
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bone Morphogenetic Protein 2', 'Signal Transduction', 'Animals', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Hypertension, Pulmonary']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7859668731689453]
+Labels: ['Diabetes']
+Scores: [0.7956688404083252]
+Labels: ['Cancer']
+Scores: [0.8011929392814636]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8117964863777161]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7927723526954651]
+Labels: ['Mental Health']
+Scores: [0.7746619582176208]
+Labels: ['Diabetes type 1']
+Scores: [0.7953925132751465]
+Labels: ['Diabetes type 2']
+Scores: [0.7957966327667236]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39465586
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Comorbidity', 'Patient Readmission', 'Length of Stay', 'Middle Aged', 'Retrospective Studies', 'Heart Failure', 'Prospective Studies', 'Hypertension', 'Myocardial Ischemia', 'Pulmonary Heart Disease', 'Aged, 80 and over', 'Prevalence', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10150983929634094]
+Labels: ['Diabetes']
+Scores: [0.03604913130402565]
+Labels: ['Cancer']
+Scores: [0.11944980174303055]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5008385181427002]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1458304524421692]
+Labels: ['Mental Health']
+Scores: [0.042351774871349335]
+Labels: ['Diabetes type 1']
+Scores: [0.02111809328198433]
+Labels: ['Diabetes type 2']
+Scores: [0.02708819881081581]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39462582
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Ozone', 'Japan', 'Particulate Matter', 'Humans', 'Air Pollutants', 'Cities', 'Aged', 'Female', 'Mortality', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'Air Pollution', 'Hot Temperature', 'Temperature', 'Respiratory Tract Diseases', 'Environmental Exposure', 'Young Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.00336012477055192]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462039
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Gastrointestinal Microbiome', 'Genome-Wide Association Study', 'Lung', 'Respiratory Tract Diseases', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.41511061787605286]
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.4354480504989624]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39457304
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'Dust', 'Adult', 'Male', 'Occupational Exposure', 'Ethiopia', 'Female', 'Paper', 'Middle Aged', 'Cough', 'Prevalence', 'Young Adult', 'Respiratory Tract Diseases', 'Respiratory Sounds', 'Surveys and Questionnaires', 'Occupational Diseases', 'Industry', 'Dyspnea', 'Air Pollutants, Occupational']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39453518
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'Aged', 'Female', 'Male', 'Cross-Over Studies', 'Altitude', 'Air Pollutants', 'Respiratory Tract Diseases', 'China', 'Extreme Weather', 'Aged, 80 and over', 'Middle Aged', 'Cities', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444957
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Adolescent', 'Adult', 'Child', 'Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33400171995162964]
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Middle Aged', 'Heating', 'Prospective Studies', 'Female', 'Male', 'Respiratory Tract Diseases', 'Proportional Hazards Models', 'China', 'Smoking', 'Risk Factors', 'Adult', 'Air Pollution, Indoor']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39443904
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Netherlands', 'Female', 'Male', 'Adult', 'Middle Aged', 'Smoke', 'Wood', 'Air Pollutants', 'Environmental Exposure', 'Aged', 'Particulate Matter', 'Respiratory Tract Diseases', 'Glucose']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39439241
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Switzerland', 'Humans', 'History, 20th Century', 'History, 21st Century', 'History, 17th Century', 'History, 16th Century', 'Respiratory Tract Diseases', 'Male', 'Female', 'History, 18th Century', 'History, 19th Century', 'Adult', 'Middle Aged', 'Respiration Disorders', 'Aged', 'Child', 'Adolescent', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436432
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Prospective Studies', 'Child', 'Respiratory Tract Diseases', 'Male', 'Female', 'Air Pollutants', 'Particulate Matter', 'Air Pollution', 'Child Health', 'Environmental Exposure', 'Air Pollution, Indoor', 'Adolescent', 'Environmental Monitoring']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39435892
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'United Kingdom', 'Particulate Matter', 'Male', 'Female', 'Middle Aged', 'Aged', 'Proportional Hazards Models', 'Environmental Exposure', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Mortality', 'Time Factors', 'Air Pollution', 'Air Pollutants', 'Adult', 'Cohort Studies', 'Machine Learning', 'Respiratory Tract Diseases', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39434079
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Air Pollution', 'Respiratory Tract Diseases', 'Risk Assessment', 'Air Pollutants', 'Reproducibility of Results']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06140352040529251]
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424664
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollution', 'Particulate Matter', 'Air Pollutants', 'Meteorological Concepts', 'Respiratory Tract Diseases', 'Iran', 'Sulfur Dioxide', 'Nitrogen Dioxide', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424373
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Surveys and Questionnaires', 'Child', 'Quality Improvement', 'Documentation', 'Preoperative Care', 'Pediatrics', 'Respiration Disorders', 'Respiratory Tract Diseases', 'Preoperative Period']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39423508
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Phthalic Acids', 'Male', 'Female', 'Child', 'China', 'Cardiovascular Diseases', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Anthropometry', 'Dust', 'Schools', 'Endocrine Disruptors', 'Risk Assessment', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.6182663440704346]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421822
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ambulances', 'China', 'Middle Aged', 'Cardiovascular Diseases', 'Temperature', 'Aged', 'Adult', 'Emergency Medical Services', 'Respiratory Tract Diseases', 'Seasons']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39419650
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Omalizumab', 'Anti-Inflammatory Agents, Non-Steroidal', 'Antibodies, Anti-Idiotypic', 'Asthma, Aspirin-Induced', 'Anti-Allergic Agents', 'Drug Hypersensitivity', 'Respiratory Tract Diseases', 'Animals']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.11778425425291061]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39419227
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Microbiota', 'Air Microbiology', 'Middle Aged', 'Cross-Sectional Studies', 'China', 'Prevalence', 'Adult', 'Female', 'Aged', 'Air Pollution, Indoor', 'Respiratory Tract Diseases', 'Male', 'Plants', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.4156271517276764]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39410863
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Africa', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Infections', 'Respiratory Tract Diseases', 'Female', 'Risk Factors', 'Family Characteristics', 'Child', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.048400405794382095]
+Labels: ['Diabetes']
+Scores: [0.011655253358185291]
+Labels: ['Cancer']
+Scores: [0.0348309762775898]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3396112620830536]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08271042257547379]
+Labels: ['Mental Health']
+Scores: [0.034901294857263565]
+Labels: ['Diabetes type 1']
+Scores: [0.01162529457360506]
+Labels: ['Diabetes type 2']
+Scores: [0.011412432417273521]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39408565
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'TRPV Cation Channels', 'Receptors, Adrenergic, beta-2', 'Animals', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9092325568199158]
+Labels: ['Diabetes']
+Scores: [0.9227702021598816]
+Labels: ['Cancer']
+Scores: [0.9228659272193909]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9275978207588196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.924473226070404]
+Labels: ['Mental Health']
+Scores: [0.9195315837860107]
+Labels: ['Diabetes type 1']
+Scores: [0.9249815344810486]
+Labels: ['Diabetes type 2']
+Scores: [0.9269631505012512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39406209
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Northern Territory', 'Animals', 'Smoke', 'Turtles', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20847487449645996]
+Labels: ['Diabetes']
+Scores: [0.13390202820301056]
+Labels: ['Cancer']
+Scores: [0.17834676802158356]
+Labels: ['Chronic respiratory disease']
+Scores: [0.32943063974380493]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17732790112495422]
+Labels: ['Mental Health']
+Scores: [0.10893454402685165]
+Labels: ['Diabetes type 1']
+Scores: [0.09234973788261414]
+Labels: ['Diabetes type 2']
+Scores: [0.0995720624923706]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39395132
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Sarcopenia', 'Genome-Wide Association Study', 'Body Mass Index', 'Respiratory Tract Diseases', 'Male', 'Pulmonary Disease, Chronic Obstructive', 'Female', 'Smoking', 'Pneumoconiosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10156223177909851]
+Labels: ['Diabetes']
+Scores: [0.02257932350039482]
+Labels: ['Cancer']
+Scores: [0.06018543615937233]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09760396182537079]
+Labels: ['Cardiovascular diseases']
+Scores: [0.055360909551382065]
+Labels: ['Mental Health']
+Scores: [0.04126108065247536]
+Labels: ['Diabetes type 1']
+Scores: [0.030345700681209564]
+Labels: ['Diabetes type 2']
+Scores: [0.022092660889029503]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39394579
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Japan', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Tobacco Products', 'Surveys and Questionnaires', 'Internet', 'Smoking', 'Hot Temperature', 'Aged', 'Young Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1264915019273758]
+Labels: ['Diabetes']
+Scores: [0.04461431875824928]
+Labels: ['Cancer']
+Scores: [0.08531724661588669]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12207276374101639]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06891120970249176]
+Labels: ['Mental Health']
+Scores: [0.038923121988773346]
+Labels: ['Diabetes type 1']
+Scores: [0.03776058182120323]
+Labels: ['Diabetes type 2']
+Scores: [0.04170846939086914]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39391315
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Liquid-Liquid Extraction', 'Signal Transduction', 'Phase Separation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05163636431097984]
+Labels: ['Diabetes']
+Scores: [0.011903920210897923]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.05600867047905922]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04261957108974457]
+Labels: ['Mental Health']
+Scores: [0.02571156434714794]
+Labels: ['Diabetes type 1']
+Scores: [0.01227876078337431]
+Labels: ['Diabetes type 2']
+Scores: [0.013063478283584118]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39389134
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Particulate Matter', 'Aged', 'Humans', 'Air Pollutants', 'Risk Assessment', 'China', 'Air Pollution', 'Environmental Exposure', 'Fossil Fuels', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04141398146748543]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.34550318121910095]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.008563864044845104]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39384295
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Rain', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Global Health', 'Cause of Death', 'Mortality', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017438851296901703]
+Labels: ['Diabetes']
+Scores: [0.007613581605255604]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0749005675315857]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17055770754814148]
+Labels: ['Mental Health']
+Scores: [0.05980834737420082]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004852429032325745]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39384238
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Observational Studies as Topic', 'Respiratory Tract Diseases', 'Systematic Reviews as Topic', 'Walking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017608623951673508]
+Labels: ['Diabetes']
+Scores: [0.004149193409830332]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.008093585260212421]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0182166900485754]
+Labels: ['Mental Health']
+Scores: [0.03253490850329399]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.007093309424817562]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39374569
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Saliva', 'Breath Tests', 'Respiratory Tract Diseases', 'Exhalation', 'Electrochemical Techniques', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8778887391090393]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8934356570243835]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8826305866241455]
+Labels: ['Mental Health']
+Scores: [0.8661604523658752]
+Labels: ['Diabetes type 1']
+Scores: [0.8804688453674316]
+Labels: ['Diabetes type 2']
+Scores: [0.8799740672111511]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39370174
+Predictions: ['Chronic respiratory disease', 'Mental Health']
+MeshTerm: ['Humans', 'Comorbidity', 'Mental Disorders', 'Respiratory Tract Diseases', 'Quality of Life', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09900068491697311]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.11394282430410385]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.03690062463283539]
+Labels: ['Diabetes type 2']
+Scores: [0.03787228837609291]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39370173
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mental Disorders', 'Tuberculosis, Pulmonary', 'Tuberculosis', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010611412115395069]
+Labels: ['Diabetes']
+Scores: [0.009720236994326115]
+Labels: ['Cancer']
+Scores: [0.0455201156437397]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.027364447712898254]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.007604856044054031]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39366894
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Prenatal Exposure Delayed Effects', 'Smoking', 'Child', 'Infant, Newborn', 'Respiratory Tract Diseases', 'Adolescent', 'Maternal Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13724437355995178]
+Labels: ['Diabetes']
+Scores: [0.10666391253471375]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39364938
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'United Kingdom', 'Veterinary Medicine', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06768035888671875]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.1965019553899765]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.005140678025782108]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39362458
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Residence Characteristics', 'Aged', 'Mortality', 'Cities', 'Middle Aged', 'Aging', 'Cardiovascular Diseases', 'Male', 'Female', 'Neoplasms', 'Respiratory Tract Diseases', 'Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.288638710975647]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.31419631838798523]
+Labels: ['Mental Health']
+Scores: [0.2644215226173401]
+Labels: ['Diabetes type 1']
+Scores: [0.2577715516090393]
+Labels: ['Diabetes type 2']
+Scores: [0.257305771112442]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39362179
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Pilot Projects', 'Aged', 'Male', 'Chronic Disease', 'Female', 'Exercise Therapy', 'Prospective Studies', 'Problem Solving', 'Physical Functional Performance', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.037915509194135666]
+Labels: ['Diabetes']
+Scores: [0.00572959752753377]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.002589878626167774]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39353528
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Taiwan', 'Humans', 'Cardiovascular Diseases', 'Climate Change', 'Temperature', 'Middle Aged', 'Aged', 'Adult', 'Respiratory Tract Diseases', 'Male', 'Female', 'Seasons', 'Vulnerable Populations', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5367780327796936]
+Labels: ['Diabetes']
+Scores: [0.5083380937576294]
+Labels: ['Cancer']
+Scores: [0.5251903533935547]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5696654915809631]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5562276840209961]
+Labels: ['Mental Health']
+Scores: [0.5202502012252808]
+Labels: ['Diabetes type 1']
+Scores: [0.5110292434692383]
+Labels: ['Diabetes type 2']
+Scores: [0.5091495513916016]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39354585
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Chemoradiotherapy', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.32736220955848694]
+Labels: ['Diabetes']
+Scores: [0.1468270719051361]
+Labels: ['Cancer']
+Scores: [0.29897135496139526]
+Labels: ['Chronic respiratory disease']
+Scores: [0.47356361150741577]
+Labels: ['Cardiovascular diseases']
+Scores: [0.34978097677230835]
+Labels: ['Mental Health']
+Scores: [0.14169450104236603]
+Labels: ['Diabetes type 1']
+Scores: [0.15730594098567963]
+Labels: ['Diabetes type 2']
+Scores: [0.16126233339309692]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39352090
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Slovakia', 'Occupational Diseases', 'Adult', 'Male', 'Female', 'Prevalence', 'Middle Aged', 'Agriculture', 'Occupational Exposure', 'Manufacturing Industry', 'Asthma, Occupational', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08134344220161438]
+Labels: ['Diabetes']
+Scores: [0.004214056301862001]
+Labels: ['Cancer']
+Scores: [0.017920203506946564]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7231351137161255]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04122219607234001]
+Labels: ['Mental Health']
+Scores: [0.013422133401036263]
+Labels: ['Diabetes type 1']
+Scores: [0.0025122470688074827]
+Labels: ['Diabetes type 2']
+Scores: [0.0027836430817842484]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39348213
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['China', 'Air Pollutants', 'Humans', 'Bayes Theorem', 'Particulate Matter', 'Air Pollution', 'Respiratory Tract Diseases', 'Sulfur Dioxide', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06703449785709381]
+Labels: ['Diabetes']
+Scores: [0.03419254347681999]
+Labels: ['Cancer']
+Scores: [0.05520050227642059]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08289042860269547]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05570298433303833]
+Labels: ['Mental Health']
+Scores: [0.03503691032528877]
+Labels: ['Diabetes type 1']
+Scores: [0.024429768323898315]
+Labels: ['Diabetes type 2']
+Scores: [0.02534806914627552]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338131
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Brazil', 'Humans', 'Male', 'Female', 'Mortality', 'Middle Aged', 'Adult', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Cardiovascular Diseases', 'Temperature', 'Hot Temperature', 'Aged, 80 and over', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7328579425811768]
+Labels: ['Diabetes']
+Scores: [0.7340951561927795]
+Labels: ['Cancer']
+Scores: [0.7597180604934692]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8063467741012573]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7431966662406921]
+Labels: ['Mental Health']
+Scores: [0.7316043972969055]
+Labels: ['Diabetes type 1']
+Scores: [0.7353839874267578]
+Labels: ['Diabetes type 2']
+Scores: [0.7338008284568787]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39334540
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Italy', 'Child', 'Pesticides', 'Female', 'Male', 'Adolescent', 'Environmental Exposure', 'Surveys and Questionnaires', 'Risk Factors', 'Health Status', 'Logistic Models', 'Agriculture', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3421775698661804]
+Labels: ['Diabetes']
+Scores: [0.3876361548900604]
+Labels: ['Cancer']
+Scores: [0.393250048160553]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4376833140850067]
+Labels: ['Cardiovascular diseases']
+Scores: [0.39990726113319397]
+Labels: ['Mental Health']
+Scores: [0.3795429468154907]
+Labels: ['Diabetes type 1']
+Scores: [0.388925164937973]
+Labels: ['Diabetes type 2']
+Scores: [0.3921019434928894]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39332351
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Wildfires', 'Smoke', 'Occupational Exposure', 'Firefighters', 'Respiratory Tract Diseases', 'Respiratory Function Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042258672416210175]
+Labels: ['Diabetes']
+Scores: [0.016731251031160355]
+Labels: ['Cancer']
+Scores: [0.11783386766910553]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2266337275505066]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15402740240097046]
+Labels: ['Mental Health']
+Scores: [0.07004769891500473]
+Labels: ['Diabetes type 1']
+Scores: [0.01863095350563526]
+Labels: ['Diabetes type 2']
+Scores: [0.021665748208761215]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39331188
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'COVID-19', 'Glioma', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Adult', 'Aged', 'Brain Neoplasms', 'SEER Program', 'Young Adult', 'Pandemics', 'Respiratory Tract Diseases', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09434247016906738]
+Labels: ['Diabetes']
+Scores: [0.03500745818018913]
+Labels: ['Cancer']
+Scores: [0.0611872598528862]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1156548485159874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06394419819116592]
+Labels: ['Mental Health']
+Scores: [0.0705767273902893]
+Labels: ['Diabetes type 1']
+Scores: [0.0337652750313282]
+Labels: ['Diabetes type 2']
+Scores: [0.03398609533905983]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39323116
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Vietnam', 'Male', 'Female', 'Prospective Studies', 'Infant', 'Infant, Newborn', 'Intensive Care Units, Pediatric', 'Infant, Premature', 'Critical Illness', 'Respiration, Artificial', 'Length of Stay', 'Child, Preschool', 'Respiratory Tract Diseases', 'Infant, Premature, Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03426031395792961]
+Labels: ['Diabetes']
+Scores: [0.009137382730841637]
+Labels: ['Cancer']
+Scores: [0.03378153219819069]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17659810185432434]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09569226205348969]
+Labels: ['Mental Health']
+Scores: [0.047529902309179306]
+Labels: ['Diabetes type 1']
+Scores: [0.005368365440517664]
+Labels: ['Diabetes type 2']
+Scores: [0.005547492299228907]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316790
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'China', 'Male', 'Female', 'Middle Aged', 'Cohort Studies', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases', 'Aged', 'Air Pollutants', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0503021739423275]
+Labels: ['Diabetes']
+Scores: [0.012913805432617664]
+Labels: ['Cancer']
+Scores: [0.04784892499446869]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09820651262998581]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14922447502613068]
+Labels: ['Mental Health']
+Scores: [0.03216094151139259]
+Labels: ['Diabetes type 1']
+Scores: [0.00881263893097639]
+Labels: ['Diabetes type 2']
+Scores: [0.009477756917476654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316681
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Mechanotransduction, Cellular', 'Stress, Mechanical', 'Extracellular Matrix', 'Respiratory Mechanics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040689870715141296]
+Labels: ['Diabetes']
+Scores: [0.3218512535095215]
+Labels: ['Cancer']
+Scores: [0.8353025913238525]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6595488786697388]
+Labels: ['Cardiovascular diseases']
+Scores: [0.480341374874115]
+Labels: ['Mental Health']
+Scores: [0.24367043375968933]
+Labels: ['Diabetes type 1']
+Scores: [0.21620772778987885]
+Labels: ['Diabetes type 2']
+Scores: [0.22544331848621368]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39314792
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Air Pollutants', 'Particulate Matter', 'Respiratory Function Tests', 'Air Pollution', 'Nitrogen Dioxide', 'Environmental Exposure', 'Chronic Disease', 'Male', 'Forced Expiratory Volume', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03471900522708893]
+Labels: ['Diabetes']
+Scores: [0.006372446194291115]
+Labels: ['Cancer']
+Scores: [0.014003006741404533]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12310044467449188]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0524895042181015]
+Labels: ['Mental Health']
+Scores: [0.35273319482803345]
+Labels: ['Diabetes type 1']
+Scores: [0.008662794716656208]
+Labels: ['Diabetes type 2']
+Scores: [0.007628070190548897]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39304964
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bronchoscopy', 'Infant, Newborn', 'Retrospective Studies', 'Male', 'Female', 'Fiber Optic Technology', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0270368829369545]
+Labels: ['Diabetes']
+Scores: [0.004929276183247566]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.04452326521277428]
+Labels: ['Cardiovascular diseases']
+Scores: [0.027914125472307205]
+Labels: ['Mental Health']
+Scores: [0.024448411539196968]
+Labels: ['Diabetes type 1']
+Scores: [0.002197897294536233]
+Labels: ['Diabetes type 2']
+Scores: [0.002096876036375761]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39293035
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Tract Diseases', 'Pediatrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04720166698098183]
+Labels: ['Diabetes']
+Scores: [0.017958810552954674]
+Labels: ['Cancer']
+Scores: [0.1771927922964096]
+Labels: ['Chronic respiratory disease']
+Scores: [0.051173534244298935]
+Labels: ['Cardiovascular diseases']
+Scores: [0.047813206911087036]
+Labels: ['Mental Health']
+Scores: [0.051829636096954346]
+Labels: ['Diabetes type 1']
+Scores: [0.006833147723227739]
+Labels: ['Diabetes type 2']
+Scores: [0.005747509654611349]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5139687061309814]
+Labels: ['Diabetes']
+Scores: [0.377000629901886]
+Labels: ['Cancer']
+Scores: [0.4855818748474121]
+Labels: ['Chronic respiratory disease']
+Scores: [0.56978839635849]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7002683281898499]
+Labels: ['Mental Health']
+Scores: [0.44278085231781006]
+Labels: ['Diabetes type 1']
+Scores: [0.38657763600349426]
+Labels: ['Diabetes type 2']
+Scores: [0.39425820112228394]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11451499164104462]
+Labels: ['Diabetes']
+Scores: [0.17952141165733337]
+Labels: ['Cancer']
+Scores: [0.22923563420772552]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4671417772769928]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3909369707107544]
+Labels: ['Mental Health']
+Scores: [0.23444056510925293]
+Labels: ['Diabetes type 1']
+Scores: [0.22889655828475952]
+Labels: ['Diabetes type 2']
+Scores: [0.24831317365169525]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4518377482891083]
+Labels: ['Diabetes']
+Scores: [0.482401967048645]
+Labels: ['Cancer']
+Scores: [0.5065174102783203]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5154049396514893]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5201563835144043]
+Labels: ['Mental Health']
+Scores: [0.5077729821205139]
+Labels: ['Diabetes type 1']
+Scores: [0.49819427728652954]
+Labels: ['Diabetes type 2']
+Scores: [0.49386104941368103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18148693442344666]
+Labels: ['Diabetes']
+Scores: [0.549096405506134]
+Labels: ['Cancer']
+Scores: [0.20125681161880493]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18045936524868011]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23209163546562195]
+Labels: ['Mental Health']
+Scores: [0.0595361664891243]
+Labels: ['Diabetes type 1']
+Scores: [0.5184134244918823]
+Labels: ['Diabetes type 2']
+Scores: [0.6883289217948914]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014361819252371788]
+Labels: ['Diabetes']
+Scores: [0.007395607419312]
+Labels: ['Cancer']
+Scores: [0.03222954645752907]
+Labels: ['Chronic respiratory disease']
+Scores: [0.030963361263275146]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16952022910118103]
+Labels: ['Mental Health']
+Scores: [0.026381753385066986]
+Labels: ['Diabetes type 1']
+Scores: [0.004623170010745525]
+Labels: ['Diabetes type 2']
+Scores: [0.004691137466579676]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03096732310950756]
+Labels: ['Diabetes']
+Scores: [0.005388098768889904]
+Labels: ['Cancer']
+Scores: [0.7778456211090088]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011588023975491524]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7535925507545471]
+Labels: ['Mental Health']
+Scores: [0.0294730756431818]
+Labels: ['Diabetes type 1']
+Scores: [0.00676407665014267]
+Labels: ['Diabetes type 2']
+Scores: [0.006259901449084282]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012288144789636135]
+Labels: ['Diabetes']
+Scores: [0.004567157477140427]
+Labels: ['Cancer']
+Scores: [0.013214174658060074]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00495418906211853]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1623779684305191]
+Labels: ['Mental Health']
+Scores: [0.015111355111002922]
+Labels: ['Diabetes type 1']
+Scores: [0.003625954035669565]
+Labels: ['Diabetes type 2']
+Scores: [0.003766819601878524]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Aged', 'Depression', 'Longitudinal Studies', 'Social Support', 'Cognition', 'Risk Factors', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05387565493583679]
+Labels: ['Diabetes']
+Scores: [0.04737812280654907]
+Labels: ['Cancer']
+Scores: [0.1115107387304306]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11927478760480881]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17538540065288544]
+Labels: ['Mental Health']
+Scores: [0.21190062165260315]
+Labels: ['Diabetes type 1']
+Scores: [0.06408190727233887]
+Labels: ['Diabetes type 2']
+Scores: [0.0789153203368187]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8803273439407349]
+Labels: ['Diabetes']
+Scores: [0.9051916599273682]
+Labels: ['Cancer']
+Scores: [0.9049890041351318]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9035400748252869]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9030325412750244]
+Labels: ['Mental Health']
+Scores: [0.8907622694969177]
+Labels: ['Diabetes type 1']
+Scores: [0.9088396430015564]
+Labels: ['Diabetes type 2']
+Scores: [0.9103041291236877]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6733684539794922]
+Labels: ['Diabetes']
+Scores: [0.7205024361610413]
+Labels: ['Cancer']
+Scores: [0.7034142017364502]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7164350152015686]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7866348028182983]
+Labels: ['Mental Health']
+Scores: [0.6753373742103577]
+Labels: ['Diabetes type 1']
+Scores: [0.7185599207878113]
+Labels: ['Diabetes type 2']
+Scores: [0.725257396697998]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.45719248056411743]
+Labels: ['Diabetes']
+Scores: [0.3305932581424713]
+Labels: ['Cancer']
+Scores: [0.8459457755088806]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5501146912574768]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6664165258407593]
+Labels: ['Mental Health']
+Scores: [0.23047000169754028]
+Labels: ['Diabetes type 1']
+Scores: [0.32070276141166687]
+Labels: ['Diabetes type 2']
+Scores: [0.3174014091491699]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7155690789222717]
+Labels: ['Diabetes']
+Scores: [0.6928999423980713]
+Labels: ['Cancer']
+Scores: [0.7609937191009521]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7383999228477478]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9228003025054932]
+Labels: ['Mental Health']
+Scores: [0.6490886807441711]
+Labels: ['Diabetes type 1']
+Scores: [0.65690678358078]
+Labels: ['Diabetes type 2']
+Scores: [0.6508893966674805]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.563286304473877]
+Labels: ['Diabetes']
+Scores: [0.5601531267166138]
+Labels: ['Cancer']
+Scores: [0.5737565755844116]
+Labels: ['Chronic respiratory disease']
+Scores: [0.579308271408081]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6011386513710022]
+Labels: ['Mental Health']
+Scores: [0.5703608393669128]
+Labels: ['Diabetes type 1']
+Scores: [0.5507827997207642]
+Labels: ['Diabetes type 2']
+Scores: [0.5536171793937683]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8140696883201599]
+Labels: ['Diabetes']
+Scores: [0.9099209904670715]
+Labels: ['Cancer']
+Scores: [0.9129186272621155]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9107763767242432]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9278480410575867]
+Labels: ['Mental Health']
+Scores: [0.8863807916641235]
+Labels: ['Diabetes type 1']
+Scores: [0.9023129343986511]
+Labels: ['Diabetes type 2']
+Scores: [0.9044578075408936]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39733208
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Female', 'Male', 'Cross-Sectional Studies', 'Apolipoproteins B', 'Cholesterol', 'Brazil', 'Genetic Predisposition to Disease', 'Risk Factors', 'Cardiovascular Diseases', 'Dyslipidemias', 'Apolipoprotein B-100', 'Polymorphism, Genetic', 'Alleles', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8126806616783142]
+Labels: ['Diabetes']
+Scores: [0.8261387348175049]
+Labels: ['Cancer']
+Scores: [0.8483366966247559]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8193201422691345]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8601365685462952]
+Labels: ['Mental Health']
+Scores: [0.8123920559883118]
+Labels: ['Diabetes type 1']
+Scores: [0.8375155925750732]
+Labels: ['Diabetes type 2']
+Scores: [0.834816575050354]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39733181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Air Pollution', 'Air Pollutants', 'Iran', 'Meteorological Concepts', 'Particulate Matter', 'Seasons', 'Sulfur Dioxide', 'Climate Change', 'Weather', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.036439016461372375]
+Labels: ['Diabetes']
+Scores: [0.020773619413375854]
+Labels: ['Cancer']
+Scores: [0.031802430748939514]
+Labels: ['Chronic respiratory disease']
+Scores: [0.035591527819633484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12718582153320312]
+Labels: ['Mental Health']
+Scores: [0.15027166903018951]
+Labels: ['Diabetes type 1']
+Scores: [0.013550767675042152]
+Labels: ['Diabetes type 2']
+Scores: [0.014310358092188835]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6996974945068359]
+Labels: ['Diabetes']
+Scores: [0.6362835168838501]
+Labels: ['Cancer']
+Scores: [0.6765378713607788]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6499616503715515]
+Labels: ['Cardiovascular diseases']
+Scores: [0.726151704788208]
+Labels: ['Mental Health']
+Scores: [0.6600088477134705]
+Labels: ['Diabetes type 1']
+Scores: [0.6257155537605286]
+Labels: ['Diabetes type 2']
+Scores: [0.6216577887535095]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733154
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Triglycerides', 'Arthritis', 'Blood Glucose', 'Nutrition Surveys', 'Risk Factors', 'Adult', 'Aged', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7534305453300476]
+Labels: ['Diabetes']
+Scores: [0.7666208744049072]
+Labels: ['Cancer']
+Scores: [0.7764924764633179]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7903400659561157]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8042058944702148]
+Labels: ['Mental Health']
+Scores: [0.7190498113632202]
+Labels: ['Diabetes type 1']
+Scores: [0.7719307541847229]
+Labels: ['Diabetes type 2']
+Scores: [0.7716937065124512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39733150
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Ethiopia', 'Humans', 'Cardiovascular Diseases', 'Drugs, Essential', 'Cross-Sectional Studies', 'Health Services Accessibility', 'Drugs, Generic', 'Drug Costs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6483593583106995]
+Labels: ['Diabetes']
+Scores: [0.6235228180885315]
+Labels: ['Cancer']
+Scores: [0.6672775745391846]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6674278378486633]
+Labels: ['Cardiovascular diseases']
+Scores: [0.706632673740387]
+Labels: ['Mental Health']
+Scores: [0.6351500749588013]
+Labels: ['Diabetes type 1']
+Scores: [0.6346849203109741]
+Labels: ['Diabetes type 2']
+Scores: [0.6394152641296387]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733137
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Manganese', 'Cardiovascular Diseases', 'Adult', 'Male', 'Female', 'Middle Aged', 'United States', 'Cross-Sectional Studies', 'Nutrition Surveys', 'Aged', 'Young Adult', 'Risk Factors', 'Bayes Theorem']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18954811990261078]
+Labels: ['Diabetes']
+Scores: [0.22207918763160706]
+Labels: ['Cancer']
+Scores: [0.22841130197048187]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22768549621105194]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23198620975017548]
+Labels: ['Mental Health']
+Scores: [0.22190828621387482]
+Labels: ['Diabetes type 1']
+Scores: [0.2293684482574463]
+Labels: ['Diabetes type 2']
+Scores: [0.23072195053100586]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732966
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Dyslipidemias', 'Humans', 'Turkey', 'Delphi Technique', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cholesterol, LDL', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'PCSK9 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1961880326271057]
+Labels: ['Diabetes']
+Scores: [0.20949043333530426]
+Labels: ['Cancer']
+Scores: [0.38766947388648987]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3463010787963867]
+Labels: ['Cardiovascular diseases']
+Scores: [0.632590115070343]
+Labels: ['Mental Health']
+Scores: [0.23341354727745056]
+Labels: ['Diabetes type 1']
+Scores: [0.1959918886423111]
+Labels: ['Diabetes type 2']
+Scores: [0.20573590695858002]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8437671661376953]
+Labels: ['Diabetes']
+Scores: [0.9047296047210693]
+Labels: ['Cancer']
+Scores: [0.8889345526695251]
+Labels: ['Chronic respiratory disease']
+Scores: [0.886446475982666]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9054835438728333]
+Labels: ['Mental Health']
+Scores: [0.861984372138977]
+Labels: ['Diabetes type 1']
+Scores: [0.9032442569732666]
+Labels: ['Diabetes type 2']
+Scores: [0.9029209613800049]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39732498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Young Adult', 'Longitudinal Studies', 'Male', 'Adolescent', 'Female', 'Cardiovascular Diseases', 'Universities', 'Cardiometabolic Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11404547840356827]
+Labels: ['Diabetes']
+Scores: [0.03850143402814865]
+Labels: ['Cancer']
+Scores: [0.0679808259010315]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08659164607524872]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49461737275123596]
+Labels: ['Mental Health']
+Scores: [0.06583164632320404]
+Labels: ['Diabetes type 1']
+Scores: [0.03890044987201691]
+Labels: ['Diabetes type 2']
+Scores: [0.04165540263056755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732415
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Troponin T', 'Aged', 'Male', 'Female', 'Follow-Up Studies', 'Natriuretic Peptide, Brain', 'Cardiovascular Diseases', 'Aged, 80 and over', 'Biomarkers', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2572970986366272]
+Labels: ['Diabetes']
+Scores: [0.2675894796848297]
+Labels: ['Cancer']
+Scores: [0.39529889822006226]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4055698812007904]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6735821962356567]
+Labels: ['Mental Health']
+Scores: [0.14392301440238953]
+Labels: ['Diabetes type 1']
+Scores: [0.26935872435569763]
+Labels: ['Diabetes type 2']
+Scores: [0.27235111594200134]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6188867688179016]
+Labels: ['Diabetes']
+Scores: [0.5534266829490662]
+Labels: ['Cancer']
+Scores: [0.8930761814117432]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5799451470375061]
+Labels: ['Cardiovascular diseases']
+Scores: [0.798305332660675]
+Labels: ['Mental Health']
+Scores: [0.46111947298049927]
+Labels: ['Diabetes type 1']
+Scores: [0.442403107881546]
+Labels: ['Diabetes type 2']
+Scores: [0.4425255060195923]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731858
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Myocardial Ischemia', 'Wearable Electronic Devices', 'Randomized Controlled Trials as Topic', 'Myocardial Infarction', 'Hospitalization', 'Cardiovascular Diseases', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030183786526322365]
+Labels: ['Diabetes']
+Scores: [0.022415325045585632]
+Labels: ['Cancer']
+Scores: [0.06752181053161621]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01549984235316515]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5116912126541138]
+Labels: ['Mental Health']
+Scores: [0.055578943341970444]
+Labels: ['Diabetes type 1']
+Scores: [0.02799060381948948]
+Labels: ['Diabetes type 2']
+Scores: [0.02707880176603794]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731821
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Cardiovascular Diseases', 'Saliva', 'Lab-On-A-Chip Devices', 'Immunoassay', 'Interleukin-6', 'C-Reactive Protein', 'Equipment Design', 'Procalcitonin', 'Limit of Detection']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06560217589139938]
+Labels: ['Diabetes']
+Scores: [0.06105528771877289]
+Labels: ['Cancer']
+Scores: [0.06428854912519455]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06521809846162796]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06729377806186676]
+Labels: ['Mental Health']
+Scores: [0.06471376866102219]
+Labels: ['Diabetes type 1']
+Scores: [0.06656079739332199]
+Labels: ['Diabetes type 2']
+Scores: [0.06693851202726364]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bacteria', 'Biomarkers', 'Blood Glucose', 'Cardiometabolic Risk Factors', 'Cardiovascular Diseases', 'China', 'Cholesterol, HDL', 'Cholesterol, LDL', 'Cohort Studies', 'East Asian People', 'Feces', 'Gastrointestinal Microbiome', 'Indoleacetic Acids', 'Indoles', 'Propionates', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.037217769771814346]
+Labels: ['Diabetes']
+Scores: [0.01829858310520649]
+Labels: ['Cancer']
+Scores: [0.03808658942580223]
+Labels: ['Chronic respiratory disease']
+Scores: [0.044527407735586166]
+Labels: ['Cardiovascular diseases']
+Scores: [0.25919538736343384]
+Labels: ['Mental Health']
+Scores: [0.024952152743935585]
+Labels: ['Diabetes type 1']
+Scores: [0.018584879115223885]
+Labels: ['Diabetes type 2']
+Scores: [0.0205666646361351]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.31362536549568176]
+Labels: ['Diabetes']
+Scores: [0.07940257340669632]
+Labels: ['Cancer']
+Scores: [0.6606782674789429]
+Labels: ['Chronic respiratory disease']
+Scores: [0.28404924273490906]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7522475719451904]
+Labels: ['Mental Health']
+Scores: [0.08225882798433304]
+Labels: ['Diabetes type 1']
+Scores: [0.07477538287639618]
+Labels: ['Diabetes type 2']
+Scores: [0.07468057423830032]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731058
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'United States', 'Middle Aged', 'Depression', 'Adult', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Aged', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07580514997243881]
+Labels: ['Diabetes']
+Scores: [0.5130741000175476]
+Labels: ['Cancer']
+Scores: [0.04344220459461212]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07764478027820587]
+Labels: ['Cardiovascular diseases']
+Scores: [0.33222195506095886]
+Labels: ['Mental Health']
+Scores: [0.06962436437606812]
+Labels: ['Diabetes type 1']
+Scores: [0.5080217719078064]
+Labels: ['Diabetes type 2']
+Scores: [0.3923313319683075]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730958
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Triglycerides', 'Female', 'Middle Aged', 'Cardiovascular Diseases', 'Blood Glucose', 'Aged', 'Retrospective Studies', 'Cross-Sectional Studies', 'Atherosclerosis', 'China', 'Risk Factors', 'Longitudinal Studies', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1820385754108429]
+Labels: ['Diabetes']
+Scores: [0.18944460153579712]
+Labels: ['Cancer']
+Scores: [0.20573115348815918]
+Labels: ['Chronic respiratory disease']
+Scores: [0.20738303661346436]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2279876172542572]
+Labels: ['Mental Health']
+Scores: [0.2138206958770752]
+Labels: ['Diabetes type 1']
+Scores: [0.1690848469734192]
+Labels: ['Diabetes type 2']
+Scores: [0.1698465198278427]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730871
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Genome-Wide Association Study', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Carotid Intima-Media Thickness', 'Genetic Pleiotropy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.062363673001527786]
+Labels: ['Diabetes']
+Scores: [0.06680845469236374]
+Labels: ['Cancer']
+Scores: [0.06004725396633148]
+Labels: ['Chronic respiratory disease']
+Scores: [0.060138653963804245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06579884886741638]
+Labels: ['Mental Health']
+Scores: [0.060553740710020065]
+Labels: ['Diabetes type 1']
+Scores: [0.06764546036720276]
+Labels: ['Diabetes type 2']
+Scores: [0.06651224941015244]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730843
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Electrocardiography', 'Male', 'Female', 'Middle Aged', 'Smoking', 'Adult', 'Cotinine', 'Arrhythmias, Cardiac', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7796252369880676]
+Labels: ['Diabetes']
+Scores: [0.7416940331459045]
+Labels: ['Cancer']
+Scores: [0.7518523931503296]
+Labels: ['Chronic respiratory disease']
+Scores: [0.763676106929779]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7947331070899963]
+Labels: ['Mental Health']
+Scores: [0.7332427501678467]
+Labels: ['Diabetes type 1']
+Scores: [0.7570019960403442]
+Labels: ['Diabetes type 2']
+Scores: [0.7592138648033142]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39730815
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chile', 'Male', 'Female', 'Exercise', 'Adult', 'Middle Aged', 'Depression', 'Cardiometabolic Risk Factors', 'Obesity', 'Prevalence', 'Overweight', 'Risk Factors', 'Aged', 'Young Adult', 'Cardiovascular Diseases', 'Waist Circumference', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.28608089685440063]
+Labels: ['Diabetes']
+Scores: [0.26081615686416626]
+Labels: ['Cancer']
+Scores: [0.2799757421016693]
+Labels: ['Chronic respiratory disease']
+Scores: [0.28692522644996643]
+Labels: ['Cardiovascular diseases']
+Scores: [0.29398030042648315]
+Labels: ['Mental Health']
+Scores: [0.2830902338027954]
+Labels: ['Diabetes type 1']
+Scores: [0.2709723711013794]
+Labels: ['Diabetes type 2']
+Scores: [0.273525208234787]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6419169902801514]
+Labels: ['Diabetes']
+Scores: [0.6561969518661499]
+Labels: ['Cancer']
+Scores: [0.6376361846923828]
+Labels: ['Chronic respiratory disease']
+Scores: [0.63225257396698]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6599365472793579]
+Labels: ['Mental Health']
+Scores: [0.5989141464233398]
+Labels: ['Diabetes type 1']
+Scores: [0.6439790725708008]
+Labels: ['Diabetes type 2']
+Scores: [0.6421658396720886]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.43903541564941406]
+Labels: ['Diabetes']
+Scores: [0.3837989568710327]
+Labels: ['Cancer']
+Scores: [0.4160495698451996]
+Labels: ['Chronic respiratory disease']
+Scores: [0.39158308506011963]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4720314145088196]
+Labels: ['Mental Health']
+Scores: [0.44526633620262146]
+Labels: ['Diabetes type 1']
+Scores: [0.38301923871040344]
+Labels: ['Diabetes type 2']
+Scores: [0.37887290120124817]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730152
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Cross-Sectional Studies', 'Dyslipidemias', 'Middle Aged', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Diet', 'Aged, 80 and over', 'Logistic Models', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07183191180229187]
+Labels: ['Diabetes']
+Scores: [0.029183456674218178]
+Labels: ['Cancer']
+Scores: [0.050145577639341354]
+Labels: ['Chronic respiratory disease']
+Scores: [0.048265207558870316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11958211660385132]
+Labels: ['Mental Health']
+Scores: [0.027362920343875885]
+Labels: ['Diabetes type 1']
+Scores: [0.02977573871612549]
+Labels: ['Diabetes type 2']
+Scores: [0.029749752953648567]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729514
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Tobacco Smoke Pollution', 'Global Burden of Disease', 'Male', 'Female', 'Disability-Adjusted Life Years', 'Middle Aged', 'Global Health', 'Adult', 'Aged', 'Quality-Adjusted Life Years']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09430202096700668]
+Labels: ['Diabetes']
+Scores: [0.02618413046002388]
+Labels: ['Cancer']
+Scores: [0.20593193173408508]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08180459588766098]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8216016292572021]
+Labels: ['Mental Health']
+Scores: [0.05449703335762024]
+Labels: ['Diabetes type 1']
+Scores: [0.0220943596214056]
+Labels: ['Diabetes type 2']
+Scores: [0.026020929217338562]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729492
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'United States', 'Nutrition Surveys', 'Bayes Theorem', 'Environmental Exposure', 'Metals', 'Aged', 'Proportional Hazards Models', 'Cause of Death', 'Lead']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16303609311580658]
+Labels: ['Diabetes']
+Scores: [0.04678590968251228]
+Labels: ['Cancer']
+Scores: [0.10894481837749481]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10458720475435257]
+Labels: ['Cardiovascular diseases']
+Scores: [0.40850046277046204]
+Labels: ['Mental Health']
+Scores: [0.1431676745414734]
+Labels: ['Diabetes type 1']
+Scores: [0.0275192242115736]
+Labels: ['Diabetes type 2']
+Scores: [0.02995874546468258]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729424
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Polymorphism, Single Nucleotide', 'Genome-Wide Association Study', 'Male', 'Female', 'Phenotype', 'Norway', 'Genetic Predisposition to Disease', 'Cardiovascular Diseases', 'Phenomics', 'Middle Aged', 'Linkage Disequilibrium', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8064462542533875]
+Labels: ['Diabetes']
+Scores: [0.7876536250114441]
+Labels: ['Cancer']
+Scores: [0.7973970174789429]
+Labels: ['Chronic respiratory disease']
+Scores: [0.802545428276062]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7738633751869202]
+Labels: ['Mental Health']
+Scores: [0.7712579965591431]
+Labels: ['Diabetes type 1']
+Scores: [0.7785780429840088]
+Labels: ['Diabetes type 2']
+Scores: [0.7794687151908875]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39727377
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Middle Aged', 'Blood Pressure', 'Renal Dialysis', 'Crystalloid Solutions', 'Osmotic Pressure', 'Aged', 'Kidney Failure, Chronic', 'Cardiovascular Diseases', 'Risk Factors', 'Adult', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025702232494950294]
+Labels: ['Diabetes']
+Scores: [0.04013391584157944]
+Labels: ['Cancer']
+Scores: [0.2471979260444641]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019024426117539406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9202297925949097]
+Labels: ['Mental Health']
+Scores: [0.11516134440898895]
+Labels: ['Diabetes type 1']
+Scores: [0.032449521124362946]
+Labels: ['Diabetes type 2']
+Scores: [0.021552246063947678]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08099855482578278]
+Labels: ['Diabetes']
+Scores: [0.868346095085144]
+Labels: ['Cancer']
+Scores: [0.12003651261329651]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029500577598810196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.887230396270752]
+Labels: ['Mental Health']
+Scores: [0.07171891629695892]
+Labels: ['Diabetes type 1']
+Scores: [0.9085214138031006]
+Labels: ['Diabetes type 2']
+Scores: [0.7131490707397461]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Glycogen Synthase Kinase 3 beta', 'Cardiovascular Diseases', 'Wnt Signaling Pathway', 'Animals', 'Adipose Tissue', 'beta Catenin', 'Metabolic Syndrome', 'Metabolic Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9513010382652283]
+Labels: ['Diabetes']
+Scores: [0.9595177173614502]
+Labels: ['Cancer']
+Scores: [0.9580045342445374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.958905041217804]
+Labels: ['Cardiovascular diseases']
+Scores: [0.953295111656189]
+Labels: ['Mental Health']
+Scores: [0.9509645104408264]
+Labels: ['Diabetes type 1']
+Scores: [0.9593449831008911]
+Labels: ['Diabetes type 2']
+Scores: [0.9593569040298462]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06989096850156784]
+Labels: ['Diabetes']
+Scores: [0.3799334466457367]
+Labels: ['Cancer']
+Scores: [0.09765098989009857]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08911321312189102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42036908864974976]
+Labels: ['Mental Health']
+Scores: [0.08361577987670898]
+Labels: ['Diabetes type 1']
+Scores: [0.3356836438179016]
+Labels: ['Diabetes type 2']
+Scores: [0.2716263234615326]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725697
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Klotho Proteins', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prospective Studies', 'Adult', 'Nutrition Surveys', 'Aged', 'Cause of Death', 'Depression', 'Proportional Hazards Models', 'Mortality', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22176992893218994]
+Labels: ['Diabetes']
+Scores: [0.27118992805480957]
+Labels: ['Cancer']
+Scores: [0.24555715918540955]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2452336698770523]
+Labels: ['Cardiovascular diseases']
+Scores: [0.31460899114608765]
+Labels: ['Mental Health']
+Scores: [0.24041417241096497]
+Labels: ['Diabetes type 1']
+Scores: [0.279958575963974]
+Labels: ['Diabetes type 2']
+Scores: [0.28035444021224976]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725339
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'beta Catenin', 'Cardiovascular Diseases', 'Receptors, Notch', 'Wnt Signaling Pathway']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.771818995475769]
+Labels: ['Diabetes']
+Scores: [0.8203449845314026]
+Labels: ['Cancer']
+Scores: [0.8250417709350586]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8348889946937561]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8483400344848633]
+Labels: ['Mental Health']
+Scores: [0.8048761487007141]
+Labels: ['Diabetes type 1']
+Scores: [0.8084303736686707]
+Labels: ['Diabetes type 2']
+Scores: [0.8189282417297363]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39724625
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Ukraine', 'Middle Aged', 'Emergency Responders', 'Adult', 'Military Personnel', 'Electrocardiography', 'Radiation Exposure', 'Occupational Exposure', 'Hypertension', 'Echocardiography', 'Cardiovascular System', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21294088661670685]
+Labels: ['Diabetes']
+Scores: [0.11352464556694031]
+Labels: ['Cancer']
+Scores: [0.241813063621521]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17862975597381592]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8003114461898804]
+Labels: ['Mental Health']
+Scores: [0.08362038433551788]
+Labels: ['Diabetes type 1']
+Scores: [0.13468003273010254]
+Labels: ['Diabetes type 2']
+Scores: [0.13097062706947327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.48060834407806396]
+Labels: ['Diabetes']
+Scores: [0.2231576144695282]
+Labels: ['Cancer']
+Scores: [0.30497103929519653]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3365042209625244]
+Labels: ['Cardiovascular diseases']
+Scores: [0.331039696931839]
+Labels: ['Mental Health']
+Scores: [0.22049199044704437]
+Labels: ['Diabetes type 1']
+Scores: [0.2194381058216095]
+Labels: ['Diabetes type 2']
+Scores: [0.22240719199180603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724119
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mental Disorders', 'Male', 'Adult', 'Female', 'Middle Aged', 'Schizophrenia', 'Mass Screening', 'Healthy Lifestyle', 'Occupational Therapy', 'Cardiovascular Diseases', 'Pilot Projects', 'Risk Factors', 'Physical Therapy Modalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.41280314326286316]
+Labels: ['Diabetes']
+Scores: [0.43391159176826477]
+Labels: ['Cancer']
+Scores: [0.42618441581726074]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4206700325012207]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4184539318084717]
+Labels: ['Mental Health']
+Scores: [0.42537805438041687]
+Labels: ['Diabetes type 1']
+Scores: [0.43954554200172424]
+Labels: ['Diabetes type 2']
+Scores: [0.4412901997566223]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723980
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Delphi Technique', 'Fatty Liver', 'Mass Screening', 'Metabolic Syndrome', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33242565393447876]
+Labels: ['Diabetes']
+Scores: [0.37047240138053894]
+Labels: ['Cancer']
+Scores: [0.3699268102645874]
+Labels: ['Chronic respiratory disease']
+Scores: [0.34983038902282715]
+Labels: ['Cardiovascular diseases']
+Scores: [0.41509827971458435]
+Labels: ['Mental Health']
+Scores: [0.3636535108089447]
+Labels: ['Diabetes type 1']
+Scores: [0.38923507928848267]
+Labels: ['Diabetes type 2']
+Scores: [0.38682249188423157]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723782
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Risk Factors', 'SARS-CoV-2', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10282410681247711]
+Labels: ['Diabetes']
+Scores: [0.0166613832116127]
+Labels: ['Cancer']
+Scores: [0.10590481758117676]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04428016021847725]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5289497971534729]
+Labels: ['Mental Health']
+Scores: [0.02176494523882866]
+Labels: ['Diabetes type 1']
+Scores: [0.0032547598239034414]
+Labels: ['Diabetes type 2']
+Scores: [0.0031513478606939316]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723699
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Female', 'Male', 'Middle Aged', 'Obesity', 'Cohort Studies', 'Cardiovascular Diseases', 'China', 'Body Mass Index', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.101270392537117]
+Labels: ['Diabetes']
+Scores: [0.024657705798745155]
+Labels: ['Cancer']
+Scores: [0.08409729599952698]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03205346316099167]
+Labels: ['Cardiovascular diseases']
+Scores: [0.35107576847076416]
+Labels: ['Mental Health']
+Scores: [0.034014616161584854]
+Labels: ['Diabetes type 1']
+Scores: [0.013686400838196278]
+Labels: ['Diabetes type 2']
+Scores: [0.014830775558948517]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722803
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Testosterone', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Triglycerides', 'Nutrition Surveys', 'Insulin Resistance', 'Cholesterol, HDL', 'Aged', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24592067301273346]
+Labels: ['Diabetes']
+Scores: [0.034943029284477234]
+Labels: ['Cancer']
+Scores: [0.11295537650585175]
+Labels: ['Chronic respiratory disease']
+Scores: [0.055004268884658813]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5777493715286255]
+Labels: ['Mental Health']
+Scores: [0.09717228263616562]
+Labels: ['Diabetes type 1']
+Scores: [0.033435117453336716]
+Labels: ['Diabetes type 2']
+Scores: [0.03173810988664627]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722158
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Comorbidity', 'Kidney Diseases', 'Masked Hypertension', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03261103853583336]
+Labels: ['Diabetes']
+Scores: [0.01857706531882286]
+Labels: ['Cancer']
+Scores: [0.06444891542196274]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04119959473609924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8332086801528931]
+Labels: ['Mental Health']
+Scores: [0.05557140335440636]
+Labels: ['Diabetes type 1']
+Scores: [0.015704579651355743]
+Labels: ['Diabetes type 2']
+Scores: [0.011905458755791187]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721760
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Administration, Inhalation', 'Bronchodilator Agents', 'Cardiovascular Diseases', 'England', 'Adrenal Cortex Hormones', 'Middle Aged', 'Heart Failure', 'Acute Coronary Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10727368295192719]
+Labels: ['Diabetes']
+Scores: [0.008191532455384731]
+Labels: ['Cancer']
+Scores: [0.07074236869812012]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2019944190979004]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5508710145950317]
+Labels: ['Mental Health']
+Scores: [0.03059541806578636]
+Labels: ['Diabetes type 1']
+Scores: [0.0075413743034005165]
+Labels: ['Diabetes type 2']
+Scores: [0.006810770370066166]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721361
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Sleep Apnea, Obstructive', 'Humans', 'Cardiovascular Diseases', 'China', 'Consensus', 'Risk Factors', 'Delphi Technique', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9325063824653625]
+Labels: ['Diabetes']
+Scores: [0.8966540694236755]
+Labels: ['Cancer']
+Scores: [0.9302974939346313]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9520831108093262]
+Labels: ['Cardiovascular diseases']
+Scores: [0.96458899974823]
+Labels: ['Mental Health']
+Scores: [0.9180858135223389]
+Labels: ['Diabetes type 1']
+Scores: [0.9231098890304565]
+Labels: ['Diabetes type 2']
+Scores: [0.9238889217376709]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07171215116977692]
+Labels: ['Diabetes']
+Scores: [0.1507902294397354]
+Labels: ['Cancer']
+Scores: [0.08347326517105103]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03558932617306709]
+Labels: ['Cardiovascular diseases']
+Scores: [0.24006901681423187]
+Labels: ['Mental Health']
+Scores: [0.0637912005186081]
+Labels: ['Diabetes type 1']
+Scores: [0.16635021567344666]
+Labels: ['Diabetes type 2']
+Scores: [0.21922625601291656]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719690
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Neoplasms', 'Cardiovascular Diseases', 'Prognosis', 'Risk Factors', 'Antineoplastic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7178630232810974]
+Labels: ['Diabetes']
+Scores: [0.7592248916625977]
+Labels: ['Cancer']
+Scores: [0.8007475137710571]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7763724327087402]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7965226173400879]
+Labels: ['Mental Health']
+Scores: [0.7646080851554871]
+Labels: ['Diabetes type 1']
+Scores: [0.7741006016731262]
+Labels: ['Diabetes type 2']
+Scores: [0.7727147936820984]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39719674
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Regenerative Medicine', 'Myocytes, Cardiac', 'Carbon', 'Cell Differentiation', 'Animals', 'Quantum Dots', 'Pluripotent Stem Cells', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7216235995292664]
+Labels: ['Diabetes']
+Scores: [0.49979934096336365]
+Labels: ['Cancer']
+Scores: [0.5695050358772278]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6538457274436951]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8021436929702759]
+Labels: ['Mental Health']
+Scores: [0.36762744188308716]
+Labels: ['Diabetes type 1']
+Scores: [0.493228018283844]
+Labels: ['Diabetes type 2']
+Scores: [0.5155957937240601]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719571
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Nutrition Surveys', 'Adult', 'United States', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Young Adult', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5934038162231445]
+Labels: ['Diabetes']
+Scores: [0.5973452925682068]
+Labels: ['Cancer']
+Scores: [0.6044667363166809]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6085036396980286]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6226348280906677]
+Labels: ['Mental Health']
+Scores: [0.6083424687385559]
+Labels: ['Diabetes type 1']
+Scores: [0.5983067154884338]
+Labels: ['Diabetes type 2']
+Scores: [0.6004855036735535]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719456
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Neoplasms', 'Male', 'Female', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Middle Aged', 'Risk Factors', 'Aged', 'Nutrition Surveys', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21126221120357513]
+Labels: ['Diabetes']
+Scores: [0.21151398122310638]
+Labels: ['Cancer']
+Scores: [0.2255365550518036]
+Labels: ['Chronic respiratory disease']
+Scores: [0.21701250970363617]
+Labels: ['Cardiovascular diseases']
+Scores: [0.22967101633548737]
+Labels: ['Mental Health']
+Scores: [0.2123229205608368]
+Labels: ['Diabetes type 1']
+Scores: [0.21070191264152527]
+Labels: ['Diabetes type 2']
+Scores: [0.2121085226535797]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719431
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asian', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prevalence', 'Adult', 'Aged', 'Sleep', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Cross-Sectional Studies', 'Health Surveys', 'Sleep Duration']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10636435449123383]
+Labels: ['Diabetes']
+Scores: [0.01963726617395878]
+Labels: ['Cancer']
+Scores: [0.07494251430034637]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04101776331663132]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8682829141616821]
+Labels: ['Mental Health']
+Scores: [0.05799718573689461]
+Labels: ['Diabetes type 1']
+Scores: [0.012175872921943665]
+Labels: ['Diabetes type 2']
+Scores: [0.012490557506680489]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719421
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Assessment', 'Risk Factors', 'Potassium', 'Aged, 80 and over', 'Arrhythmias, Cardiac', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04719408228993416]
+Labels: ['Diabetes']
+Scores: [0.01356158871203661]
+Labels: ['Cancer']
+Scores: [0.10936929285526276]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06438647210597992]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8810167908668518]
+Labels: ['Mental Health']
+Scores: [0.040602684020996094]
+Labels: ['Diabetes type 1']
+Scores: [0.008438312448561192]
+Labels: ['Diabetes type 2']
+Scores: [0.007801475003361702]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719405
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Adult', 'Nutrition Surveys', 'Chronic Disease', 'United States', 'Cardiovascular Diseases', 'Aged', 'Health Status', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1016782596707344]
+Labels: ['Diabetes']
+Scores: [0.012621412985026836]
+Labels: ['Cancer']
+Scores: [0.04749845713376999]
+Labels: ['Chronic respiratory disease']
+Scores: [0.043723803013563156]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6469446420669556]
+Labels: ['Mental Health']
+Scores: [0.03425348550081253]
+Labels: ['Diabetes type 1']
+Scores: [0.00878375954926014]
+Labels: ['Diabetes type 2']
+Scores: [0.007998242042958736]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719315
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Neoplasms', 'Male', 'Nephrectomy', 'Female', 'Middle Aged', 'Propensity Score', 'Aged', 'Retrospective Studies', 'Cardiovascular Diseases', 'Risk Factors', 'Carcinoma, Renal Cell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27028486132621765]
+Labels: ['Diabetes']
+Scores: [0.22402310371398926]
+Labels: ['Cancer']
+Scores: [0.3403812050819397]
+Labels: ['Chronic respiratory disease']
+Scores: [0.25549042224884033]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3618910014629364]
+Labels: ['Mental Health']
+Scores: [0.25430408120155334]
+Labels: ['Diabetes type 1']
+Scores: [0.24117976427078247]
+Labels: ['Diabetes type 2']
+Scores: [0.24450601637363434]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.264291375875473]
+Labels: ['Diabetes']
+Scores: [0.7660350203514099]
+Labels: ['Cancer']
+Scores: [0.1340974122285843]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06556926667690277]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12708117067813873]
+Labels: ['Mental Health']
+Scores: [0.03929147869348526]
+Labels: ['Diabetes type 1']
+Scores: [0.626281201839447]
+Labels: ['Diabetes type 2']
+Scores: [0.4524701237678528]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012037140317261219]
+Labels: ['Diabetes']
+Scores: [0.8394980430603027]
+Labels: ['Cancer']
+Scores: [0.18949948251247406]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014679530635476112]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5093713998794556]
+Labels: ['Mental Health']
+Scores: [0.0314020961523056]
+Labels: ['Diabetes type 1']
+Scores: [0.6160959601402283]
+Labels: ['Diabetes type 2']
+Scores: [0.9217085242271423]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718412
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Tea', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'China', 'Aged, 80 and over', 'Longitudinal Studies', 'Proportional Hazards Models', 'Longevity', 'Mortality', 'Middle Aged', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022642934694886208]
+Labels: ['Diabetes']
+Scores: [0.005073105916380882]
+Labels: ['Cancer']
+Scores: [0.007221142295747995]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005769345443695784]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07489552348852158]
+Labels: ['Mental Health']
+Scores: [0.010789402760565281]
+Labels: ['Diabetes type 1']
+Scores: [0.006135762669146061]
+Labels: ['Diabetes type 2']
+Scores: [0.005961475428193808]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09592802077531815]
+Labels: ['Diabetes']
+Scores: [0.5141759514808655]
+Labels: ['Cancer']
+Scores: [0.6257779598236084]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6404783725738525]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7962475419044495]
+Labels: ['Mental Health']
+Scores: [0.25930261611938477]
+Labels: ['Diabetes type 1']
+Scores: [0.564740002155304]
+Labels: ['Diabetes type 2']
+Scores: [0.6440390348434448]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717783
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Cardiovascular Diseases', 'Heart Disease Risk Factors', 'Periodontitis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6750549077987671]
+Labels: ['Diabetes']
+Scores: [0.6611126661300659]
+Labels: ['Cancer']
+Scores: [0.6485108137130737]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6480968594551086]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6835879683494568]
+Labels: ['Mental Health']
+Scores: [0.6112410426139832]
+Labels: ['Diabetes type 1']
+Scores: [0.6689046025276184]
+Labels: ['Diabetes type 2']
+Scores: [0.6738216280937195]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717036
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Sweden', 'Middle Aged', 'Female', 'Cardiovascular Diseases', 'Aged', 'Aged, 80 and over', 'Incidence', 'Surveys and Questionnaires', 'Risk Factors', 'Sugar-Sweetened Beverages', 'Diet', 'Dietary Sugars']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07322990894317627]
+Labels: ['Diabetes']
+Scores: [0.035584986209869385]
+Labels: ['Cancer']
+Scores: [0.0837421640753746]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06907480955123901]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2642757296562195]
+Labels: ['Mental Health']
+Scores: [0.11176484078168869]
+Labels: ['Diabetes type 1']
+Scores: [0.04538919776678085]
+Labels: ['Diabetes type 2']
+Scores: [0.0452556312084198]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717032
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Obesity', 'Middle Aged', 'Adult', 'Retrospective Studies', 'Neoplasms', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Phenotype', 'Proportional Hazards Models', 'Risk Factors', 'Cause of Death', 'Aged', 'Age Factors', 'Body Mass Index', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04145656153559685]
+Labels: ['Diabetes']
+Scores: [0.012618303298950195]
+Labels: ['Cancer']
+Scores: [0.5566591620445251]
+Labels: ['Chronic respiratory disease']
+Scores: [0.042532965540885925]
+Labels: ['Cardiovascular diseases']
+Scores: [0.22382937371730804]
+Labels: ['Mental Health']
+Scores: [0.048372477293014526]
+Labels: ['Diabetes type 1']
+Scores: [0.007620012387633324]
+Labels: ['Diabetes type 2']
+Scores: [0.008274014107882977]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029655562713742256]
+Labels: ['Diabetes']
+Scores: [0.010936321690678596]
+Labels: ['Cancer']
+Scores: [0.0602722205221653]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023040683940052986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5969720482826233]
+Labels: ['Mental Health']
+Scores: [0.0515291653573513]
+Labels: ['Diabetes type 1']
+Scores: [0.019412294030189514]
+Labels: ['Diabetes type 2']
+Scores: [0.02088323049247265]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715781
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Prospective Studies', 'Risk Factors', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Fatty Liver', 'Cause of Death', 'Metabolic Diseases', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29467183351516724]
+Labels: ['Diabetes']
+Scores: [0.22449268400669098]
+Labels: ['Cancer']
+Scores: [0.31601759791374207]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2715297341346741]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3068140745162964]
+Labels: ['Mental Health']
+Scores: [0.3200475573539734]
+Labels: ['Diabetes type 1']
+Scores: [0.25238165259361267]
+Labels: ['Diabetes type 2']
+Scores: [0.26754030585289]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715477
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Aged', 'Ischemic Attack, Transient', 'Middle Aged', 'Cardiovascular Diseases', 'Netherlands', 'Cohort Studies', 'Risk Factors', 'Aged, 80 and over', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4343770742416382]
+Labels: ['Diabetes']
+Scores: [0.06643762439489365]
+Labels: ['Cancer']
+Scores: [0.2762475907802582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1615855097770691]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9140264391899109]
+Labels: ['Mental Health']
+Scores: [0.0853634625673294]
+Labels: ['Diabetes type 1']
+Scores: [0.04871329665184021]
+Labels: ['Diabetes type 2']
+Scores: [0.05098576098680496]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8202776312828064]
+Labels: ['Diabetes']
+Scores: [0.8351088166236877]
+Labels: ['Cancer']
+Scores: [0.8345038890838623]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8372263312339783]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8249551653862]
+Labels: ['Mental Health']
+Scores: [0.8157699108123779]
+Labels: ['Diabetes type 1']
+Scores: [0.832568883895874]
+Labels: ['Diabetes type 2']
+Scores: [0.8354370594024658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39714500
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Potassium', 'Risk Factors', 'Cardiovascular Diseases', 'Electrocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2142220437526703]
+Labels: ['Diabetes']
+Scores: [0.4940674602985382]
+Labels: ['Cancer']
+Scores: [0.7273320555686951]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4808938503265381]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8102594614028931]
+Labels: ['Mental Health']
+Scores: [0.35573065280914307]
+Labels: ['Diabetes type 1']
+Scores: [0.628822386264801]
+Labels: ['Diabetes type 2']
+Scores: [0.602159321308136]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Patient Care Team', 'Chronic Disease', 'Italy', 'Multimorbidity', 'Telemedicine', 'Cardiology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2915745675563812]
+Labels: ['Diabetes']
+Scores: [0.28115758299827576]
+Labels: ['Cancer']
+Scores: [0.28641244769096375]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2722615897655487]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30890917778015137]
+Labels: ['Mental Health']
+Scores: [0.2725487947463989]
+Labels: ['Diabetes type 1']
+Scores: [0.29087793827056885]
+Labels: ['Diabetes type 2']
+Scores: [0.2931804060935974]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714021
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Exercise', 'Life Style', 'Metabolic Syndrome', 'Primary Health Care', 'Risk Factors', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25589197874069214]
+Labels: ['Diabetes']
+Scores: [0.7440838813781738]
+Labels: ['Cancer']
+Scores: [0.31393659114837646]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2237437665462494]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2847318947315216]
+Labels: ['Mental Health']
+Scores: [0.13973234593868256]
+Labels: ['Diabetes type 1']
+Scores: [0.5527583956718445]
+Labels: ['Diabetes type 2']
+Scores: [0.48393550515174866]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39713140
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neoplasms', 'Lipid Peroxidation', 'Reperfusion Injury', 'Cardiovascular Diseases', 'Inflammatory Bowel Diseases', 'Alzheimer Disease', 'Iron', 'Acute Kidney Injury', 'Stroke', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.37050676345825195]
+Labels: ['Diabetes']
+Scores: [0.5572712421417236]
+Labels: ['Cancer']
+Scores: [0.6548929810523987]
+Labels: ['Chronic respiratory disease']
+Scores: [0.33938872814178467]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4110707640647888]
+Labels: ['Mental Health']
+Scores: [0.28554046154022217]
+Labels: ['Diabetes type 1']
+Scores: [0.6306291818618774]
+Labels: ['Diabetes type 2']
+Scores: [0.651206910610199]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39712314
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Incidence', 'Microclimate', 'China', 'Cerebrovascular Disorders', 'Meteorological Concepts', 'Temperature', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10982812196016312]
+Labels: ['Diabetes']
+Scores: [0.010814162902534008]
+Labels: ['Cancer']
+Scores: [0.043672770261764526]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03170047700405121]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8411239385604858]
+Labels: ['Mental Health']
+Scores: [0.058383140712976456]
+Labels: ['Diabetes type 1']
+Scores: [0.010311901569366455]
+Labels: ['Diabetes type 2']
+Scores: [0.013047248125076294]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711839
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'South Africa', 'Tertiary Care Centers', 'Retrospective Studies', 'Adult', 'Male', 'Middle Aged', 'Magnetic Resonance Imaging', 'Young Adult', 'Aged', 'Cardiovascular Diseases', 'Adolescent', 'Hospitals, Public', 'Contrast Media', 'Aged, 80 and over', 'Heart Diseases', 'Child', 'Child, Preschool', 'Medical Audit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026104170829057693]
+Labels: ['Diabetes']
+Scores: [0.005617819726467133]
+Labels: ['Cancer']
+Scores: [0.019995588809251785]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02023885026574135]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6325492262840271]
+Labels: ['Mental Health']
+Scores: [0.022051792591810226]
+Labels: ['Diabetes type 1']
+Scores: [0.0043249973095953465]
+Labels: ['Diabetes type 2']
+Scores: [0.004531417042016983]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710789
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Neovascularization, Pathologic', 'Neoplasms', 'Inflammation', 'Cardiovascular Diseases', 'Animals', 'Neurodegenerative Diseases', 'Angiogenesis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8520733118057251]
+Labels: ['Diabetes']
+Scores: [0.8835962414741516]
+Labels: ['Cancer']
+Scores: [0.8806114792823792]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8728910088539124]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9079844951629639]
+Labels: ['Mental Health']
+Scores: [0.840582013130188]
+Labels: ['Diabetes type 1']
+Scores: [0.8782141804695129]
+Labels: ['Diabetes type 2']
+Scores: [0.877619743347168]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39710702
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neurodegenerative Diseases', 'Cardiovascular Diseases', 'Neoplasms', 'Animals', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04426876828074455]
+Labels: ['Diabetes']
+Scores: [0.01197105459868908]
+Labels: ['Cancer']
+Scores: [0.2310854196548462]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021637240424752235]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3260619342327118]
+Labels: ['Mental Health']
+Scores: [0.02614956721663475]
+Labels: ['Diabetes type 1']
+Scores: [0.011713908053934574]
+Labels: ['Diabetes type 2']
+Scores: [0.011975705623626709]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710576
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Middle Aged', 'Adult', 'Cross-Over Studies', 'Inflammation', 'Endotoxemia', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Diet', 'Polyphenols', 'Edible Grain', 'Feces', 'Bacteria', 'Fatty Acids, Omega-3', 'Dietary Fiber', 'Intestines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7150502800941467]
+Labels: ['Diabetes']
+Scores: [0.7604671120643616]
+Labels: ['Cancer']
+Scores: [0.7619706392288208]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7759572267532349]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7807333469390869]
+Labels: ['Mental Health']
+Scores: [0.7513349652290344]
+Labels: ['Diabetes type 1']
+Scores: [0.7684758901596069]
+Labels: ['Diabetes type 2']
+Scores: [0.7705655694007874]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39710465
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypersensitivity', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36957433819770813]
+Labels: ['Diabetes']
+Scores: [0.6200746297836304]
+Labels: ['Cancer']
+Scores: [0.6776249408721924]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7760063409805298]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9176373481750488]
+Labels: ['Mental Health']
+Scores: [0.33687689900398254]
+Labels: ['Diabetes type 1']
+Scores: [0.6556689143180847]
+Labels: ['Diabetes type 2']
+Scores: [0.6499534249305725]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709856
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'China', 'Middle Aged', 'Ambulances', 'Aged', 'Adult', 'Emergency Medical Dispatch', 'Temperature', 'Incidence', 'Adolescent', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3564653992652893]
+Labels: ['Diabetes']
+Scores: [0.12430571764707565]
+Labels: ['Cancer']
+Scores: [0.24578312039375305]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3444150686264038]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6621605157852173]
+Labels: ['Mental Health']
+Scores: [0.25676295161247253]
+Labels: ['Diabetes type 1']
+Scores: [0.10379438102245331]
+Labels: ['Diabetes type 2']
+Scores: [0.11652764678001404]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12385782599449158]
+Labels: ['Diabetes']
+Scores: [0.03773553669452667]
+Labels: ['Cancer']
+Scores: [0.8027157783508301]
+Labels: ['Chronic respiratory disease']
+Scores: [0.043369658291339874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.904863715171814]
+Labels: ['Mental Health']
+Scores: [0.07474669069051743]
+Labels: ['Diabetes type 1']
+Scores: [0.06361103802919388]
+Labels: ['Diabetes type 2']
+Scores: [0.042623430490493774]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709650
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Energy Metabolism', 'Lipid Metabolism', 'Signal Transduction', 'Stearic Acids', 'Stearoyl-CoA Desaturase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8051007390022278]
+Labels: ['Diabetes']
+Scores: [0.9139385223388672]
+Labels: ['Cancer']
+Scores: [0.827060878276825]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8936536908149719]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8464072346687317]
+Labels: ['Mental Health']
+Scores: [0.7296109199523926]
+Labels: ['Diabetes type 1']
+Scores: [0.926421582698822]
+Labels: ['Diabetes type 2']
+Scores: [0.9245973229408264]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39709627
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Drug Therapy, Combination', 'Hyperlipidemias', 'Hypolipidemic Agents', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cardiovascular Diseases', 'Cholesterol, LDL', 'Animals', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1941176950931549]
+Labels: ['Diabetes']
+Scores: [0.1195678859949112]
+Labels: ['Cancer']
+Scores: [0.1920088231563568]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19164559245109558]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2511503994464874]
+Labels: ['Mental Health']
+Scores: [0.147693932056427]
+Labels: ['Diabetes type 1']
+Scores: [0.13267667591571808]
+Labels: ['Diabetes type 2']
+Scores: [0.13402225077152252]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709554
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Feces', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Proteomics', 'Middle Aged', 'Heart Failure', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Proteome', 'Bacteria', 'Risk Factors', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.505839467048645]
+Labels: ['Diabetes']
+Scores: [0.46697500348091125]
+Labels: ['Cancer']
+Scores: [0.5014775991439819]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4785207211971283]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5275136828422546]
+Labels: ['Mental Health']
+Scores: [0.48354271054267883]
+Labels: ['Diabetes type 1']
+Scores: [0.48002827167510986]
+Labels: ['Diabetes type 2']
+Scores: [0.47672879695892334]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7462502121925354]
+Labels: ['Diabetes']
+Scores: [0.7839880585670471]
+Labels: ['Cancer']
+Scores: [0.7685860991477966]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7373509407043457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.787067174911499]
+Labels: ['Mental Health']
+Scores: [0.7457783818244934]
+Labels: ['Diabetes type 1']
+Scores: [0.7896081209182739]
+Labels: ['Diabetes type 2']
+Scores: [0.7777488231658936]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27140235900878906]
+Labels: ['Diabetes']
+Scores: [0.7990003228187561]
+Labels: ['Cancer']
+Scores: [0.3489411175251007]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3237360715866089]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9202929735183716]
+Labels: ['Mental Health']
+Scores: [0.12677648663520813]
+Labels: ['Diabetes type 1']
+Scores: [0.7322345972061157]
+Labels: ['Diabetes type 2']
+Scores: [0.7970484495162964]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709369
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asthma', 'Male', 'Female', 'Adult', 'Middle Aged', 'Nutrition Surveys', 'Inflammation', 'Cause of Death', 'Cardiovascular Diseases', 'Aged', 'United States', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009048080071806908]
+Labels: ['Diabetes']
+Scores: [0.00446423189714551]
+Labels: ['Cancer']
+Scores: [0.004980870056897402]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009166785515844822]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0258498415350914]
+Labels: ['Mental Health']
+Scores: [0.009772181510925293]
+Labels: ['Diabetes type 1']
+Scores: [0.00342970946803689]
+Labels: ['Diabetes type 2']
+Scores: [0.002972354181110859]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709364
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'Postoperative Complications', 'Cardiovascular Diseases', 'Abdomen', 'Risk Assessment', 'Nomograms', 'Retrospective Studies', 'Aged, 80 and over', 'Risk Factors', 'Predictive Value of Tests', 'ROC Curve', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017664438113570213]
+Labels: ['Diabetes']
+Scores: [0.004305943381041288]
+Labels: ['Cancer']
+Scores: [0.029737040400505066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01217888668179512]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7232993841171265]
+Labels: ['Mental Health']
+Scores: [0.016549929976463318]
+Labels: ['Diabetes type 1']
+Scores: [0.0023445256520062685]
+Labels: ['Diabetes type 2']
+Scores: [0.0024168610107153654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Insulin Resistance', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Sex Factors', 'Risk Factors', 'Cause of Death', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12994284927845]
+Labels: ['Diabetes']
+Scores: [0.49762555956840515]
+Labels: ['Cancer']
+Scores: [0.04361625388264656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028578709810972214]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14660733938217163]
+Labels: ['Mental Health']
+Scores: [0.04413595050573349]
+Labels: ['Diabetes type 1']
+Scores: [0.49136218428611755]
+Labels: ['Diabetes type 2']
+Scores: [0.3575790226459503]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06881207972764969]
+Labels: ['Diabetes']
+Scores: [0.034104712307453156]
+Labels: ['Cancer']
+Scores: [0.06614290177822113]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05889526754617691]
+Labels: ['Cardiovascular diseases']
+Scores: [0.28980445861816406]
+Labels: ['Mental Health']
+Scores: [0.03466670215129852]
+Labels: ['Diabetes type 1']
+Scores: [0.027372874319553375]
+Labels: ['Diabetes type 2']
+Scores: [0.030362920835614204]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708590
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Sleep Apnea, Obstructive', 'Cardiovascular Diseases', 'Quality of Life', 'Heart Disease Risk Factors', 'Sex Factors', 'Risk Factors', 'Prevalence', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24411092698574066]
+Labels: ['Diabetes']
+Scores: [0.38026049733161926]
+Labels: ['Cancer']
+Scores: [0.3888627886772156]
+Labels: ['Chronic respiratory disease']
+Scores: [0.36240923404693604]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5132654905319214]
+Labels: ['Mental Health']
+Scores: [0.2504666745662689]
+Labels: ['Diabetes type 1']
+Scores: [0.4226371943950653]
+Labels: ['Diabetes type 2']
+Scores: [0.41761869192123413]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708140
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Osteoarthritis', 'Middle Aged', 'Aged', 'Heart Disease Risk Factors', 'Prevalence', 'Hand Joints', 'Comorbidity', 'Cardiovascular Diseases', 'Hand Strength', 'Quality of Life', 'Risk Factors', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09682639688253403]
+Labels: ['Diabetes']
+Scores: [0.034764233976602554]
+Labels: ['Cancer']
+Scores: [0.14875516295433044]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14268703758716583]
+Labels: ['Cardiovascular diseases']
+Scores: [0.46347537636756897]
+Labels: ['Mental Health']
+Scores: [0.0644657090306282]
+Labels: ['Diabetes type 1']
+Scores: [0.03573907911777496]
+Labels: ['Diabetes type 2']
+Scores: [0.036016590893268585]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707266
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Vascular Stiffness', 'Breathing Exercises', 'Randomized Controlled Trials as Topic', 'Pulse Wave Analysis', 'Resistance Training', 'Cardiovascular Diseases', 'Exercise', 'Quality of Life', 'Respiratory Muscles', 'Aged', 'Ankle Brachial Index', 'Male', 'Exercise Therapy', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.042894382029771805]
+Labels: ['Diabetes']
+Scores: [0.00646701967343688]
+Labels: ['Cancer']
+Scores: [0.02948804758489132]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15815801918506622]
+Labels: ['Cardiovascular diseases']
+Scores: [0.32923969626426697]
+Labels: ['Mental Health']
+Scores: [0.029307251796126366]
+Labels: ['Diabetes type 1']
+Scores: [0.005677464418113232]
+Labels: ['Diabetes type 2']
+Scores: [0.006148145999759436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21664336323738098]
+Labels: ['Diabetes']
+Scores: [0.06105012819170952]
+Labels: ['Cancer']
+Scores: [0.08864803612232208]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10522343218326569]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1485089808702469]
+Labels: ['Mental Health']
+Scores: [0.8078680038452148]
+Labels: ['Diabetes type 1']
+Scores: [0.06341934204101562]
+Labels: ['Diabetes type 2']
+Scores: [0.06484027951955795]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12408948689699173]
+Labels: ['Diabetes']
+Scores: [0.040836647152900696]
+Labels: ['Cancer']
+Scores: [0.10664071142673492]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13342846930027008]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17908374965190887]
+Labels: ['Mental Health']
+Scores: [0.5830121636390686]
+Labels: ['Diabetes type 1']
+Scores: [0.037859950214624405]
+Labels: ['Diabetes type 2']
+Scores: [0.04156941920518875]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.218034029006958]
+Labels: ['Diabetes']
+Scores: [0.1412288397550583]
+Labels: ['Cancer']
+Scores: [0.17902138829231262]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19694474339485168]
+Labels: ['Cardiovascular diseases']
+Scores: [0.21033580601215363]
+Labels: ['Mental Health']
+Scores: [0.6381433010101318]
+Labels: ['Diabetes type 1']
+Scores: [0.13883459568023682]
+Labels: ['Diabetes type 2']
+Scores: [0.14597725868225098]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9327627420425415]
+Labels: ['Diabetes']
+Scores: [0.9374141693115234]
+Labels: ['Cancer']
+Scores: [0.9389427304267883]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9386215806007385]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9373437762260437]
+Labels: ['Mental Health']
+Scores: [0.9402785301208496]
+Labels: ['Diabetes type 1']
+Scores: [0.9418428540229797]
+Labels: ['Diabetes type 2']
+Scores: [0.9422858357429504]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05183243006467819]
+Labels: ['Diabetes']
+Scores: [0.02845117263495922]
+Labels: ['Cancer']
+Scores: [0.06998028606176376]
+Labels: ['Chronic respiratory disease']
+Scores: [0.034174174070358276]
+Labels: ['Cardiovascular diseases']
+Scores: [0.060080386698246]
+Labels: ['Mental Health']
+Scores: [0.5731366872787476]
+Labels: ['Diabetes type 1']
+Scores: [0.019056862220168114]
+Labels: ['Diabetes type 2']
+Scores: [0.024192335084080696]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10060595721006393]
+Labels: ['Diabetes']
+Scores: [0.03490253910422325]
+Labels: ['Cancer']
+Scores: [0.08482493460178375]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10616276413202286]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11868420988321304]
+Labels: ['Mental Health']
+Scores: [0.11942854523658752]
+Labels: ['Diabetes type 1']
+Scores: [0.02679273672401905]
+Labels: ['Diabetes type 2']
+Scores: [0.03229127451777458]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14438651502132416]
+Labels: ['Diabetes']
+Scores: [0.1026020497083664]
+Labels: ['Cancer']
+Scores: [0.15440624952316284]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11406854540109634]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12245570868253708]
+Labels: ['Mental Health']
+Scores: [0.13588862121105194]
+Labels: ['Diabetes type 1']
+Scores: [0.0822773277759552]
+Labels: ['Diabetes type 2']
+Scores: [0.08056698739528656]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07792530208826065]
+Labels: ['Diabetes']
+Scores: [0.044457655400037766]
+Labels: ['Cancer']
+Scores: [0.07334759086370468]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06698333472013474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09039414674043655]
+Labels: ['Mental Health']
+Scores: [0.675384521484375]
+Labels: ['Diabetes type 1']
+Scores: [0.04684045910835266]
+Labels: ['Diabetes type 2']
+Scores: [0.05035838112235069]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08567433059215546]
+Labels: ['Diabetes']
+Scores: [0.07356319576501846]
+Labels: ['Cancer']
+Scores: [0.10954486578702927]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16517774760723114]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11367493867874146]
+Labels: ['Mental Health']
+Scores: [0.6380063891410828]
+Labels: ['Diabetes type 1']
+Scores: [0.08543063700199127]
+Labels: ['Diabetes type 2']
+Scores: [0.08644665777683258]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.054962366819381714]
+Labels: ['Diabetes']
+Scores: [0.09192721545696259]
+Labels: ['Cancer']
+Scores: [0.10677482187747955]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10393373668193817]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07597248256206512]
+Labels: ['Mental Health']
+Scores: [0.2978946268558502]
+Labels: ['Diabetes type 1']
+Scores: [0.08501338958740234]
+Labels: ['Diabetes type 2']
+Scores: [0.09283925592899323]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7067328691482544]
+Labels: ['Diabetes']
+Scores: [0.6607401967048645]
+Labels: ['Cancer']
+Scores: [0.7134659290313721]
+Labels: ['Chronic respiratory disease']
+Scores: [0.70378577709198]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7034347653388977]
+Labels: ['Mental Health']
+Scores: [0.6784783005714417]
+Labels: ['Diabetes type 1']
+Scores: [0.6649794578552246]
+Labels: ['Diabetes type 2']
+Scores: [0.6669431924819946]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[0, 4], [1, 3]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014618284069001675]
+Labels: ['Diabetes']
+Scores: [0.020271046087145805]
+Labels: ['Cancer']
+Scores: [0.02890673279762268]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01406669057905674]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019714564085006714]
+Labels: ['Mental Health']
+Scores: [0.0956355482339859]
+Labels: ['Diabetes type 1']
+Scores: [0.011098569259047508]
+Labels: ['Diabetes type 2']
+Scores: [0.01319075096398592]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013868887908756733]
+Labels: ['Diabetes']
+Scores: [0.8152946829795837]
+Labels: ['Cancer']
+Scores: [0.053937867283821106]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013438073918223381]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20856332778930664]
+Labels: ['Mental Health']
+Scores: [0.043852731585502625]
+Labels: ['Diabetes type 1']
+Scores: [0.8975754380226135]
+Labels: ['Diabetes type 2']
+Scores: [0.6534945964813232]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2020231932401657]
+Labels: ['Diabetes']
+Scores: [0.11291199922561646]
+Labels: ['Cancer']
+Scores: [0.17420808970928192]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15347662568092346]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14049465954303741]
+Labels: ['Mental Health']
+Scores: [0.4363020658493042]
+Labels: ['Diabetes type 1']
+Scores: [0.1103779748082161]
+Labels: ['Diabetes type 2']
+Scores: [0.11497288197278976]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11820891499519348]
+Labels: ['Diabetes']
+Scores: [0.10642050206661224]
+Labels: ['Cancer']
+Scores: [0.1318950653076172]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13598744571208954]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12018011510372162]
+Labels: ['Mental Health']
+Scores: [0.24283908307552338]
+Labels: ['Diabetes type 1']
+Scores: [0.17101681232452393]
+Labels: ['Diabetes type 2']
+Scores: [0.13735829293727875]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6712674498558044]
+Labels: ['Diabetes']
+Scores: [0.5633472204208374]
+Labels: ['Cancer']
+Scores: [0.6501882672309875]
+Labels: ['Chronic respiratory disease']
+Scores: [0.677107572555542]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6308987736701965]
+Labels: ['Mental Health']
+Scores: [0.806684672832489]
+Labels: ['Diabetes type 1']
+Scores: [0.5523862242698669]
+Labels: ['Diabetes type 2']
+Scores: [0.5592353940010071]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.767827570438385]
+Labels: ['Diabetes']
+Scores: [0.741265058517456]
+Labels: ['Cancer']
+Scores: [0.7395792007446289]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7861294746398926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7685466408729553]
+Labels: ['Mental Health']
+Scores: [0.7191013097763062]
+Labels: ['Diabetes type 1']
+Scores: [0.7378212213516235]
+Labels: ['Diabetes type 2']
+Scores: [0.741212785243988]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8185359239578247]
+Labels: ['Diabetes']
+Scores: [0.7914072275161743]
+Labels: ['Cancer']
+Scores: [0.811206042766571]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8030130863189697]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7860716581344604]
+Labels: ['Mental Health']
+Scores: [0.8560755252838135]
+Labels: ['Diabetes type 1']
+Scores: [0.7794580459594727]
+Labels: ['Diabetes type 2']
+Scores: [0.7780207991600037]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011662958189845085]
+Labels: ['Diabetes']
+Scores: [0.007726329378783703]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.007670963183045387]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014941488392651081]
+Labels: ['Mental Health']
+Scores: [0.5025755763053894]
+Labels: ['Diabetes type 1']
+Scores: [0.003408021293580532]
+Labels: ['Diabetes type 2']
+Scores: [0.0032094288617372513]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030980007722973824]
+Labels: ['Diabetes']
+Scores: [0.012345010414719582]
+Labels: ['Cancer']
+Scores: [0.016672691330313683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0054779346100986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.029693603515625]
+Labels: ['Mental Health']
+Scores: [0.6189460754394531]
+Labels: ['Diabetes type 1']
+Scores: [0.010576758533716202]
+Labels: ['Diabetes type 2']
+Scores: [0.009488732554018497]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.056350551545619965]
+Labels: ['Diabetes']
+Scores: [0.11074686050415039]
+Labels: ['Cancer']
+Scores: [0.224744975566864]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17712430655956268]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23796401917934418]
+Labels: ['Mental Health']
+Scores: [0.11516343057155609]
+Labels: ['Diabetes type 1']
+Scores: [0.192473903298378]
+Labels: ['Diabetes type 2']
+Scores: [0.1936834752559662]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10509371757507324]
+Labels: ['Diabetes']
+Scores: [0.04796305298805237]
+Labels: ['Cancer']
+Scores: [0.8223538994789124]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07930080592632294]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09671780467033386]
+Labels: ['Mental Health']
+Scores: [0.9172027111053467]
+Labels: ['Diabetes type 1']
+Scores: [0.06565176695585251]
+Labels: ['Diabetes type 2']
+Scores: [0.05898035317659378]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Mental Health', 'Biomedical Research', 'Delphi Technique', 'Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03968445211648941]
+Labels: ['Diabetes']
+Scores: [0.011581993661820889]
+Labels: ['Cancer']
+Scores: [0.033666372299194336]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025083430111408234]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03979245945811272]
+Labels: ['Mental Health']
+Scores: [0.867644727230072]
+Labels: ['Diabetes type 1']
+Scores: [0.013926480896770954]
+Labels: ['Diabetes type 2']
+Scores: [0.014999651350080967]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726658
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Exercise', 'Self Report', 'Adolescent', 'Students', 'China', 'Child', 'Schools', 'Mental Health', 'Surveys and Questionnaires', 'Health Surveys', 'Sedentary Behavior', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08561138808727264]
+Labels: ['Diabetes']
+Scores: [0.033990323543548584]
+Labels: ['Cancer']
+Scores: [0.06045384332537651]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037126023322343826]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07013601064682007]
+Labels: ['Mental Health']
+Scores: [0.516499936580658]
+Labels: ['Diabetes type 1']
+Scores: [0.021572155877947807]
+Labels: ['Diabetes type 2']
+Scores: [0.02093390002846718]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726069
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Substance-Related Disorders', 'Middle Aged', 'Heart Transplantation', 'Heart-Assist Devices', 'Adult', 'Databases, Factual', 'Incidence', 'Mental Health', 'Quality of Life', 'Aged', 'Mental Disorders', 'Waiting Lists', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4495220184326172]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.5123236179351807]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5093209147453308]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.4093594551086426]
+Labels: ['Diabetes type 2']
+Scores: [0.43179449439048767]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725888
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Pregnancy', 'Adult', 'Cross-Sectional Studies', 'Pregnancy, Unplanned', 'Parents', 'Mental Health', 'Reproductive Techniques, Assisted', 'Young Adult', 'Stress, Psychological', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17911076545715332]
+Labels: ['Diabetes']
+Scores: [0.007039313670247793]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.015770230442285538]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.8638994693756104]
+Labels: ['Diabetes type 1']
+Scores: [0.010020707733929157]
+Labels: ['Diabetes type 2']
+Scores: [0.008241516537964344]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725758
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'Pandemics', 'SARS-CoV-2', 'Japan', 'Male', 'Suicide', 'Female', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12568266689777374]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.07694555073976517]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.39029380679130554]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724226
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Germany', 'Cross-Sectional Studies', 'Mental Health', 'Adult', 'Surveys and Questionnaires', 'Young Adult', 'Stress, Psychological', 'Students', 'Occupational Stress', 'Universities']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.20225511491298676]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724125
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Stress Disorders, Post-Traumatic', 'Survivors', 'Middle Aged', 'Adult', 'Anxiety', 'Risk Factors', 'Depression', 'Prevalence', 'Aged', 'Comorbidity', 'Sex Factors', 'Sleep Initiation and Maintenance Disorders', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.07770419120788574]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724115
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Empathy', 'Global Health', 'Mental Health', 'Existentialism', 'Warfare']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6352085471153259]
+Labels: ['Diabetes']
+Scores: [0.8840150237083435]
+Labels: ['Cancer']
+Scores: [0.765252411365509]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.8809391856193542]
+Labels: ['Diabetes type 1']
+Scores: [0.8727244138717651]
+Labels: ['Diabetes type 2']
+Scores: [0.8624365925788879]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 6], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39724057
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Female', 'Humans', 'Male', 'Young Adult', 'COVID-19', 'Depression', 'East Asian People', 'Mental Health', 'Pandemics', 'Republic of Korea', 'Social Media']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5553285479545593]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.5754625201225281]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722713
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Child, Preschool', 'Cross-Sectional Studies', 'China', 'Screen Time', 'Surveys and Questionnaires', 'Mental Health', 'Parents', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07697354257106781]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.015528651885688305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722022
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Loneliness', 'Adolescent', 'Male', 'Female', 'Cross-Sectional Studies', 'Urban Population', 'Young Adult', 'Adult', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16359682381153107]
+Labels: ['Diabetes']
+Scores: [0.10468190908432007]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.1264205127954483]
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+Labels: ['Mental Health']
+Scores: [0.7292423844337463]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.10889459401369095]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720811
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Mental Health', 'China', 'Middle Aged', 'Adult', 'Emotions', 'Surveys and Questionnaires', 'Aged', 'Adolescent', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0902075245976448]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.055840857326984406]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719817
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Hospitals, General', 'Psychiatry', 'Mental Health Services', 'Japan', 'Psychiatric Department, Hospital', 'Referral and Consultation', 'Mental Disorders', 'Surveys and Questionnaires', 'Mental Health', 'Psychiatrists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0506269596517086]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719755
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Humans', 'Ozone', 'Mental Health', 'Nitrogen Dioxide', 'Male', 'Female', 'Child', 'China', 'Air Pollutants', 'Environmental Exposure', 'Schools', 'Cross-Sectional Studies', 'Air Pollution', 'Students']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1670914739370346]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.005532320123165846]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719653
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Capital', 'Students', 'Social Media', 'Japan', 'Universities', 'Male', 'Female', 'Young Adult', 'Mental Health', 'Adult', 'Loneliness', 'Health Status', 'Personality', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003501696977764368]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0026295464485883713]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716066
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Quality of Life', 'Pakistan', 'Myocardial Infarction', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Health Status', 'Risk Factors', 'Mental Health', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Scores: [0.049315065145492554]
+Labels: ['Diabetes type 2']
+Scores: [0.05065751448273659]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715637
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Biomedical Research', 'Circadian Rhythm', 'Information Dissemination', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6817466020584106]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.6814684271812439]
+Labels: ['Mental Health']
+Scores: [0.7116230726242065]
+Labels: ['Diabetes type 1']
+Scores: [0.6789209246635437]
+Labels: ['Diabetes type 2']
+Scores: [0.6817412376403809]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715235
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Colombia', 'Emigrants and Immigrants', 'Venezuela', 'Female', 'Male', 'United States', 'Child', 'Adult', 'Child Welfare', 'Parents', 'Stress, Psychological', 'Surveys and Questionnaires', 'Adolescent', 'Middle Aged', 'Mental Health', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21213234961032867]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.20917348563671112]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16429336369037628]
+Labels: ['Mental Health']
+Scores: [0.3319549560546875]
+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Ukraine', 'Mental Health Services', 'Health Services Accessibility', 'Pandemics', 'Quality of Health Care', 'SARS-CoV-2', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714844
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Aged', 'England', 'Middle Aged', 'Longitudinal Studies', 'Personal Satisfaction', 'Cohort Studies', 'Depression', 'Mental Health', 'Health Status', 'Social Support', 'Health Behavior', 'Cluster Analysis']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713741
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Substance-Related Disorders', 'Social Stigma', 'Sexism', 'Mental Health', 'Racism', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'China', 'Mental Health', 'Internet Use', 'Middle Aged', 'Residence Characteristics', 'Aged, 80 and over', 'Independent Living', 'Surveys and Questionnaires', 'Internet', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712299
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Mental Health', 'Aged', 'Social Environment', 'Female', 'Male', 'Middle Aged', 'Residence Characteristics', 'Surveys and Questionnaires', 'Neighborhood Characteristics', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 6], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39711409
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Pilots', 'Aerospace Medicine', 'Mental Health', 'United States']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711341
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aerospace Medicine', 'Mental Health', 'Delphi Technique', 'Aviation', 'Research', 'Societies, Medical', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711028
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Refugees', 'Syria', 'Psychological Distress', 'Female', 'Jordan', 'Male', 'Follow-Up Studies', 'Child', 'Single-Blind Method', 'Stress Disorders, Post-Traumatic', 'Depression', 'Stress, Psychological', 'Behavior Therapy', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710807
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Cross-Sectional Studies', 'Female', 'Adult', 'Male', 'Workplace Violence', 'Burnout, Professional', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Nursing Staff, Hospital', 'Taiwan']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Quality of Life', 'Romania', 'Male', 'Female', 'Prospective Studies', 'Tuberculosis, Multidrug-Resistant', 'Middle Aged', 'Adult', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Surveys and Questionnaires', 'Aged', 'Cohort Studies', 'Longitudinal Studies', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710684
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Ontario', 'Pregnancy', 'Retrospective Studies', 'Adult', 'Social Class', 'Pregnancy Complications', 'Anxiety', 'Depression', 'Young Adult', 'Residence Characteristics', 'Mental Health', 'Cohort Studies', 'Educational Status', 'Mental Disorders', 'Income']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710634
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'United Kingdom', 'Adult', 'Cross-Sectional Studies', 'Mental Health', 'Domestic Violence', 'Middle Aged', 'Social Support', 'Resilience, Psychological', 'Pandemics', 'Young Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710627
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Literacy', 'Adolescent', 'Anxiety', 'Depression', 'Mental Health', 'Health Education']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710497
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'China', 'Aged', 'Risk Factors', 'Middle Aged', 'Depression', 'Longitudinal Studies', 'Health Status', 'Mental Health', 'Aged, 80 and over', 'Rural Population', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710338
+Predictions: ['Cancer', 'Mental Health']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Adolescent', 'Young Adult', 'Female', 'Male', 'Internet-Based Intervention', 'Mindfulness', 'Adult', 'Emotional Regulation', 'Quality of Life', 'Mental Health', 'Depression', 'Neoplasms', 'Research Design', 'Adaptation, Psychological', 'Digital Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709458
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Child', 'Humans', 'Adaptation, Psychological', 'Child Behavior', 'Mental Disorders', 'Mental Health', 'Multicenter Studies as Topic', 'Norway', 'Parents', 'Pragmatic Clinical Trials as Topic']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709340
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Mental Health', 'Research Design', 'Outcome Assessment, Health Care', 'Mental Disorders', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709337
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sufentanil', 'Male', 'Cough', 'Female', 'Ketamine', 'Middle Aged', 'Prospective Studies', 'Adult', 'Anesthesia, General', 'Anesthetics, Intravenous', 'Mental Health', 'Double-Blind Method']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709183
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Health Promotion']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709182
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'United States', "Women's Health", 'Racial Groups', 'Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708948
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Asthma', 'Metals, Heavy', 'Male', 'Adult', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Republic of Korea', 'Mental Health', 'Suicidal Ideation', 'Environmental Exposure', 'Air Pollutants', 'Young Adult', 'Depression', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707472
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'General Practitioners', 'Self Care', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Burnout, Professional', 'Surveys and Questionnaires', 'Mental Health', 'Anxiety', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706574
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Pregnancy', 'Perinatal Care', 'Adult']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706486
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Binge Drinking', 'Male', 'Middle Aged', 'Spain', 'Longitudinal Studies', 'Health Behavior', 'Mental Health', 'Health Status', 'Adult']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706485
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Support', 'Male', 'Female', 'Longitudinal Studies', 'Adult', 'Stress, Psychological', 'Middle Aged', 'Depressive Disorder, Major', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Young Adult', 'Aged', 'Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706484
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Ukraine', 'Armed Conflicts', 'Refugees']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39705174
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Humans', 'Male', 'Young Adult', 'Adaptation, Psychological', 'Black or African American', 'HIV Infections', 'Interviews as Topic', 'Mental Health', 'Qualitative Research', 'Sexual and Gender Minorities', 'Social Stigma']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39704003
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Diagnostic and Statistical Manual of Mental Disorders', 'International Classification of Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39703482
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Adolescent', 'Mental Health', 'Reproductive Health', 'Sexual Behavior', 'Sexual Health', 'Menstruation', 'Health Knowledge, Attitudes, Practice']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2497914582490921]
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703180
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Qualitative Research', 'Male', 'Female', 'Pharmacists', 'Adult', 'England', 'Middle Aged', 'Focus Groups', 'Mental Health', 'Community Pharmacy Services', 'Depression', 'Interviews as Topic', 'Professional Role', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Lebanon', 'Primary Health Care', 'Social Stigma', 'Qualitative Research', 'Mental Disorders', 'Male', 'Female', 'Attitude of Health Personnel', 'Health Personnel', 'Adult', 'Interviews as Topic', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39701588
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'COVID-19', 'Mental Health', 'Female', 'Male', 'Mental Health Services', 'United States', 'Child', 'Emotions', 'Telemedicine', 'Social Skills', 'School Mental Health Services']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Machine Learning', 'Mental Health', 'Adult', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7398914694786072]
+Labels: ['Diabetes']
+Scores: [0.7069743871688843]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.7179717421531677]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39700155
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Mental Health', 'United Kingdom', 'Adolescent', 'Young Adult', 'Loneliness', 'Adult', 'Sex Factors', 'Pandemics', 'SARS-CoV-2', 'Longitudinal Studies', 'Aged', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.02698015421628952]
+Labels: ['Diabetes type 2']
+Scores: [0.02780854143202305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699982
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Italy', 'Prospective Studies', 'COVID-19', 'Internship and Residency', 'Male', 'Female', 'Adult', 'Depression', 'Anxiety', 'Mental Health', 'Stress Disorders, Post-Traumatic', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699544
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Chikungunya Fever', 'Arthralgia', 'Middle Aged', 'Adult', 'Chronic Disease', 'Mental Health', 'Cross-Sectional Studies', 'Depression', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699441
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Brazil', 'Transgender Persons', 'Health Services Accessibility', 'Male', 'Female', 'Primary Health Care', 'National Health Programs', 'Interviews as Topic', 'Health Personnel', 'Health Services for Transgender Persons', 'Qualitative Research', 'Adult', 'Health Policy', 'Mental Health', 'Transsexualism', 'Young Adult', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699366
+Predictions: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697298
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Female', 'Humans', 'Male', 'China', 'COVID-19', 'East Asian People', 'Mental Disorders', 'Mental Health', 'Risk Factors', 'Students', 'Suicidal Ideation', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697006
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Services Accessibility', 'Health Literacy', 'Mexico', 'Female', 'Male', 'Adolescent', 'Child', 'Adult', 'Surveys and Questionnaires', 'Parents', 'Mental Health', 'Middle Aged', 'Health Behavior']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696336
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Intimate Partner Violence', 'Female', 'Sex Offenses', 'Canada', 'Male', 'Transgender Persons', 'Surveys and Questionnaires', 'Crime Victims', 'Research', 'Stakeholder Participation', 'Mental Health', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696264
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Ownership', 'Housing', 'Behavioral Risk Factor Surveillance System', 'Aged', 'United States', 'Mental Health', 'Prevalence', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
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+---------------------------------
+---------------------------------
+PMID: 39696245
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sudan', 'Cross-Sectional Studies', 'Child', 'Female', 'Adolescent', 'Male', 'Refugees', 'Mental Health', 'Surveys and Questionnaires', 'Stress Disorders, Post-Traumatic']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
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+---------------------------------
+---------------------------------
+PMID: 39696093
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Students', 'Universities', 'United Kingdom', 'Young Adult', 'Exercise', 'Cohort Studies', 'Life Style', 'Ethnicity', 'COVID-19', 'Health Behavior', 'Sex Factors', 'Adult', 'Adolescent', 'Body Mass Index', 'Diet', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
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+---------------------------------
+---------------------------------
+PMID: 39695709
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Patient Selection', 'Mental Disorders', 'Mental Health', 'Randomized Controlled Trials as Topic']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695633
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Adverse Childhood Experiences', 'Female', 'England', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Criminal Law', 'Health Status', 'Surveys and Questionnaires', 'Aged', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695572
+Predictions: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695547
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Military Personnel', 'Female', 'Male', 'Cross-Sectional Studies', 'China', 'Adult', 'Stress Disorders, Post-Traumatic', 'COVID-19', 'Sleep Initiation and Maintenance Disorders', 'Prevalence', 'Young Adult', 'Depression', 'Anxiety', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Adolescent', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695533
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Belgium', 'Male', 'Female', 'Multimorbidity', 'Middle Aged', 'Adult', 'Aged', 'Health Surveys', 'Mental Disorders', 'Quality of Life', 'Young Adult', 'Mental Health', 'Adolescent', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695518
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Military Personnel', 'Male', 'Social Support', 'Adult', 'Personal Satisfaction', 'Female', 'Mental Health', 'Depression', 'Longitudinal Studies', 'Young Adult', 'Surveys and Questionnaires', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695274
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Female', 'Male', 'Young Adult', 'Depression', 'Universities', 'China', 'Surveys and Questionnaires', 'Mental Health', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
+Scores: [0.9106630086898804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9224867820739746]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9090608358383179]
+Labels: ['Mental Health']
+Scores: [0.9125438332557678]
+Labels: ['Diabetes type 1']
+Scores: [0.9116860628128052]
+Labels: ['Diabetes type 2']
+Scores: [0.9116107225418091]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39693620
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mobile Applications', 'Adult', 'Mental Health', 'Health Behavior', 'Life Style', 'Exercise', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21861010789871216]
+Labels: ['Diabetes']
+Scores: [0.1584690362215042]
+Labels: ['Cancer']
+Scores: [0.26995518803596497]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13431884348392487]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16268792748451233]
+Labels: ['Mental Health']
+Scores: [0.7052021622657776]
+Labels: ['Diabetes type 1']
+Scores: [0.12890467047691345]
+Labels: ['Diabetes type 2']
+Scores: [0.14529681205749512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693599
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Adult', 'Middle Aged', 'Mental Health', 'Mental Disorders', 'Aged', 'Schizophrenia', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4745265543460846]
+Labels: ['Diabetes']
+Scores: [0.4865591526031494]
+Labels: ['Cancer']
+Scores: [0.5045295357704163]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5370733141899109]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5462185144424438]
+Labels: ['Mental Health']
+Scores: [0.6085799336433411]
+Labels: ['Diabetes type 1']
+Scores: [0.5304808616638184]
+Labels: ['Diabetes type 2']
+Scores: [0.5301535725593567]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691047
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Burnout, Professional', 'Mental Health', 'Organizational Culture', 'Leadership', 'Health Personnel', 'Job Satisfaction', 'Ontario']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12505915760993958]
+Labels: ['Diabetes']
+Scores: [0.06888516247272491]
+Labels: ['Cancer']
+Scores: [0.11934690922498703]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09918366372585297]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14509551227092743]
+Labels: ['Mental Health']
+Scores: [0.7891247868537903]
+Labels: ['Diabetes type 1']
+Scores: [0.047464579343795776]
+Labels: ['Diabetes type 2']
+Scores: [0.05429388955235481]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691046
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Canada', 'Mental Health', 'Occupational Health', 'Workplace', 'Health Personnel', 'Organizational Culture', 'Surveys and Questionnaires', 'Patient Safety', 'Safety Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05147826671600342]
+Labels: ['Diabetes']
+Scores: [0.06057564914226532]
+Labels: ['Cancer']
+Scores: [0.09852848201990128]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0742170587182045]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10063328593969345]
+Labels: ['Mental Health']
+Scores: [0.05983651429414749]
+Labels: ['Diabetes type 1']
+Scores: [0.03318306431174278]
+Labels: ['Diabetes type 2']
+Scores: [0.04003174230456352]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691045
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Health Personnel', 'Mental Health', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003756806021556258]
+Labels: ['Diabetes']
+Scores: [0.006876343861222267]
+Labels: ['Cancer']
+Scores: [0.013879654929041862]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026469717267900705]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006666150409728289]
+Labels: ['Mental Health']
+Scores: [0.9591384530067444]
+Labels: ['Diabetes type 1']
+Scores: [0.002416575327515602]
+Labels: ['Diabetes type 2']
+Scores: [0.0027268065605312586]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690437
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'South Australia', 'Housing', 'Male', 'Female', 'Adult', 'Middle Aged', 'Food Security', 'Health Status', 'Mental Health', 'Health Surveys', 'Socioeconomic Factors', 'Adolescent', 'Food Insecurity', 'Aged', 'Chronic Disease', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09698182344436646]
+Labels: ['Diabetes']
+Scores: [0.045713551342487335]
+Labels: ['Cancer']
+Scores: [0.06837839633226395]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06532774865627289]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0991482138633728]
+Labels: ['Mental Health']
+Scores: [0.07755561172962189]
+Labels: ['Diabetes type 1']
+Scores: [0.04138506203889847]
+Labels: ['Diabetes type 2']
+Scores: [0.04302055761218071]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690123
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Adolescent Development', 'Young Adult', 'Adult', 'Child', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09226939082145691]
+Labels: ['Diabetes']
+Scores: [0.1949337273836136]
+Labels: ['Cancer']
+Scores: [0.14494870603084564]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1040586307644844]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10395943373441696]
+Labels: ['Mental Health']
+Scores: [0.6497214436531067]
+Labels: ['Diabetes type 1']
+Scores: [0.24607568979263306]
+Labels: ['Diabetes type 2']
+Scores: [0.2633259892463684]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mexico', 'Adolescent', 'Male', 'Female', 'Racism', 'Mental Disorders', 'Qualitative Research', 'Mental Health', 'Mental Health Services', 'Young Adult', 'Interviews as Topic', 'Health Services Accessibility', 'Urban Population', 'Urban Health', 'Indigenous Peoples', 'Patient Acceptance of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29256880283355713]
+Labels: ['Diabetes']
+Scores: [0.3707750141620636]
+Labels: ['Cancer']
+Scores: [0.2558880150318146]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2900402247905731]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2738912105560303]
+Labels: ['Mental Health']
+Scores: [0.7302063703536987]
+Labels: ['Diabetes type 1']
+Scores: [0.4050791263580322]
+Labels: ['Diabetes type 2']
+Scores: [0.4010089337825775]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009460605680942535]
+Labels: ['Diabetes']
+Scores: [0.5527294874191284]
+Labels: ['Cancer']
+Scores: [0.012070884928107262]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010913354344666004]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04207710921764374]
+Labels: ['Mental Health']
+Scores: [0.018023574724793434]
+Labels: ['Diabetes type 1']
+Scores: [0.6656998991966248]
+Labels: ['Diabetes type 2']
+Scores: [0.21521389484405518]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.31761959195137024]
+Labels: ['Diabetes']
+Scores: [0.36875027418136597]
+Labels: ['Cancer']
+Scores: [0.30546626448631287]
+Labels: ['Chronic respiratory disease']
+Scores: [0.34007006883621216]
+Labels: ['Cardiovascular diseases']
+Scores: [0.34593093395233154]
+Labels: ['Mental Health']
+Scores: [0.33297795057296753]
+Labels: ['Diabetes type 1']
+Scores: [0.3973424434661865]
+Labels: ['Diabetes type 2']
+Scores: [0.3917863070964813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18609477579593658]
+Labels: ['Diabetes']
+Scores: [0.8024916648864746]
+Labels: ['Cancer']
+Scores: [0.15238822996616364]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028552046045660973]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20747508108615875]
+Labels: ['Mental Health']
+Scores: [0.06302332878112793]
+Labels: ['Diabetes type 1']
+Scores: [0.8713488578796387]
+Labels: ['Diabetes type 2']
+Scores: [0.7481215000152588]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08746789395809174]
+Labels: ['Diabetes']
+Scores: [0.3437007665634155]
+Labels: ['Cancer']
+Scores: [0.10351797938346863]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08974138647317886]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11983668804168701]
+Labels: ['Mental Health']
+Scores: [0.045495208352804184]
+Labels: ['Diabetes type 1']
+Scores: [0.44410189986228943]
+Labels: ['Diabetes type 2']
+Scores: [0.465731143951416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5719676613807678]
+Labels: ['Diabetes']
+Scores: [0.5427123308181763]
+Labels: ['Cancer']
+Scores: [0.5026549696922302]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4932714104652405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4969688057899475]
+Labels: ['Mental Health']
+Scores: [0.49791863560676575]
+Labels: ['Diabetes type 1']
+Scores: [0.5400899052619934]
+Labels: ['Diabetes type 2']
+Scores: [0.5351431369781494]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733989
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Hypoglycemia', 'Male', 'Adult', 'Female', 'Blood Glucose', 'Hyperglycemia', 'Exercise', 'Child', 'Young Adult', 'Cohort Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Time Factors', 'Insulin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12936730682849884]
+Labels: ['Diabetes']
+Scores: [0.6702877283096313]
+Labels: ['Cancer']
+Scores: [0.07531694322824478]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04326183721423149]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2037050575017929]
+Labels: ['Mental Health']
+Scores: [0.09037940204143524]
+Labels: ['Diabetes type 1']
+Scores: [0.7442131638526917]
+Labels: ['Diabetes type 2']
+Scores: [0.2877713441848755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06450863182544708]
+Labels: ['Diabetes']
+Scores: [0.2801234722137451]
+Labels: ['Cancer']
+Scores: [0.11511275172233582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11150963604450226]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14655113220214844]
+Labels: ['Mental Health']
+Scores: [0.06504808366298676]
+Labels: ['Diabetes type 1']
+Scores: [0.28427550196647644]
+Labels: ['Diabetes type 2']
+Scores: [0.2613885998725891]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5059778690338135]
+Labels: ['Diabetes']
+Scores: [0.5143489241600037]
+Labels: ['Cancer']
+Scores: [0.49584585428237915]
+Labels: ['Chronic respiratory disease']
+Scores: [0.48796772956848145]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49023503065109253]
+Labels: ['Mental Health']
+Scores: [0.49222704768180847]
+Labels: ['Diabetes type 1']
+Scores: [0.5095236301422119]
+Labels: ['Diabetes type 2']
+Scores: [0.5080766677856445]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013868887908756733]
+Labels: ['Diabetes']
+Scores: [0.8152946829795837]
+Labels: ['Cancer']
+Scores: [0.053937867283821106]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013438073918223381]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20856332778930664]
+Labels: ['Mental Health']
+Scores: [0.043852731585502625]
+Labels: ['Diabetes type 1']
+Scores: [0.8975754380226135]
+Labels: ['Diabetes type 2']
+Scores: [0.6534945964813232]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12769091129302979]
+Labels: ['Diabetes']
+Scores: [0.555677592754364]
+Labels: ['Cancer']
+Scores: [0.10547437518835068]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04281942546367645]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07722587883472443]
+Labels: ['Mental Health']
+Scores: [0.1285737007856369]
+Labels: ['Diabetes type 1']
+Scores: [0.6743621230125427]
+Labels: ['Diabetes type 2']
+Scores: [0.48217999935150146]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16385534405708313]
+Labels: ['Diabetes']
+Scores: [0.505340039730072]
+Labels: ['Cancer']
+Scores: [0.18840476870536804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2726369798183441]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30748990178108215]
+Labels: ['Mental Health']
+Scores: [0.13786713778972626]
+Labels: ['Diabetes type 1']
+Scores: [0.569234311580658]
+Labels: ['Diabetes type 2']
+Scores: [0.5091304779052734]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13130545616149902]
+Labels: ['Diabetes']
+Scores: [0.0188925638794899]
+Labels: ['Cancer']
+Scores: [0.046178244054317474]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024659767746925354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.046913180500268936]
+Labels: ['Mental Health']
+Scores: [0.04501906409859657]
+Labels: ['Diabetes type 1']
+Scores: [0.04032996669411659]
+Labels: ['Diabetes type 2']
+Scores: [0.025738943368196487]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3185480535030365]
+Labels: ['Diabetes']
+Scores: [0.6161645650863647]
+Labels: ['Cancer']
+Scores: [0.502403974533081]
+Labels: ['Chronic respiratory disease']
+Scores: [0.36450815200805664]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5412951707839966]
+Labels: ['Mental Health']
+Scores: [0.35238346457481384]
+Labels: ['Diabetes type 1']
+Scores: [0.6440908312797546]
+Labels: ['Diabetes type 2']
+Scores: [0.6103777289390564]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08099855482578278]
+Labels: ['Diabetes']
+Scores: [0.868346095085144]
+Labels: ['Cancer']
+Scores: [0.12003651261329651]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029500577598810196]
+Labels: ['Cardiovascular diseases']
+Scores: [0.887230396270752]
+Labels: ['Mental Health']
+Scores: [0.07171891629695892]
+Labels: ['Diabetes type 1']
+Scores: [0.9085214138031006]
+Labels: ['Diabetes type 2']
+Scores: [0.7131490707397461]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19738884270191193]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.17333415150642395]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2203821986913681]
+Labels: ['Mental Health']
+Scores: [0.07554478943347931]
+Labels: ['Diabetes type 1']
+Scores: [0.5581377148628235]
+Labels: ['Diabetes type 2']
+Scores: [0.4700176417827606]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30519774556159973]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.3025423288345337]
+Labels: ['Cardiovascular diseases']
+Scores: [0.28737229108810425]
+Labels: ['Mental Health']
+Scores: [0.30306851863861084]
+Labels: ['Diabetes type 1']
+Scores: [0.3317199647426605]
+Labels: ['Diabetes type 2']
+Scores: [0.3181857168674469]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.395805299282074]
+Labels: ['Diabetes']
+Scores: [0.4001869857311249]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4247075617313385]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3742767870426178]
+Labels: ['Mental Health']
+Scores: [0.37858447432518005]
+Labels: ['Diabetes type 1']
+Scores: [0.40603405237197876]
+Labels: ['Diabetes type 2']
+Scores: [0.4029250741004944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10271583497524261]
+Labels: ['Diabetes']
+Scores: [0.9028019905090332]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.01577291451394558]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06080203130841255]
+Labels: ['Mental Health']
+Scores: [0.055235736072063446]
+Labels: ['Diabetes type 1']
+Scores: [0.6539661884307861]
+Labels: ['Diabetes type 2']
+Scores: [0.48390817642211914]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033714406192302704]
+Labels: ['Diabetes']
+Scores: [0.7480111122131348]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.018048154190182686]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06166635826230049]
+Labels: ['Mental Health']
+Scores: [0.031758591532707214]
+Labels: ['Diabetes type 1']
+Scores: [0.6200462579727173]
+Labels: ['Diabetes type 2']
+Scores: [0.5180521011352539]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3589708209037781]
+Labels: ['Diabetes']
+Scores: [0.4216711223125458]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.40791577100753784]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4176478683948517]
+Labels: ['Mental Health']
+Scores: [0.37825337052345276]
+Labels: ['Diabetes type 1']
+Scores: [0.4329542815685272]
+Labels: ['Diabetes type 2']
+Scores: [0.42611560225486755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3500828146934509]
+Labels: ['Diabetes']
+Scores: [0.8395581841468811]
+Labels: ['Cancer']
+Scores: [0.32451045513153076]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23980405926704407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4458187520503998]
+Labels: ['Mental Health']
+Scores: [0.10130532830953598]
+Labels: ['Diabetes type 1']
+Scores: [0.8741204142570496]
+Labels: ['Diabetes type 2']
+Scores: [0.7226840853691101]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00922106672078371]
+Labels: ['Diabetes']
+Scores: [0.37289321422576904]
+Labels: ['Cancer']
+Scores: [0.10440274327993393]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0067810784094035625]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06501928716897964]
+Labels: ['Mental Health']
+Scores: [0.033412571996450424]
+Labels: ['Diabetes type 1']
+Scores: [0.404796838760376]
+Labels: ['Diabetes type 2']
+Scores: [0.3246441185474396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715178
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Telemedicine', 'Child', 'Quality of Life', 'Rural Population', 'Child, Preschool', 'Parents', 'Mentoring', 'Occupational Therapy', 'Double-Blind Method', 'Pilot Projects', 'Glycated Hemoglobin', 'Self Efficacy', 'Adult', 'Parenting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15323978662490845]
+Labels: ['Diabetes']
+Scores: [0.22611285746097565]
+Labels: ['Cancer']
+Scores: [0.1831730753183365]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1873733103275299]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19475392997264862]
+Labels: ['Mental Health']
+Scores: [0.1466556042432785]
+Labels: ['Diabetes type 1']
+Scores: [0.24576793611049652]
+Labels: ['Diabetes type 2']
+Scores: [0.24105757474899292]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714936
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Aged', 'Male', 'Insulin Infusion Systems', 'Insulin', 'Cross-Over Studies', 'Aged, 80 and over', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Glycated Hemoglobin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17754341661930084]
+Labels: ['Diabetes']
+Scores: [0.7932583689689636]
+Labels: ['Cancer']
+Scores: [0.07243385165929794]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07839267700910568]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3790222108364105]
+Labels: ['Mental Health']
+Scores: [0.10822746157646179]
+Labels: ['Diabetes type 1']
+Scores: [0.8771052360534668]
+Labels: ['Diabetes type 2']
+Scores: [0.7152701020240784]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710861
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Cross-Sectional Studies', 'Child', 'Lipase', 'India', 'Amylases', 'Biomarkers', 'Young Adult', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Prognosis', 'Adult', 'Exocrine Pancreatic Insufficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16248437762260437]
+Labels: ['Diabetes']
+Scores: [0.8094776272773743]
+Labels: ['Cancer']
+Scores: [0.180768221616745]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14320723712444305]
+Labels: ['Cardiovascular diseases']
+Scores: [0.36850395798683167]
+Labels: ['Mental Health']
+Scores: [0.09674060344696045]
+Labels: ['Diabetes type 1']
+Scores: [0.8578989505767822]
+Labels: ['Diabetes type 2']
+Scores: [0.5666515231132507]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7462502121925354]
+Labels: ['Diabetes']
+Scores: [0.7839880585670471]
+Labels: ['Cancer']
+Scores: [0.7685860991477966]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7373509407043457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.787067174911499]
+Labels: ['Mental Health']
+Scores: [0.7457783818244934]
+Labels: ['Diabetes type 1']
+Scores: [0.7896081209182739]
+Labels: ['Diabetes type 2']
+Scores: [0.7777488231658936]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39708266
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats', 'Muscle, Skeletal', 'Drugs, Chinese Herbal', 'Insulin-Secreting Cells', 'Male', 'Adipose Tissue', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07363621890544891]
+Labels: ['Diabetes']
+Scores: [0.9641762375831604]
+Labels: ['Cancer']
+Scores: [0.755246102809906]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09001217782497406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23648035526275635]
+Labels: ['Mental Health']
+Scores: [0.16522781550884247]
+Labels: ['Diabetes type 1']
+Scores: [0.7578647136688232]
+Labels: ['Diabetes type 2']
+Scores: [0.4533834159374237]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39707866
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Pilot Projects', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Middle Aged', 'Cognitive Dysfunction', 'Adult', 'Early Diagnosis', 'Aged', 'Retina', 'Visual Field Tests', 'Diabetic Retinopathy', 'Fixation, Ocular', 'Neuropsychological Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14377358555793762]
+Labels: ['Diabetes']
+Scores: [0.7653566598892212]
+Labels: ['Cancer']
+Scores: [0.2049587517976761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04592115059494972]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14958207309246063]
+Labels: ['Mental Health']
+Scores: [0.0475400947034359]
+Labels: ['Diabetes type 1']
+Scores: [0.8154841065406799]
+Labels: ['Diabetes type 2']
+Scores: [0.5816386342048645]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707182
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Female', 'Child', 'Metabolomics', 'Adolescent', 'Metabolome', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Biomarkers', 'Metabolic Networks and Pathways', 'Machine Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06453768908977509]
+Labels: ['Diabetes']
+Scores: [0.9374223947525024]
+Labels: ['Cancer']
+Scores: [0.7436789870262146]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04157015681266785]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11520534008741379]
+Labels: ['Mental Health']
+Scores: [0.051698699593544006]
+Labels: ['Diabetes type 1']
+Scores: [0.7592107653617859]
+Labels: ['Diabetes type 2']
+Scores: [0.5704416036605835]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 1']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706675
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Retrospective Studies', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1', 'Blood Glucose', 'Hypoglycemic Agents', 'Risk Factors', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3177773952484131]
+Labels: ['Diabetes']
+Scores: [0.6308186054229736]
+Labels: ['Cancer']
+Scores: [0.5224628448486328]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09150515496730804]
+Labels: ['Cardiovascular diseases']
+Scores: [0.39151430130004883]
+Labels: ['Mental Health']
+Scores: [0.1064031794667244]
+Labels: ['Diabetes type 1']
+Scores: [0.6614921689033508]
+Labels: ['Diabetes type 2']
+Scores: [0.7790040373802185]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706641
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats, Wistar', 'Diabetic Neuropathies', 'NF-kappa B', 'Male', 'Diabetes Mellitus, Experimental', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 1', 'Streptozocin', 'Gabapentin', 'Glycation End Products, Advanced', 'Signal Transduction', 'Rats', 'Oxidative Stress', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3333073556423187]
+Labels: ['Diabetes']
+Scores: [0.3643438220024109]
+Labels: ['Cancer']
+Scores: [0.3220546245574951]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3402844965457916]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3326095640659332]
+Labels: ['Mental Health']
+Scores: [0.3298377990722656]
+Labels: ['Diabetes type 1']
+Scores: [0.3672749400138855]
+Labels: ['Diabetes type 2']
+Scores: [0.36948835849761963]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706517
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Magnetic Resonance Imaging', 'Adult', 'Neuralgia', 'Diabetic Neuropathies', 'Middle Aged', 'Brain', 'Cerebral Cortex']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7809726595878601]
+Labels: ['Diabetes']
+Scores: [0.8036531805992126]
+Labels: ['Cancer']
+Scores: [0.7644773125648499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7615323662757874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7521398663520813]
+Labels: ['Mental Health']
+Scores: [0.7710678577423096]
+Labels: ['Diabetes type 1']
+Scores: [0.80874103307724]
+Labels: ['Diabetes type 2']
+Scores: [0.7953079342842102]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39704278
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cytokines', 'Diabetes Mellitus, Type 1', 'Child', 'Chemokines', 'Adolescent', 'Sex Factors', 'Disease Progression', 'Child, Preschool', 'Intercellular Signaling Peptides and Proteins', 'Pilot Projects', 'Biomarkers', 'Sex Characteristics', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6599321365356445]
+Labels: ['Diabetes']
+Scores: [0.6806517243385315]
+Labels: ['Cancer']
+Scores: [0.650470495223999]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6435162425041199]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6559247374534607]
+Labels: ['Mental Health']
+Scores: [0.6530439257621765]
+Labels: ['Diabetes type 1']
+Scores: [0.6999744772911072]
+Labels: ['Diabetes type 2']
+Scores: [0.6855329275131226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39704171
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 1', 'Mice', 'Interleukin-2', 'Disease Models, Animal', 'Interleukin-2 Receptor alpha Subunit', 'Interleukin-1 Receptor-Like 1 Protein', 'Interleukin-33', 'Mice, Inbred NOD', 'Female', 'Signal Transduction', 'CD8-Positive T-Lymphocytes', 'Islets of Langerhans', 'Th1 Cells', 'Interleukin-10', 'Autoimmunity', 'Recombinant Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7490787506103516]
+Labels: ['Diabetes']
+Scores: [0.7333290576934814]
+Labels: ['Cancer']
+Scores: [0.7277562022209167]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7304906845092773]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7304840087890625]
+Labels: ['Mental Health']
+Scores: [0.7039201855659485]
+Labels: ['Diabetes type 1']
+Scores: [0.748974621295929]
+Labels: ['Diabetes type 2']
+Scores: [0.7465043663978577]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39704022
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Bioengineering', 'Animals', 'Genomics', 'Insulin-Secreting Cells', 'Proteomics', 'Insulin', 'Islets of Langerhans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6941826343536377]
+Labels: ['Diabetes']
+Scores: [0.8957221508026123]
+Labels: ['Cancer']
+Scores: [0.744533121585846]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7843546271324158]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8488630652427673]
+Labels: ['Mental Health']
+Scores: [0.6006468534469604]
+Labels: ['Diabetes type 1']
+Scores: [0.8989729285240173]
+Labels: ['Diabetes type 2']
+Scores: [0.8981188535690308]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39703896
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Receptors, Calcitriol', 'South Africa', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Black People', 'Adult', 'Case-Control Studies', 'Vitamin D', 'Genotype', 'Young Adult', 'Polymorphism, Restriction Fragment Length', 'Polymorphism, Single Nucleotide', 'Genetic Predisposition to Disease', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36118757724761963]
+Labels: ['Diabetes']
+Scores: [0.39604753255844116]
+Labels: ['Cancer']
+Scores: [0.35716381669044495]
+Labels: ['Chronic respiratory disease']
+Scores: [0.38743630051612854]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3507736325263977]
+Labels: ['Mental Health']
+Scores: [0.3625895082950592]
+Labels: ['Diabetes type 1']
+Scores: [0.4045599102973938]
+Labels: ['Diabetes type 2']
+Scores: [0.40065470337867737]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703609
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'SARS-CoV-2', 'Acute Kidney Injury', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6565054655075073]
+Labels: ['Diabetes']
+Scores: [0.9137357473373413]
+Labels: ['Cancer']
+Scores: [0.9016442894935608]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8970421552658081]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8612525463104248]
+Labels: ['Mental Health']
+Scores: [0.8154357075691223]
+Labels: ['Diabetes type 1']
+Scores: [0.9205875992774963]
+Labels: ['Diabetes type 2']
+Scores: [0.9206499457359314]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 5], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39702941
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Dendritic Cells', 'Humans', 'Macrophages', 'Immune Tolerance', 'Receptors, Cytoplasmic and Nuclear', 'Mitochondria', 'Male', 'Female', 'Phenotype']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033698905259370804]
+Labels: ['Diabetes']
+Scores: [0.6368736624717712]
+Labels: ['Cancer']
+Scores: [0.07590806484222412]
+Labels: ['Chronic respiratory disease']
+Scores: [0.050764668732881546]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1349651962518692]
+Labels: ['Mental Health']
+Scores: [0.09735897928476334]
+Labels: ['Diabetes type 1']
+Scores: [0.7283381819725037]
+Labels: ['Diabetes type 2']
+Scores: [0.5340571999549866]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39701114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diabetic Ketoacidosis', 'Adolescent', 'Female', 'Male', 'Child', 'Hypoglycemia', 'Young Adult', 'Insulin', 'Hypoglycemic Agents', 'Insulin Infusion Systems', 'Child, Preschool', 'Blood Glucose', 'Prospective Studies', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12020879983901978]
+Labels: ['Diabetes']
+Scores: [0.8299622535705566]
+Labels: ['Cancer']
+Scores: [0.2805539071559906]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0901506319642067]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3766944110393524]
+Labels: ['Mental Health']
+Scores: [0.12826992571353912]
+Labels: ['Diabetes type 1']
+Scores: [0.9289074540138245]
+Labels: ['Diabetes type 2']
+Scores: [0.522401750087738]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699995
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Adult', 'Female', 'Male', 'Insulin', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Hypoglycemic Agents', 'Retrospective Studies', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15752936899662018]
+Labels: ['Diabetes']
+Scores: [0.29066750407218933]
+Labels: ['Cancer']
+Scores: [0.0953771099448204]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05861489474773407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2363673597574234]
+Labels: ['Mental Health']
+Scores: [0.09344864636659622]
+Labels: ['Diabetes type 1']
+Scores: [0.3261769711971283]
+Labels: ['Diabetes type 2']
+Scores: [0.24338410794734955]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697323
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'MicroRNAs', 'Insulin-Secreting Cells', 'Enterovirus B, Human', 'Coxsackievirus Infections', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Insulin', 'Trophoblasts']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.748682975769043]
+Labels: ['Diabetes']
+Scores: [0.7952768206596375]
+Labels: ['Cancer']
+Scores: [0.769591212272644]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7701253890991211]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7693433165550232]
+Labels: ['Mental Health']
+Scores: [0.7578582167625427]
+Labels: ['Diabetes type 1']
+Scores: [0.7966296672821045]
+Labels: ['Diabetes type 2']
+Scores: [0.7903634905815125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39696373
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1392480880022049]
+Labels: ['Diabetes']
+Scores: [0.16895891726016998]
+Labels: ['Cancer']
+Scores: [0.10698099434375763]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10149035602807999]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14347194135189056]
+Labels: ['Mental Health']
+Scores: [0.11348913609981537]
+Labels: ['Diabetes type 1']
+Scores: [0.2038937211036682]
+Labels: ['Diabetes type 2']
+Scores: [0.18579460680484772]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696094
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Sirolimus', 'Genetic Diseases, X-Linked', 'Diarrhea', 'Immunosuppressive Agents', 'Forkhead Transcription Factors', 'Immune System Diseases', 'Infant', 'Mutation', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.043659161776304245]
+Labels: ['Diabetes']
+Scores: [0.009851899929344654]
+Labels: ['Cancer']
+Scores: [0.03740459680557251]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06594441831111908]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11321406066417694]
+Labels: ['Mental Health']
+Scores: [0.046317651867866516]
+Labels: ['Diabetes type 1']
+Scores: [0.017646439373493195]
+Labels: ['Diabetes type 2']
+Scores: [0.01873474381864071]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39692076
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Histamine', 'Female', 'Adult', 'Hot Temperature', 'Middle Aged', 'Diabetic Neuropathies', 'Axons', 'Neural Conduction', 'Reflex', 'Sural Nerve', 'Young Adult', 'ROC Curve', 'Neurologic Examination']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1765337884426117]
+Labels: ['Diabetes']
+Scores: [0.25052914023399353]
+Labels: ['Cancer']
+Scores: [0.08443035185337067]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06422460079193115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11319687217473984]
+Labels: ['Mental Health']
+Scores: [0.06062812730669975]
+Labels: ['Diabetes type 1']
+Scores: [0.2661948502063751]
+Labels: ['Diabetes type 2']
+Scores: [0.20809325575828552]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691822
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'New Zealand', 'Cross-Sectional Studies', 'Adolescent', 'Child', 'Diabetes Mellitus, Type 1', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Prevalence', 'Child, Preschool', 'Adult', 'Glycated Hemoglobin', 'Primary Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0134352408349514]
+Labels: ['Diabetes']
+Scores: [0.7569524049758911]
+Labels: ['Cancer']
+Scores: [0.026248691603541374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026753756683319807]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03711595758795738]
+Labels: ['Mental Health']
+Scores: [0.023982012644410133]
+Labels: ['Diabetes type 1']
+Scores: [0.3269776999950409]
+Labels: ['Diabetes type 2']
+Scores: [0.2229098379611969]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39689816
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Female', 'Middle Aged', 'Depression', 'Adult', 'Glycated Hemoglobin', 'Prevalence', 'Sex Factors', 'Surveys and Questionnaires', 'Self-Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04491035267710686]
+Labels: ['Diabetes']
+Scores: [0.6283671259880066]
+Labels: ['Cancer']
+Scores: [0.05598590895533562]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02948073484003544]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2123524248600006]
+Labels: ['Mental Health']
+Scores: [0.2793804407119751]
+Labels: ['Diabetes type 1']
+Scores: [0.8575243353843689]
+Labels: ['Diabetes type 2']
+Scores: [0.6737064123153687]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39689633
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Parents', 'Qualitative Research', 'Child', 'Adolescent', 'Child, Preschool', 'Interviews as Topic', 'Infant', 'Hospitalization', 'Adult', 'Self Care', 'Self-Management', 'Perception', 'Social Support']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.061757396906614304]
+Labels: ['Diabetes']
+Scores: [0.8478406071662903]
+Labels: ['Cancer']
+Scores: [0.0840698629617691]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037300582975149155]
+Labels: ['Cardiovascular diseases']
+Scores: [0.22621065378189087]
+Labels: ['Mental Health']
+Scores: [0.09532926976680756]
+Labels: ['Diabetes type 1']
+Scores: [0.9326832294464111]
+Labels: ['Diabetes type 2']
+Scores: [0.6374672055244446]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39688288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Male', 'Adult', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 1', 'Medically Underserved Area', 'California', 'Florida']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025063157081604004]
+Labels: ['Diabetes']
+Scores: [0.9066256880760193]
+Labels: ['Cancer']
+Scores: [0.058122292160987854]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01347125880420208]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10483434051275253]
+Labels: ['Mental Health']
+Scores: [0.03226611018180847]
+Labels: ['Diabetes type 1']
+Scores: [0.6707894206047058]
+Labels: ['Diabetes type 2']
+Scores: [0.6398747563362122]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686350
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Female', 'Spectroscopy, Near-Infrared', 'Blood Glucose', 'Male', 'Middle Aged', 'Prospective Studies', 'Diabetes Mellitus, Type 2', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14618155360221863]
+Labels: ['Diabetes']
+Scores: [0.017124352976679802]
+Labels: ['Cancer']
+Scores: [0.024961598217487335]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005029747728258371]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07844513654708862]
+Labels: ['Mental Health']
+Scores: [0.024723920971155167]
+Labels: ['Diabetes type 1']
+Scores: [0.008941649459302425]
+Labels: ['Diabetes type 2']
+Scores: [0.008663203567266464]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39686207
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Neural Networks, Computer', 'Blood Glucose', 'Internet of Things', 'Deep Learning', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Forecasting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7062362432479858]
+Labels: ['Diabetes']
+Scores: [0.75396728515625]
+Labels: ['Cancer']
+Scores: [0.7055741548538208]
+Labels: ['Chronic respiratory disease']
+Scores: [0.686897873878479]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7259464859962463]
+Labels: ['Mental Health']
+Scores: [0.6713398694992065]
+Labels: ['Diabetes type 1']
+Scores: [0.7611330151557922]
+Labels: ['Diabetes type 2']
+Scores: [0.726222813129425]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39683492
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Isomaltose', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Middle Aged', 'Cross-Over Studies', 'Adult', 'Exercise', 'Insulin', 'Blood Glucose', 'Insulin Infusion Systems', 'Glucagon', 'Glucagon-Like Peptide 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07713279128074646]
+Labels: ['Diabetes']
+Scores: [0.7120242714881897]
+Labels: ['Cancer']
+Scores: [0.07248228788375854]
+Labels: ['Chronic respiratory disease']
+Scores: [0.053320471197366714]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1159888282418251]
+Labels: ['Mental Health']
+Scores: [0.047050148248672485]
+Labels: ['Diabetes type 1']
+Scores: [0.8221879005432129]
+Labels: ['Diabetes type 2']
+Scores: [0.4790060222148895]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683465
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Female', 'Humans', 'Diabetes Mellitus, Type 1', 'Dietary Supplements', 'Dipeptidyl-Peptidase IV Inhibitors', 'Insulin-Secreting Cells', 'Latent Autoimmune Diabetes in Adults', 'Vitamin D', 'Vitamin D Deficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8387132287025452]
+Labels: ['Diabetes']
+Scores: [0.8781970739364624]
+Labels: ['Cancer']
+Scores: [0.860640823841095]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8623332381248474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8609304428100586]
+Labels: ['Mental Health']
+Scores: [0.848380446434021]
+Labels: ['Diabetes type 1']
+Scores: [0.8773214817047119]
+Labels: ['Diabetes type 2']
+Scores: [0.8769558668136597]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39682744
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Extracellular Vesicles', 'Humans', 'Insulin-Secreting Cells', 'Cell Communication', 'Animals', 'Islets of Langerhans', 'Cellular Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4130006432533264]
+Labels: ['Diabetes']
+Scores: [0.8457894325256348]
+Labels: ['Cancer']
+Scores: [0.6490001678466797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5882879495620728]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7198328971862793]
+Labels: ['Mental Health']
+Scores: [0.3365069329738617]
+Labels: ['Diabetes type 1']
+Scores: [0.8316170573234558]
+Labels: ['Diabetes type 2']
+Scores: [0.7938357591629028]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39682729
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Intestinal Mucosa', 'Inflammatory Bowel Diseases', 'Celiac Disease', 'Protein Tyrosine Phosphatases', 'Animals', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6300124526023865]
+Labels: ['Diabetes']
+Scores: [0.8154482841491699]
+Labels: ['Cancer']
+Scores: [0.7630576491355896]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8003234267234802]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7917933464050293]
+Labels: ['Mental Health']
+Scores: [0.6079679727554321]
+Labels: ['Diabetes type 1']
+Scores: [0.824044942855835]
+Labels: ['Diabetes type 2']
+Scores: [0.8035109639167786]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 5], [0, 2]]
+---------------------------------
+---------------------------------
+PMID: 39682726
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Organoids', 'Alzheimer Disease', 'Herpesvirus 1, Human', 'Brain', 'Herpes Simplex', 'Islets of Langerhans', 'Autoimmune Diseases', 'Stem Cells', 'Transcriptome', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8247975707054138]
+Labels: ['Diabetes']
+Scores: [0.8990522027015686]
+Labels: ['Cancer']
+Scores: [0.8644665479660034]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8566740155220032]
+Labels: ['Cardiovascular diseases']
+Scores: [0.852422297000885]
+Labels: ['Mental Health']
+Scores: [0.8269797563552856]
+Labels: ['Diabetes type 1']
+Scores: [0.9040506482124329]
+Labels: ['Diabetes type 2']
+Scores: [0.8807755708694458]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39680874
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Aged', 'Diabetes Mellitus, Type 1', 'Caregivers', 'Male', 'Pilot Projects', 'Female', 'Feasibility Studies', 'Quality of Life', 'Middle Aged', 'Self-Management', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.045043665915727615]
+Labels: ['Diabetes']
+Scores: [0.0035369580145925283]
+Labels: ['Cancer']
+Scores: [0.005276970565319061]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0028798989951610565]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02372567355632782]
+Labels: ['Mental Health']
+Scores: [0.014826440252363682]
+Labels: ['Diabetes type 1']
+Scores: [0.0038508439902216196]
+Labels: ['Diabetes type 2']
+Scores: [0.0028603840619325638]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680256
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Glycemic Control', 'Child', 'Diabetes Mellitus, Type 1', 'Parents', 'Child, Preschool', 'Hypoglycemia', 'Stress, Psychological', 'Infant', 'Blood Glucose', 'Parent-Child Relations', 'Fear']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.549791693687439]
+Labels: ['Diabetes']
+Scores: [0.8201548457145691]
+Labels: ['Cancer']
+Scores: [0.47289252281188965]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5677434802055359]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5648284554481506]
+Labels: ['Mental Health']
+Scores: [0.35297104716300964]
+Labels: ['Diabetes type 1']
+Scores: [0.7818877100944519]
+Labels: ['Diabetes type 2']
+Scores: [0.7467631101608276]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39679900
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Adult', 'Obesity', 'Diabetes Complications', 'Insulin Resistance', 'Young Adult', 'Cardiovascular Diseases', 'Obesity, Metabolically Benign', 'Body Mass Index', 'Follow-Up Studies', 'Adolescent', 'Diabetic Neuropathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0442434586584568]
+Labels: ['Diabetes']
+Scores: [0.7888086438179016]
+Labels: ['Cancer']
+Scores: [0.0738430842757225]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018101098015904427]
+Labels: ['Cardiovascular diseases']
+Scores: [0.21030935645103455]
+Labels: ['Mental Health']
+Scores: [0.05865753814578056]
+Labels: ['Diabetes type 1']
+Scores: [0.8839229345321655]
+Labels: ['Diabetes type 2']
+Scores: [0.549098551273346]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39678192
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Biomarkers', 'Female', 'Lipase', 'Adult', 'Amylases', 'Immunotherapy', 'Trypsin', 'Young Adult', 'Pancreas, Exocrine', 'Adolescent', 'Granulocyte Colony-Stimulating Factor', 'Treatment Outcome', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012614735402166843]
+Labels: ['Diabetes']
+Scores: [0.7043116092681885]
+Labels: ['Cancer']
+Scores: [0.041759345680475235]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02490500546991825]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05328411981463432]
+Labels: ['Mental Health']
+Scores: [0.013637032359838486]
+Labels: ['Diabetes type 1']
+Scores: [0.7478472590446472]
+Labels: ['Diabetes type 2']
+Scores: [0.544694185256958]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39676645
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Prospective Studies', 'Adult', 'Systole', 'Diastole', 'Ultrasonography, Prenatal', 'Fetal Heart', 'Diabetes Mellitus, Type 1', 'Echocardiography, Doppler', 'Young Adult', 'Ventricular Function, Left', 'Myocardial Contraction', 'Pregnancy in Diabetics', 'Stroke Volume', 'Diabetes Mellitus, Type 2', 'Heart Ventricles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0053610592149198055]
+Labels: ['Diabetes']
+Scores: [0.016163496300578117]
+Labels: ['Cancer']
+Scores: [0.003802299266681075]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0029223940800875425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014153650030493736]
+Labels: ['Mental Health']
+Scores: [0.005495921708643436]
+Labels: ['Diabetes type 1']
+Scores: [0.013055194169282913]
+Labels: ['Diabetes type 2']
+Scores: [0.011486837640404701]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39676515
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Health Knowledge, Attitudes, Practice', 'Female', 'Male', 'School Teachers', 'Morocco', 'Adult', 'Surveys and Questionnaires', 'Child', 'Schools', 'Health Education', 'School Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008354471065104008]
+Labels: ['Diabetes']
+Scores: [0.17154954373836517]
+Labels: ['Cancer']
+Scores: [0.01480512972921133]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005293921567499638]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03323855996131897]
+Labels: ['Mental Health']
+Scores: [0.011414299719035625]
+Labels: ['Diabetes type 1']
+Scores: [0.3019739091396332]
+Labels: ['Diabetes type 2']
+Scores: [0.20050185918807983]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39675543
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Pyroptosis', 'Diabetes Mellitus, Type 1', 'Mice', 'Arsenic', 'Caspase 1', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Diabetes Mellitus, Experimental', 'Male', 'Insulin', 'Reactive Oxygen Species', 'Blood Glucose', 'Streptozocin', 'Phosphate-Binding Proteins', 'Disease Progression', 'Interleukin-18', 'Interleukin-1beta', 'Pancreas', 'Signal Transduction', 'Mice, Inbred C57BL', 'Insulin Resistance', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4392445683479309]
+Labels: ['Diabetes']
+Scores: [0.4692150354385376]
+Labels: ['Cancer']
+Scores: [0.43358734250068665]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4357737898826599]
+Labels: ['Cardiovascular diseases']
+Scores: [0.46609097719192505]
+Labels: ['Mental Health']
+Scores: [0.4252137839794159]
+Labels: ['Diabetes type 1']
+Scores: [0.49066367745399475]
+Labels: ['Diabetes type 2']
+Scores: [0.47369059920310974]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39675483
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Insulin Infusion Systems', 'Adolescent', 'Parents', 'Insulin', 'Blood Glucose Self-Monitoring', 'Child', 'Hypoglycemic Agents', 'Patient Acceptance of Health Care', 'Surveys and Questionnaires', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.03948373720049858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02536097913980484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.27659186720848083]
+Labels: ['Mental Health']
+Scores: [0.06401468068361282]
+Labels: ['Diabetes type 1']
+Scores: [0.7950893640518188]
+Labels: ['Diabetes type 2']
+Scores: [0.3799188733100891]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39675356
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Methylenetetrahydrofolate Reductase (NADPH2)', 'Female', 'Male', 'Adolescent', 'Child', 'Interleukin-4', 'Polymorphism, Genetic', 'Diabetic Neuropathies', 'Diabetes Mellitus, Type 1', 'Genotype', 'Genetic Predisposition to Disease', 'Neural Conduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00898108258843422]
+Labels: ['Diabetes']
+Scores: [0.009806622751057148]
+Labels: ['Cancer']
+Scores: [0.010493588633835316]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0033889112528413534]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009558859281241894]
+Labels: ['Mental Health']
+Scores: [0.006564323324710131]
+Labels: ['Diabetes type 1']
+Scores: [0.01317074615508318]
+Labels: ['Diabetes type 2']
+Scores: [0.015888215973973274]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673446
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cost-Benefit Analysis', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents', 'Models, Economic', 'Glycated Hemoglobin', 'Quality-Adjusted Life Years', 'Randomized Controlled Trials as Topic', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019659344106912613]
+Labels: ['Diabetes']
+Scores: [0.9035160541534424]
+Labels: ['Cancer']
+Scores: [0.07353188097476959]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0075059495866298676]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15542003512382507]
+Labels: ['Mental Health']
+Scores: [0.016169872134923935]
+Labels: ['Diabetes type 1']
+Scores: [0.9392569065093994]
+Labels: ['Diabetes type 2']
+Scores: [0.38673707842826843]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673230
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cardiovascular Diseases', 'Australia', 'Risk Assessment', 'Male', 'Female', 'Adult', 'Middle Aged', 'Heart Disease Risk Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12762674689292908]
+Labels: ['Diabetes']
+Scores: [0.3884313106536865]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.07544471323490143]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5487253069877625]
+Labels: ['Mental Health']
+Scores: [0.04794425517320633]
+Labels: ['Diabetes type 1']
+Scores: [0.40707576274871826]
+Labels: ['Diabetes type 2']
+Scores: [0.2633655071258545]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39670552
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Insulin', 'Child', 'Female', 'Male', 'Needlestick Injuries', 'Injections, Subcutaneous', 'Needles', 'Adolescent', 'Diabetes Mellitus, Type 1', 'Child, Preschool', 'Hypoglycemic Agents', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.16538488864898682]
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+Scores: [0.2514077126979828]
+Labels: ['Mental Health']
+Scores: [0.14751768112182617]
+Labels: ['Diabetes type 1']
+Scores: [0.13032308220863342]
+Labels: ['Diabetes type 2']
+Scores: [0.13051633536815643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39667114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Child', 'Prospective Studies', 'Pneumococcal Vaccines', 'Seroconversion', 'Pilot Projects', 'Antibodies, Bacterial', 'Child, Preschool', 'Immunoglobulin G', 'Adolescent', 'Vaccination', 'Pneumococcal Infections', 'Glycated Hemoglobin', 'Streptococcus pneumoniae']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20144043862819672]
+Labels: ['Diabetes']
+Scores: [0.5877169966697693]
+Labels: ['Cancer']
+Scores: [0.14141352474689484]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0904068723320961]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2584867477416992]
+Labels: ['Mental Health']
+Scores: [0.09471011161804199]
+Labels: ['Diabetes type 1']
+Scores: [0.8000367283821106]
+Labels: ['Diabetes type 2']
+Scores: [0.6225705146789551]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.26599112153053284]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.26345041394233704]
+Labels: ['Cardiovascular diseases']
+Scores: [0.285218745470047]
+Labels: ['Mental Health']
+Scores: [0.2679261863231659]
+Labels: ['Diabetes type 1']
+Scores: [0.3219224810600281]
+Labels: ['Diabetes type 2']
+Scores: [0.3270304203033447]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665438
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Insulin-Secreting Cells', 'Diabetes Mellitus, Experimental', 'Cell Survival', 'Anti-Inflammatory Agents', 'Polytetrafluoroethylene', 'Diabetes Mellitus, Type 1', 'Male', 'Macrophages', 'Membranes, Artificial', 'Mice, Inbred C57BL', 'Cell Encapsulation', 'Islets of Langerhans Transplantation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10767196118831635]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.08699342608451843]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1245637834072113]
+Labels: ['Mental Health']
+Scores: [0.08138609677553177]
+Labels: ['Diabetes type 1']
+Scores: [0.21959659457206726]
+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39664107
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Adult', 'Middle Aged', 'Diabetic Neuropathies', 'Female', 'Magnetic Resonance Imaging', 'Olfactory Bulb', 'Aged', 'Young Adult', 'Adolescent', 'Case-Control Studies', 'Smell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08153728395700455]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.026229949668049812]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09946253150701523]
+Labels: ['Mental Health']
+Scores: [0.05844097211956978]
+Labels: ['Diabetes type 1']
+Scores: [0.8881788849830627]
+Labels: ['Diabetes type 2']
+Scores: [0.486884742975235]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39663236
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Quality of Life', 'Psychometrics', 'Sweden', 'Child', 'Male', 'Female', 'Surveys and Questionnaires', 'Chronic Disease', 'Adolescent', 'Reproducibility of Results', 'Diabetes Mellitus, Type 1', 'Translations', 'Asthma', 'Parents', 'Factor Analysis, Statistical', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024374503642320633]
+Labels: ['Diabetes']
+Scores: [0.009740464389324188]
+Labels: ['Cancer']
+Scores: [0.04007769003510475]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03132966160774231]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04852427542209625]
+Labels: ['Mental Health']
+Scores: [0.018747949972748756]
+Labels: ['Diabetes type 1']
+Scores: [0.008518054150044918]
+Labels: ['Diabetes type 2']
+Scores: [0.010401756502687931]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661959
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Adolescent', 'Male', 'Belgium', 'Longitudinal Studies', 'Young Adult', 'Adult', 'Self Concept']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0903545394539833]
+Labels: ['Diabetes']
+Scores: [0.900428295135498]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.06622102856636047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13886861503124237]
+Labels: ['Mental Health']
+Scores: [0.04868372902274132]
+Labels: ['Diabetes type 1']
+Scores: [0.9338492751121521]
+Labels: ['Diabetes type 2']
+Scores: [0.536332368850708]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658973
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Retrospective Studies', 'Pakistan', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Adult', 'SARS-CoV-2', 'Survival Rate', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04895426332950592]
+Labels: ['Diabetes']
+Scores: [0.07408370077610016]
+Labels: ['Cancer']
+Scores: [0.0457661896944046]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027591954916715622]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06728854775428772]
+Labels: ['Mental Health']
+Scores: [0.020675135776400566]
+Labels: ['Diabetes type 1']
+Scores: [0.5325283408164978]
+Labels: ['Diabetes type 2']
+Scores: [0.48278194665908813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658119
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Diabetes Mellitus, Type 1', 'Child', 'Male', 'Female', 'Retrospective Studies', 'Adolescent', 'Saudi Arabia', 'Child, Preschool', 'Incidence', 'Polyuria', 'Abdominal Pain', 'Polydipsia', 'Vomiting', 'Age Factors', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1508694738149643]
+Labels: ['Diabetes']
+Scores: [0.6382779479026794]
+Labels: ['Cancer']
+Scores: [0.5503222942352295]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15211501717567444]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19568109512329102]
+Labels: ['Mental Health']
+Scores: [0.04861418902873993]
+Labels: ['Diabetes type 1']
+Scores: [0.7635096907615662]
+Labels: ['Diabetes type 2']
+Scores: [0.6713066101074219]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39658013
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Female', 'Male', 'Self Efficacy', 'Quality of Life', 'Jordan', 'Glycemic Control', 'Empowerment', 'Glycated Hemoglobin', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09949225187301636]
+Labels: ['Diabetes']
+Scores: [0.8517727851867676]
+Labels: ['Cancer']
+Scores: [0.21913088858127594]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028001347556710243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20088453590869904]
+Labels: ['Mental Health']
+Scores: [0.11732543259859085]
+Labels: ['Diabetes type 1']
+Scores: [0.9227202534675598]
+Labels: ['Diabetes type 2']
+Scores: [0.6015504598617554]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653802
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Exercise', 'Insulin Infusion Systems', 'Insulin', 'Adolescent', 'Child', 'Hypoglycemic Agents', 'Europe', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8047294020652771]
+Labels: ['Diabetes']
+Scores: [0.9193949103355408]
+Labels: ['Cancer']
+Scores: [0.827290415763855]
+Labels: ['Chronic respiratory disease']
+Scores: [0.843412458896637]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8578334450721741]
+Labels: ['Mental Health']
+Scores: [0.8299688100814819]
+Labels: ['Diabetes type 1']
+Scores: [0.9172874093055725]
+Labels: ['Diabetes type 2']
+Scores: [0.895176887512207]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39652325
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Male', 'Republic of Korea', 'Adolescent', 'Female', 'Child', 'Incidence', 'Child, Preschool', 'Young Adult', 'Cohort Studies', 'Pandemics', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029401279985904694]
+Labels: ['Diabetes']
+Scores: [0.0864555835723877]
+Labels: ['Cancer']
+Scores: [0.024717092514038086]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013113092631101608]
+Labels: ['Cardiovascular diseases']
+Scores: [0.040848590433597565]
+Labels: ['Mental Health']
+Scores: [0.02590201236307621]
+Labels: ['Diabetes type 1']
+Scores: [0.11210944503545761]
+Labels: ['Diabetes type 2']
+Scores: [0.12314809858798981]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39652177
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Dermatitis, Atopic', 'Comorbidity', 'Risk Factors', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus', 'Child', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22535333037376404]
+Labels: ['Diabetes']
+Scores: [0.30254340171813965]
+Labels: ['Cancer']
+Scores: [0.3640969395637512]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4766896665096283]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3425799012184143]
+Labels: ['Mental Health']
+Scores: [0.11532718688249588]
+Labels: ['Diabetes type 1']
+Scores: [0.622690737247467]
+Labels: ['Diabetes type 2']
+Scores: [0.5885661244392395]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39649224
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Genetic Predisposition to Disease', 'Genome-Wide Association Study', 'Glycated Hemoglobin', 'Mendelian Randomization Analysis', 'Polymorphism, Single Nucleotide', 'Spondylitis, Ankylosing']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23693719506263733]
+Labels: ['Diabetes']
+Scores: [0.7993682026863098]
+Labels: ['Cancer']
+Scores: [0.11415234208106995]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10214606672525406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1856093406677246]
+Labels: ['Mental Health']
+Scores: [0.09732206910848618]
+Labels: ['Diabetes type 1']
+Scores: [0.6328864693641663]
+Labels: ['Diabetes type 2']
+Scores: [0.561784029006958]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39648458
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Fatty Acids, Omega-3', 'Chemokine CXCL9', 'Insulin-Secreting Cells', 'Animals', 'Mice', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.865842878818512]
+Labels: ['Diabetes']
+Scores: [0.8940840363502502]
+Labels: ['Cancer']
+Scores: [0.8660051226615906]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8643333315849304]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8590048551559448]
+Labels: ['Mental Health']
+Scores: [0.8704563975334167]
+Labels: ['Diabetes type 1']
+Scores: [0.9008999466896057]
+Labels: ['Diabetes type 2']
+Scores: [0.894455075263977]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39645243
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Insulin-Secreting Cells', 'Animals', 'Drug Development', 'Insulin Secretion', 'Insulin', 'Disease Progression', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09705428034067154]
+Labels: ['Diabetes']
+Scores: [0.681090772151947]
+Labels: ['Cancer']
+Scores: [0.06201928108930588]
+Labels: ['Chronic respiratory disease']
+Scores: [0.086429163813591]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19104118645191193]
+Labels: ['Mental Health']
+Scores: [0.06165280565619469]
+Labels: ['Diabetes type 1']
+Scores: [0.7879471778869629]
+Labels: ['Diabetes type 2']
+Scores: [0.5079275965690613]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644976
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diving', 'Adult', 'Hypoglycemia', 'Male', 'Female', 'Blood Glucose', 'Young Adult', 'Blood Glucose Self-Monitoring', 'Glycated Hemoglobin', 'Adolescent', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06117620691657066]
+Labels: ['Diabetes']
+Scores: [0.8139474987983704]
+Labels: ['Cancer']
+Scores: [0.16791045665740967]
+Labels: ['Chronic respiratory disease']
+Scores: [0.060922443866729736]
+Labels: ['Cardiovascular diseases']
+Scores: [0.32814309000968933]
+Labels: ['Mental Health']
+Scores: [0.05956035479903221]
+Labels: ['Diabetes type 1']
+Scores: [0.8512709736824036]
+Labels: ['Diabetes type 2']
+Scores: [0.5193374752998352]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39642862
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Islets of Langerhans Transplantation', 'Induced Pluripotent Stem Cells', 'Islets of Langerhans', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0850806012749672]
+Labels: ['Diabetes']
+Scores: [0.9410375952720642]
+Labels: ['Cancer']
+Scores: [0.09616871178150177]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011549127288162708]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07798196375370026]
+Labels: ['Mental Health']
+Scores: [0.03315672650933266]
+Labels: ['Diabetes type 1']
+Scores: [0.953122079372406]
+Labels: ['Diabetes type 2']
+Scores: [0.6337395906448364]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39639901
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cost-Benefit Analysis', 'Diabetes Mellitus, Type 2', 'Patient Education as Topic', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5355430841445923]
+Labels: ['Diabetes']
+Scores: [0.9564740657806396]
+Labels: ['Cancer']
+Scores: [0.5409412384033203]
+Labels: ['Chronic respiratory disease']
+Scores: [0.538438081741333]
+Labels: ['Cardiovascular diseases']
+Scores: [0.45899292826652527]
+Labels: ['Mental Health']
+Scores: [0.29374879598617554]
+Labels: ['Diabetes type 1']
+Scores: [0.9349835515022278]
+Labels: ['Diabetes type 2']
+Scores: [0.9426398873329163]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39636437
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Mice, Inbred NOD', 'Mice', 'Female', 'Diabetes Mellitus, Type 1', 'Antigens, Differentiation, T-Lymphocyte', 'Antibodies, Monoclonal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18424676358699799]
+Labels: ['Diabetes']
+Scores: [0.5184037685394287]
+Labels: ['Cancer']
+Scores: [0.12851248681545258]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07424302399158478]
+Labels: ['Cardiovascular diseases']
+Scores: [0.30652472376823425]
+Labels: ['Mental Health']
+Scores: [0.11519163101911545]
+Labels: ['Diabetes type 1']
+Scores: [0.6507017016410828]
+Labels: ['Diabetes type 2']
+Scores: [0.465013712644577]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39632776
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Glycemic Control', 'Blood Glucose Self-Monitoring', 'Hypoglycemia', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 2', 'Diabetic Angiopathies', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Postprandial Period', 'Clinical Relevance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7822036743164062]
+Labels: ['Diabetes']
+Scores: [0.823013424873352]
+Labels: ['Cancer']
+Scores: [0.79041588306427]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7841889262199402]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7906497120857239]
+Labels: ['Mental Health']
+Scores: [0.7674933075904846]
+Labels: ['Diabetes type 1']
+Scores: [0.8130643367767334]
+Labels: ['Diabetes type 2']
+Scores: [0.8095544576644897]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39632164
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Female', 'Male', 'Child, Preschool', 'Surveys and Questionnaires', 'Infant', 'Parents', 'Insulin Infusion Systems', 'Patient Satisfaction', 'Blood Glucose', 'Child', 'Caregivers', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1566324383020401]
+Labels: ['Diabetes']
+Scores: [0.9036805033683777]
+Labels: ['Cancer']
+Scores: [0.15601345896720886]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07796725630760193]
+Labels: ['Cardiovascular diseases']
+Scores: [0.28655120730400085]
+Labels: ['Mental Health']
+Scores: [0.03670155629515648]
+Labels: ['Diabetes type 1']
+Scores: [0.9276908040046692]
+Labels: ['Diabetes type 2']
+Scores: [0.787163496017456]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39629047
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Drug Administration Schedule', 'Glycated Hemoglobin', 'Hypoglycemia', 'Hypoglycemic Agents', 'Insulin', 'Insulin, Long-Acting', 'Randomized Controlled Trials as Topic', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04765797033905983]
+Labels: ['Diabetes']
+Scores: [0.6199918985366821]
+Labels: ['Cancer']
+Scores: [0.025772932916879654]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022864930331707]
+Labels: ['Cardiovascular diseases']
+Scores: [0.22420139610767365]
+Labels: ['Mental Health']
+Scores: [0.029894886538386345]
+Labels: ['Diabetes type 1']
+Scores: [0.6677932143211365]
+Labels: ['Diabetes type 2']
+Scores: [0.6770599484443665]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39627081
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Retrospective Studies', 'Child', 'Female', 'Male', 'Adolescent', 'Child, Preschool', 'Infant', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 1', 'Insulin, Long-Acting', 'Insulin', 'Infant, Newborn', 'Infusions, Intravenous']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14888271689414978]
+Labels: ['Diabetes']
+Scores: [0.6895104646682739]
+Labels: ['Cancer']
+Scores: [0.6247939467430115]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07633564621210098]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4145444333553314]
+Labels: ['Mental Health']
+Scores: [0.15990126132965088]
+Labels: ['Diabetes type 1']
+Scores: [0.4370163679122925]
+Labels: ['Diabetes type 2']
+Scores: [0.3439609408378601]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39626097
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'HLA-DR3 Antigen', 'Haplotypes', 'HLA-DR4 Antigen', 'Genetic Predisposition to Disease', 'Male', 'Female', 'Genome-Wide Association Study', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08134032785892487]
+Labels: ['Diabetes']
+Scores: [0.6957839727401733]
+Labels: ['Cancer']
+Scores: [0.05106703191995621]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05109645053744316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11141031980514526]
+Labels: ['Mental Health']
+Scores: [0.017946232110261917]
+Labels: ['Diabetes type 1']
+Scores: [0.8148531913757324]
+Labels: ['Diabetes type 2']
+Scores: [0.43110933899879456]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625868
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Wearable Electronic Devices']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23386146128177643]
+Labels: ['Diabetes']
+Scores: [0.6771340370178223]
+Labels: ['Cancer']
+Scores: [0.16709591448307037]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18190151453018188]
+Labels: ['Cardiovascular diseases']
+Scores: [0.18286767601966858]
+Labels: ['Mental Health']
+Scores: [0.05975902080535889]
+Labels: ['Diabetes type 1']
+Scores: [0.6415100693702698]
+Labels: ['Diabetes type 2']
+Scores: [0.6130504012107849]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625848
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Insulin', 'Administration, Cutaneous', 'Needles', 'Drug Delivery Systems', 'Animals', 'Skin', 'Swine', 'Skin Absorption', 'Microinjections', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Humans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08518148213624954]
+Labels: ['Diabetes']
+Scores: [0.24195972084999084]
+Labels: ['Cancer']
+Scores: [0.06015617027878761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04094481095671654]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09429020434617996]
+Labels: ['Mental Health']
+Scores: [0.030677763745188713]
+Labels: ['Diabetes type 1']
+Scores: [0.5600365996360779]
+Labels: ['Diabetes type 2']
+Scores: [0.3486602008342743]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625039
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, Glucagon', 'Hypoglycemic Agents', 'Blood Glucose', 'Insulin', 'Randomized Controlled Trials as Topic', 'Hypoglycemia', 'Treatment Outcome', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12796476483345032]
+Labels: ['Diabetes']
+Scores: [0.27927589416503906]
+Labels: ['Cancer']
+Scores: [0.15824918448925018]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16506929695606232]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2195645272731781]
+Labels: ['Mental Health']
+Scores: [0.12763182818889618]
+Labels: ['Diabetes type 1']
+Scores: [0.35197681188583374]
+Labels: ['Diabetes type 2']
+Scores: [0.3314066231250763]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622650
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Adolescent', 'Insulin', 'Skin Diseases', 'Hypoglycemic Agents', 'Child, Preschool', 'Lipodystrophy', 'Dermatitis, Contact']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15898244082927704]
+Labels: ['Diabetes']
+Scores: [0.7470040917396545]
+Labels: ['Cancer']
+Scores: [0.27402934432029724]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11300954222679138]
+Labels: ['Cardiovascular diseases']
+Scores: [0.24092908203601837]
+Labels: ['Mental Health']
+Scores: [0.050603460520505905]
+Labels: ['Diabetes type 1']
+Scores: [0.8545145988464355]
+Labels: ['Diabetes type 2']
+Scores: [0.7223125100135803]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39622257
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Registries', 'Child', 'Female', 'Male', 'Longitudinal Studies', 'Adolescent', 'Child, Preschool', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Treatment Outcome', 'Infant', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022953158244490623]
+Labels: ['Diabetes']
+Scores: [0.6642749905586243]
+Labels: ['Cancer']
+Scores: [0.04008489474654198]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014137925580143929]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1428242027759552]
+Labels: ['Mental Health']
+Scores: [0.02424200437963009]
+Labels: ['Diabetes type 1']
+Scores: [0.8443748354911804]
+Labels: ['Diabetes type 2']
+Scores: [0.44210290908813477]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622163
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Animals', 'Blood Glucose', 'Tissue Engineering', 'Porosity', 'Human Umbilical Vein Endothelial Cells', 'Tissue Scaffolds', 'Induced Pluripotent Stem Cells', 'Insulin', 'Diabetes Mellitus, Experimental', 'Printing, Three-Dimensional', 'Bioprinting', 'Male', 'Cell Survival', 'Insulin-Secreting Cells', 'Extracellular Matrix']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8898364901542664]
+Labels: ['Diabetes']
+Scores: [0.8997241854667664]
+Labels: ['Cancer']
+Scores: [0.8951632380485535]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8970089554786682]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8935420513153076]
+Labels: ['Mental Health']
+Scores: [0.8836156129837036]
+Labels: ['Diabetes type 1']
+Scores: [0.900903046131134]
+Labels: ['Diabetes type 2']
+Scores: [0.8987518548965454]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39621933
+Predictions: ['Diabetes', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Child, Preschool', 'Retrospective Studies', 'Female', 'Blood Glucose', 'Male', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Hospitalization', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017232254147529602]
+Labels: ['Diabetes']
+Scores: [0.9426218867301941]
+Labels: ['Cancer']
+Scores: [0.004633056931197643]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004524869844317436]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07995248585939407]
+Labels: ['Mental Health']
+Scores: [0.007142363116145134]
+Labels: ['Diabetes type 1']
+Scores: [0.671620786190033]
+Labels: ['Diabetes type 2']
+Scores: [0.4646175801753998]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621313
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice, Inbred NOD', 'Interleukin-4', 'Mice', 'Thymus Gland', 'Diabetes Mellitus, Type 1', 'Receptors, Antigen, T-Cell', 'Dendritic Cells', 'Natural Killer T-Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8830179572105408]
+Labels: ['Diabetes']
+Scores: [0.9066145420074463]
+Labels: ['Cancer']
+Scores: [0.8834524750709534]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8756610751152039]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8745450973510742]
+Labels: ['Mental Health']
+Scores: [0.855635404586792]
+Labels: ['Diabetes type 1']
+Scores: [0.9143598079681396]
+Labels: ['Diabetes type 2']
+Scores: [0.9071283936500549]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39620918
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Aged', 'Automobile Driving', 'Insulin Infusion Systems', 'Male', 'Female', 'Insulin', 'Cross-Over Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08767133951187134]
+Labels: ['Diabetes']
+Scores: [0.7326746582984924]
+Labels: ['Cancer']
+Scores: [0.237359419465065]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23868127167224884]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4153286814689636]
+Labels: ['Mental Health']
+Scores: [0.27399560809135437]
+Labels: ['Diabetes type 1']
+Scores: [0.7280930876731873]
+Labels: ['Diabetes type 2']
+Scores: [0.6500688791275024]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25227591395378113]
+Labels: ['Diabetes']
+Scores: [0.32421451807022095]
+Labels: ['Cancer']
+Scores: [0.2938750684261322]
+Labels: ['Chronic respiratory disease']
+Scores: [0.30236929655075073]
+Labels: ['Cardiovascular diseases']
+Scores: [0.29533442854881287]
+Labels: ['Mental Health']
+Scores: [0.299609512090683]
+Labels: ['Diabetes type 1']
+Scores: [0.3502211570739746]
+Labels: ['Diabetes type 2']
+Scores: [0.35239818692207336]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009460605680942535]
+Labels: ['Diabetes']
+Scores: [0.5527294874191284]
+Labels: ['Cancer']
+Scores: [0.012070884928107262]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010913354344666004]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04207710921764374]
+Labels: ['Mental Health']
+Scores: [0.018023574724793434]
+Labels: ['Diabetes type 1']
+Scores: [0.6656998991966248]
+Labels: ['Diabetes type 2']
+Scores: [0.21521389484405518]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20035451650619507]
+Labels: ['Diabetes']
+Scores: [0.4279763102531433]
+Labels: ['Cancer']
+Scores: [0.37651050090789795]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3808543384075165]
+Labels: ['Cardiovascular diseases']
+Scores: [0.38556352257728577]
+Labels: ['Mental Health']
+Scores: [0.34605327248573303]
+Labels: ['Diabetes type 1']
+Scores: [0.4391561448574066]
+Labels: ['Diabetes type 2']
+Scores: [0.43688756227493286]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4582196772098541]
+Labels: ['Diabetes']
+Scores: [0.49939125776290894]
+Labels: ['Cancer']
+Scores: [0.48244595527648926]
+Labels: ['Chronic respiratory disease']
+Scores: [0.48721346259117126]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4829069674015045]
+Labels: ['Mental Health']
+Scores: [0.46885284781455994]
+Labels: ['Diabetes type 1']
+Scores: [0.505580723285675]
+Labels: ['Diabetes type 2']
+Scores: [0.49958178400993347]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04004978388547897]
+Labels: ['Diabetes']
+Scores: [0.752996027469635]
+Labels: ['Cancer']
+Scores: [0.026345230638980865]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024594273418188095]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10147909820079803]
+Labels: ['Mental Health']
+Scores: [0.026685377582907677]
+Labels: ['Diabetes type 1']
+Scores: [0.6300082206726074]
+Labels: ['Diabetes type 2']
+Scores: [0.5375824570655823]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08746789395809174]
+Labels: ['Diabetes']
+Scores: [0.3437007665634155]
+Labels: ['Cancer']
+Scores: [0.10351797938346863]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08974138647317886]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11983668804168701]
+Labels: ['Mental Health']
+Scores: [0.045495208352804184]
+Labels: ['Diabetes type 1']
+Scores: [0.44410189986228943]
+Labels: ['Diabetes type 2']
+Scores: [0.465731143951416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0803709328174591]
+Labels: ['Diabetes']
+Scores: [0.6603488922119141]
+Labels: ['Cancer']
+Scores: [0.53565514087677]
+Labels: ['Chronic respiratory disease']
+Scores: [0.21787267923355103]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42362716794013977]
+Labels: ['Mental Health']
+Scores: [0.13708437979221344]
+Labels: ['Diabetes type 1']
+Scores: [0.5721831917762756]
+Labels: ['Diabetes type 2']
+Scores: [0.5421975255012512]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18148693442344666]
+Labels: ['Diabetes']
+Scores: [0.549096405506134]
+Labels: ['Cancer']
+Scores: [0.20125681161880493]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18045936524868011]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23209163546562195]
+Labels: ['Mental Health']
+Scores: [0.0595361664891243]
+Labels: ['Diabetes type 1']
+Scores: [0.5184134244918823]
+Labels: ['Diabetes type 2']
+Scores: [0.6883289217948914]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02943212166428566]
+Labels: ['Diabetes']
+Scores: [0.7925818562507629]
+Labels: ['Cancer']
+Scores: [0.10339444130659103]
+Labels: ['Chronic respiratory disease']
+Scores: [0.042193278670310974]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17406891286373138]
+Labels: ['Mental Health']
+Scores: [0.06893017888069153]
+Labels: ['Diabetes type 1']
+Scores: [0.7151866555213928]
+Labels: ['Diabetes type 2']
+Scores: [0.8953310251235962]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12966711819171906]
+Labels: ['Diabetes']
+Scores: [0.7816659808158875]
+Labels: ['Cancer']
+Scores: [0.10140234977006912]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12302042543888092]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5133219957351685]
+Labels: ['Mental Health']
+Scores: [0.07335085421800613]
+Labels: ['Diabetes type 1']
+Scores: [0.6254347562789917]
+Labels: ['Diabetes type 2']
+Scores: [0.641886293888092]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03644593805074692]
+Labels: ['Diabetes']
+Scores: [0.3477022349834442]
+Labels: ['Cancer']
+Scores: [0.058238688856363297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037727292627096176]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12020978331565857]
+Labels: ['Mental Health']
+Scores: [0.06723804026842117]
+Labels: ['Diabetes type 1']
+Scores: [0.44174161553382874]
+Labels: ['Diabetes type 2']
+Scores: [0.6219243407249451]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.048394955694675446]
+Labels: ['Diabetes']
+Scores: [0.40715569257736206]
+Labels: ['Cancer']
+Scores: [0.06786740571260452]
+Labels: ['Chronic respiratory disease']
+Scores: [0.032998256385326385]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14689956605434418]
+Labels: ['Mental Health']
+Scores: [0.03251790255308151]
+Labels: ['Diabetes type 1']
+Scores: [0.44942522048950195]
+Labels: ['Diabetes type 2']
+Scores: [0.4863593876361847]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04422345757484436]
+Labels: ['Diabetes']
+Scores: [0.6976087093353271]
+Labels: ['Cancer']
+Scores: [0.03906979784369469]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03966466709971428]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2037719488143921]
+Labels: ['Mental Health']
+Scores: [0.05957230553030968]
+Labels: ['Diabetes type 1']
+Scores: [0.5432446599006653]
+Labels: ['Diabetes type 2']
+Scores: [0.47475045919418335]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11747118830680847]
+Labels: ['Diabetes']
+Scores: [0.007519393693655729]
+Labels: ['Cancer']
+Scores: [0.01918897219002247]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02693498507142067]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04296686872839928]
+Labels: ['Mental Health']
+Scores: [0.026270726695656776]
+Labels: ['Diabetes type 1']
+Scores: [0.004002581350505352]
+Labels: ['Diabetes type 2']
+Scores: [0.003917693626135588]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9110143184661865]
+Labels: ['Diabetes']
+Scores: [0.8849521279335022]
+Labels: ['Cancer']
+Scores: [0.8771858215332031]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9170444011688232]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9193761944770813]
+Labels: ['Mental Health']
+Scores: [0.9151905179023743]
+Labels: ['Diabetes type 1']
+Scores: [0.9175102710723877]
+Labels: ['Diabetes type 2']
+Scores: [0.9175961017608643]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12367402017116547]
+Labels: ['Diabetes']
+Scores: [0.4427352547645569]
+Labels: ['Cancer']
+Scores: [0.1202125996351242]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11056288331747055]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11458326876163483]
+Labels: ['Mental Health']
+Scores: [0.054855234920978546]
+Labels: ['Diabetes type 1']
+Scores: [0.41025811433792114]
+Labels: ['Diabetes type 2']
+Scores: [0.5336281061172485]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9847491383552551]
+Labels: ['Diabetes']
+Scores: [0.9877324104309082]
+Labels: ['Cancer']
+Scores: [0.9857999086380005]
+Labels: ['Chronic respiratory disease']
+Scores: [0.98614501953125]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9850826263427734]
+Labels: ['Mental Health']
+Scores: [0.9824999570846558]
+Labels: ['Diabetes type 1']
+Scores: [0.9876605272293091]
+Labels: ['Diabetes type 2']
+Scores: [0.988305926322937]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6978570818901062]
+Labels: ['Diabetes']
+Scores: [0.7720710039138794]
+Labels: ['Cancer']
+Scores: [0.7585973739624023]
+Labels: ['Chronic respiratory disease']
+Scores: [0.76606684923172]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7488076686859131]
+Labels: ['Mental Health']
+Scores: [0.7478012442588806]
+Labels: ['Diabetes type 1']
+Scores: [0.7785453796386719]
+Labels: ['Diabetes type 2']
+Scores: [0.7867738604545593]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 6], [0, 1]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01459355466067791]
+Labels: ['Diabetes']
+Scores: [0.5794658064842224]
+Labels: ['Cancer']
+Scores: [0.101490318775177]
+Labels: ['Chronic respiratory disease']
+Scores: [0.043745044618844986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.18050135672092438]
+Labels: ['Mental Health']
+Scores: [0.04171957075595856]
+Labels: ['Diabetes type 1']
+Scores: [0.45318105816841125]
+Labels: ['Diabetes type 2']
+Scores: [0.3517642021179199]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09667753428220749]
+Labels: ['Diabetes']
+Scores: [0.9204654097557068]
+Labels: ['Cancer']
+Scores: [0.23307344317436218]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05210211127996445]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12316253781318665]
+Labels: ['Mental Health']
+Scores: [0.037809837609529495]
+Labels: ['Diabetes type 1']
+Scores: [0.42774054408073425]
+Labels: ['Diabetes type 2']
+Scores: [0.9126355648040771]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.032550688832998276]
+Labels: ['Diabetes']
+Scores: [0.9464006423950195]
+Labels: ['Cancer']
+Scores: [0.08563140034675598]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023355703800916672]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0777774229645729]
+Labels: ['Mental Health']
+Scores: [0.031525708734989166]
+Labels: ['Diabetes type 1']
+Scores: [0.6709344983100891]
+Labels: ['Diabetes type 2']
+Scores: [0.5187414288520813]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735414
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cognitive Dysfunction', 'Olfaction Disorders', 'Early Diagnosis', 'Biomarkers', 'Smell', 'Magnetic Resonance Imaging', 'Brain']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.26479610800743103]
+Labels: ['Diabetes']
+Scores: [0.8596445322036743]
+Labels: ['Cancer']
+Scores: [0.26803648471832275]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03481864184141159]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17208634316921234]
+Labels: ['Mental Health']
+Scores: [0.08097738772630692]
+Labels: ['Diabetes type 1']
+Scores: [0.6069290041923523]
+Labels: ['Diabetes type 2']
+Scores: [0.884734034538269]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734182
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Female', 'Male', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Tibia', 'Periosteum', 'Microcirculation', 'Treatment Outcome', 'Follow-Up Studies', 'Wound Healing', 'Diabetes Mellitus, Type 2', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01714511029422283]
+Labels: ['Diabetes']
+Scores: [0.5789501070976257]
+Labels: ['Cancer']
+Scores: [0.04909832775592804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024354375898838043]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17708523571491241]
+Labels: ['Mental Health']
+Scores: [0.04281221330165863]
+Labels: ['Diabetes type 1']
+Scores: [0.38825541734695435]
+Labels: ['Diabetes type 2']
+Scores: [0.2942597568035126]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03947383537888527]
+Labels: ['Diabetes']
+Scores: [0.8745604753494263]
+Labels: ['Cancer']
+Scores: [0.06109381094574928]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009003892540931702]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08503617346286774]
+Labels: ['Mental Health']
+Scores: [0.017136462032794952]
+Labels: ['Diabetes type 1']
+Scores: [0.4100026786327362]
+Labels: ['Diabetes type 2']
+Scores: [0.22127088904380798]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733138
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Diabetes Mellitus, Type 2', 'Humans', 'Osteoarthritis', 'Animals', 'Rats', 'Chondrocytes', 'Cartilage, Articular', 'Up-Regulation', 'Lipopolysaccharide Receptors', 'Male', 'Monocytes', 'Gene Expression Profiling', 'Biomarkers', 'Cell Adhesion Molecules']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8427636027336121]
+Labels: ['Diabetes']
+Scores: [0.854682207107544]
+Labels: ['Cancer']
+Scores: [0.8446794152259827]
+Labels: ['Chronic respiratory disease']
+Scores: [0.840832531452179]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8444831371307373]
+Labels: ['Mental Health']
+Scores: [0.8341989517211914]
+Labels: ['Diabetes type 1']
+Scores: [0.8574811220169067]
+Labels: ['Diabetes type 2']
+Scores: [0.8606160879135132]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06450863182544708]
+Labels: ['Diabetes']
+Scores: [0.2801234722137451]
+Labels: ['Cancer']
+Scores: [0.11511275172233582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11150963604450226]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14655113220214844]
+Labels: ['Mental Health']
+Scores: [0.06504808366298676]
+Labels: ['Diabetes type 1']
+Scores: [0.28427550196647644]
+Labels: ['Diabetes type 2']
+Scores: [0.2613885998725891]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733102
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Monocytes', 'Male', 'Female', 'Middle Aged', 'Apolipoprotein A-I', 'Biomarkers', 'Aged', 'ROC Curve', 'Non-alcoholic Fatty Liver Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.672370970249176]
+Labels: ['Diabetes']
+Scores: [0.6990010142326355]
+Labels: ['Cancer']
+Scores: [0.6812256574630737]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6942024827003479]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6764771938323975]
+Labels: ['Mental Health']
+Scores: [0.6754516363143921]
+Labels: ['Diabetes type 1']
+Scores: [0.7119920253753662]
+Labels: ['Diabetes type 2']
+Scores: [0.7099714279174805]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732300
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Ferroptosis', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 2', 'Male', 'Drugs, Chinese Herbal', 'Mice', 'Diabetes Mellitus, Experimental', 'Mice, Inbred C57BL', 'Oxidative Stress', 'Liver', 'Diet, High-Fat', 'Lipid Peroxidation', 'Berberine', 'Cell Line', 'Glucosides', 'Flavanones', 'Streptozocin', 'Isoflavones', 'Flavonoids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04099287465214729]
+Labels: ['Diabetes']
+Scores: [0.8214534521102905]
+Labels: ['Cancer']
+Scores: [0.15008699893951416]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05247117951512337]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1770475059747696]
+Labels: ['Mental Health']
+Scores: [0.05989156290888786]
+Labels: ['Diabetes type 1']
+Scores: [0.8776219487190247]
+Labels: ['Diabetes type 2']
+Scores: [0.903908908367157]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731787
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Insulin Resistance', 'Animals', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Mice', 'Triterpenes', 'Male', 'Diabetes Mellitus, Experimental', 'Molecular Structure', 'Structure-Activity Relationship', 'Humans', 'Dose-Response Relationship, Drug', 'Mice, Inbred C57BL']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6219486594200134]
+Labels: ['Diabetes']
+Scores: [0.6704089641571045]
+Labels: ['Cancer']
+Scores: [0.6564569473266602]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6611778140068054]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6676368117332458]
+Labels: ['Mental Health']
+Scores: [0.6542555093765259]
+Labels: ['Diabetes type 1']
+Scores: [0.6777206659317017]
+Labels: ['Diabetes type 2']
+Scores: [0.6767866015434265]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731761
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Coagulase', 'Comorbidity', 'Diabetes Mellitus, Type 2', 'Staphylococcal Infections', 'Staphylococcus', 'Systemic Inflammatory Response Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4744657278060913]
+Labels: ['Diabetes']
+Scores: [0.5854582786560059]
+Labels: ['Cancer']
+Scores: [0.5846298933029175]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5757145285606384]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5573588013648987]
+Labels: ['Mental Health']
+Scores: [0.5629137754440308]
+Labels: ['Diabetes type 1']
+Scores: [0.5879918932914734]
+Labels: ['Diabetes type 2']
+Scores: [0.5891368389129639]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2669164836406708]
+Labels: ['Diabetes']
+Scores: [0.8868241906166077]
+Labels: ['Cancer']
+Scores: [0.23977398872375488]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09218466281890869]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16513751447200775]
+Labels: ['Mental Health']
+Scores: [0.10979859530925751]
+Labels: ['Diabetes type 1']
+Scores: [0.7831996083259583]
+Labels: ['Diabetes type 2']
+Scores: [0.6574764847755432]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730877
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Non-alcoholic Fatty Liver Disease', 'Triglycerides', 'Middle Aged', 'Male', 'Female', 'Cholesterol, HDL', 'Retrospective Studies', 'Adult', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5851258039474487]
+Labels: ['Diabetes']
+Scores: [0.583601176738739]
+Labels: ['Cancer']
+Scores: [0.5803416967391968]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5912646651268005]
+Labels: ['Cardiovascular diseases']
+Scores: [0.582813560962677]
+Labels: ['Mental Health']
+Scores: [0.5832758545875549]
+Labels: ['Diabetes type 1']
+Scores: [0.5996885299682617]
+Labels: ['Diabetes type 2']
+Scores: [0.6006538271903992]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730670
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Thyroid Hormones', 'Aged', 'Diabetic Nephropathies', 'Diabetic Retinopathy', 'Diabetic Neuropathies', 'Thyrotropin', 'Thyroid Gland', 'Risk Factors', 'Thyroxine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5624054074287415]
+Labels: ['Diabetes']
+Scores: [0.5642457604408264]
+Labels: ['Cancer']
+Scores: [0.5493558645248413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5567470192909241]
+Labels: ['Cardiovascular diseases']
+Scores: [0.587082028388977]
+Labels: ['Mental Health']
+Scores: [0.5213105082511902]
+Labels: ['Diabetes type 1']
+Scores: [0.574255108833313]
+Labels: ['Diabetes type 2']
+Scores: [0.581361711025238]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730430
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Periodontitis', 'Male', 'Female', 'Aged', 'Saliva', 'Biomarkers', 'Gingivitis', 'Adult', 'Microbiota', 'Aged, 80 and over', 'RNA, Ribosomal, 16S']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6889423727989197]
+Labels: ['Diabetes']
+Scores: [0.7135446071624756]
+Labels: ['Cancer']
+Scores: [0.6961150765419006]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6962175965309143]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6905552744865417]
+Labels: ['Mental Health']
+Scores: [0.6800088286399841]
+Labels: ['Diabetes type 1']
+Scores: [0.7216101884841919]
+Labels: ['Diabetes type 2']
+Scores: [0.7225516438484192]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Female', 'Male', 'Heart Failure', 'Middle Aged', 'Aged', 'Retrospective Studies', 'Diabetes Mellitus, Type 2', 'Republic of Korea']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3223312199115753]
+Labels: ['Diabetes']
+Scores: [0.40448570251464844]
+Labels: ['Cancer']
+Scores: [0.40612849593162537]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4256715178489685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42577505111694336]
+Labels: ['Mental Health']
+Scores: [0.40450164675712585]
+Labels: ['Diabetes type 1']
+Scores: [0.409990519285202]
+Labels: ['Diabetes type 2']
+Scores: [0.41114091873168945]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730078
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sleep Initiation and Maintenance Disorders', 'Prediabetic State', 'Glycated Hemoglobin', 'Cognitive Behavioral Therapy', 'Blood Glucose', 'Male', 'Female', 'Insulin Resistance', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Blood Glucose Self-Monitoring', 'Adult', 'Patient Education as Topic', 'Aged', 'Sleep']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03095877356827259]
+Labels: ['Diabetes']
+Scores: [0.08213964104652405]
+Labels: ['Cancer']
+Scores: [0.03628702089190483]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02082747407257557]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10946143418550491]
+Labels: ['Mental Health']
+Scores: [0.037338681519031525]
+Labels: ['Diabetes type 1']
+Scores: [0.09498661756515503]
+Labels: ['Diabetes type 2']
+Scores: [0.07995918393135071]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729922
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Periodontitis', 'Male', 'Rats, Wistar', 'Macrophages', 'Diabetes Mellitus, Experimental', 'Rats', 'Alveolar Bone Loss', 'Vitamin D', 'Phagocytosis', 'Diabetes Mellitus, Type 2', 'Calcium', 'Efferocytosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7953761219978333]
+Labels: ['Diabetes']
+Scores: [0.8250243663787842]
+Labels: ['Cancer']
+Scores: [0.7961205840110779]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8069238662719727]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8009909987449646]
+Labels: ['Mental Health']
+Scores: [0.804223895072937]
+Labels: ['Diabetes type 1']
+Scores: [0.8351452946662903]
+Labels: ['Diabetes type 2']
+Scores: [0.8327314853668213]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39729784
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Melanoma', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Denmark', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Neoplasm Staging', 'Adult', 'Sex Factors', 'Skin Neoplasms', 'Registries', 'Lymphatic Metastasis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09366315603256226]
+Labels: ['Diabetes']
+Scores: [0.9038859605789185]
+Labels: ['Cancer']
+Scores: [0.9196212887763977]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08824214339256287]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13330765068531036]
+Labels: ['Mental Health']
+Scores: [0.030806876718997955]
+Labels: ['Diabetes type 1']
+Scores: [0.8762087821960449]
+Labels: ['Diabetes type 2']
+Scores: [0.9642120599746704]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39729310
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Lectins', 'Male', 'Female', 'GPI-Linked Proteins', 'Middle Aged', 'Periodontitis', 'Cytokines', 'Tumor Necrosis Factor-alpha', 'Adult', 'Biomarkers', 'Cytokine TWEAK', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02102172002196312]
+Labels: ['Diabetes']
+Scores: [0.7715713381767273]
+Labels: ['Cancer']
+Scores: [0.1330987960100174]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022879214957356453]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10946306586265564]
+Labels: ['Mental Health']
+Scores: [0.06917069852352142]
+Labels: ['Diabetes type 1']
+Scores: [0.5936571359634399]
+Labels: ['Diabetes type 2']
+Scores: [0.8346766233444214]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729235
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Antioxidants', 'Plant Extracts', 'Animals', 'Hypoglycemic Agents', 'Adipogenesis', 'Mice', 'Adipocytes', 'Apoptosis', 'Asteraceae', '3T3-L1 Cells', 'alpha-Amylases', 'Cell Movement', 'Phenols', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2153761237859726]
+Labels: ['Diabetes']
+Scores: [0.4301129877567291]
+Labels: ['Cancer']
+Scores: [0.2753286361694336]
+Labels: ['Chronic respiratory disease']
+Scores: [0.30412793159484863]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3201310336589813]
+Labels: ['Mental Health']
+Scores: [0.23415710031986237]
+Labels: ['Diabetes type 1']
+Scores: [0.4489978551864624]
+Labels: ['Diabetes type 2']
+Scores: [0.5151084065437317]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39728692
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Docosahexaenoic Acids', 'Animals', 'Diabetic Retinopathy', 'Mice', 'Humans', 'Electroretinography', 'Retina', 'Tomography, Optical Coherence', 'Male', 'Middle Aged', 'Mice, Inbred C57BL', 'Female', 'Diabetes Mellitus, Experimental', 'Gas Chromatography-Mass Spectrometry', 'Real-Time Polymerase Chain Reaction', 'Diabetes Mellitus, Type 2', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6152324080467224]
+Labels: ['Diabetes']
+Scores: [0.8949320912361145]
+Labels: ['Cancer']
+Scores: [0.6076229214668274]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5674432516098022]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5540598630905151]
+Labels: ['Mental Health']
+Scores: [0.3317670226097107]
+Labels: ['Diabetes type 1']
+Scores: [0.8429399728775024]
+Labels: ['Diabetes type 2']
+Scores: [0.7897130846977234]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726656
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Israel', 'Female', 'Adolescent', 'Arabs', 'Cross-Sectional Studies', 'Jews', 'Polycystic Ovary Syndrome', 'Hypertension', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Pediatric Obesity', 'Prevalence', 'Male', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025394249707460403]
+Labels: ['Diabetes']
+Scores: [0.7342454791069031]
+Labels: ['Cancer']
+Scores: [0.027600351721048355]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0402597077190876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19802647829055786]
+Labels: ['Mental Health']
+Scores: [0.03503566235303879]
+Labels: ['Diabetes type 1']
+Scores: [0.5661777853965759]
+Labels: ['Diabetes type 2']
+Scores: [0.44965335726737976]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725431
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Prediabetic State', 'China', 'Diabetes Mellitus, Type 2', 'Randomized Controlled Trials as Topic', 'Prospective Studies', 'Single-Blind Method', 'Telemedicine', 'Multicenter Studies as Topic', 'Cost-Benefit Analysis', 'Male', 'Group Dynamics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02704145759344101]
+Labels: ['Diabetes']
+Scores: [0.36065611243247986]
+Labels: ['Cancer']
+Scores: [0.1018100455403328]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01788393035531044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06672061234712601]
+Labels: ['Mental Health']
+Scores: [0.02182612195611]
+Labels: ['Diabetes type 1']
+Scores: [0.4116107225418091]
+Labels: ['Diabetes type 2']
+Scores: [0.26810139417648315]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725366
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Cognitive Dysfunction', 'Rats', 'Gastrointestinal Microbiome', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley', 'Bile Acids and Salts', 'Hypoglycemic Agents', 'Insulin Resistance', 'Hippocampus', 'Maze Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30588433146476746]
+Labels: ['Diabetes']
+Scores: [0.8675193190574646]
+Labels: ['Cancer']
+Scores: [0.3482849597930908]
+Labels: ['Chronic respiratory disease']
+Scores: [0.40937328338623047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2715626060962677]
+Labels: ['Mental Health']
+Scores: [0.1669059693813324]
+Labels: ['Diabetes type 1']
+Scores: [0.8800361156463623]
+Labels: ['Diabetes type 2']
+Scores: [0.9010921716690063]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724976
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Colorectal Neoplasms', 'Mass Screening', 'Prostate-Specific Antigen', 'Chronic Disease', 'Male', 'Guideline Adherence', 'Prostatic Neoplasms', 'Diabetes Mellitus, Type 2', 'HIV Infections', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02640383131802082]
+Labels: ['Diabetes']
+Scores: [0.009175512008368969]
+Labels: ['Cancer']
+Scores: [0.6690200567245483]
+Labels: ['Chronic respiratory disease']
+Scores: [0.062198810279369354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1789432018995285]
+Labels: ['Mental Health']
+Scores: [0.026178833097219467]
+Labels: ['Diabetes type 1']
+Scores: [0.01357752550393343]
+Labels: ['Diabetes type 2']
+Scores: [0.014049050398170948]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723533
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Cognitive Dysfunction', 'Mice', 'Network Pharmacology', 'Molecular Docking Simulation', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Diabetes Mellitus, Experimental', 'Protein Interaction Maps', 'Hippocampus', 'Signal Transduction', 'Disease Models, Animal', 'Morris Water Maze Test']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08633965998888016]
+Labels: ['Diabetes']
+Scores: [0.7395193576812744]
+Labels: ['Cancer']
+Scores: [0.11714551597833633]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1691298484802246]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2527909576892853]
+Labels: ['Mental Health']
+Scores: [0.07166030257940292]
+Labels: ['Diabetes type 1']
+Scores: [0.552806556224823]
+Labels: ['Diabetes type 2']
+Scores: [0.481588751077652]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722814
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Homocysteine', 'Male', 'Female', 'Middle Aged', 'Neural Conduction', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Aged', 'Risk Factors', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.42484912276268005]
+Labels: ['Diabetes']
+Scores: [0.9167341589927673]
+Labels: ['Cancer']
+Scores: [0.5402722954750061]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5966072678565979]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5293796062469482]
+Labels: ['Mental Health']
+Scores: [0.37536531686782837]
+Labels: ['Diabetes type 1']
+Scores: [0.8582558035850525]
+Labels: ['Diabetes type 2']
+Scores: [0.9413553476333618]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39722811
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'COVID-19', 'Female', 'Male', 'Middle Aged', 'Risk Factors', 'Post-Acute COVID-19 Syndrome', 'Aged', 'Adult', 'Ukraine', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2061823457479477]
+Labels: ['Diabetes']
+Scores: [0.6855367422103882]
+Labels: ['Cancer']
+Scores: [0.20137886703014374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07801833748817444]
+Labels: ['Cardiovascular diseases']
+Scores: [0.48386842012405396]
+Labels: ['Mental Health']
+Scores: [0.09783677756786346]
+Labels: ['Diabetes type 1']
+Scores: [0.5443503856658936]
+Labels: ['Diabetes type 2']
+Scores: [0.7925022840499878]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721796
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Gestational Weight Gain', 'White People', 'Adult', 'Retrospective Studies', 'Pregnancy Outcome', 'Obesity', 'COVID-19', 'Pregnancy Complications', 'Black or African American', 'Health Status Disparities', 'Louisiana', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2990683615207672]
+Labels: ['Diabetes']
+Scores: [0.159092515707016]
+Labels: ['Cancer']
+Scores: [0.2556542754173279]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2590634226799011]
+Labels: ['Cardiovascular diseases']
+Scores: [0.27969783544540405]
+Labels: ['Mental Health']
+Scores: [0.2932126820087433]
+Labels: ['Diabetes type 1']
+Scores: [0.12543822824954987]
+Labels: ['Diabetes type 2']
+Scores: [0.1368221789598465]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720906
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Testosterone', 'Middle Aged', 'Aged', 'Australia', 'Risk Factors', 'Glucose Tolerance Test', 'Glycated Hemoglobin', 'Prognosis', 'Blood Glucose', 'Glucose Intolerance', 'Life Style', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06865102797746658]
+Labels: ['Diabetes']
+Scores: [0.7941845059394836]
+Labels: ['Cancer']
+Scores: [0.06388977915048599]
+Labels: ['Chronic respiratory disease']
+Scores: [0.027233026921749115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0696864053606987]
+Labels: ['Mental Health']
+Scores: [0.07018271833658218]
+Labels: ['Diabetes type 1']
+Scores: [0.7669329047203064]
+Labels: ['Diabetes type 2']
+Scores: [0.8737285733222961]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10271583497524261]
+Labels: ['Diabetes']
+Scores: [0.9028019905090332]
+Labels: ['Cancer']
+Scores: [0.08794985711574554]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01577291451394558]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06080203130841255]
+Labels: ['Mental Health']
+Scores: [0.055235736072063446]
+Labels: ['Diabetes type 1']
+Scores: [0.6539661884307861]
+Labels: ['Diabetes type 2']
+Scores: [0.48390817642211914]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033714406192302704]
+Labels: ['Diabetes']
+Scores: [0.7480111122131348]
+Labels: ['Cancer']
+Scores: [0.07780531048774719]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018048154190182686]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06166635826230049]
+Labels: ['Mental Health']
+Scores: [0.031758591532707214]
+Labels: ['Diabetes type 1']
+Scores: [0.6200462579727173]
+Labels: ['Diabetes type 2']
+Scores: [0.5180521011352539]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07171215116977692]
+Labels: ['Diabetes']
+Scores: [0.1507902294397354]
+Labels: ['Cancer']
+Scores: [0.08347326517105103]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03558932617306709]
+Labels: ['Cardiovascular diseases']
+Scores: [0.24006901681423187]
+Labels: ['Mental Health']
+Scores: [0.0637912005186081]
+Labels: ['Diabetes type 1']
+Scores: [0.16635021567344666]
+Labels: ['Diabetes type 2']
+Scores: [0.21922625601291656]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12757635116577148]
+Labels: ['Diabetes']
+Scores: [0.5219388604164124]
+Labels: ['Cancer']
+Scores: [0.09836270660161972]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1128256618976593]
+Labels: ['Cardiovascular diseases']
+Scores: [0.18787796795368195]
+Labels: ['Mental Health']
+Scores: [0.03134091943502426]
+Labels: ['Diabetes type 1']
+Scores: [0.4267301559448242]
+Labels: ['Diabetes type 2']
+Scores: [0.3146006166934967]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720247
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Insulin Resistance', 'Bile Acids and Salts', 'Medicine, Chinese Traditional', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9838634729385376]
+Labels: ['Diabetes']
+Scores: [0.9864732623100281]
+Labels: ['Cancer']
+Scores: [0.9851337671279907]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9841016530990601]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9835036396980286]
+Labels: ['Mental Health']
+Scores: [0.9820393323898315]
+Labels: ['Diabetes type 1']
+Scores: [0.986046552658081]
+Labels: ['Diabetes type 2']
+Scores: [0.9864278435707092]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39720175
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glycemic Control', 'Diabetes Mellitus, Type 2', 'Health Education', 'Glycated Hemoglobin', 'Blood Glucose', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19053249061107635]
+Labels: ['Diabetes']
+Scores: [0.1989160180091858]
+Labels: ['Cancer']
+Scores: [0.18570706248283386]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1932719200849533]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19891676306724548]
+Labels: ['Mental Health']
+Scores: [0.18380990624427795]
+Labels: ['Diabetes type 1']
+Scores: [0.19570650160312653]
+Labels: ['Diabetes type 2']
+Scores: [0.20000705122947693]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720174
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Periapical Periodontitis', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Male', 'Female', 'Middle Aged', 'Root Canal Therapy', 'Adult', 'Romania', 'Tooth, Nonvital', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5076926946640015]
+Labels: ['Diabetes']
+Scores: [0.7177928686141968]
+Labels: ['Cancer']
+Scores: [0.3954686224460602]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4045085310935974]
+Labels: ['Cardiovascular diseases']
+Scores: [0.47170084714889526]
+Labels: ['Mental Health']
+Scores: [0.30919206142425537]
+Labels: ['Diabetes type 1']
+Scores: [0.7771036624908447]
+Labels: ['Diabetes type 2']
+Scores: [0.8524235486984253]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719839
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'TNF-Related Apoptosis-Inducing Ligand', 'Diabetes Mellitus, Type 2', 'Periodontitis', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Gene Frequency', 'Genotype', 'Blood Glucose', 'Polymorphism, Genetic', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005495889112353325]
+Labels: ['Diabetes']
+Scores: [0.5293188095092773]
+Labels: ['Cancer']
+Scores: [0.04545271024107933]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01023644208908081]
+Labels: ['Cardiovascular diseases']
+Scores: [0.033019792288541794]
+Labels: ['Mental Health']
+Scores: [0.010490707121789455]
+Labels: ['Diabetes type 1']
+Scores: [0.27100658416748047]
+Labels: ['Diabetes type 2']
+Scores: [0.7658440470695496]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719724
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Synbiotics', 'Double-Blind Method', 'Male', 'Middle Aged', 'Female', 'Probiotics', 'Blood Glucose', 'Gastrointestinal Microbiome', 'Glycated Hemoglobin', 'Bifidobacterium animalis', 'Insulin Resistance', 'Treatment Outcome', 'Insulin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04564288631081581]
+Labels: ['Diabetes']
+Scores: [0.7112881541252136]
+Labels: ['Cancer']
+Scores: [0.03365760296583176]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021292271092534065]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11508800834417343]
+Labels: ['Mental Health']
+Scores: [0.025562474504113197]
+Labels: ['Diabetes type 1']
+Scores: [0.5076030492782593]
+Labels: ['Diabetes type 2']
+Scores: [0.844562292098999]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719658
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Acute Kidney Injury', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Contrast Media', 'Aged', 'Coronary Angiography', 'Propensity Score', 'Percutaneous Coronary Intervention', 'Creatinine', 'China', 'Incidence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1232539489865303]
+Labels: ['Diabetes']
+Scores: [0.4882136881351471]
+Labels: ['Cancer']
+Scores: [0.1413654088973999]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1258118450641632]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14113865792751312]
+Labels: ['Mental Health']
+Scores: [0.08021276444196701]
+Labels: ['Diabetes type 1']
+Scores: [0.5327800512313843]
+Labels: ['Diabetes type 2']
+Scores: [0.6572815179824829]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719583
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Liraglutide', 'Sodium-Glucose Transporter 2 Inhibitors', 'Network Meta-Analysis', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Treatment Outcome', 'Glucosides', 'Glycated Hemoglobin', 'Blood Glucose', 'Glucagon-Like Peptide-2 Receptor', 'Gastric Inhibitory Polypeptide', 'Tirzepatide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4836937487125397]
+Labels: ['Diabetes']
+Scores: [0.5056373476982117]
+Labels: ['Cancer']
+Scores: [0.40321823954582214]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5313236117362976]
+Labels: ['Cardiovascular diseases']
+Scores: [0.38405656814575195]
+Labels: ['Mental Health']
+Scores: [0.22944195568561554]
+Labels: ['Diabetes type 1']
+Scores: [0.6728490591049194]
+Labels: ['Diabetes type 2']
+Scores: [0.7514309883117676]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719404
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dipeptidyl-Peptidase IV Inhibitors', 'Male', 'Diabetes Mellitus, Type 2', 'Female', 'Middle Aged', 'Sodium-Glucose Transporter 2 Inhibitors', 'Retrospective Studies', 'Aged', 'Hong Kong', 'Treatment Outcome', 'Risk Factors', 'Risk Assessment', 'Myocardial Infarction', 'Thrombosis', 'Time Factors', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.032755669206380844]
+Labels: ['Diabetes']
+Scores: [0.21504361927509308]
+Labels: ['Cancer']
+Scores: [0.038052529096603394]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019966132938861847]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08202526718378067]
+Labels: ['Mental Health']
+Scores: [0.024001648649573326]
+Labels: ['Diabetes type 1']
+Scores: [0.19069181382656097]
+Labels: ['Diabetes type 2']
+Scores: [0.3300764858722687]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719391
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Blood Glucose', 'Life Style', 'Exercise', 'Aged', 'Sleep', 'Hypoglycemic Agents', 'Follow-Up Studies', 'Precision Medicine', 'Adult', 'Biomarkers', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04272519424557686]
+Labels: ['Diabetes']
+Scores: [0.8999257683753967]
+Labels: ['Cancer']
+Scores: [0.10853557288646698]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05214609578251839]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1392841339111328]
+Labels: ['Mental Health']
+Scores: [0.10188335180282593]
+Labels: ['Diabetes type 1']
+Scores: [0.8105072975158691]
+Labels: ['Diabetes type 2']
+Scores: [0.8839165568351746]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719314
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Biomarkers', 'Black or African American', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glucose Clamp Technique', 'Glucose Tolerance Test', 'Incidence', 'Insulin', 'Insulin Resistance', 'Insulin Secretion', 'Parents', 'Prediabetic State', 'Prognosis', 'Prospective Studies', 'White']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026088230311870575]
+Labels: ['Diabetes']
+Scores: [0.6606833934783936]
+Labels: ['Cancer']
+Scores: [0.026928244158625603]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019958483055233955]
+Labels: ['Cardiovascular diseases']
+Scores: [0.063735730946064]
+Labels: ['Mental Health']
+Scores: [0.04595047980546951]
+Labels: ['Diabetes type 1']
+Scores: [0.4767301380634308]
+Labels: ['Diabetes type 2']
+Scores: [0.6640716791152954]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719282
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Qualitative Research', 'Singapore', 'Telemedicine', 'Adult', 'Self Efficacy', 'Aged', 'Health Behavior', 'Asian People', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Blood Pressure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07077936828136444]
+Labels: ['Diabetes']
+Scores: [0.6207656264305115]
+Labels: ['Cancer']
+Scores: [0.02600223198533058]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010133357718586922]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10428587347269058]
+Labels: ['Mental Health']
+Scores: [0.03543609753251076]
+Labels: ['Diabetes type 1']
+Scores: [0.5482143759727478]
+Labels: ['Diabetes type 2']
+Scores: [0.48256227374076843]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.264291375875473]
+Labels: ['Diabetes']
+Scores: [0.7660350203514099]
+Labels: ['Cancer']
+Scores: [0.1340974122285843]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06556926667690277]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12708117067813873]
+Labels: ['Mental Health']
+Scores: [0.03929147869348526]
+Labels: ['Diabetes type 1']
+Scores: [0.626281201839447]
+Labels: ['Diabetes type 2']
+Scores: [0.4524701237678528]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012037140317261219]
+Labels: ['Diabetes']
+Scores: [0.8394980430603027]
+Labels: ['Cancer']
+Scores: [0.18949948251247406]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014679530635476112]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5093713998794556]
+Labels: ['Mental Health']
+Scores: [0.0314020961523056]
+Labels: ['Diabetes type 1']
+Scores: [0.6160959601402283]
+Labels: ['Diabetes type 2']
+Scores: [0.9217085242271423]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719170
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide-1 Receptor', 'Body Composition', 'Network Meta-Analysis as Topic', 'Obesity', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Receptors, Gastrointestinal Hormone', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025961829349398613]
+Labels: ['Diabetes']
+Scores: [0.00869046151638031]
+Labels: ['Cancer']
+Scores: [0.021038923412561417]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02004268579185009]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09424323588609695]
+Labels: ['Mental Health']
+Scores: [0.02542290836572647]
+Labels: ['Diabetes type 1']
+Scores: [0.011853824369609356]
+Labels: ['Diabetes type 2']
+Scores: [0.010854464955627918]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719165
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin-Secreting Cells', 'Male', 'Glucagon-Like Peptides', 'Mice', 'Gastrointestinal Microbiome', 'Mice, Inbred C57BL', 'Diabetes Mellitus, Type 2', 'Signal Transduction', 'Diabetes Mellitus, Experimental', 'Methyltransferases', 'Diet, High-Fat', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011409970000386238]
+Labels: ['Diabetes']
+Scores: [0.6396846771240234]
+Labels: ['Cancer']
+Scores: [0.07361007481813431]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01222744770348072]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15729489922523499]
+Labels: ['Mental Health']
+Scores: [0.027975687757134438]
+Labels: ['Diabetes type 1']
+Scores: [0.486943781375885]
+Labels: ['Diabetes type 2']
+Scores: [0.8116161823272705]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39718468
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptides', 'Immunoglobulin Fc Fragments', 'Liver', 'Recombinant Fusion Proteins', 'Hypoglycemic Agents', 'Adult', 'Non-alcoholic Fatty Liver Disease', 'Aged', 'Glycated Hemoglobin', 'Blood Glucose', 'Cohort Studies', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07913573086261749]
+Labels: ['Diabetes']
+Scores: [0.7213115096092224]
+Labels: ['Cancer']
+Scores: [0.07085643708705902]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02441941760480404]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20227165520191193]
+Labels: ['Mental Health']
+Scores: [0.03773492947220802]
+Labels: ['Diabetes type 1']
+Scores: [0.521469235420227]
+Labels: ['Diabetes type 2']
+Scores: [0.39236727356910706]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718016
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Intra-Abdominal Fat', 'Subcutaneous Fat', 'Transcriptome', 'Gene Expression Profiling', 'Macrophages', 'Protein Interaction Maps']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39805519580841064]
+Labels: ['Diabetes']
+Scores: [0.4044681191444397]
+Labels: ['Cancer']
+Scores: [0.38643455505371094]
+Labels: ['Chronic respiratory disease']
+Scores: [0.38598865270614624]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3802953362464905]
+Labels: ['Mental Health']
+Scores: [0.37583276629447937]
+Labels: ['Diabetes type 1']
+Scores: [0.40668854117393494]
+Labels: ['Diabetes type 2']
+Scores: [0.4059733748435974]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09592802077531815]
+Labels: ['Diabetes']
+Scores: [0.5141759514808655]
+Labels: ['Cancer']
+Scores: [0.6257779598236084]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6404783725738525]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7962475419044495]
+Labels: ['Mental Health']
+Scores: [0.25930261611938477]
+Labels: ['Diabetes type 1']
+Scores: [0.564740002155304]
+Labels: ['Diabetes type 2']
+Scores: [0.6440390348434448]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717105
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Risk Factors', 'Gastrointestinal Diseases', 'Nomograms', 'Aged', 'Hypoglycemic Agents', 'Adult', 'Prognosis', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01316428929567337]
+Labels: ['Diabetes']
+Scores: [0.007269971072673798]
+Labels: ['Cancer']
+Scores: [0.03916655108332634]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01808992028236389]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08458587527275085]
+Labels: ['Mental Health']
+Scores: [0.017042478546500206]
+Labels: ['Diabetes type 1']
+Scores: [0.003107458120211959]
+Labels: ['Diabetes type 2']
+Scores: [0.003086375305429101]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716666
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Male', 'Female', 'Middle Aged', 'Latent Class Analysis', 'Prospective Studies', 'Aged', 'Exercise', 'Adult', 'Motivation', 'Singapore', 'Educational Status', 'Life Style', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.34941932559013367]
+Labels: ['Diabetes']
+Scores: [0.9244879484176636]
+Labels: ['Cancer']
+Scores: [0.30442148447036743]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2092747688293457]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5205773115158081]
+Labels: ['Mental Health']
+Scores: [0.21353231370449066]
+Labels: ['Diabetes type 1']
+Scores: [0.8041915893554688]
+Labels: ['Diabetes type 2']
+Scores: [0.8670879602432251]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39716481
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin Resistance', 'Heat-Shock Response', 'Male', 'Diet, High-Fat', 'Mice, Inbred C57BL', 'HSP70 Heat-Shock Proteins', 'Disease Progression', 'Blood Glucose', 'Mice', 'Hot Temperature', 'Early Diagnosis', 'Diabetes Mellitus, Type 2', 'Obesity', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5634539723396301]
+Labels: ['Diabetes']
+Scores: [0.6517517566680908]
+Labels: ['Cancer']
+Scores: [0.620479166507721]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6244874000549316]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6684434413909912]
+Labels: ['Mental Health']
+Scores: [0.5978248715400696]
+Labels: ['Diabetes type 1']
+Scores: [0.6400265693664551]
+Labels: ['Diabetes type 2']
+Scores: [0.6309525370597839]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 2', 'Retinal Degeneration', 'Mice, Inbred C57BL', 'Male', 'Diabetic Retinopathy', 'Retina']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09660635143518448]
+Labels: ['Diabetes']
+Scores: [0.7844383120536804]
+Labels: ['Cancer']
+Scores: [0.20289185643196106]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07097240537405014]
+Labels: ['Cardiovascular diseases']
+Scores: [0.29311054944992065]
+Labels: ['Mental Health']
+Scores: [0.1065267026424408]
+Labels: ['Diabetes type 1']
+Scores: [0.6633520722389221]
+Labels: ['Diabetes type 2']
+Scores: [0.8312655687332153]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716328
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dementia', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Network Meta-Analysis', 'Observational Studies as Topic', 'Randomized Controlled Trials as Topic', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13519813120365143]
+Labels: ['Diabetes']
+Scores: [0.6987824440002441]
+Labels: ['Cancer']
+Scores: [0.07927314192056656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06334125995635986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12658046185970306]
+Labels: ['Mental Health']
+Scores: [0.04212351143360138]
+Labels: ['Diabetes type 1']
+Scores: [0.6342848539352417]
+Labels: ['Diabetes type 2']
+Scores: [0.7989274859428406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00922106672078371]
+Labels: ['Diabetes']
+Scores: [0.37289321422576904]
+Labels: ['Cancer']
+Scores: [0.10440274327993393]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0067810784094035625]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06501928716897964]
+Labels: ['Mental Health']
+Scores: [0.033412571996450424]
+Labels: ['Diabetes type 1']
+Scores: [0.404796838760376]
+Labels: ['Diabetes type 2']
+Scores: [0.3246441185474396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029655562713742256]
+Labels: ['Diabetes']
+Scores: [0.010936321690678596]
+Labels: ['Cancer']
+Scores: [0.0602722205221653]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023040683940052986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5969720482826233]
+Labels: ['Mental Health']
+Scores: [0.0515291653573513]
+Labels: ['Diabetes type 1']
+Scores: [0.019412294030189514]
+Labels: ['Diabetes type 2']
+Scores: [0.02088323049247265]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716230
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Gangrene', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Acupuncture, Ear', 'Wound Healing', 'Treatment Outcome', 'Amputation, Surgical', 'Acupuncture Points', 'Magnetic Field Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14913848042488098]
+Labels: ['Diabetes']
+Scores: [0.42080745100975037]
+Labels: ['Cancer']
+Scores: [0.12356267124414444]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10613632947206497]
+Labels: ['Cardiovascular diseases']
+Scores: [0.182195246219635]
+Labels: ['Mental Health']
+Scores: [0.09501781314611435]
+Labels: ['Diabetes type 1']
+Scores: [0.2750397026538849]
+Labels: ['Diabetes type 2']
+Scores: [0.2452627718448639]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716081
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ferroptosis', 'Gene Regulatory Networks', 'Genetic Predisposition to Disease', 'Genomics', 'Male', 'Diabetes Complications', 'Female', 'Gene Expression Profiling', 'Polymorphism, Single Nucleotide', 'Computational Biology', 'Genetic Association Studies', 'Multiomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13809150457382202]
+Labels: ['Diabetes']
+Scores: [0.8286899328231812]
+Labels: ['Cancer']
+Scores: [0.048606131225824356]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023643065243959427]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09356527775526047]
+Labels: ['Mental Health']
+Scores: [0.015873439610004425]
+Labels: ['Diabetes type 1']
+Scores: [0.6766641139984131]
+Labels: ['Diabetes type 2']
+Scores: [0.8994699716567993]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716056
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Bayes Theorem', 'Diabetes Mellitus, Type 2', 'Humans', 'Linear Models', 'Linkage Disequilibrium', 'Quantitative Trait Loci', 'Phenotype', 'Computer Simulation', 'Models, Genetic', 'Genome-Wide Association Study']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07156959176063538]
+Labels: ['Diabetes']
+Scores: [0.027672812342643738]
+Labels: ['Cancer']
+Scores: [0.06717599183320999]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04458732530474663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08822482079267502]
+Labels: ['Mental Health']
+Scores: [0.017329487949609756]
+Labels: ['Diabetes type 1']
+Scores: [0.02051623910665512]
+Labels: ['Diabetes type 2']
+Scores: [0.02451452985405922]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715944
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bariatric Surgery', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Glycemic Control', 'Hypoglycemic Agents', 'Obesity, Morbid', 'Recurrence', 'Remission Induction', 'Retrospective Studies', 'Treatment Outcome', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24987860023975372]
+Labels: ['Diabetes']
+Scores: [0.953429102897644]
+Labels: ['Cancer']
+Scores: [0.336883008480072]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10630395263433456]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2960203289985657]
+Labels: ['Mental Health']
+Scores: [0.09631135314702988]
+Labels: ['Diabetes type 1']
+Scores: [0.8796794414520264]
+Labels: ['Diabetes type 2']
+Scores: [0.8541988730430603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8202776312828064]
+Labels: ['Diabetes']
+Scores: [0.8351088166236877]
+Labels: ['Cancer']
+Scores: [0.8345038890838623]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8372263312339783]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8249551653862]
+Labels: ['Mental Health']
+Scores: [0.8157699108123779]
+Labels: ['Diabetes type 1']
+Scores: [0.832568883895874]
+Labels: ['Diabetes type 2']
+Scores: [0.8354370594024658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 6], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39715135
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Sulfonylurea Compounds', 'Iraq', 'Sulfonylurea Receptors', 'Case-Control Studies', 'Polymorphism, Single Nucleotide', 'Middle Aged', 'Hypoglycemic Agents', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02480948157608509]
+Labels: ['Diabetes']
+Scores: [0.8433101177215576]
+Labels: ['Cancer']
+Scores: [0.04835684224963188]
+Labels: ['Chronic respiratory disease']
+Scores: [0.019655058160424232]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1057174950838089]
+Labels: ['Mental Health']
+Scores: [0.03514709696173668]
+Labels: ['Diabetes type 1']
+Scores: [0.7358744144439697]
+Labels: ['Diabetes type 2']
+Scores: [0.9188680052757263]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39713052
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Fatty Acids, Nonesterified', 'Coronary Disease', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9520869851112366]
+Labels: ['Diabetes']
+Scores: [0.9631142616271973]
+Labels: ['Cancer']
+Scores: [0.9525489807128906]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9530726075172424]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9510934948921204]
+Labels: ['Mental Health']
+Scores: [0.938275933265686]
+Labels: ['Diabetes type 1']
+Scores: [0.9666792154312134]
+Labels: ['Diabetes type 2']
+Scores: [0.9706423282623291]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases', 'Mental Health', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 7], [0, 0]]
+---------------------------------
+---------------------------------
+PMID: 39710901
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24696959555149078]
+Labels: ['Diabetes']
+Scores: [0.305978924036026]
+Labels: ['Cancer']
+Scores: [0.24518772959709167]
+Labels: ['Chronic respiratory disease']
+Scores: [0.229357048869133]
+Labels: ['Cardiovascular diseases']
+Scores: [0.32749825716018677]
+Labels: ['Mental Health']
+Scores: [0.2405366599559784]
+Labels: ['Diabetes type 1']
+Scores: [0.35184499621391296]
+Labels: ['Diabetes type 2']
+Scores: [0.3736003339290619]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710882
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Bone Density', 'Glucagon-Like Peptide-1 Receptor', 'Absorptiometry, Photon', 'Randomized Controlled Trials as Topic', 'Body Composition', 'Diabetes Mellitus, Type 2', 'Bayes Theorem', 'Female', 'Hypoglycemic Agents', 'Male', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08796685934066772]
+Labels: ['Diabetes']
+Scores: [0.016135472804307938]
+Labels: ['Cancer']
+Scores: [0.07938820868730545]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0802885890007019]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11023898422718048]
+Labels: ['Mental Health']
+Scores: [0.0556931272149086]
+Labels: ['Diabetes type 1']
+Scores: [0.01689738780260086]
+Labels: ['Diabetes type 2']
+Scores: [0.017555199563503265]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710722
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Middle Aged', 'Seasons', 'Aged', 'Metabolic Diseases', 'Calcifediol', 'Prospective Studies', 'Adult', 'Renal Insufficiency, Chronic', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11854135990142822]
+Labels: ['Diabetes']
+Scores: [0.6122463345527649]
+Labels: ['Cancer']
+Scores: [0.1523108184337616]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13854451477527618]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17749404907226562]
+Labels: ['Mental Health']
+Scores: [0.05862616002559662]
+Labels: ['Diabetes type 1']
+Scores: [0.5126985311508179]
+Labels: ['Diabetes type 2']
+Scores: [0.6484065055847168]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710638
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Risk Factors', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Young Adult', 'Diabetes Mellitus, Type 2', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027558118104934692]
+Labels: ['Diabetes']
+Scores: [0.8023390173912048]
+Labels: ['Cancer']
+Scores: [0.18209823966026306]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01786593161523342]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10278590768575668]
+Labels: ['Mental Health']
+Scores: [0.05890580266714096]
+Labels: ['Diabetes type 1']
+Scores: [0.5187763571739197]
+Labels: ['Diabetes type 2']
+Scores: [0.38658851385116577]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09559675306081772]
+Labels: ['Diabetes']
+Scores: [0.5658614635467529]
+Labels: ['Cancer']
+Scores: [0.07449796795845032]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12096387892961502]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2955518662929535]
+Labels: ['Mental Health']
+Scores: [0.11271249502897263]
+Labels: ['Diabetes type 1']
+Scores: [0.553074300289154]
+Labels: ['Diabetes type 2']
+Scores: [0.5077980160713196]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710013
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Case-Control Studies', 'Female', 'Male', 'Adolescent', 'Pediatric Obesity', 'Feces', 'Diabetes Mellitus, Type 2', 'Birth Cohort', 'Bacteroides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0768294483423233]
+Labels: ['Diabetes']
+Scores: [0.029986560344696045]
+Labels: ['Cancer']
+Scores: [0.07196904718875885]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06344548612833023]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13504944741725922]
+Labels: ['Mental Health']
+Scores: [0.08284084498882294]
+Labels: ['Diabetes type 1']
+Scores: [0.014883692376315594]
+Labels: ['Diabetes type 2']
+Scores: [0.014190565794706345]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710002
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Genome-Wide Association Study', 'Frailty', 'Genetic Pleiotropy', 'Muscle, Skeletal', 'Comorbidity', 'Polymorphism, Single Nucleotide', 'Female', 'Male', 'Phenotype', 'Aged', 'Genetic Predisposition to Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024588167667388916]
+Labels: ['Diabetes']
+Scores: [0.7601479291915894]
+Labels: ['Cancer']
+Scores: [0.11919116228818893]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08039446920156479]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1137656718492508]
+Labels: ['Mental Health']
+Scores: [0.037037573754787445]
+Labels: ['Diabetes type 1']
+Scores: [0.7815991044044495]
+Labels: ['Diabetes type 2']
+Scores: [0.9126628041267395]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Cognition', 'Cognitive Dysfunction', 'Diabetes Mellitus, Type 2', 'Dipeptidyl-Peptidase IV Inhibitors', 'Drug Therapy, Combination', 'Hypoglycemic Agents', 'Metabolomics', 'Metformin', 'Prospective Studies', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5012671947479248]
+Labels: ['Diabetes']
+Scores: [0.49632853269577026]
+Labels: ['Cancer']
+Scores: [0.4710104167461395]
+Labels: ['Chronic respiratory disease']
+Scores: [0.509105384349823]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4975336492061615]
+Labels: ['Mental Health']
+Scores: [0.468330979347229]
+Labels: ['Diabetes type 1']
+Scores: [0.49543774127960205]
+Labels: ['Diabetes type 2']
+Scores: [0.4975683391094208]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709924
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'Diet, High-Fat', 'Male', 'Kidney', 'Diabetic Nephropathies', 'Gastrointestinal Microbiome', 'Dysbiosis', 'Isothiocyanates', 'Humans', 'Mice, Inbred C57BL', 'Protective Agents', 'Blood Glucose', 'Streptozocin', 'Sulfoxides', 'Diabetes Mellitus, Type 2', 'Raphanus', 'Oxidative Stress', 'Bacteria', 'Superoxide Dismutase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1350613683462143]
+Labels: ['Diabetes']
+Scores: [0.1512380838394165]
+Labels: ['Cancer']
+Scores: [0.13757571578025818]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12840746343135834]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12850795686244965]
+Labels: ['Mental Health']
+Scores: [0.1392662674188614]
+Labels: ['Diabetes type 1']
+Scores: [0.15106327831745148]
+Labels: ['Diabetes type 2']
+Scores: [0.1497948318719864]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12385782599449158]
+Labels: ['Diabetes']
+Scores: [0.03773553669452667]
+Labels: ['Cancer']
+Scores: [0.8027157783508301]
+Labels: ['Chronic respiratory disease']
+Scores: [0.043369658291339874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.904863715171814]
+Labels: ['Mental Health']
+Scores: [0.07474669069051743]
+Labels: ['Diabetes type 1']
+Scores: [0.06361103802919388]
+Labels: ['Diabetes type 2']
+Scores: [0.042623430490493774]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709519
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Polycystic Ovary Syndrome', 'Female', 'MicroRNAs', 'Biomarkers', 'Metabolic Diseases', 'Insulin Resistance', 'Non-alcoholic Fatty Liver Disease', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4577334523200989]
+Labels: ['Diabetes']
+Scores: [0.5055816173553467]
+Labels: ['Cancer']
+Scores: [0.49984148144721985]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5019845366477966]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49994656443595886]
+Labels: ['Mental Health']
+Scores: [0.4685153663158417]
+Labels: ['Diabetes type 1']
+Scores: [0.5208469033241272]
+Labels: ['Diabetes type 2']
+Scores: [0.5282052159309387]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27140235900878906]
+Labels: ['Diabetes']
+Scores: [0.7990003228187561]
+Labels: ['Cancer']
+Scores: [0.3489411175251007]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3237360715866089]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9202929735183716]
+Labels: ['Mental Health']
+Scores: [0.12677648663520813]
+Labels: ['Diabetes type 1']
+Scores: [0.7322345972061157]
+Labels: ['Diabetes type 2']
+Scores: [0.7970484495162964]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709342
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Aged', 'Blood Glucose', 'Chronic Pain', 'Middle Aged', 'Pain Measurement', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.041985973715782166]
+Labels: ['Diabetes']
+Scores: [0.7115218043327332]
+Labels: ['Cancer']
+Scores: [0.0404476672410965]
+Labels: ['Chronic respiratory disease']
+Scores: [0.055966198444366455]
+Labels: ['Cardiovascular diseases']
+Scores: [0.20083458721637726]
+Labels: ['Mental Health']
+Scores: [0.02652556076645851]
+Labels: ['Diabetes type 1']
+Scores: [0.6511287689208984]
+Labels: ['Diabetes type 2']
+Scores: [0.8838332891464233]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06881207972764969]
+Labels: ['Diabetes']
+Scores: [0.034104712307453156]
+Labels: ['Cancer']
+Scores: [0.06614290177822113]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05889526754617691]
+Labels: ['Cardiovascular diseases']
+Scores: [0.28980445861816406]
+Labels: ['Mental Health']
+Scores: [0.03466670215129852]
+Labels: ['Diabetes type 1']
+Scores: [0.027372874319553375]
+Labels: ['Diabetes type 2']
+Scores: [0.030362920835614204]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+Time to classify all articles: 264.2400939464569 seconds
+Result confusion matrix: [[372, 821], [597, 4610]]
+True Positive Rate (TPR): 0.38390092879256965
+True Negative Rate (TNR): 0.8488307862272142
+Precision: 0.31181894383906117
diff --git a/model/results/zero_shot/v1/facebook-bart_large_mnli.txt b/model/results/zero_shot/v1/facebook-bart_large_mnli.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95e3fdc2f38ef6153bd6feb2689ff0d059839972
--- /dev/null
+++ b/model/results/zero_shot/v1/facebook-bart_large_mnli.txt
@@ -0,0 +1,20009 @@
+---------------------------------
+MODEL: facebook/bart-large-mnli
+TRESHOLD: 0.7
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.969482958316803]
+Labels: ['Diabetes']
+Scores: [0.41653287410736084]
+Labels: ['Cancer']
+Scores: [0.28235796093940735]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5568214058876038]
+Labels: ['Cardiovascular diseases']
+Scores: [0.43890973925590515]
+Labels: ['Mental Health']
+Scores: [0.24070675671100616]
+Labels: ['Diabetes type 1']
+Scores: [0.500124454498291]
+Labels: ['Diabetes type 2']
+Scores: [0.600440263748169]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737504
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Stem Cell Transplantation', 'Cell- and Tissue-Based Therapy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2678142786026001]
+Labels: ['Diabetes']
+Scores: [0.1768258810043335]
+Labels: ['Cancer']
+Scores: [0.22358453273773193]
+Labels: ['Chronic respiratory disease']
+Scores: [0.29481422901153564]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16808103024959564]
+Labels: ['Mental Health']
+Scores: [0.13924403488636017]
+Labels: ['Diabetes type 1']
+Scores: [0.23624016344547272]
+Labels: ['Diabetes type 2']
+Scores: [0.24434523284435272]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736607
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors', 'Employment', 'Socioeconomic Factors', 'Poverty', 'Universal Health Insurance', 'Cost of Illness']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9857779741287231]
+Labels: ['Diabetes']
+Scores: [0.08755815774202347]
+Labels: ['Cancer']
+Scores: [0.02950666844844818]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11620283126831055]
+Labels: ['Cardiovascular diseases']
+Scores: [0.100056491792202]
+Labels: ['Mental Health']
+Scores: [0.0047126212157309055]
+Labels: ['Diabetes type 1']
+Scores: [0.0973173975944519]
+Labels: ['Diabetes type 2']
+Scores: [0.09809304028749466]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732655
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Machine Learning', 'Bias', 'Population Health', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9955757260322571]
+Labels: ['Diabetes']
+Scores: [0.06459814310073853]
+Labels: ['Cancer']
+Scores: [0.031080221757292747]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13294106721878052]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028179286047816277]
+Labels: ['Mental Health']
+Scores: [0.006267081946134567]
+Labels: ['Diabetes type 1']
+Scores: [0.10625504702329636]
+Labels: ['Diabetes type 2']
+Scores: [0.10273846238851547]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731009
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Republic of Korea', 'Male', 'Female', 'Middle Aged', 'Longitudinal Studies', 'Noncommunicable Diseases', 'Exercise', 'Employment', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.952420711517334]
+Labels: ['Diabetes']
+Scores: [0.05045492574572563]
+Labels: ['Cancer']
+Scores: [0.019578194245696068]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10786031931638718]
+Labels: ['Cardiovascular diseases']
+Scores: [0.036159057170152664]
+Labels: ['Mental Health']
+Scores: [0.0030180243775248528]
+Labels: ['Diabetes type 1']
+Scores: [0.058135781437158585]
+Labels: ['Diabetes type 2']
+Scores: [0.06129191070795059]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725416
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'New Zealand', 'Cross-Sectional Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Adult', 'Comorbidity', 'Censuses', 'Adolescent', 'Young Adult', 'Aged, 80 and over', 'Prevalence', 'Child', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9564191699028015]
+Labels: ['Diabetes']
+Scores: [0.06352003663778305]
+Labels: ['Cancer']
+Scores: [0.017386343330144882]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05996819958090782]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018507448956370354]
+Labels: ['Mental Health']
+Scores: [0.0148189477622509]
+Labels: ['Diabetes type 1']
+Scores: [0.061379559338092804]
+Labels: ['Diabetes type 2']
+Scores: [0.05195637047290802]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722627
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Sugar-Sweetened Beverages', 'Taxes', 'Tobacco Products', 'Mediterranean Region', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.991070032119751]
+Labels: ['Diabetes']
+Scores: [0.7121358513832092]
+Labels: ['Cancer']
+Scores: [0.4381723999977112]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3236519396305084]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8712657690048218]
+Labels: ['Mental Health']
+Scores: [0.02110579051077366]
+Labels: ['Diabetes type 1']
+Scores: [0.1170305609703064]
+Labels: ['Diabetes type 2']
+Scores: [0.7568556070327759]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709790
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['NF-E2-Related Factor 2', 'Humans', 'Animals', 'Noncommunicable Diseases', 'Oxidative Stress', 'Reactive Oxygen Species', 'Oxidation-Reduction', 'Disease Models, Animal', 'Inflammation', 'Gene Expression Regulation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9681826233863831]
+Labels: ['Diabetes']
+Scores: [0.06132259592413902]
+Labels: ['Cancer']
+Scores: [0.010947252623736858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15872009098529816]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0506768561899662]
+Labels: ['Mental Health']
+Scores: [0.021698758006095886]
+Labels: ['Diabetes type 1']
+Scores: [0.09139502793550491]
+Labels: ['Diabetes type 2']
+Scores: [0.07704674452543259]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702198
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'India', 'Middle Aged', 'Aged, 80 and over', 'Noncommunicable Diseases', 'Cost of Illness', 'Disability-Adjusted Life Years', 'Sex Factors', 'Age Factors', 'Global Burden of Disease', 'Wounds and Injuries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19927632808685303]
+Labels: ['Diabetes']
+Scores: [0.10048621892929077]
+Labels: ['Cancer']
+Scores: [0.07280435413122177]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16440053284168243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13055242598056793]
+Labels: ['Mental Health']
+Scores: [0.007790594361722469]
+Labels: ['Diabetes type 1']
+Scores: [0.12874069809913635]
+Labels: ['Diabetes type 2']
+Scores: [0.1269342601299286]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699459
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Brazil', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Chronic Disease', 'Noncommunicable Diseases', 'Prevalence', 'Health Surveys', 'Young Adult', 'Adolescent', 'Sex Distribution', 'Socioeconomic Factors', 'Cost of Illness', 'Multimorbidity', 'Sociodemographic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9814112782478333]
+Labels: ['Diabetes']
+Scores: [0.2155853658914566]
+Labels: ['Cancer']
+Scores: [0.09582830965518951]
+Labels: ['Chronic respiratory disease']
+Scores: [0.47763359546661377]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2740251421928406]
+Labels: ['Mental Health']
+Scores: [0.014159944839775562]
+Labels: ['Diabetes type 1']
+Scores: [0.22430497407913208]
+Labels: ['Diabetes type 2']
+Scores: [0.2480732500553131]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697299
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Multimorbidity', 'Noncommunicable Diseases', 'Health Expenditures', 'Prevalence', 'Aged', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9784144759178162]
+Labels: ['Diabetes']
+Scores: [0.09015819430351257]
+Labels: ['Cancer']
+Scores: [0.04467549920082092]
+Labels: ['Chronic respiratory disease']
+Scores: [0.370705246925354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06846019625663757]
+Labels: ['Mental Health']
+Scores: [0.0014798663323745131]
+Labels: ['Diabetes type 1']
+Scores: [0.10359235852956772]
+Labels: ['Diabetes type 2']
+Scores: [0.12294048070907593]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696316
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Thailand', 'Humans', 'Noncommunicable Diseases', 'Stakeholder Participation', 'Health Policy', 'Sustainable Development', 'Intersectoral Collaboration', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9853379726409912]
+Labels: ['Diabetes']
+Scores: [0.10412725806236267]
+Labels: ['Cancer']
+Scores: [0.06974779814481735]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14519362151622772]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09276457875967026]
+Labels: ['Mental Health']
+Scores: [0.12073277682065964]
+Labels: ['Diabetes type 1']
+Scores: [0.11825684458017349]
+Labels: ['Diabetes type 2']
+Scores: [0.12424889206886292]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696309
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Middle Aged', 'Adult', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Aged', 'Risk Factors', 'Adolescent', 'Young Adult', 'Cabo Verde', 'Prediabetic State', 'Noncommunicable Diseases', 'World Health Organization', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33604463934898376]
+Labels: ['Diabetes']
+Scores: [0.42491379380226135]
+Labels: ['Cancer']
+Scores: [7.354167610174045e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013209061580710113]
+Labels: ['Cardiovascular diseases']
+Scores: [9.341374243376777e-05]
+Labels: ['Mental Health']
+Scores: [0.00010763976024463773]
+Labels: ['Diabetes type 1']
+Scores: [0.029171576723456383]
+Labels: ['Diabetes type 2']
+Scores: [0.05992099270224571]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9793628454208374]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.03388680890202522]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0705532431602478]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023568790405988693]
+Labels: ['Mental Health']
+Scores: [0.93864506483078]
+Labels: ['Diabetes type 1']
+Scores: [0.05790811777114868]
+Labels: ['Diabetes type 2']
+Scores: [0.06999552994966507]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693027
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Melatonin', 'Humans', 'Animals', 'Antioxidants', 'Noncommunicable Diseases', 'Circadian Rhythm', 'Cytoprotection', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9941534399986267]
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+Labels: ['Cancer']
+Scores: [0.38708779215812683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5425171852111816]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7370566129684448]
+Labels: ['Mental Health']
+Scores: [0.1666683852672577]
+Labels: ['Diabetes type 1']
+Scores: [0.41437938809394836]
+Labels: ['Diabetes type 2']
+Scores: [0.40553468465805054]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683555
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Female', 'Italy', 'Exercise', 'Feeding Behavior', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Knowledge, Attitudes, Practice', 'Young Adult', 'Child', 'Adolescent Behavior', 'Surveys and Questionnaires', 'Health Risk Behaviors', 'Risk-Taking', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9705069065093994]
+Labels: ['Diabetes']
+Scores: [0.018479429185390472]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.010203869082033634]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007128595374524593]
+Labels: ['Mental Health']
+Scores: [0.0007919807103462517]
+Labels: ['Diabetes type 1']
+Scores: [0.03099708817899227]
+Labels: ['Diabetes type 2']
+Scores: [0.04487460106611252]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Middle Aged', 'Adult', 'Aged', 'Iran', 'Economic Status', 'Cluster Analysis', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9750432968139648]
+Labels: ['Diabetes']
+Scores: [0.09892662614583969]
+Labels: ['Cancer']
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+Scores: [0.2044742852449417]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.013937080278992653]
+Labels: ['Diabetes type 1']
+Scores: [0.11257368326187134]
+Labels: ['Diabetes type 2']
+Scores: [0.09566356241703033]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671524
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Exercise', 'Comorbidity', 'Noncommunicable Diseases', 'SARS-CoV-2', 'Self Report', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8952757120132446]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.12528865039348602]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04185737669467926]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39662975
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Argentina', 'Noncommunicable Diseases', 'Primary Health Care', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Delivery of Health Care', 'Focus Groups', 'Adult', 'Aged', 'Disease Management', 'Health Services Accessibility', 'Needs Assessment', 'Diabetes Mellitus, Type 2', 'Delphi Technique']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.010509631596505642]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.19184181094169617]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39662129
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Argentina', 'Body Mass Index', 'Male', 'Female', 'Noncommunicable Diseases', 'Adult', 'Middle Aged', 'Obesity', 'Aged', 'Cost of Illness', 'Risk Assessment', 'Overweight']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9939061403274536]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.062393564730882645]
+Labels: ['Diabetes type 2']
+Scores: [0.06221934035420418]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39658798
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Translational Research, Biomedical', 'Humans', 'Ethiopia', 'Capacity Building', 'Decision Making', 'Research Personnel', 'Public Health', 'Malawi', 'Uganda', 'Noncommunicable Diseases', 'Cooperative Behavior', 'South Africa', 'Delivery of Health Care', 'Africa', 'Rwanda', 'Administrative Personnel', 'Focus Groups', 'Surveys and Questionnaires', 'Evidence-Based Practice', 'Qualitative Research', 'Health Policy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17156918346881866]
+Labels: ['Diabetes']
+Scores: [0.026466036215424538]
+Labels: ['Cancer']
+Scores: [0.0071602994576096535]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07589151710271835]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00803828239440918]
+Labels: ['Mental Health']
+Scores: [0.014034000225365162]
+Labels: ['Diabetes type 1']
+Scores: [0.0395030751824379]
+Labels: ['Diabetes type 2']
+Scores: [0.039782602339982986]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39655600
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'White People', 'Female', 'Male', 'Middle Aged', 'Aged', 'Noncommunicable Diseases', 'Risk Factors', 'Black People', 'Africa South of the Sahara', 'Europe', 'Renal Insufficiency, Chronic', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9197130799293518]
+Labels: ['Diabetes']
+Scores: [0.0075659905560314655]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.009074158035218716]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008388482965528965]
+Labels: ['Mental Health']
+Scores: [0.010663235560059547]
+Labels: ['Diabetes type 1']
+Scores: [0.009728661738336086]
+Labels: ['Diabetes type 2']
+Scores: [0.008915678597986698]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653570
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Medication Adherence', 'Thailand', 'Islam', 'Middle Aged', 'Noncommunicable Diseases', 'Rural Population', 'Adult', 'Focus Groups', 'Qualitative Research', 'Aged', 'Health Knowledge, Attitudes, Practice', 'Southeast Asian People', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9822496771812439]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.19888386130332947]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011186509393155575]
+Labels: ['Mental Health']
+Scores: [0.019028956070542336]
+Labels: ['Diabetes type 1']
+Scores: [0.24385607242584229]
+Labels: ['Diabetes type 2']
+Scores: [0.27325597405433655]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39653567
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Developing Countries', 'Noncommunicable Diseases', 'Research Design', 'Stakeholder Participation', 'Implementation Science', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.990953266620636]
+Labels: ['Diabetes']
+Scores: [0.11549372971057892]
+Labels: ['Cancer']
+Scores: [0.003277692710980773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.060257624834775925]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015109912492334843]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.10259456932544708]
+Labels: ['Diabetes type 2']
+Scores: [0.10704641044139862]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39645277
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Chronic Disease', 'Diet, Western', 'Gastrointestinal Microbiome', 'Inflammation', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9802835583686829]
+Labels: ['Diabetes']
+Scores: [0.07484185695648193]
+Labels: ['Cancer']
+Scores: [0.014004476368427277]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10848793387413025]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012069704942405224]
+Labels: ['Mental Health']
+Scores: [0.0047523342072963715]
+Labels: ['Diabetes type 1']
+Scores: [0.10805664956569672]
+Labels: ['Diabetes type 2']
+Scores: [0.11651265621185303]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644320
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delivery of Health Care', 'Russia', 'Primary Health Care', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9190438985824585]
+Labels: ['Diabetes']
+Scores: [0.08478893339633942]
+Labels: ['Cancer']
+Scores: [0.05317297577857971]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13499531149864197]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.16788992285728455]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.08304654806852341]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39644303
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Exercise', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9844115376472473]
+Labels: ['Diabetes']
+Scores: [0.2958725094795227]
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+Labels: ['Chronic respiratory disease']
+Scores: [0.10168129205703735]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.7344563007354736]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.19500747323036194]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39632114
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Delphi Technique', 'Precision Medicine', 'Noncommunicable Diseases', 'Consensus', 'Female', 'Australia', 'Pregnancy', 'Adult', 'Male', 'Mass Screening', 'Middle Aged', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.979549765586853]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625743
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Surveys and Questionnaires', 'Reproducibility of Results', 'Multicenter Studies as Topic', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9729969501495361]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622542
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Kenya', 'Food Insecurity', 'Male', 'Female', 'HIV Infections', 'Adult', 'Health Services Accessibility', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Middle Aged', 'Comorbidity', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39613439
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Systematic Reviews as Topic', 'Sedentary Behavior', 'Meta-Analysis as Topic', 'Prevalence', 'Risk Factors', 'Exercise', 'Adult', 'Africa, Eastern', 'Research Design', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0756431519985199]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39602608
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Mexico', 'Cost of Illness', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Healthy Aging', 'Mortality', 'Life Expectancy', 'Prevalence', 'Incidence', 'Humans', 'Male', 'Female', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Delivery of Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595773
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Tanzania', 'Humans', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Adult', 'Rural Population', 'Aged', 'Young Adult', 'Politics', 'Adolescent', 'Treatment Adherence and Compliance', 'Patient Compliance']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39595772
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Refugees', 'Male', 'Female', 'Risk Factors', 'Adult', 'Portugal', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Young Adult', 'Prevalence', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.978603720664978]
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39592985
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Pregnancy', 'Noncommunicable Diseases', 'Middle Aged', 'Prospective Studies', 'Adolescent', 'Male', 'Young Adult', 'Aged', 'Multimorbidity', 'Prenatal Exposure Delayed Effects', 'Aged, 80 and over', 'Smoking', 'Chronic Disease']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39592160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Exercise', 'Aged', 'Noncommunicable Diseases', 'Randomized Controlled Trials as Topic', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9857377409934998]
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39589015
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Male', 'Female', 'South Africa', 'Longitudinal Studies', 'Adult', 'Middle Aged', 'Depressive Disorder, Major', 'Communicable Diseases', 'Mediation Analysis', 'Comorbidity', 'Causality', 'Aged', 'Monte Carlo Method', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39584432
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Noncommunicable Diseases', 'Digital Technology', 'Middle East', 'Telemedicine', 'Mediterranean Region', 'Pandemics', 'SARS-CoV-2', 'Delivery of Health Care']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39563350
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'England', 'Adult', 'Male', 'Middle Aged', 'Schools', 'Female', 'Obesity', 'Public Health', 'Fast Foods', 'Body Mass Index', 'Cross-Sectional Studies', 'Health Care Costs', 'Restaurants', 'Noncommunicable Diseases', 'Quality-Adjusted Life Years', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552939
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Noncommunicable Diseases', 'HIV Infections', 'Delivery of Health Care, Integrated']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39552340
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Qualitative Research', 'Health Policy', 'Policy Making', 'Stakeholder Participation', 'Interviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9866378903388977]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.38538771867752075]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39548534
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ghana', 'Noncommunicable Diseases', 'Health Policy', 'World Health Organization', 'Focus Groups', 'Stakeholder Participation', 'Policy Making', 'Administrative Personnel', 'Qualitative Research', 'Public Health', 'Health Promotion', 'Health Plan Implementation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9955697655677795]
+Labels: ['Diabetes']
+Scores: [0.12889350950717926]
+Labels: ['Cancer']
+Scores: [0.07919435203075409]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14048916101455688]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1532873958349228]
+Labels: ['Mental Health']
+Scores: [0.010555614717304707]
+Labels: ['Diabetes type 1']
+Scores: [0.1569707989692688]
+Labels: ['Diabetes type 2']
+Scores: [0.17046575248241425]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39541160
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Primary Health Care', 'Female', 'Male', 'Hypertension', 'Noncommunicable Diseases', 'Diabetes Mellitus, Type 2', 'Ghana', 'Adult', 'Middle Aged', 'Delivery of Health Care, Integrated', 'Quality Improvement', 'Depression', 'Mental Health Services', 'Anxiety', 'Mental Disorders', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.993995189666748]
+Labels: ['Diabetes']
+Scores: [0.08500129729509354]
+Labels: ['Cancer']
+Scores: [0.08086266368627548]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14323511719703674]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007454221136868]
+Labels: ['Mental Health']
+Scores: [0.9853878021240234]
+Labels: ['Diabetes type 1']
+Scores: [0.11337609589099884]
+Labels: ['Diabetes type 2']
+Scores: [0.11527130007743835]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39530940
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Risk Factors', 'Cardiovascular Diseases', 'Secondary Prevention']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.986966073513031]
+Labels: ['Diabetes']
+Scores: [0.19327412545681]
+Labels: ['Cancer']
+Scores: [0.05882897600531578]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5068332552909851]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9265921711921692]
+Labels: ['Mental Health']
+Scores: [0.07527194172143936]
+Labels: ['Diabetes type 1']
+Scores: [0.1513063758611679]
+Labels: ['Diabetes type 2']
+Scores: [0.14227008819580078]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39522888
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'China', 'Noncommunicable Diseases', 'Aged', 'Middle Aged', 'Male', 'Female', 'Incidence', 'Aged, 80 and over', 'Disability-Adjusted Life Years', 'Health Priorities', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9877229928970337]
+Labels: ['Diabetes']
+Scores: [0.04044073075056076]
+Labels: ['Cancer']
+Scores: [0.024662993848323822]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7969541549682617]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7573546171188354]
+Labels: ['Mental Health']
+Scores: [0.5247015953063965]
+Labels: ['Diabetes type 1']
+Scores: [0.0814899429678917]
+Labels: ['Diabetes type 2']
+Scores: [0.08195824176073074]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39515219
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Body Mass Index', 'Child', 'Female', 'Pediatric Obesity', 'Victoria', 'COVID-19', 'Health Behavior', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14959099888801575]
+Labels: ['Diabetes']
+Scores: [0.024203691631555557]
+Labels: ['Cancer']
+Scores: [0.003437407547608018]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02005220577120781]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005807066801935434]
+Labels: ['Mental Health']
+Scores: [0.13842973113059998]
+Labels: ['Diabetes type 1']
+Scores: [0.027118809521198273]
+Labels: ['Diabetes type 2']
+Scores: [0.02969171106815338]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39514466
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Exercise', 'Noncommunicable Diseases', 'Health Promotion', 'Healthy Lifestyle', 'Perception', 'Life Style']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9477500915527344]
+Labels: ['Diabetes']
+Scores: [0.07669153064489365]
+Labels: ['Cancer']
+Scores: [0.017054801806807518]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12756116688251495]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02931210957467556]
+Labels: ['Mental Health']
+Scores: [0.0033686019014567137]
+Labels: ['Diabetes type 1']
+Scores: [0.12844409048557281]
+Labels: ['Diabetes type 2']
+Scores: [0.12644800543785095]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39511525
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Behavior Therapy', 'Health Promotion', 'Life Style', 'Noncommunicable Diseases', 'Systematic Reviews as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9816757440567017]
+Labels: ['Diabetes']
+Scores: [0.03638104349374771]
+Labels: ['Cancer']
+Scores: [0.003681968431919813]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026732921600341797]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015719758346676826]
+Labels: ['Mental Health']
+Scores: [0.0002734427689574659]
+Labels: ['Diabetes type 1']
+Scores: [0.0385064035654068]
+Labels: ['Diabetes type 2']
+Scores: [0.05069739744067192]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39496368
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Dyslipidemias', 'Adult', 'Cross-Sectional Studies', 'Aged', 'Prevalence', 'Sex Factors', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Cohort Studies', 'Age Factors', 'Social Class', 'Health Status Disparities', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9895455837249756]
+Labels: ['Diabetes']
+Scores: [0.04694441705942154]
+Labels: ['Cancer']
+Scores: [0.0035332089755684137]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07601957023143768]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49062156677246094]
+Labels: ['Mental Health']
+Scores: [0.0015264706453308463]
+Labels: ['Diabetes type 1']
+Scores: [0.0820503681898117]
+Labels: ['Diabetes type 2']
+Scores: [0.10119131952524185]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494478
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Risk Factors', 'Cardiovascular Diseases', 'Periodontal Diseases', 'Periodontitis', 'Disease Susceptibility', 'Noncommunicable Diseases', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.7773416042327881]
+Labels: ['Diabetes']
+Scores: [0.3420325815677643]
+Labels: ['Cancer']
+Scores: [0.029627861455082893]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8954059481620789]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8702061772346497]
+Labels: ['Mental Health']
+Scores: [0.07532981783151627]
+Labels: ['Diabetes type 1']
+Scores: [0.3690430819988251]
+Labels: ['Diabetes type 2']
+Scores: [0.38312390446662903]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39478581
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Male', 'Exercise', 'Female', 'Middle Aged', 'Young Adult', 'Africa', 'Adolescent', 'Aged', 'Socioeconomic Factors', 'Noncommunicable Diseases', 'Leisure Activities', 'Sociodemographic Factors', 'Surveys and Questionnaires', 'Sex Factors', 'Educational Status']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07695136964321136]
+Labels: ['Diabetes']
+Scores: [0.11924566328525543]
+Labels: ['Cancer']
+Scores: [0.021652095019817352]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16628943383693695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.21153701841831207]
+Labels: ['Mental Health']
+Scores: [0.21997225284576416]
+Labels: ['Diabetes type 1']
+Scores: [0.11070974171161652]
+Labels: ['Diabetes type 2']
+Scores: [0.1095084622502327]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39478517
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Prospective Studies', 'Diet', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9357611536979675]
+Labels: ['Diabetes']
+Scores: [0.08144235610961914]
+Labels: ['Cancer']
+Scores: [0.0027380797546356916]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19234558939933777]
+Labels: ['Cardiovascular diseases']
+Scores: [0.39594945311546326]
+Labels: ['Mental Health']
+Scores: [0.0005292986752465367]
+Labels: ['Diabetes type 1']
+Scores: [0.06499698758125305]
+Labels: ['Diabetes type 2']
+Scores: [0.09963776916265488]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39460821
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ukraine', 'Retrospective Studies', 'Aged', 'Persons with Disabilities', 'Male', 'Female', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over', 'Cardiovascular Diseases', 'Armed Conflicts', 'Neoplasms', 'Eastern European People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.889352023601532]
+Labels: ['Diabetes']
+Scores: [0.026030458509922028]
+Labels: ['Cancer']
+Scores: [0.17701338231563568]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1209518313407898]
+Labels: ['Cardiovascular diseases']
+Scores: [0.35756590962409973]
+Labels: ['Mental Health']
+Scores: [0.0013048218097537756]
+Labels: ['Diabetes type 1']
+Scores: [0.10283038020133972]
+Labels: ['Diabetes type 2']
+Scores: [0.117232546210289]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39458499
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Liver Diseases', 'Probiotics', 'Chronic Disease', 'Noncommunicable Diseases', 'Risk Factors', 'Dietary Fiber', 'Polyphenols', 'Food Ingredients', 'Diet', 'Spices', 'Fatty Acids, Omega-3', 'Dietary Supplements']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9828878045082092]
+Labels: ['Diabetes']
+Scores: [0.0034997055772691965]
+Labels: ['Cancer']
+Scores: [0.027279164642095566]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002722489007283002]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010109232971444726]
+Labels: ['Mental Health']
+Scores: [0.0015840338310226798]
+Labels: ['Diabetes type 1']
+Scores: [0.00612019095569849]
+Labels: ['Diabetes type 2']
+Scores: [0.00705802021548152]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39458490
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Biodiversity', 'One Health', 'Diet, Healthy', 'Interdisciplinary Research', 'Noncommunicable Diseases', 'Diet, Vegetarian', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9360336661338806]
+Labels: ['Diabetes']
+Scores: [0.04866138473153114]
+Labels: ['Cancer']
+Scores: [0.015879590064287186]
+Labels: ['Chronic respiratory disease']
+Scores: [0.057751938700675964]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03409230336546898]
+Labels: ['Mental Health']
+Scores: [0.0022459831088781357]
+Labels: ['Diabetes type 1']
+Scores: [0.05951530486345291]
+Labels: ['Diabetes type 2']
+Scores: [0.06019485369324684]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39458487
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Bibliometrics', 'Humans', 'Food Labeling', 'Beverages', 'Global Health', 'Nutrition Policy', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03401518985629082]
+Labels: ['Diabetes']
+Scores: [0.0184800885617733]
+Labels: ['Cancer']
+Scores: [0.007128578145056963]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024078311398625374]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013502709567546844]
+Labels: ['Mental Health']
+Scores: [0.00291794678196311]
+Labels: ['Diabetes type 1']
+Scores: [0.045690249651670456]
+Labels: ['Diabetes type 2']
+Scores: [0.048663947731256485]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39449123
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Life Style', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Inflammatory Bowel Diseases', 'Adult', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Inflammation', 'Age of Onset', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.997196614742279]
+Labels: ['Diabetes']
+Scores: [0.25799402594566345]
+Labels: ['Cancer']
+Scores: [0.12416179478168488]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3407965302467346]
+Labels: ['Cardiovascular diseases']
+Scores: [0.16594885289669037]
+Labels: ['Mental Health']
+Scores: [0.002049035159870982]
+Labels: ['Diabetes type 1']
+Scores: [0.23244714736938477]
+Labels: ['Diabetes type 2']
+Scores: [0.26824063062667847]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39438053
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Thailand', 'Noncommunicable Diseases', 'Delivery of Health Care', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9913471341133118]
+Labels: ['Diabetes']
+Scores: [0.25406432151794434]
+Labels: ['Cancer']
+Scores: [0.15116339921951294]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4522787928581238]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1890648752450943]
+Labels: ['Mental Health']
+Scores: [0.07922183722257614]
+Labels: ['Diabetes type 1']
+Scores: [0.45377177000045776]
+Labels: ['Diabetes type 2']
+Scores: [0.5071015357971191]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Germany', 'Communicable Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2946973741054535]
+Labels: ['Diabetes']
+Scores: [0.026669949293136597]
+Labels: ['Cancer']
+Scores: [0.003889800049364567]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06942359358072281]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018950434401631355]
+Labels: ['Mental Health']
+Scores: [0.005783506669104099]
+Labels: ['Diabetes type 1']
+Scores: [0.05542074143886566]
+Labels: ['Diabetes type 2']
+Scores: [0.05654594674706459]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39437462
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Emotions', 'Physician-Patient Relations', 'Communication', 'Decision Making', 'Noncommunicable Diseases', 'Informed Consent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.998033344745636]
+Labels: ['Diabetes']
+Scores: [0.17951133847236633]
+Labels: ['Cancer']
+Scores: [0.04982508718967438]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17335478961467743]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0916779637336731]
+Labels: ['Mental Health']
+Scores: [0.03694535791873932]
+Labels: ['Diabetes type 1']
+Scores: [0.16567252576351166]
+Labels: ['Diabetes type 2']
+Scores: [0.17196880280971527]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436669
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Health Policy', 'Policy Making', 'Administrative Personnel', 'Noncommunicable Diseases', 'Developing Countries']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9537109136581421]
+Labels: ['Diabetes']
+Scores: [0.16466118395328522]
+Labels: ['Cancer']
+Scores: [0.13026781380176544]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23794634640216827]
+Labels: ['Cardiovascular diseases']
+Scores: [0.23977631330490112]
+Labels: ['Mental Health']
+Scores: [0.16503678262233734]
+Labels: ['Diabetes type 1']
+Scores: [0.18639995157718658]
+Labels: ['Diabetes type 2']
+Scores: [0.19023087620735168]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39432502
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Tuberculosis, Pulmonary', 'Noncommunicable Diseases', 'Gene Regulatory Networks', 'Lung Neoplasms', 'Silicosis', 'Protein Interaction Maps', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9729481339454651]
+Labels: ['Diabetes']
+Scores: [0.004016141407191753]
+Labels: ['Cancer']
+Scores: [0.0027657917235046625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8306002020835876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0029553757049143314]
+Labels: ['Mental Health']
+Scores: [0.003660310758277774]
+Labels: ['Diabetes type 1']
+Scores: [0.007698021363466978]
+Labels: ['Diabetes type 2']
+Scores: [0.00796967651695013]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39426077
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Brazil', 'Obesity', 'Male', 'Female', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Hospitalization', 'Body Mass Index', 'Sick Leave', 'Prevalence', 'Cost of Illness', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9682957530021667]
+Labels: ['Diabetes']
+Scores: [0.04659051075577736]
+Labels: ['Cancer']
+Scores: [0.003406764008104801]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13214759528636932]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8837681412696838]
+Labels: ['Mental Health']
+Scores: [0.0006266692653298378]
+Labels: ['Diabetes type 1']
+Scores: [0.06882096827030182]
+Labels: ['Diabetes type 2']
+Scores: [0.0919589251279831]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421825
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Prevalence', 'Incidence', 'Global Health', 'Male', 'Global Burden of Disease', 'Data Analysis', 'World Health Organization', 'Secondary Data Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.987403929233551]
+Labels: ['Diabetes']
+Scores: [0.07261894643306732]
+Labels: ['Cancer']
+Scores: [0.05831247568130493]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15644358098506927]
+Labels: ['Cardiovascular diseases']
+Scores: [0.13345228135585785]
+Labels: ['Mental Health']
+Scores: [0.00862867571413517]
+Labels: ['Diabetes type 1']
+Scores: [0.09012356400489807]
+Labels: ['Diabetes type 2']
+Scores: [0.09789900481700897]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39418781
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Female', 'Male', 'Case-Control Studies', 'Middle Aged', 'Adult', 'Occupations', 'Databases, Factual', 'Occupational Exposure', 'Risk Factors', 'Noncommunicable Diseases', 'Myocardial Infarction', 'Sitting Position', 'Diabetes Mellitus', 'Aged', 'Workplace']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0977313220500946]
+Labels: ['Diabetes']
+Scores: [0.0685647502541542]
+Labels: ['Cancer']
+Scores: [0.05061662197113037]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07000593096017838]
+Labels: ['Cardiovascular diseases']
+Scores: [0.061546340584754944]
+Labels: ['Mental Health']
+Scores: [0.0014776778407394886]
+Labels: ['Diabetes type 1']
+Scores: [0.06341853737831116]
+Labels: ['Diabetes type 2']
+Scores: [0.06931011378765106]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39418779
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Europe', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Disability-Adjusted Life Years', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Adolescent', 'Neoplasms', 'Cardiovascular Diseases', 'Young Adult', 'Global Burden of Disease', 'Child', 'Infant', 'Cost of Illness', 'Child, Preschool', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9907187223434448]
+Labels: ['Diabetes']
+Scores: [0.0899786651134491]
+Labels: ['Cancer']
+Scores: [0.7646421790122986]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06404753029346466]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9525388479232788]
+Labels: ['Mental Health']
+Scores: [0.005315154790878296]
+Labels: ['Diabetes type 1']
+Scores: [0.13283023238182068]
+Labels: ['Diabetes type 2']
+Scores: [0.13604676723480225]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39418251
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Obesity', 'Hypertension', 'Motivation', 'Risk Factors', 'Hyperlipidemias', 'Iran', 'Overweight', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9883553385734558]
+Labels: ['Diabetes']
+Scores: [0.025967992842197418]
+Labels: ['Cancer']
+Scores: [0.001549194217659533]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013704005628824234]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021906737238168716]
+Labels: ['Mental Health']
+Scores: [0.0004322755557950586]
+Labels: ['Diabetes type 1']
+Scores: [0.03329316899180412]
+Labels: ['Diabetes type 2']
+Scores: [0.05750839412212372]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39416942
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Information Dissemination', 'Translational Research, Biomedical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9552371501922607]
+Labels: ['Diabetes']
+Scores: [0.024348020553588867]
+Labels: ['Cancer']
+Scores: [0.007722396869212389]
+Labels: ['Chronic respiratory disease']
+Scores: [0.057367946952581406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.043096885085105896]
+Labels: ['Mental Health']
+Scores: [0.004249152261763811]
+Labels: ['Diabetes type 1']
+Scores: [0.029508840292692184]
+Labels: ['Diabetes type 2']
+Scores: [0.035658933222293854]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39411832
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Inflammation', 'Diet', 'Anti-Inflammatory Agents', 'Obesity', 'Chronic Disease', 'Diabetes Mellitus, Type 2', 'Fruit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9797635078430176]
+Labels: ['Diabetes']
+Scores: [0.28034669160842896]
+Labels: ['Cancer']
+Scores: [0.2990649342536926]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06379072368144989]
+Labels: ['Cardiovascular diseases']
+Scores: [0.44052237272262573]
+Labels: ['Mental Health']
+Scores: [0.09098099917173386]
+Labels: ['Diabetes type 1']
+Scores: [0.23415105044841766]
+Labels: ['Diabetes type 2']
+Scores: [0.36141178011894226]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39408274
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malus', 'Noncommunicable Diseases', 'Fruit', 'Nutritive Value', 'Diet', 'Diet, Healthy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9846232533454895]
+Labels: ['Diabetes']
+Scores: [0.3734113574028015]
+Labels: ['Cancer']
+Scores: [0.14331164956092834]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5901558995246887]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8615365028381348]
+Labels: ['Mental Health']
+Scores: [0.16069351136684418]
+Labels: ['Diabetes type 1']
+Scores: [0.2875170111656189]
+Labels: ['Diabetes type 2']
+Scores: [0.2804145812988281]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39408232
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Biological Products', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9742243885993958]
+Labels: ['Diabetes']
+Scores: [0.7330165505409241]
+Labels: ['Cancer']
+Scores: [0.5701825022697449]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1079852283000946]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9303930401802063]
+Labels: ['Mental Health']
+Scores: [0.004937979392707348]
+Labels: ['Diabetes type 1']
+Scores: [0.3202781081199646]
+Labels: ['Diabetes type 2']
+Scores: [0.32873278856277466]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39407160
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Nepal', 'Humans', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Services Accessibility', 'Health Care Surveys', 'Health Facilities', 'Female', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9802212715148926]
+Labels: ['Diabetes']
+Scores: [0.05595283955335617]
+Labels: ['Cancer']
+Scores: [0.02801218256354332]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10807252675294876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.043272752314805984]
+Labels: ['Mental Health']
+Scores: [0.007678323425352573]
+Labels: ['Diabetes type 1']
+Scores: [0.08479051291942596]
+Labels: ['Diabetes type 2']
+Scores: [0.07987216860055923]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39404094
+Predictions: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fibrinolytic Agents', 'Subtilisins', 'Antioxidants', 'Oxidative Stress', 'Anti-Inflammatory Agents', 'Animals', 'Inflammation', 'Cardiovascular Diseases', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9940460920333862]
+Labels: ['Diabetes']
+Scores: [0.026550665497779846]
+Labels: ['Cancer']
+Scores: [0.0008585876203142107]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006130184046924114]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9664739966392517]
+Labels: ['Mental Health']
+Scores: [0.0002699597680475563]
+Labels: ['Diabetes type 1']
+Scores: [0.050717685371637344]
+Labels: ['Diabetes type 2']
+Scores: [0.0461856946349144]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39394102
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Communication Barriers', 'Aged', 'Rural Population', 'South Africa', 'Middle Aged', 'Qualitative Research', 'Interviews as Topic', 'Health Knowledge, Attitudes, Practice', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9862920045852661]
+Labels: ['Diabetes']
+Scores: [0.7557294368743896]
+Labels: ['Cancer']
+Scores: [0.03956401348114014]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1466398388147354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3284127414226532]
+Labels: ['Mental Health']
+Scores: [0.02764912135899067]
+Labels: ['Diabetes type 1']
+Scores: [0.4012875556945801]
+Labels: ['Diabetes type 2']
+Scores: [0.5119026303291321]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39391944
+Predictions: ['Noncommunicable Diseases', 'Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Noncommunicable Diseases', 'Middle Aged', 'Cross-Sectional Studies', 'Prevalence', 'Chronic Disease', 'Beverages', 'Obesity', 'Aged', 'Neoplasms', 'Hypercholesterolemia', 'Young Adult', 'Diet', 'Alcoholic Beverages', 'Feeding Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9559919238090515]
+Labels: ['Diabetes']
+Scores: [0.3506854772567749]
+Labels: ['Cancer']
+Scores: [0.7253946661949158]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16969919204711914]
+Labels: ['Cardiovascular diseases']
+Scores: [0.31763026118278503]
+Labels: ['Mental Health']
+Scores: [0.052541233599185944]
+Labels: ['Diabetes type 1']
+Scores: [0.40133532881736755]
+Labels: ['Diabetes type 2']
+Scores: [0.41363030672073364]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cancer']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39390457
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Satellite Imagery', 'Cardiovascular Diseases', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9897689819335938]
+Labels: ['Diabetes']
+Scores: [0.14999715983867645]
+Labels: ['Cancer']
+Scores: [0.09076417237520218]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17245833575725555]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12089673429727554]
+Labels: ['Mental Health']
+Scores: [0.01131267100572586]
+Labels: ['Diabetes type 1']
+Scores: [0.14771141111850739]
+Labels: ['Diabetes type 2']
+Scores: [0.13817556202411652]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39388415
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Africa South of the Sahara', 'Alcohol Drinking', 'Exercise', 'Meta-Analysis as Topic', 'Noncommunicable Diseases', 'Prevalence', 'Risk Factors', 'Systematic Reviews as Topic', 'Tobacco Use']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9354361295700073]
+Labels: ['Diabetes']
+Scores: [0.11583538353443146]
+Labels: ['Cancer']
+Scores: [0.05529211089015007]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10379352420568466]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06072583794593811]
+Labels: ['Mental Health']
+Scores: [0.04848076030611992]
+Labels: ['Diabetes type 1']
+Scores: [0.11855369061231613]
+Labels: ['Diabetes type 2']
+Scores: [0.12522836029529572]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39386956
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Guyana', 'Humans', 'Noncommunicable Diseases', 'Qualitative Research', 'Health Policy', 'Government', 'Policy Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9909611940383911]
+Labels: ['Diabetes']
+Scores: [0.05484749749302864]
+Labels: ['Cancer']
+Scores: [0.041297078132629395]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05883520469069481]
+Labels: ['Cardiovascular diseases']
+Scores: [0.061155956238508224]
+Labels: ['Mental Health']
+Scores: [0.005659979768097401]
+Labels: ['Diabetes type 1']
+Scores: [0.0636584684252739]
+Labels: ['Diabetes type 2']
+Scores: [0.06497237086296082]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39379988
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Aged', 'Body Mass Index', 'Cardiovascular Diseases', 'China', 'Neoplasms', 'Age Factors', 'Cause of Death', 'Cohort Studies', 'Proportional Hazards Models', 'Weight Loss', 'Weight Gain', 'Risk Factors', 'Noncommunicable Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0006572630954906344]
+Labels: ['Diabetes']
+Scores: [0.0027820314280688763]
+Labels: ['Cancer']
+Scores: [0.0029420943465083838]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005345861427485943]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003417817410081625]
+Labels: ['Mental Health']
+Scores: [0.0003040325245819986]
+Labels: ['Diabetes type 1']
+Scores: [0.0064499336294829845]
+Labels: ['Diabetes type 2']
+Scores: [0.0069299424067139626]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39374955
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Research', 'Health Priorities', 'Biomedical Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9895614385604858]
+Labels: ['Diabetes']
+Scores: [0.18639631569385529]
+Labels: ['Cancer']
+Scores: [0.1374017298221588]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10874222964048386]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05663704499602318]
+Labels: ['Mental Health']
+Scores: [0.010729700326919556]
+Labels: ['Diabetes type 1']
+Scores: [0.15412114560604095]
+Labels: ['Diabetes type 2']
+Scores: [0.15286998450756073]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369417
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Tertiary Care Centers', 'Noncommunicable Diseases', 'Aged', 'Adult', 'Nepal', 'Health Knowledge, Attitudes, Practice', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9904715418815613]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.04127021133899689]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19752901792526245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03573611006140709]
+Labels: ['Mental Health']
+Scores: [0.014432510361075401]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.24575670063495636]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39369183
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Female', 'Male', 'Aged', 'Asia, Central', 'Adult', 'Europe, Eastern', 'Noncommunicable Diseases', 'Mortality, Premature', 'Global Health', 'Global Burden of Disease', 'Cardiovascular Diseases', 'Neoplasms', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9794262647628784]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8782060146331787]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018146201968193054]
+Labels: ['Mental Health']
+Scores: [0.005430698394775391]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.3029927611351013]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[1, 1], [3, 3]]
+---------------------------------
+---------------------------------
+PMID: 39368120
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Middle Aged', 'Adult', 'Male', 'Female', 'Noncommunicable Diseases', 'Natural Language Processing', 'Prevalence', 'Retrospective Studies', 'Hypertension', 'Aged', 'Adolescent', 'Young Adult', 'Diabetes Mellitus', 'Electronic Health Records', 'Obesity', 'Multimorbidity', 'Dyslipidemias', 'Mental Disorders', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
+Scores: [0.016467630863189697]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.02015499770641327]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016505738720297813]
+Labels: ['Mental Health']
+Scores: [0.00665709562599659]
+Labels: ['Diabetes type 1']
+Scores: [0.017200373113155365]
+Labels: ['Diabetes type 2']
+Scores: [0.0172722227871418]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39367295
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['India', 'Humans', 'Primary Health Care', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Comprehensive Health Care', 'Health Services Needs and Demand']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01693897694349289]
+Labels: ['Diabetes']
+Scores: [0.018150290474295616]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.11534782499074936]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009816036559641361]
+Labels: ['Mental Health']
+Scores: [0.0008103180443868041]
+Labels: ['Diabetes type 1']
+Scores: [0.10882706940174103]
+Labels: ['Diabetes type 2']
+Scores: [0.09059800952672958]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39365121
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Dental Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.871232271194458]
+Labels: ['Diabetes']
+Scores: [0.05064389482140541]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.009489585645496845]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008471008040942252]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.08792150765657425]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39363978
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Female', 'Male', 'Sex Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9838627576828003]
+Labels: ['Diabetes']
+Scores: [0.15245433151721954]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.15916267037391663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.15857362747192383]
+Labels: ['Mental Health']
+Scores: [0.06625158339738846]
+Labels: ['Diabetes type 1']
+Scores: [0.07793273031711578]
+Labels: ['Diabetes type 2']
+Scores: [0.09182746708393097]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39356704
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Nepal', 'Adolescent', 'Middle Aged', 'Risk Factors', 'Young Adult', 'Hypertension', 'Obesity', 'Smoking', 'Prevalence', 'Overweight', 'Cluster Analysis', 'Noncommunicable Diseases', 'Health Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9859156012535095]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.19599486887454987]
+Labels: ['Mental Health']
+Scores: [0.014592892490327358]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.3388539254665375]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352154
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Malaysia', 'Female', 'Male', 'Adult', 'Cross-Sectional Studies', 'Health Knowledge, Attitudes, Practice', 'Noncommunicable Diseases', 'Middle Aged', 'Young Adult', 'Indigenous Peoples', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9787918925285339]
+Labels: ['Diabetes']
+Scores: [0.07738504558801651]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.08313510566949844]
+Labels: ['Diabetes type 2']
+Scores: [0.0865945816040039]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39352096
+Predictions: ['Noncommunicable Diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet', 'Obesity', 'Dysbiosis', 'Diabetes Mellitus, Type 2', 'Czech Republic', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9435473680496216]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.011845608241856098]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.029556507244706154]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39344941
+Predictions: ['Noncommunicable Diseases', 'Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Mass Screening', 'Cardiovascular Diseases', 'Oral Health', 'Diabetes Mellitus', 'United Kingdom']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9908475279808044]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.14418557286262512]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8580105900764465]
+Labels: ['Mental Health']
+Scores: [0.004347157198935747]
+Labels: ['Diabetes type 1']
+Scores: [0.4100664258003235]
+Labels: ['Diabetes type 2']
+Scores: [0.4300745725631714]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39342408
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Mexico', 'Female', 'Male', 'Adult', 'Middle Aged', 'Noncommunicable Diseases', 'Ambulatory Care', 'Cross-Sectional Studies', 'Young Adult', 'Aged', 'Sex Factors', 'Healthcare Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9901562929153442]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.04936330392956734]
+Labels: ['Mental Health']
+Scores: [0.007188450079411268]
+Labels: ['Diabetes type 1']
+Scores: [0.1874513328075409]
+Labels: ['Diabetes type 2']
+Scores: [0.1972113847732544]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39342100
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Female', 'Male', 'Qualitative Research', 'Fisheries', 'Adult', 'Middle Aged', 'Delayed Diagnosis', 'Patient Acceptance of Health Care', 'Interviews as Topic', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9958985447883606]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.013308457098901272]
+Labels: ['Mental Health']
+Scores: [0.019233278930187225]
+Labels: ['Diabetes type 1']
+Scores: [0.12018809467554092]
+Labels: ['Diabetes type 2']
+Scores: [0.13223350048065186]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39339734
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Noncommunicable Diseases', 'Diet, Mediterranean', 'Dysbiosis', 'Diet, Western', 'Diet, Vegetarian', 'Diet', 'Methylamines', 'Fatty Acids, Volatile']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9910332560539246]
+Labels: ['Diabetes']
+Scores: [0.021310286596417427]
+Labels: ['Cancer']
+Scores: [0.004960345569998026]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025556892156600952]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001283337827771902]
+Labels: ['Mental Health']
+Scores: [0.0025172256864607334]
+Labels: ['Diabetes type 1']
+Scores: [0.03424188494682312]
+Labels: ['Diabetes type 2']
+Scores: [0.031323663890361786]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338107
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'India', 'Noncommunicable Diseases', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Sex Factors', 'Longitudinal Studies', 'Young Adult', 'Health Surveys', 'Prevalence', 'Socioeconomic Factors', 'Adolescent', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9800819158554077]
+Labels: ['Diabetes']
+Scores: [0.08041955530643463]
+Labels: ['Cancer']
+Scores: [0.061596427112817764]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1657382994890213]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07427723705768585]
+Labels: ['Mental Health']
+Scores: [0.0074922554194927216]
+Labels: ['Diabetes type 1']
+Scores: [0.08159777522087097]
+Labels: ['Diabetes type 2']
+Scores: [0.08578209578990936]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338026
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Noncommunicable Diseases', 'Humans', 'Developing Countries', 'Economic Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9581512808799744]
+Labels: ['Diabetes']
+Scores: [0.1681947112083435]
+Labels: ['Cancer']
+Scores: [0.14497067034244537]
+Labels: ['Chronic respiratory disease']
+Scores: [0.31832242012023926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.17257817089557648]
+Labels: ['Mental Health']
+Scores: [0.15447066724300385]
+Labels: ['Diabetes type 1']
+Scores: [0.27393639087677]
+Labels: ['Diabetes type 2']
+Scores: [0.2801763415336609]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39334103
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Metabolic Syndrome', 'Female', 'Male', 'Aged', 'Cross-Sectional Studies', 'Thailand', 'Multilevel Analysis', 'Noncommunicable Diseases', 'Middle Aged', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9068002104759216]
+Labels: ['Diabetes']
+Scores: [0.02502475492656231]
+Labels: ['Cancer']
+Scores: [0.0037168627604842186]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015930503606796265]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009561469778418541]
+Labels: ['Mental Health']
+Scores: [0.0030414287466555834]
+Labels: ['Diabetes type 1']
+Scores: [0.04296477138996124]
+Labels: ['Diabetes type 2']
+Scores: [0.06591492891311646]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39333314
+Predictions: ['Noncommunicable Diseases', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Noncommunicable Diseases', 'Wounds and Injuries', 'Female', 'Male', 'Neoplasms', 'Cardiovascular Diseases', 'Cause of Death', 'Global Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.983406662940979]
+Labels: ['Diabetes']
+Scores: [0.013549432158470154]
+Labels: ['Cancer']
+Scores: [0.4534849524497986]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008118886500597]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9876363277435303]
+Labels: ['Mental Health']
+Scores: [0.05947528034448624]
+Labels: ['Diabetes type 1']
+Scores: [0.038636669516563416]
+Labels: ['Diabetes type 2']
+Scores: [0.030052704736590385]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39324155
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Ethiopia', 'Male', 'Female', 'Adult', 'Cross-Sectional Studies', 'Noncommunicable Diseases', 'Health Belief Model', 'Middle Aged', 'Health Behavior', 'Surveys and Questionnaires', 'Health Promotion', 'Young Adult', 'Health Knowledge, Attitudes, Practice', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9866605997085571]
+Labels: ['Diabetes']
+Scores: [0.020654408261179924]
+Labels: ['Cancer']
+Scores: [0.007791431155055761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04576323181390762]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015369254164397717]
+Labels: ['Mental Health']
+Scores: [0.0018589594401419163]
+Labels: ['Diabetes type 1']
+Scores: [0.05898614972829819]
+Labels: ['Diabetes type 2']
+Scores: [0.06371745467185974]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39308827
+Predictions: ['Noncommunicable Diseases', 'Diabetes']
+MeshTerm: ['Humans', 'Thailand', 'Particulate Matter', 'Noncommunicable Diseases', 'Female', 'Male', 'Air Pollutants', 'Environmental Exposure', 'Air Pollution', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9676142334938049]
+Labels: ['Diabetes']
+Scores: [0.009600336663424969]
+Labels: ['Cancer']
+Scores: [0.0067672887817025185]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13712288439273834]
+Labels: ['Cardiovascular diseases']
+Scores: [0.039844609797000885]
+Labels: ['Mental Health']
+Scores: [0.002604094799607992]
+Labels: ['Diabetes type 1']
+Scores: [0.014673099853098392]
+Labels: ['Diabetes type 2']
+Scores: [0.015387960709631443]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39307578
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Noncommunicable Diseases', 'Postpartum Period', 'Parturition', 'Pregnancy Complications', 'Australia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8728464245796204]
+Labels: ['Diabetes']
+Scores: [0.02228996530175209]
+Labels: ['Cancer']
+Scores: [0.0009539282182231545]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011406012810766697]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014481449034065008]
+Labels: ['Mental Health']
+Scores: [0.0002154564717784524]
+Labels: ['Diabetes type 1']
+Scores: [0.0649649053812027]
+Labels: ['Diabetes type 2']
+Scores: [0.08319314569234848]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738300
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cognitive Dysfunction', 'Self-Management', 'Machine Learning', 'Aged', 'Male', 'Female', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15221662819385529]
+Labels: ['Diabetes']
+Scores: [0.8938779234886169]
+Labels: ['Cancer']
+Scores: [0.005667710676789284]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014714904129505157]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013920989818871021]
+Labels: ['Mental Health']
+Scores: [0.24494414031505585]
+Labels: ['Diabetes type 1']
+Scores: [0.12852565944194794]
+Labels: ['Diabetes type 2']
+Scores: [0.25114700198173523]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03273962438106537]
+Labels: ['Diabetes']
+Scores: [0.987826406955719]
+Labels: ['Cancer']
+Scores: [0.0023766562808305025]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007139460649341345]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00674624927341938]
+Labels: ['Mental Health']
+Scores: [0.004060084465891123]
+Labels: ['Diabetes type 1']
+Scores: [0.5645133852958679]
+Labels: ['Diabetes type 2']
+Scores: [0.6298757791519165]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736942
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Mobile Health Units', 'Middle Aged', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'India', 'Morbidity', 'Hypertension', 'Child, Preschool', 'Obesity', 'Infant', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9886635541915894]
+Labels: ['Diabetes']
+Scores: [0.6531931757926941]
+Labels: ['Cancer']
+Scores: [0.029507696628570557]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9312772154808044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3559463918209076]
+Labels: ['Mental Health']
+Scores: [0.04915229603648186]
+Labels: ['Diabetes type 1']
+Scores: [0.36090773344039917]
+Labels: ['Diabetes type 2']
+Scores: [0.3829754889011383]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Chronic respiratory disease']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03347767889499664]
+Labels: ['Diabetes']
+Scores: [0.004403223749250174]
+Labels: ['Cancer']
+Scores: [0.877124547958374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01172280590981245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8876885771751404]
+Labels: ['Mental Health']
+Scores: [0.0018215678865090013]
+Labels: ['Diabetes type 1']
+Scores: [0.008391807787120342]
+Labels: ['Diabetes type 2']
+Scores: [0.009219110012054443]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735640
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Blood Glucose', 'Class Ia Phosphatidylinositol 3-Kinase', 'Diabetes Mellitus', 'Growth Disorders', 'Hypercalcemia', 'Insulin Resistance', 'Nephrocalcinosis', 'Tooth Abnormalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06427496671676636]
+Labels: ['Diabetes']
+Scores: [0.9499927759170532]
+Labels: ['Cancer']
+Scores: [0.0024953982792794704]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0032246869523078203]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023070746101439]
+Labels: ['Mental Health']
+Scores: [0.0021547088399529457]
+Labels: ['Diabetes type 1']
+Scores: [0.14138737320899963]
+Labels: ['Diabetes type 2']
+Scores: [0.08392403274774551]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735551
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Atherosclerosis', "5'-Nucleotidase", 'Animals', 'Diabetes Mellitus', 'GPI-Linked Proteins', 'Drug Development']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2593895494937897]
+Labels: ['Diabetes']
+Scores: [0.9495384097099304]
+Labels: ['Cancer']
+Scores: [0.01600976474583149]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10886671394109726]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5806416869163513]
+Labels: ['Mental Health']
+Scores: [0.026526231318712234]
+Labels: ['Diabetes type 1']
+Scores: [0.2410958856344223]
+Labels: ['Diabetes type 2']
+Scores: [0.37473997473716736]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Male', 'Heart Failure', 'Comorbidity', 'Middle Aged', 'Aged', 'Adult', 'Turkey', 'Prevalence', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Hypertension', 'Diabetes Mellitus', 'Pulmonary Disease, Chronic Obstructive', 'Anemia', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06131363660097122]
+Labels: ['Diabetes']
+Scores: [0.017046630382537842]
+Labels: ['Cancer']
+Scores: [0.002711925655603409]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9097986221313477]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9692558646202087]
+Labels: ['Mental Health']
+Scores: [0.013500431552529335]
+Labels: ['Diabetes type 1']
+Scores: [0.008471166715025902]
+Labels: ['Diabetes type 2']
+Scores: [0.010747567750513554]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39734205
+Predictions: ['Diabetes']
+MeshTerm: ['Administration, Oral', 'Insulin', 'Humans', 'Animals', 'Nanoparticles', 'Blood Glucose', 'Diabetes Mellitus', 'Particle Size', 'Hypoglycemic Agents', 'Drug Carriers', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.20345301926136017]
+Labels: ['Diabetes']
+Scores: [0.9437582492828369]
+Labels: ['Cancer']
+Scores: [0.020818699151277542]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07647592574357986]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03619937226176262]
+Labels: ['Mental Health']
+Scores: [0.13032032549381256]
+Labels: ['Diabetes type 1']
+Scores: [0.19924767315387726]
+Labels: ['Diabetes type 2']
+Scores: [0.20066364109516144]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18916235864162445]
+Labels: ['Diabetes']
+Scores: [0.9752730131149292]
+Labels: ['Cancer']
+Scores: [0.00016459752805531025]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000567377544939518]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00035469018621370196]
+Labels: ['Mental Health']
+Scores: [0.00047552818432450294]
+Labels: ['Diabetes type 1']
+Scores: [0.3571394383907318]
+Labels: ['Diabetes type 2']
+Scores: [0.5218312740325928]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732905
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Coronary Stenosis', 'Aged', 'Inflammation', 'Coronary Disease', 'Severity of Illness Index', 'Diabetes Mellitus', 'Prognosis', 'Risk Factors', 'Predictive Value of Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29278358817100525]
+Labels: ['Diabetes']
+Scores: [0.9090085029602051]
+Labels: ['Cancer']
+Scores: [0.045328378677368164]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08294184505939484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9927543997764587]
+Labels: ['Mental Health']
+Scores: [0.06965107470750809]
+Labels: ['Diabetes type 1']
+Scores: [0.26091647148132324]
+Labels: ['Diabetes type 2']
+Scores: [0.2678522765636444]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sepsis', 'Male', 'Female', 'Aged', 'Middle Aged', 'Calcium', 'Diabetes Mellitus', 'Acid-Base Equilibrium', 'ROC Curve', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2054602950811386]
+Labels: ['Diabetes']
+Scores: [0.7938706278800964]
+Labels: ['Cancer']
+Scores: [0.022622868418693542]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06696797907352448]
+Labels: ['Cardiovascular diseases']
+Scores: [0.027672935277223587]
+Labels: ['Mental Health']
+Scores: [0.04453732818365097]
+Labels: ['Diabetes type 1']
+Scores: [0.047029539942741394]
+Labels: ['Diabetes type 2']
+Scores: [0.06461633741855621]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002462517935782671]
+Labels: ['Diabetes']
+Scores: [0.7704277038574219]
+Labels: ['Cancer']
+Scores: [0.008493221364915371]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014215619303286076]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9507354497909546]
+Labels: ['Mental Health']
+Scores: [0.004705830477178097]
+Labels: ['Diabetes type 1']
+Scores: [0.1573367714881897]
+Labels: ['Diabetes type 2']
+Scores: [0.16591858863830566]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732433
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Ethiopia', 'Risk Factors', 'Prevalence', 'Diabetic Angiopathies', 'Male', 'Female', 'Middle Aged', 'Adult', 'Risk Assessment', 'Diabetic Retinopathy', 'Aged', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Diabetes Mellitus', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017745012417435646]
+Labels: ['Diabetes']
+Scores: [0.7515825629234314]
+Labels: ['Cancer']
+Scores: [0.00010613690392347053]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015274564793799073]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002270844270242378]
+Labels: ['Mental Health']
+Scores: [0.00011140568676637486]
+Labels: ['Diabetes type 1']
+Scores: [0.06924135982990265]
+Labels: ['Diabetes type 2']
+Scores: [0.2745465338230133]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4731173813343048]
+Labels: ['Diabetes']
+Scores: [0.952970027923584]
+Labels: ['Cancer']
+Scores: [0.028728680685162544]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08752413094043732]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7559065222740173]
+Labels: ['Mental Health']
+Scores: [0.08241716772317886]
+Labels: ['Diabetes type 1']
+Scores: [0.3423559367656708]
+Labels: ['Diabetes type 2']
+Scores: [0.3493865728378296]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730510
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Nutrition Surveys', 'Heart Diseases', 'Diabetes Mellitus', 'Waist Circumference', 'Body Mass Index', 'Adiposity', 'Risk Factors', 'Adipose Tissue', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5928957462310791]
+Labels: ['Diabetes']
+Scores: [0.7261159420013428]
+Labels: ['Cancer']
+Scores: [0.05668124184012413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11893769353628159]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7492794990539551]
+Labels: ['Mental Health']
+Scores: [0.09813978523015976]
+Labels: ['Diabetes type 1']
+Scores: [0.48055970668792725]
+Labels: ['Diabetes type 2']
+Scores: [0.5070813894271851]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729755
+Predictions: ['Diabetes']
+MeshTerm: ['Biosensing Techniques', 'Microwaves', 'Humans', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Spectrum Analysis, Raman', 'Spectroscopy, Near-Infrared', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2846337854862213]
+Labels: ['Diabetes']
+Scores: [0.8773786425590515]
+Labels: ['Cancer']
+Scores: [0.02624610625207424]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10145990550518036]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0541398786008358]
+Labels: ['Mental Health']
+Scores: [0.07042419165372849]
+Labels: ['Diabetes type 1']
+Scores: [0.3087243437767029]
+Labels: ['Diabetes type 2']
+Scores: [0.4984693229198456]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0272536501288414]
+Labels: ['Diabetes']
+Scores: [0.8454625606536865]
+Labels: ['Cancer']
+Scores: [0.001214143936522305]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022401358000934124]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9846840500831604]
+Labels: ['Mental Health']
+Scores: [0.0012581459013745189]
+Labels: ['Diabetes type 1']
+Scores: [0.5383432507514954]
+Labels: ['Diabetes type 2']
+Scores: [0.5631515383720398]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725454
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Kidney Transplantation', 'Male', 'Female', 'Child', 'Adolescent', 'Graft Survival', 'Graft Rejection', 'Diabetes Mellitus', 'Incidence', 'Retrospective Studies', 'Postoperative Complications', 'Survival Analysis', 'Child, Preschool', 'Transplant Recipients', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4477880001068115]
+Labels: ['Diabetes']
+Scores: [0.8609057068824768]
+Labels: ['Cancer']
+Scores: [0.018988972529768944]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03284289687871933]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04805309325456619]
+Labels: ['Mental Health']
+Scores: [0.018436109647154808]
+Labels: ['Diabetes type 1']
+Scores: [0.2422286421060562]
+Labels: ['Diabetes type 2']
+Scores: [0.35778945684432983]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723173
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Wound Healing', 'Hypoxia-Inducible Factor 1, alpha Subunit', 'Animals', 'Deferoxamine', 'Diabetes Mellitus', 'Glycine', 'Nanoparticles', 'Isoquinolines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14457093179225922]
+Labels: ['Diabetes']
+Scores: [0.9339149594306946]
+Labels: ['Cancer']
+Scores: [0.007240205071866512]
+Labels: ['Chronic respiratory disease']
+Scores: [0.055086564272642136]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04453596472740173]
+Labels: ['Mental Health']
+Scores: [0.025807520374655724]
+Labels: ['Diabetes type 1']
+Scores: [0.5881497263908386]
+Labels: ['Diabetes type 2']
+Scores: [0.27866029739379883]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721299
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Elasticity Imaging Techniques', 'Pilot Projects', 'Male', 'Female', 'Pancreas', 'Middle Aged', 'Adult', 'Case-Control Studies', 'Aged', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3387677073478699]
+Labels: ['Diabetes']
+Scores: [0.9362558722496033]
+Labels: ['Cancer']
+Scores: [0.001429157448001206]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009502533939667046]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007693293737247586]
+Labels: ['Mental Health']
+Scores: [0.0012772816698998213]
+Labels: ['Diabetes type 1']
+Scores: [0.34307995438575745]
+Labels: ['Diabetes type 2']
+Scores: [0.49438387155532837]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720256
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Extracellular Vesicles', 'Osteoporosis', 'Animals', 'Diabetes Complications', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2240467369556427]
+Labels: ['Diabetes']
+Scores: [0.9373881816864014]
+Labels: ['Cancer']
+Scores: [0.005451476667076349]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02066594734787941]
+Labels: ['Cardiovascular diseases']
+Scores: [0.029912404716014862]
+Labels: ['Mental Health']
+Scores: [0.03126662224531174]
+Labels: ['Diabetes type 1']
+Scores: [0.12528125941753387]
+Labels: ['Diabetes type 2']
+Scores: [0.17891719937324524]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4314536452293396]
+Labels: ['Diabetes']
+Scores: [0.9192237854003906]
+Labels: ['Cancer']
+Scores: [0.0007718504057265818]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0013538008788600564]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008945055305957794]
+Labels: ['Mental Health']
+Scores: [0.0005529289483092725]
+Labels: ['Diabetes type 1']
+Scores: [0.16248515248298645]
+Labels: ['Diabetes type 2']
+Scores: [0.3009176552295685]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719762
+Predictions: ['Diabetes']
+MeshTerm: ['Particulate Matter', 'Hypertension', 'Diabetes Mellitus', 'Middle Aged', 'Air Pollutants', 'Humans', 'Male', 'Prospective Studies', 'Air Pollution', 'Environmental Exposure', 'China', 'Aged', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020175471901893616]
+Labels: ['Diabetes']
+Scores: [0.007264300715178251]
+Labels: ['Cancer']
+Scores: [0.020774003118276596]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11032629013061523]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04196329414844513]
+Labels: ['Mental Health']
+Scores: [0.0041949856095016]
+Labels: ['Diabetes type 1']
+Scores: [0.0143146812915802]
+Labels: ['Diabetes type 2']
+Scores: [0.015644868835806847]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719335
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Male', 'Female', 'Adult', 'Multimorbidity', 'Middle Aged', 'Chronic Disease', 'Prevalence', 'Aged', 'Hypertension', 'Obesity', 'Hyperuricemia', 'Dyslipidemias', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Adolescent', 'Rural Population', 'Young Adult', 'Urban Population']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040943581610918045]
+Labels: ['Diabetes']
+Scores: [0.05424400046467781]
+Labels: ['Cancer']
+Scores: [0.025940952822566032]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11297298967838287]
+Labels: ['Cardiovascular diseases']
+Scores: [0.038046594709157944]
+Labels: ['Mental Health']
+Scores: [0.006516522727906704]
+Labels: ['Diabetes type 1']
+Scores: [0.07287398725748062]
+Labels: ['Diabetes type 2']
+Scores: [0.0870661810040474]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719334
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'China', 'Female', 'Male', 'Adult', 'Middle Aged', 'Prevalence', 'Hyperuricemia', 'Chronic Disease', 'Hypertension', 'Metabolic Diseases', 'Dyslipidemias', 'Aged', 'Diabetes Mellitus', 'Young Adult', 'Rural Population', 'Adolescent', 'Urban Population', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06893455982208252]
+Labels: ['Diabetes']
+Scores: [0.27957984805107117]
+Labels: ['Cancer']
+Scores: [0.0057276333682239056]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2851541340351105]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10524055361747742]
+Labels: ['Mental Health']
+Scores: [0.0009925224585458636]
+Labels: ['Diabetes type 1']
+Scores: [0.21394196152687073]
+Labels: ['Diabetes type 2']
+Scores: [0.25830134749412537]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719258
+Predictions: ['Diabetes']
+MeshTerm: ['MicroRNAs', 'Humans', 'Wound Healing', 'Animals', 'Signal Transduction', 'Diabetes Complications', 'Diabetes Mellitus', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17596185207366943]
+Labels: ['Diabetes']
+Scores: [0.9067524671554565]
+Labels: ['Cancer']
+Scores: [0.019081752747297287]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03530654311180115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03723723441362381]
+Labels: ['Mental Health']
+Scores: [0.032983846962451935]
+Labels: ['Diabetes type 1']
+Scores: [0.4193679690361023]
+Labels: ['Diabetes type 2']
+Scores: [0.42351457476615906]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39718458
+Predictions: ['Diabetes']
+MeshTerm: ['Titanium', 'Insulin', 'Animals', 'Hypoglycemic Agents', 'Particle Size', 'Glucose', 'Materials Testing', 'Nanoparticles', 'Surface Properties', 'Biocompatible Materials', 'Diabetes Mellitus', 'Drug Delivery Systems', 'Mice', 'Diabetes Mellitus, Experimental', 'Humans', 'Boronic Acids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06598275899887085]
+Labels: ['Diabetes']
+Scores: [0.9750682711601257]
+Labels: ['Cancer']
+Scores: [0.0004371913382783532]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006342606502585113]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007875332375988364]
+Labels: ['Mental Health']
+Scores: [0.009488672949373722]
+Labels: ['Diabetes type 1']
+Scores: [0.02929230034351349]
+Labels: ['Diabetes type 2']
+Scores: [0.021661393344402313]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717102
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Female', 'Postmenopause', 'Middle Aged', 'Coronary Disease', 'Cholesterol', 'Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Prevalence', 'United States', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.040393706411123276]
+Labels: ['Diabetes']
+Scores: [0.6041685938835144]
+Labels: ['Cancer']
+Scores: [0.0020954578649252653]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002884848741814494]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9594141840934753]
+Labels: ['Mental Health']
+Scores: [0.0005554231465794146]
+Labels: ['Diabetes type 1']
+Scores: [0.10086677968502045]
+Labels: ['Diabetes type 2']
+Scores: [0.1647745668888092]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717099
+Predictions: ['Diabetes']
+MeshTerm: ['Bibliometrics', 'Humans', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Inflammasomes', 'Diabetes Mellitus', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14804254472255707]
+Labels: ['Diabetes']
+Scores: [0.9703105688095093]
+Labels: ['Cancer']
+Scores: [0.00025078357430174947]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007656743400730193]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022468822135124356]
+Labels: ['Mental Health']
+Scores: [0.0003460497537162155]
+Labels: ['Diabetes type 1']
+Scores: [0.33715999126434326]
+Labels: ['Diabetes type 2']
+Scores: [0.38123172521591187]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716287
+Predictions: ['Diabetes']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Administration, Oral', 'Blood Glucose', 'Cholecalciferol', 'Creatine', 'Diabetes Mellitus', 'Dietary Supplements', 'Iran', 'Muscle Strength', 'Muscle, Skeletal', 'Oxidative Stress', 'Randomized Controlled Trials as Topic', 'Sarcopenia', 'Treatment Outcome', 'Valerates', 'Whey Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07798223197460175]
+Labels: ['Diabetes']
+Scores: [0.7852901816368103]
+Labels: ['Cancer']
+Scores: [0.0003001820878125727]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015213611768558621]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005606189952231944]
+Labels: ['Mental Health']
+Scores: [0.00062058016192168]
+Labels: ['Diabetes type 1']
+Scores: [0.012960686348378658]
+Labels: ['Diabetes type 2']
+Scores: [0.05218827724456787]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716100
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Gastrointestinal Microbiome', 'Kidney Transplantation', 'Postoperative Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12615621089935303]
+Labels: ['Diabetes']
+Scores: [0.9494497776031494]
+Labels: ['Cancer']
+Scores: [0.004113742150366306]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0072987740859389305]
+Labels: ['Cardiovascular diseases']
+Scores: [0.007627097889780998]
+Labels: ['Mental Health']
+Scores: [0.001939870766364038]
+Labels: ['Diabetes type 1']
+Scores: [0.09587472677230835]
+Labels: ['Diabetes type 2']
+Scores: [0.1344885677099228]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715819
+Predictions: ['Diabetes']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus', 'Egypt', 'Health Knowledge, Attitudes, Practice', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5445457100868225]
+Labels: ['Diabetes']
+Scores: [0.9179098606109619]
+Labels: ['Cancer']
+Scores: [0.02594054490327835]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2619902491569519]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07702232897281647]
+Labels: ['Mental Health']
+Scores: [0.0687723457813263]
+Labels: ['Diabetes type 1']
+Scores: [0.5225013494491577]
+Labels: ['Diabetes type 2']
+Scores: [0.611556887626648]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715497
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'COVID-19 Vaccines', 'Antibodies, Neutralizing', 'COVID-19', 'Female', 'HIV Infections', 'Middle Aged', 'Antibodies, Viral', 'Immunoglobulin G', 'SARS-CoV-2', 'Immunity, Humoral', 'Adult', 'Diabetes Mellitus', 'Vaccination', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022202590480446815]
+Labels: ['Diabetes']
+Scores: [0.29021909832954407]
+Labels: ['Cancer']
+Scores: [0.002474339911714196]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012242928147315979]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0026848469860851765]
+Labels: ['Mental Health']
+Scores: [0.41083788871765137]
+Labels: ['Diabetes type 1']
+Scores: [0.12325161695480347]
+Labels: ['Diabetes type 2']
+Scores: [0.29869621992111206]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714194
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Middle Aged', 'Ischemic Stroke', 'Aged, 80 and over', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Age Factors', 'Blood Glucose', 'Prospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09027234464883804]
+Labels: ['Diabetes']
+Scores: [0.7696859240531921]
+Labels: ['Cancer']
+Scores: [0.0089346244931221]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010984500870108604]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8298587203025818]
+Labels: ['Mental Health']
+Scores: [0.013448970392346382]
+Labels: ['Diabetes type 1']
+Scores: [0.12166478484869003]
+Labels: ['Diabetes type 2']
+Scores: [0.2758431136608124]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714134
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Saliva', 'Metal-Organic Frameworks', 'Transistors, Electronic', 'Glucose', 'Electrodes', 'Biosensing Techniques', 'Electrochemical Techniques', 'Nickel', 'Particle Size']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6613474488258362]
+Labels: ['Diabetes']
+Scores: [0.9134452939033508]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.000505584932398051]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006106806686148047]
+Labels: ['Mental Health']
+Scores: [0.003982399124652147]
+Labels: ['Diabetes type 1']
+Scores: [0.1744726151227951]
+Labels: ['Diabetes type 2']
+Scores: [0.22877031564712524]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.00686819339171052]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023489142768085003]
+Labels: ['Mental Health']
+Scores: [0.001906198333017528]
+Labels: ['Diabetes type 1']
+Scores: [0.2673991918563843]
+Labels: ['Diabetes type 2']
+Scores: [0.2838459312915802]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709946
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Transcription Factor 7-Like 2 Protein', 'beta Catenin', 'Wnt3A Protein', 'Wnt Signaling Pathway', 'Diabetic Nephropathies', 'Animals', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0017018461367115378]
+Labels: ['Diabetes']
+Scores: [0.6114034056663513]
+Labels: ['Cancer']
+Scores: [0.00012499524746090174]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00028612144524231553]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8433635830879211]
+Labels: ['Mental Health']
+Scores: [7.965737313497812e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.15623044967651367]
+Labels: ['Diabetes type 2']
+Scores: [0.27770060300827026]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709804
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vaccination Coverage', 'Cross-Sectional Studies', 'Influenza, Human', 'Male', 'Influenza Vaccines', 'Female', 'Europe', 'Middle Aged', 'Aged', 'Diabetes Mellitus', 'Seasons', 'Vaccination', 'Social Determinants of Health', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14753080904483795]
+Labels: ['Diabetes']
+Scores: [0.7680606842041016]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.12397822737693787]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.020611153915524483]
+Labels: ['Diabetes type 1']
+Scores: [0.21190717816352844]
+Labels: ['Diabetes type 2']
+Scores: [0.36688491702079773]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709395
+Predictions: ['Diabetes']
+MeshTerm: ['Bayes Theorem', 'Humans', 'Software', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2261267900466919]
+Labels: ['Diabetes']
+Scores: [0.1768147498369217]
+Labels: ['Cancer']
+Scores: [0.22953316569328308]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13827747106552124]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14391060173511505]
+Labels: ['Mental Health']
+Scores: [0.05524580553174019]
+Labels: ['Diabetes type 1']
+Scores: [0.18538798391819]
+Labels: ['Diabetes type 2']
+Scores: [0.18536406755447388]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Middle Aged', 'Retrospective Studies', 'Male', 'Adult', 'Female', 'Aged', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Aged, 80 and over', 'Oman', 'Body Mass Index', 'Blood Pressure', 'Young Adult', 'SARS-CoV-2', 'Hypertension', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9975727796554565]
+Labels: ['Diabetes']
+Scores: [0.9972678422927856]
+Labels: ['Cancer']
+Scores: [0.0007456144085153937]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016389678930863738]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011117245303466916]
+Labels: ['Mental Health']
+Scores: [0.0010144594125449657]
+Labels: ['Diabetes type 1']
+Scores: [0.8720661997795105]
+Labels: ['Diabetes type 2']
+Scores: [0.9148455262184143]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[1, 3], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39707324
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Triglycerides', 'Longitudinal Studies', 'Male', 'Middle Aged', 'Female', 'Blood Glucose', 'China', 'Aged', 'Obesity', 'Risk Factors', 'Insulin Resistance', 'Diabetes Mellitus', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17256836593151093]
+Labels: ['Diabetes']
+Scores: [0.7646260261535645]
+Labels: ['Cancer']
+Scores: [0.00022136092593427747]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006982453167438507]
+Labels: ['Cardiovascular diseases']
+Scores: [0.030248980969190598]
+Labels: ['Mental Health']
+Scores: [0.0007901458302512765]
+Labels: ['Diabetes type 1']
+Scores: [0.15181846916675568]
+Labels: ['Diabetes type 2']
+Scores: [0.26072031259536743]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707271
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Erectile Dysfunction', 'Ethiopia', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Hospitals, Public', 'Prevalence', 'Risk Factors', 'Diabetes Mellitus', 'Poisson Distribution', 'Young Adult', 'Diabetes Complications', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04778726398944855]
+Labels: ['Diabetes']
+Scores: [0.9073144197463989]
+Labels: ['Cancer']
+Scores: [0.000620454375166446]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00045347577542997897]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00041700893780216575]
+Labels: ['Mental Health']
+Scores: [0.004824506118893623]
+Labels: ['Diabetes type 1']
+Scores: [0.16809649765491486]
+Labels: ['Diabetes type 2']
+Scores: [0.27473184466362]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707185
+Predictions: ['Diabetes']
+MeshTerm: ['Gastrointestinal Microbiome', 'Humans', 'Diabetes Mellitus', 'Protein Interaction Maps', 'Network Pharmacology', 'Proto-Oncogene Proteins c-akt', 'Metabolome', 'PPAR gamma', 'Signal Transduction', 'Metabolomics', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11969996988773346]
+Labels: ['Diabetes']
+Scores: [0.7840758562088013]
+Labels: ['Cancer']
+Scores: [0.00020074250642210245]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000443340017227456]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004899906343780458]
+Labels: ['Mental Health']
+Scores: [0.034572213888168335]
+Labels: ['Diabetes type 1']
+Scores: [0.015284163877367973]
+Labels: ['Diabetes type 2']
+Scores: [0.018669351935386658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706370
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Glucose Tolerance Test', 'Adult', 'Blood Glucose', 'Hyperglycemia', 'Glycated Hemoglobin', 'Insulin Resistance', 'China', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Aged', 'Insulin', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004784286487847567]
+Labels: ['Diabetes']
+Scores: [0.957089364528656]
+Labels: ['Cancer']
+Scores: [0.00032118710805661976]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011234445264562964]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008959665428847075]
+Labels: ['Mental Health']
+Scores: [0.0006136131705716252]
+Labels: ['Diabetes type 1']
+Scores: [0.04550141096115112]
+Labels: ['Diabetes type 2']
+Scores: [0.15890008211135864]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39705195
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cardio-Renal Syndrome', 'Diabetes Mellitus', 'Metabolic Diseases', 'Practice Guidelines as Topic', 'Renal Insufficiency, Chronic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1620403677225113]
+Labels: ['Diabetes']
+Scores: [0.89240562915802]
+Labels: ['Cancer']
+Scores: [0.010522685945034027]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18030379712581635]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7404110431671143]
+Labels: ['Mental Health']
+Scores: [0.018208352848887444]
+Labels: ['Diabetes type 1']
+Scores: [0.13473768532276154]
+Labels: ['Diabetes type 2']
+Scores: [0.25120463967323303]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703865
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Uric Acid', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Cholesterol, HDL', 'Prospective Studies', 'Adult', 'Biomarkers', 'Diabetes Mellitus', 'Prognosis', 'Aged', 'Nutrition Surveys', 'Cohort Studies', 'Follow-Up Studies', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0999663844704628]
+Labels: ['Diabetes']
+Scores: [0.9346897006034851]
+Labels: ['Cancer']
+Scores: [0.0008437357028014958]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003464057808741927]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4640142321586609]
+Labels: ['Mental Health']
+Scores: [0.0004271589277777821]
+Labels: ['Diabetes type 1']
+Scores: [0.3065703809261322]
+Labels: ['Diabetes type 2']
+Scores: [0.4240169823169708]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703057
+Predictions: ['Diabetes']
+MeshTerm: ['Strongyloides stercoralis', 'Strongyloidiasis', 'Animals', 'Humans', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013761979527771473]
+Labels: ['Diabetes']
+Scores: [0.7140126824378967]
+Labels: ['Cancer']
+Scores: [7.716608524788171e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005337137845344841]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010842949996003881]
+Labels: ['Mental Health']
+Scores: [0.0003746010479517281]
+Labels: ['Diabetes type 1']
+Scores: [0.034066975116729736]
+Labels: ['Diabetes type 2']
+Scores: [0.03909219056367874]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702258
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nasopharynx', 'Male', 'Female', 'Case-Control Studies', 'Adult', 'Middle Aged', 'Ghana', 'Diabetes Mellitus', 'Aged', 'Bacteria', 'Young Adult', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03431672230362892]
+Labels: ['Diabetes']
+Scores: [0.8056948184967041]
+Labels: ['Cancer']
+Scores: [0.002317714272066951]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5813618302345276]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004211790394037962]
+Labels: ['Mental Health']
+Scores: [0.005432950332760811]
+Labels: ['Diabetes type 1']
+Scores: [0.24704603850841522]
+Labels: ['Diabetes type 2']
+Scores: [0.3468959629535675]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702047
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Malaysia', 'Male', 'Mobile Applications', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Telemedicine', 'Self-Management', 'Surveys and Questionnaires', 'Diabetes Mellitus', 'Aged', 'Diabetes Mellitus, Type 2', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06373819708824158]
+Labels: ['Diabetes']
+Scores: [0.9652115106582642]
+Labels: ['Cancer']
+Scores: [0.0026599757838994265]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020051661413162947]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010701451683416963]
+Labels: ['Mental Health']
+Scores: [0.0027877455577254295]
+Labels: ['Diabetes type 1']
+Scores: [0.3981265425682068]
+Labels: ['Diabetes type 2']
+Scores: [0.45355331897735596]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39700129
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Bangladesh', 'Hyperglycemia', 'Middle Aged', 'Tertiary Care Centers', 'Diabetes Mellitus', 'Prospective Studies', 'Adult', 'Follow-Up Studies', 'Aged', 'SARS-CoV-2', 'Hospitalization', 'Patient Discharge', 'Risk Factors', 'Socioeconomic Factors', 'Hospital Mortality']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4266963303089142]
+Labels: ['Diabetes']
+Scores: [0.6330632567405701]
+Labels: ['Cancer']
+Scores: [0.007653187029063702]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017535576596856117]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05567130446434021]
+Labels: ['Mental Health']
+Scores: [0.039807625114917755]
+Labels: ['Diabetes type 1']
+Scores: [0.17055217921733856]
+Labels: ['Diabetes type 2']
+Scores: [0.4339198172092438]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699704
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Hyperglycemia', 'Diabetes Mellitus', 'Risk Factors', 'Atherosclerosis', 'Blood Glucose']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.48644617199897766]
+Labels: ['Diabetes']
+Scores: [0.8749437928199768]
+Labels: ['Cancer']
+Scores: [0.0023162048310041428]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0037828520871698856]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9366907477378845]
+Labels: ['Mental Health']
+Scores: [0.007973856292665005]
+Labels: ['Diabetes type 1']
+Scores: [0.08083417266607285]
+Labels: ['Diabetes type 2']
+Scores: [0.13513512909412384]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699431
+Predictions: ['Diabetes']
+MeshTerm: ['Quality of Life', 'Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Patient Education as Topic', 'Educational Technology', 'Adult', 'Aged', 'Surveys and Questionnaires', 'Controlled Before-After Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10764316469430923]
+Labels: ['Diabetes']
+Scores: [0.983933687210083]
+Labels: ['Cancer']
+Scores: [0.0003898075665347278]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029567008838057518]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00026642842567525804]
+Labels: ['Mental Health']
+Scores: [0.2756246328353882]
+Labels: ['Diabetes type 1']
+Scores: [0.37625667452812195]
+Labels: ['Diabetes type 2']
+Scores: [0.5406206846237183]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39698032
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Middle Aged', 'Intra-Abdominal Fat', 'Japan', 'Cohort Studies', 'Obesity, Abdominal', 'Adiposity', 'Diabetes Mellitus', 'Risk Factors', 'Blood Glucose', 'Longitudinal Studies', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08106941729784012]
+Labels: ['Diabetes']
+Scores: [0.8911437392234802]
+Labels: ['Cancer']
+Scores: [0.004486373160034418]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004690620116889477]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005649599712342024]
+Labels: ['Mental Health']
+Scores: [0.0014273900305852294]
+Labels: ['Diabetes type 1']
+Scores: [0.12687276303768158]
+Labels: ['Diabetes type 2']
+Scores: [0.24465204775333405]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696515
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Uric Acid', 'C-Reactive Protein', 'Male', 'Female', 'Insulin Resistance', 'Triglycerides', 'Cholesterol, HDL', 'Adult', 'Middle Aged', 'Risk Factors', 'Sex Factors', 'Diabetes Mellitus', 'Mediation Analysis', 'Biomarkers', 'Sex Characteristics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15197955071926117]
+Labels: ['Diabetes']
+Scores: [0.8531874418258667]
+Labels: ['Cancer']
+Scores: [0.0010464006336405873]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003736353712156415]
+Labels: ['Cardiovascular diseases']
+Scores: [0.26489660143852234]
+Labels: ['Mental Health']
+Scores: [0.0015334261115640402]
+Labels: ['Diabetes type 1']
+Scores: [0.1340794414281845]
+Labels: ['Diabetes type 2']
+Scores: [0.18043087422847748]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696157
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'China', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Health Services Needs and Demand', 'Diabetes Mellitus', 'Young Adult', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Mass Screening', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026166317984461784]
+Labels: ['Diabetes']
+Scores: [0.9453532099723816]
+Labels: ['Cancer']
+Scores: [0.0006475646514445543]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007426941301673651]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0020464498084038496]
+Labels: ['Mental Health']
+Scores: [0.000436795613495633]
+Labels: ['Diabetes type 1']
+Scores: [0.41269296407699585]
+Labels: ['Diabetes type 2']
+Scores: [0.7427160143852234]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696101
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Middle Aged', 'Health Surveys', 'Young Adult', 'Risk Factors', 'Sex Factors', 'Undiagnosed Diseases', 'Adolescent', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17157922685146332]
+Labels: ['Diabetes']
+Scores: [0.9509921669960022]
+Labels: ['Cancer']
+Scores: [0.0030933148227632046]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002548004500567913]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019237130181863904]
+Labels: ['Mental Health']
+Scores: [0.028462925925850868]
+Labels: ['Diabetes type 1']
+Scores: [0.4224979281425476]
+Labels: ['Diabetes type 2']
+Scores: [0.6068381071090698]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695649
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Diabetes Mellitus', 'Neural Networks, Computer', 'Middle Aged', 'Female', 'Male', 'Models, Statistical', 'Support Vector Machine', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02974298596382141]
+Labels: ['Diabetes']
+Scores: [0.985961377620697]
+Labels: ['Cancer']
+Scores: [8.875245839590207e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017178052803501487]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002563476737122983]
+Labels: ['Mental Health']
+Scores: [0.0007606142899021506]
+Labels: ['Diabetes type 1']
+Scores: [0.25856584310531616]
+Labels: ['Diabetes type 2']
+Scores: [0.4439428448677063]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695632
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Malawi', 'Qualitative Research', 'Female', 'Diabetes Mellitus', 'Focus Groups', 'Health Knowledge, Attitudes, Practice', 'Adult', 'Male', 'Nursing Staff, Hospital', 'Tertiary Care Centers', 'Clinical Competence', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.44270676374435425]
+Labels: ['Diabetes']
+Scores: [0.8926189541816711]
+Labels: ['Cancer']
+Scores: [0.016455331817269325]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01546028908342123]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003130735596641898]
+Labels: ['Mental Health']
+Scores: [0.013246370479464531]
+Labels: ['Diabetes type 1']
+Scores: [0.344316303730011]
+Labels: ['Diabetes type 2']
+Scores: [0.4316333830356598]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695379
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cluster Analysis', 'Regression Analysis', 'Models, Statistical', 'Algorithms', 'Diabetes Mellitus', 'Data Interpretation, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06427980959415436]
+Labels: ['Diabetes']
+Scores: [0.027853693813085556]
+Labels: ['Cancer']
+Scores: [0.017833031713962555]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0359065942466259]
+Labels: ['Cardiovascular diseases']
+Scores: [0.038756463676691055]
+Labels: ['Mental Health']
+Scores: [0.011620673350989819]
+Labels: ['Diabetes type 1']
+Scores: [0.04445699229836464]
+Labels: ['Diabetes type 2']
+Scores: [0.045335594564676285]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693799
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Prediabetic State', 'Incidence', 'Middle Aged', 'Depression', 'Triglycerides', 'United States', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Diabetes Mellitus', 'Aged', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005647923797369003]
+Labels: ['Diabetes']
+Scores: [0.9573038816452026]
+Labels: ['Cancer']
+Scores: [0.0003422185545787215]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0042853569611907005]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001034867251291871]
+Labels: ['Mental Health']
+Scores: [0.9469563364982605]
+Labels: ['Diabetes type 1']
+Scores: [0.3817494809627533]
+Labels: ['Diabetes type 2']
+Scores: [0.4832351803779602]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39693267
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Renal Dialysis', 'Kidney Failure, Chronic', 'Glycated Hemoglobin', 'Diabetes Mellitus', 'Blood Glucose', 'Precision Medicine', 'Hypoglycemic Agents', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1631770133972168]
+Labels: ['Diabetes']
+Scores: [0.975376307964325]
+Labels: ['Cancer']
+Scores: [0.025413550436496735]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04567940533161163]
+Labels: ['Cardiovascular diseases']
+Scores: [0.42455196380615234]
+Labels: ['Mental Health']
+Scores: [0.034743718802928925]
+Labels: ['Diabetes type 1']
+Scores: [0.15754978358745575]
+Labels: ['Diabetes type 2']
+Scores: [0.3002709150314331]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39692388
+Predictions: ['Diabetes']
+MeshTerm: ['Adolescent', 'Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Young Adult', 'Arabs', 'Chronic Disease', 'Diabetes Mellitus', 'Health Status Disparities', 'Israel', 'Jews', 'Obesity', 'Prevalence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11124271899461746]
+Labels: ['Diabetes']
+Scores: [0.35740938782691956]
+Labels: ['Cancer']
+Scores: [0.29465925693511963]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4486347436904907]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3124615550041199]
+Labels: ['Mental Health']
+Scores: [0.036208588629961014]
+Labels: ['Diabetes type 1']
+Scores: [0.34624212980270386]
+Labels: ['Diabetes type 2']
+Scores: [0.36856791377067566]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686708
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Glycated Hemoglobin', 'Time Factors', 'Biometry', 'Models, Statistical', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13358619809150696]
+Labels: ['Diabetes']
+Scores: [0.9286506175994873]
+Labels: ['Cancer']
+Scores: [0.01068826299160719]
+Labels: ['Chronic respiratory disease']
+Scores: [0.036107610911130905]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08974911272525787]
+Labels: ['Mental Health']
+Scores: [0.07762594521045685]
+Labels: ['Diabetes type 1']
+Scores: [0.5705292224884033]
+Labels: ['Diabetes type 2']
+Scores: [0.49804070591926575]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39686687
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Colorectal Neoplasms', 'Metabolic Syndrome', 'Middle Aged', 'Early Detection of Cancer', 'Male', 'Europe', 'Female', 'Adult', 'Diabetes Mellitus', 'North America', 'Age Factors', 'Risk Factors', 'Mass Screening', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013967391103506088]
+Labels: ['Diabetes']
+Scores: [0.9554185271263123]
+Labels: ['Cancer']
+Scores: [0.9351307153701782]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012311118189245462]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007735705003142357]
+Labels: ['Mental Health']
+Scores: [0.0004371751856524497]
+Labels: ['Diabetes type 1']
+Scores: [0.18636338412761688]
+Labels: ['Diabetes type 2']
+Scores: [0.39242151379585266]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684919
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Cyclin-Dependent Kinase Inhibitor p21', 'Diabetes Mellitus', 'Animals', 'Metabolic Diseases', 'Insulin Resistance', 'DNA Damage']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03122810833156109]
+Labels: ['Diabetes']
+Scores: [0.8865443468093872]
+Labels: ['Cancer']
+Scores: [0.5187867283821106]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0244962889701128]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010920579545199871]
+Labels: ['Mental Health']
+Scores: [0.01652652956545353]
+Labels: ['Diabetes type 1']
+Scores: [0.10765325278043747]
+Labels: ['Diabetes type 2']
+Scores: [0.16901716589927673]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684905
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Cats', 'Insulin', 'Signal Transduction', 'Muscle, Skeletal', 'Biomarkers', 'Liver', 'Cat Diseases', 'Male', 'Pancreas', 'Diabetes Mellitus', 'Receptor, Insulin', 'Female', 'Insulin Resistance', 'Insulin Receptor Substrate Proteins', 'Glucagon-Like Peptide 1', 'Incretins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06175698712468147]
+Labels: ['Diabetes']
+Scores: [0.5235953330993652]
+Labels: ['Cancer']
+Scores: [0.000702296441886574]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020728406962007284]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00298190675675869]
+Labels: ['Mental Health']
+Scores: [0.0021228338591754436]
+Labels: ['Diabetes type 1']
+Scores: [0.021407566964626312]
+Labels: ['Diabetes type 2']
+Scores: [0.031191684305667877]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684868
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Nanostructures', 'Pancreatic Diseases', 'Animals', 'Drug Delivery Systems', 'Pancreatic Neoplasms', 'Diabetes Mellitus', 'Drug Carriers', 'Pancreas']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10700643807649612]
+Labels: ['Diabetes']
+Scores: [0.24198764562606812]
+Labels: ['Cancer']
+Scores: [0.6329150795936584]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01569308526813984]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004135565832257271]
+Labels: ['Mental Health']
+Scores: [0.012484046630561352]
+Labels: ['Diabetes type 1']
+Scores: [0.20186389982700348]
+Labels: ['Diabetes type 2']
+Scores: [0.16436530649662018]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684468
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Apolipoprotein C-III', 'Cardiovascular Diseases', 'Animals', 'Diabetes Mellitus', 'Metabolic Diseases', 'Lipoproteins', 'Triglycerides', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0860399380326271]
+Labels: ['Diabetes']
+Scores: [0.9026055932044983]
+Labels: ['Cancer']
+Scores: [0.012859374284744263]
+Labels: ['Chronic respiratory disease']
+Scores: [0.040097784250974655]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9095618724822998]
+Labels: ['Mental Health']
+Scores: [0.020555216819047928]
+Labels: ['Diabetes type 1']
+Scores: [0.30653223395347595]
+Labels: ['Diabetes type 2']
+Scores: [0.37421172857284546]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39684379
+Predictions: ['Diabetes']
+MeshTerm: ['Leptin', 'Humans', 'Obesity', 'Metabolic Diseases', 'Diabetes Mellitus', 'Female', 'Male', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014784188941121101]
+Labels: ['Diabetes']
+Scores: [0.7825630307197571]
+Labels: ['Cancer']
+Scores: [0.012584368698298931]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026552138850092888]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02178783528506756]
+Labels: ['Mental Health']
+Scores: [0.02037917636334896]
+Labels: ['Diabetes type 1']
+Scores: [0.35012099146842957]
+Labels: ['Diabetes type 2']
+Scores: [0.45275720953941345]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684343
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Acetamides', 'Diabetes Mellitus', 'Depression', 'Antidepressive Agents', 'Depressive Disorder, Major', 'Blood Glucose', 'Glycated Hemoglobin', 'Treatment Outcome', 'Naphthalenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12611018121242523]
+Labels: ['Diabetes']
+Scores: [0.9917670488357544]
+Labels: ['Cancer']
+Scores: [0.015402187593281269]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029139555990695953]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02347138337790966]
+Labels: ['Mental Health']
+Scores: [0.7875815033912659]
+Labels: ['Diabetes type 1']
+Scores: [0.341196209192276]
+Labels: ['Diabetes type 2']
+Scores: [0.4573405086994171]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683638
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Ferritins', 'Male', 'Middle Aged', 'Female', 'Mongolia', 'Cross-Sectional Studies', 'Cardiovascular Diseases', 'Meat', 'Diet', 'Heart Disease Risk Factors', 'Adult', 'Biomarkers', 'Aged', 'Diabetes Mellitus', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001191631774418056]
+Labels: ['Diabetes']
+Scores: [0.9377172589302063]
+Labels: ['Cancer']
+Scores: [0.0005061231786385179]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017210021906066686]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9473936557769775]
+Labels: ['Mental Health']
+Scores: [0.00019005629292223603]
+Labels: ['Diabetes type 1']
+Scores: [0.2152407020330429]
+Labels: ['Diabetes type 2']
+Scores: [0.3469695448875427]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683480
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Cross-Sectional Studies', 'Blood Glucose', 'Independent Living', 'Italy', 'Fatty Acids, Unsaturated', 'Diabetes Mellitus', 'Aged, 80 and over', 'Diet', 'Blood Pressure', 'Cardiometabolic Risk Factors', 'Fatty Acids, Omega-3', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23483631014823914]
+Labels: ['Diabetes']
+Scores: [0.9334657192230225]
+Labels: ['Cancer']
+Scores: [0.0035637635737657547]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011711551807820797]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07169866561889648]
+Labels: ['Mental Health']
+Scores: [0.0042730397544801235]
+Labels: ['Diabetes type 1']
+Scores: [0.19266092777252197]
+Labels: ['Diabetes type 2']
+Scores: [0.2262793630361557]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39683416
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Dietary Supplements', 'Female', 'Nutrition Surveys', 'Male', 'Middle Aged', 'Adult', 'United States', 'Diabetes Mellitus', 'Motivation', 'Aged', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06341420859098434]
+Labels: ['Diabetes']
+Scores: [0.9518632292747498]
+Labels: ['Cancer']
+Scores: [0.004659898579120636]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011910073459148407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004283730871975422]
+Labels: ['Mental Health']
+Scores: [0.014966259710490704]
+Labels: ['Diabetes type 1']
+Scores: [0.10586538165807724]
+Labels: ['Diabetes type 2']
+Scores: [0.1863831728696823]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681993
+Predictions: ['Diabetes']
+MeshTerm: ['Animals', 'Dogs', 'Dog Diseases', 'Fatty Liver', 'Tomography, X-Ray Computed', 'Male', 'Liver', 'Female', 'Diabetic Ketoacidosis', 'Diabetes Mellitus', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1385851949453354]
+Labels: ['Diabetes']
+Scores: [0.9659096002578735]
+Labels: ['Cancer']
+Scores: [0.016628995537757874]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12017229944467545]
+Labels: ['Cardiovascular diseases']
+Scores: [0.10406792163848877]
+Labels: ['Mental Health']
+Scores: [0.007075833156704903]
+Labels: ['Diabetes type 1']
+Scores: [0.28329649567604065]
+Labels: ['Diabetes type 2']
+Scores: [0.313461571931839]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681831
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Fear', 'Feeding Behavior', 'Diabetes Mellitus', 'Cognitive Behavioral Therapy', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02964024990797043]
+Labels: ['Diabetes']
+Scores: [0.9778596758842468]
+Labels: ['Cancer']
+Scores: [0.0017910307506099343]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010083008091896772]
+Labels: ['Cardiovascular diseases']
+Scores: [0.37112244963645935]
+Labels: ['Mental Health']
+Scores: [0.8115264773368835]
+Labels: ['Diabetes type 1']
+Scores: [0.2019856870174408]
+Labels: ['Diabetes type 2']
+Scores: [0.325470507144928]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39681614
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Polyradiculoneuropathy, Chronic Inflammatory Demyelinating', 'Male', 'Diabetic Neuropathies', 'Female', 'Middle Aged', 'Ultrasonography', 'Diagnosis, Differential', 'Aged', 'Neural Conduction', 'ROC Curve', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5891116857528687]
+Labels: ['Diabetes']
+Scores: [0.8969702124595642]
+Labels: ['Cancer']
+Scores: [0.027072040364146233]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16282609105110168]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08443018049001694]
+Labels: ['Mental Health']
+Scores: [0.2045471966266632]
+Labels: ['Diabetes type 1']
+Scores: [0.407039999961853]
+Labels: ['Diabetes type 2']
+Scores: [0.5348144173622131]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39681186
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Risk Factors', 'Nutrition Surveys', 'United States', 'Dementia', 'Adult', 'Prevalence', 'Diabetes Mellitus', 'Obesity', 'Smoking', 'Hypertension', 'Alcohol Drinking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08055323362350464]
+Labels: ['Diabetes']
+Scores: [0.7074516415596008]
+Labels: ['Cancer']
+Scores: [0.0009591398411430418]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005988722667098045]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002883219625800848]
+Labels: ['Mental Health']
+Scores: [0.004924999549984932]
+Labels: ['Diabetes type 1']
+Scores: [0.4278361201286316]
+Labels: ['Diabetes type 2']
+Scores: [0.5373701453208923]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680279
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Recurrence', 'Computer Simulation', 'Models, Statistical', 'Proportional Hazards Models', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09813693910837173]
+Labels: ['Diabetes']
+Scores: [0.8120695948600769]
+Labels: ['Cancer']
+Scores: [0.03778962418437004]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07331357896327972]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00829347688704729]
+Labels: ['Mental Health']
+Scores: [0.04726063460111618]
+Labels: ['Diabetes type 1']
+Scores: [0.30926671624183655]
+Labels: ['Diabetes type 2']
+Scores: [0.31783369183540344]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680083
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Bursitis', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Aged', 'Dilatation', 'Range of Motion, Articular', 'Shoulder Joint', 'Treatment Outcome', 'Pain Measurement', 'Adult', 'Diabetes Mellitus', 'Diabetes Complications']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001867766841314733]
+Labels: ['Diabetes']
+Scores: [0.026942100375890732]
+Labels: ['Cancer']
+Scores: [5.559637429541908e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003719554515555501]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011900125537067652]
+Labels: ['Mental Health']
+Scores: [0.00016491937276441604]
+Labels: ['Diabetes type 1']
+Scores: [0.0040156603790819645]
+Labels: ['Diabetes type 2']
+Scores: [0.005299228709191084]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39678201
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Food Insecurity', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Diabetes Mellitus', 'Adult', 'Social Class', 'Family Characteristics', 'Aged', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14302106201648712]
+Labels: ['Diabetes']
+Scores: [0.7542213797569275]
+Labels: ['Cancer']
+Scores: [0.0003442289889790118]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007644881261512637]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3806079924106598]
+Labels: ['Mental Health']
+Scores: [0.0003067611251026392]
+Labels: ['Diabetes type 1']
+Scores: [0.1085108295083046]
+Labels: ['Diabetes type 2']
+Scores: [0.20931701362133026]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39676179
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Holistic Health', 'Mind-Body Therapies', 'Diabetes Mellitus', 'Neurosecretory Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003309105522930622]
+Labels: ['Diabetes']
+Scores: [0.8097618222236633]
+Labels: ['Cancer']
+Scores: [0.0007497323676943779]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010601087473332882]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0021080810111016035]
+Labels: ['Mental Health']
+Scores: [0.009083854965865612]
+Labels: ['Diabetes type 1']
+Scores: [0.1192789375782013]
+Labels: ['Diabetes type 2']
+Scores: [0.11902626603841782]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39675484
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Prediabetic State', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Diabetes Mellitus', 'Nutrition Surveys', 'Adult', 'Aged', 'Body Mass Index', 'Cause of Death', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0012518683215603232]
+Labels: ['Diabetes']
+Scores: [0.9668441414833069]
+Labels: ['Cancer']
+Scores: [0.0007776503916829824]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003936458844691515]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6726493239402771]
+Labels: ['Mental Health']
+Scores: [0.0006383655127137899]
+Labels: ['Diabetes type 1']
+Scores: [0.16383695602416992]
+Labels: ['Diabetes type 2']
+Scores: [0.19702787697315216]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39674445
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Arsenic', 'Homeostasis', 'Animals', 'Glucose', 'Diabetes Mellitus', 'Microbiota', 'Gastrointestinal Microbiome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2693016529083252]
+Labels: ['Diabetes']
+Scores: [0.8975822925567627]
+Labels: ['Cancer']
+Scores: [0.03997262194752693]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06999606639146805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0362175852060318]
+Labels: ['Mental Health']
+Scores: [0.08705521374940872]
+Labels: ['Diabetes type 1']
+Scores: [0.6379743814468384]
+Labels: ['Diabetes type 2']
+Scores: [0.6427831649780273]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673957
+Predictions: ['Diabetes']
+MeshTerm: ['Acetone', 'Zinc Oxide', 'Biosensing Techniques', 'Humans', 'Optical Fibers', 'Diabetes Mellitus', 'Biomarkers', 'Limit of Detection', 'Breath Tests', 'Equipment Design', 'Volatile Organic Compounds', 'Fiber Optic Technology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5106553435325623]
+Labels: ['Diabetes']
+Scores: [0.9809137582778931]
+Labels: ['Cancer']
+Scores: [0.003182335291057825]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1837983876466751]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005734131205826998]
+Labels: ['Mental Health']
+Scores: [0.011918794363737106]
+Labels: ['Diabetes type 1']
+Scores: [0.278592586517334]
+Labels: ['Diabetes type 2']
+Scores: [0.4609532356262207]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673919
+Predictions: ['Diabetes', 'Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Incidence', 'Adult', 'Aged', 'Diabetes Mellitus', 'New Zealand', 'Young Adult', 'Registries', 'Cohort Studies', 'Adolescent', 'Aged, 80 and over', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5272477865219116]
+Labels: ['Diabetes']
+Scores: [0.823448896408081]
+Labels: ['Cancer']
+Scores: [0.9842323064804077]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00048156362026929855]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003478573344182223]
+Labels: ['Mental Health']
+Scores: [0.0012262271484360099]
+Labels: ['Diabetes type 1']
+Scores: [0.36145755648612976]
+Labels: ['Diabetes type 2']
+Scores: [0.45767682790756226]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cancer']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673498
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Quality of Life', 'Male', 'Female', 'Self Care', 'Primary Health Care', 'Middle Aged', 'Aged', 'Follow-Up Studies', 'Longitudinal Studies', 'Hypertension', 'Coronary Artery Disease', 'Diabetes Mellitus', 'Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0037462166510522366]
+Labels: ['Diabetes']
+Scores: [0.009222677908837795]
+Labels: ['Cancer']
+Scores: [0.0006037895218469203]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06131008639931679]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00032596843084320426]
+Labels: ['Mental Health']
+Scores: [0.0002974174276459962]
+Labels: ['Diabetes type 1']
+Scores: [0.04255567863583565]
+Labels: ['Diabetes type 2']
+Scores: [0.0561474971473217]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39672014
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Diabetes Mellitus', 'Artificial Intelligence', 'Machine Learning', 'Deep Learning', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.23554514348506927]
+Labels: ['Diabetes']
+Scores: [0.9897149205207825]
+Labels: ['Cancer']
+Scores: [0.00304850353859365]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018785258755087852]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008318201638758183]
+Labels: ['Mental Health']
+Scores: [0.008240548893809319]
+Labels: ['Diabetes type 1']
+Scores: [0.4113468527793884]
+Labels: ['Diabetes type 2']
+Scores: [0.5129544734954834]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39671511
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Male', 'Female', 'Cross-Sectional Studies', 'Hypertension', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Exercise', 'Coronary Artery Disease', 'Prospective Studies', 'Young Adult', 'Cardiometabolic Risk Factors', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0036793735343962908]
+Labels: ['Diabetes']
+Scores: [0.008145060390233994]
+Labels: ['Cancer']
+Scores: [0.002095613395795226]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020342511124908924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9368826746940613]
+Labels: ['Mental Health']
+Scores: [0.009531180374324322]
+Labels: ['Diabetes type 1']
+Scores: [0.005147728603333235]
+Labels: ['Diabetes type 2']
+Scores: [0.008510250598192215]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39671417
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Hypertension', 'Female', 'Male', 'COVID-19', 'Adult', 'Diabetes Mellitus', 'Middle Aged', 'Puerto Rico', 'COVID-19 Vaccines', 'Aged', 'Surveys and Questionnaires', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9466953873634338]
+Labels: ['Diabetes']
+Scores: [0.7557091116905212]
+Labels: ['Cancer']
+Scores: [0.0004915250465273857]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010931676952168345]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6612774133682251]
+Labels: ['Mental Health']
+Scores: [0.0006719589000567794]
+Labels: ['Diabetes type 1']
+Scores: [0.11337418109178543]
+Labels: ['Diabetes type 2']
+Scores: [0.16128362715244293]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39670874
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Adult', 'Liver Diseases', 'Aged', 'Analgesics, Opioid', 'United States', 'Liver Cirrhosis', 'Chronic Disease', 'Cohort Studies', 'Liver Neoplasms', 'Diabetes Mellitus', 'Logistic Models', 'Arthritis', 'Health Surveys', 'Chronic Pain', 'Hepatitis, Viral, Human', 'Renal Insufficiency, Chronic', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010642221197485924]
+Labels: ['Diabetes']
+Scores: [0.0016329041682183743]
+Labels: ['Cancer']
+Scores: [0.0007688276236876845]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0013425530632957816]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006037410930730402]
+Labels: ['Mental Health']
+Scores: [0.0006275182240642607]
+Labels: ['Diabetes type 1']
+Scores: [0.002755899680778384]
+Labels: ['Diabetes type 2']
+Scores: [0.0027134190313518047]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39670442
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Animals', 'Lipocalin-2', 'Diabetic Neuropathies', 'Oxidative Stress', 'Molecular Targeted Therapy', 'Quality of Life', 'Cognitive Dysfunction', 'Drug Development', 'Blood-Brain Barrier', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.40530386567115784]
+Labels: ['Diabetes']
+Scores: [0.9887446165084839]
+Labels: ['Cancer']
+Scores: [0.003681537928059697]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009644064120948315]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0067072538658976555]
+Labels: ['Mental Health']
+Scores: [0.029392117634415627]
+Labels: ['Diabetes type 1']
+Scores: [0.338687539100647]
+Labels: ['Diabetes type 2']
+Scores: [0.9498689770698547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39670363
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Computational Biology', 'Diabetes Mellitus', 'Benchmarking', 'Blood Glucose', 'Wearable Electronic Devices', 'Smartphone', 'Mobile Applications', 'Language', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014977813698351383]
+Labels: ['Diabetes']
+Scores: [0.9010517597198486]
+Labels: ['Cancer']
+Scores: [0.013490820303559303]
+Labels: ['Chronic respiratory disease']
+Scores: [0.035399291664361954]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013729945756494999]
+Labels: ['Mental Health']
+Scores: [0.01910734549164772]
+Labels: ['Diabetes type 1']
+Scores: [0.3400248885154724]
+Labels: ['Diabetes type 2']
+Scores: [0.5090245604515076]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39667764
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Diabetic Foot', 'Osteomyelitis', 'Diabetes Mellitus', 'Anti-Infective Agents, Local']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1727551817893982]
+Labels: ['Diabetes']
+Scores: [0.9700705409049988]
+Labels: ['Cancer']
+Scores: [0.004754368215799332]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010565174743533134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008893419988453388]
+Labels: ['Mental Health']
+Scores: [0.027966206893324852]
+Labels: ['Diabetes type 1']
+Scores: [0.1100342869758606]
+Labels: ['Diabetes type 2']
+Scores: [0.1340865194797516]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666834
+Predictions: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Aged', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1509029120206833]
+Labels: ['Diabetes']
+Scores: [0.9212558269500732]
+Labels: ['Cancer']
+Scores: [0.017483310773968697]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05800757184624672]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8262049555778503]
+Labels: ['Mental Health']
+Scores: [0.06665602326393127]
+Labels: ['Diabetes type 1']
+Scores: [0.16539937257766724]
+Labels: ['Diabetes type 2']
+Scores: [0.2901538908481598]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666732
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Insulin', 'Aged', 'Diabetes Mellitus', 'Hospitalization', 'Frail Elderly', 'Hypoglycemic Agents', 'Female', 'Male', 'Hospitals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2192075401544571]
+Labels: ['Diabetes']
+Scores: [0.8689891695976257]
+Labels: ['Cancer']
+Scores: [0.007102826610207558]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006788523402065039]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0038809587713330984]
+Labels: ['Mental Health']
+Scores: [0.022617850452661514]
+Labels: ['Diabetes type 1']
+Scores: [0.487397164106369]
+Labels: ['Diabetes type 2']
+Scores: [0.6790217757225037]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666445
+Predictions: ['Diabetes']
+MeshTerm: ['Bone Regeneration', 'Humans', 'Drug Delivery Systems', 'Animals', 'Diabetes Mellitus', 'Neovascularization, Physiologic', 'Osteogenesis', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24160517752170563]
+Labels: ['Diabetes']
+Scores: [0.9592009782791138]
+Labels: ['Cancer']
+Scores: [0.015853507444262505]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05260274559259415]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09877081215381622]
+Labels: ['Mental Health']
+Scores: [0.07805651426315308]
+Labels: ['Diabetes type 1']
+Scores: [0.23159101605415344]
+Labels: ['Diabetes type 2']
+Scores: [0.3309045433998108]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.053912997245788574]
+Labels: ['Diabetes']
+Scores: [0.9144721031188965]
+Labels: ['Cancer']
+Scores: [0.017046082764863968]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03713127598166466]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014957355335354805]
+Labels: ['Mental Health']
+Scores: [0.04764922335743904]
+Labels: ['Diabetes type 1']
+Scores: [0.49288034439086914]
+Labels: ['Diabetes type 2']
+Scores: [0.8969991207122803]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39666397
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'COVID-19', 'Invasive Pulmonary Aspergillosis', 'Retrospective Studies', 'Case-Control Studies', 'Aged', 'Severity of Illness Index', 'SARS-CoV-2', 'Smoking', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0018812214257195592]
+Labels: ['Diabetes']
+Scores: [0.37388235330581665]
+Labels: ['Cancer']
+Scores: [0.0013080674689263105]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8583388328552246]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8111331462860107]
+Labels: ['Mental Health']
+Scores: [0.004498795140534639]
+Labels: ['Diabetes type 1']
+Scores: [0.09580691903829575]
+Labels: ['Diabetes type 2']
+Scores: [0.19423821568489075]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665943
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Vascular Stiffness', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Middle Aged', 'Hypertension', 'Glomerular Filtration Rate', 'Aged', 'Biomarkers', 'Albuminuria', 'Kidney', 'Cross-Sectional Studies', 'Diabetes Mellitus']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4905600845813751]
+Labels: ['Diabetes']
+Scores: [0.2702830135822296]
+Labels: ['Cancer']
+Scores: [0.0017915137577801943]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11343557387590408]
+Labels: ['Cardiovascular diseases']
+Scores: [0.4215596914291382]
+Labels: ['Mental Health']
+Scores: [0.0010614971397444606]
+Labels: ['Diabetes type 1']
+Scores: [0.07359456270933151]
+Labels: ['Diabetes type 2']
+Scores: [0.1202225312590599]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39665157
+Predictions: ['Diabetes']
+MeshTerm: ['Humans', 'Protein Glutamine gamma Glutamyltransferase 2', 'Transglutaminases', 'Male', 'Female', 'Aged', 'Vasodilation', 'Endothelium, Vascular', 'GTP-Binding Proteins', 'Arteries', 'Vascular Resistance', 'Sex Factors', 'Diabetes Mellitus', 'Vasodilator Agents', 'Enzyme Inhibitors', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2385977953672409]
+Labels: ['Diabetes']
+Scores: [0.8966067433357239]
+Labels: ['Cancer']
+Scores: [0.010244370438158512]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09790244698524475]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8868632316589355]
+Labels: ['Mental Health']
+Scores: [0.012065943330526352]
+Labels: ['Diabetes type 1']
+Scores: [0.3803977370262146]
+Labels: ['Diabetes type 2']
+Scores: [0.6923384070396423]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738287
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Prognosis', 'Tumor Microenvironment', 'Melanoma', 'Gene Expression Regulation, Neoplastic', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21883097290992737]
+Labels: ['Diabetes']
+Scores: [0.07137589901685715]
+Labels: ['Cancer']
+Scores: [0.8838635683059692]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08109792321920395]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0230973269790411]
+Labels: ['Mental Health']
+Scores: [0.04692928493022919]
+Labels: ['Diabetes type 1']
+Scores: [0.18334929645061493]
+Labels: ['Diabetes type 2']
+Scores: [0.17265987396240234]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738156
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Precision Medicine', 'Genome, Human', 'Theranostic Nanomedicine', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24422580003738403]
+Labels: ['Diabetes']
+Scores: [0.20417481660842896]
+Labels: ['Cancer']
+Scores: [0.9535807967185974]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2585209012031555]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19151076674461365]
+Labels: ['Mental Health']
+Scores: [0.17171314358711243]
+Labels: ['Diabetes type 1']
+Scores: [0.2907333970069885]
+Labels: ['Diabetes type 2']
+Scores: [0.2890307307243347]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738052
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mutation', 'Neoplasms', 'Precision Medicine', 'Genomics', 'Immunotherapy', 'Carcinoma, Non-Small-Cell Lung', 'Machine Learning', 'Female', 'Male', 'Treatment Outcome', 'Electronic Health Records', 'Lung Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09891895204782486]
+Labels: ['Diabetes']
+Scores: [0.02752060256898403]
+Labels: ['Cancer']
+Scores: [0.9682578444480896]
+Labels: ['Chronic respiratory disease']
+Scores: [0.4172423779964447]
+Labels: ['Cardiovascular diseases']
+Scores: [0.022982286289334297]
+Labels: ['Mental Health']
+Scores: [0.048466507345438004]
+Labels: ['Diabetes type 1']
+Scores: [0.07676070928573608]
+Labels: ['Diabetes type 2']
+Scores: [0.07121351361274719]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738026
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'DNA Replication', 'Mutagenesis', 'Pancreatic Neoplasms', 'Neoplasms', 'Cell Line, Tumor', 'DNA Copy Number Variations', 'G-Quadruplexes', 'Gene Rearrangement', 'Carcinoma, Pancreatic Ductal', 'DNA Repair', 'Mutation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08972326666116714]
+Labels: ['Diabetes']
+Scores: [0.012560988776385784]
+Labels: ['Cancer']
+Scores: [0.9774208068847656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017225148156285286]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021191898733377457]
+Labels: ['Mental Health']
+Scores: [0.10973918437957764]
+Labels: ['Diabetes type 1']
+Scores: [0.06629298627376556]
+Labels: ['Diabetes type 2']
+Scores: [0.05133382976055145]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738003
+Predictions: ['Cancer']
+MeshTerm: ["5'-Nucleotidase", 'Animals', 'Humans', 'Mice', 'GPI-Linked Proteins', 'Epitopes', 'Cell Line, Tumor', 'Xenograft Model Antitumor Assays', 'Cell Proliferation', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'T-Lymphocytes', 'Antibodies, Monoclonal', 'Mice, Inbred BALB C', 'Combined Antibody Therapeutics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18585394322872162]
+Labels: ['Diabetes']
+Scores: [0.02005670964717865]
+Labels: ['Cancer']
+Scores: [0.9753038287162781]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06808196753263474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.044895026832818985]
+Labels: ['Mental Health']
+Scores: [0.07735390961170197]
+Labels: ['Diabetes type 1']
+Scores: [0.04827496036887169]
+Labels: ['Diabetes type 2']
+Scores: [0.04484860599040985]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737979
+Predictions: ['Cancer']
+MeshTerm: ['Pyroptosis', 'Animals', 'Mice', 'Inflammasomes', 'Mice, Inbred C57BL', 'Humans', 'Cell Line, Tumor', 'Cytokines', 'Melanoma, Experimental', 'Interleukin-18', 'Interleukin-1beta', 'Phosphate-Binding Proteins', 'Intracellular Signaling Peptides and Proteins', 'Neoplasms', 'Female', 'Interferon-gamma', 'Interleukin-12', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1266298145055771]
+Labels: ['Diabetes']
+Scores: [0.03540392220020294]
+Labels: ['Cancer']
+Scores: [0.7682617902755737]
+Labels: ['Chronic respiratory disease']
+Scores: [0.21223565936088562]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0789608359336853]
+Labels: ['Mental Health']
+Scores: [0.10022468864917755]
+Labels: ['Diabetes type 1']
+Scores: [0.061914145946502686]
+Labels: ['Diabetes type 2']
+Scores: [0.05543148145079613]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737928
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunotherapy', 'Neoplasms', 'Histocompatibility Antigens Class I', 'Peptides', 'Antigen Presentation', 'Cancer Vaccines', 'Alleles', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09455560892820358]
+Labels: ['Diabetes']
+Scores: [0.06552647054195404]
+Labels: ['Cancer']
+Scores: [0.9134160280227661]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17575852572917938]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06054551526904106]
+Labels: ['Mental Health']
+Scores: [0.03712727501988411]
+Labels: ['Diabetes type 1']
+Scores: [0.15807589888572693]
+Labels: ['Diabetes type 2']
+Scores: [0.13772477209568024]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737671
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Antineoplastic Agents', 'Molecular Structure', 'Neoplasms', 'Nitrogen', 'Structure-Activity Relationship', 'Triazoles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0657455250620842]
+Labels: ['Diabetes']
+Scores: [0.011290169321000576]
+Labels: ['Cancer']
+Scores: [0.9190897941589355]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03630868345499039]
+Labels: ['Cardiovascular diseases']
+Scores: [0.022421935573220253]
+Labels: ['Mental Health']
+Scores: [0.04593226686120033]
+Labels: ['Diabetes type 1']
+Scores: [0.048334453254938126]
+Labels: ['Diabetes type 2']
+Scores: [0.03760809451341629]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737633
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Child', 'Male', 'Female', 'Child, Preschool', 'Retrospective Studies', 'Turkey', 'Adolescent', 'Measles-Mumps-Rubella Vaccine', 'Neoplasms', 'Antibodies, Viral', 'Infant', 'Vaccination', 'Hepatitis B Vaccines', 'Chickenpox Vaccine', 'Hepatitis A Vaccines', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00042916962411254644]
+Labels: ['Diabetes']
+Scores: [0.00042658770689740777]
+Labels: ['Cancer']
+Scores: [0.9794703125953674]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011775186285376549]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017695150745566934]
+Labels: ['Mental Health']
+Scores: [0.0002546526666264981]
+Labels: ['Diabetes type 1']
+Scores: [0.0013564317487180233]
+Labels: ['Diabetes type 2']
+Scores: [0.0013276912504807115]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737568
+Predictions: ['Cancer']
+MeshTerm: ['Neoplasms', 'Humans', 'Benchmarking', 'Algorithms', 'Computational Biology', 'Protein Interaction Maps', 'Protein Interaction Mapping', 'Gene Regulatory Networks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17026615142822266]
+Labels: ['Diabetes']
+Scores: [0.059956345707178116]
+Labels: ['Cancer']
+Scores: [0.9521704912185669]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09236263483762741]
+Labels: ['Cardiovascular diseases']
+Scores: [0.022932250052690506]
+Labels: ['Mental Health']
+Scores: [0.04563635215163231]
+Labels: ['Diabetes type 1']
+Scores: [0.1167089119553566]
+Labels: ['Diabetes type 2']
+Scores: [0.0991705060005188]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737564
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Germ-Line Mutation', 'Neoplasms', 'Reproducibility of Results', 'Mutation', 'Computational Biology', 'Genomics', 'Lung Neoplasms', 'Biomarkers, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0945642963051796]
+Labels: ['Diabetes']
+Scores: [0.04323533922433853]
+Labels: ['Cancer']
+Scores: [0.9095465540885925]
+Labels: ['Chronic respiratory disease']
+Scores: [0.47717371582984924]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06204335764050484]
+Labels: ['Mental Health']
+Scores: [0.06415550410747528]
+Labels: ['Diabetes type 1']
+Scores: [0.14439059793949127]
+Labels: ['Diabetes type 2']
+Scores: [0.16507859528064728]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737563
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Biomarkers, Tumor', 'Machine Learning', 'Neoplasms', 'Computational Biology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.39075592160224915]
+Labels: ['Diabetes']
+Scores: [0.01813531294465065]
+Labels: ['Cancer']
+Scores: [0.9553545713424683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07848548144102097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.026571109890937805]
+Labels: ['Mental Health']
+Scores: [0.023229049518704414]
+Labels: ['Diabetes type 1']
+Scores: [0.08266431838274002]
+Labels: ['Diabetes type 2']
+Scores: [0.08065775036811829]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737507
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Male', 'Female', 'Aged', 'Global Health', 'Middle Aged', 'Incidence', 'Aged, 80 and over', 'Global Burden of Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14590445160865784]
+Labels: ['Diabetes']
+Scores: [0.038660675287246704]
+Labels: ['Cancer']
+Scores: [0.9434545636177063]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2154465913772583]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04615058749914169]
+Labels: ['Mental Health']
+Scores: [0.11160580813884735]
+Labels: ['Diabetes type 1']
+Scores: [0.11165367066860199]
+Labels: ['Diabetes type 2']
+Scores: [0.10742674022912979]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737190
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Nucleotidyltransferases', 'Signal Transduction', 'Membrane Proteins', 'Medicine, Chinese Traditional', 'Animals', 'Neoplasms', 'Drugs, Chinese Herbal', 'Immunity, Innate', 'Autoimmune Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10736481100320816]
+Labels: ['Diabetes']
+Scores: [0.05876212939620018]
+Labels: ['Cancer']
+Scores: [0.3544152081012726]
+Labels: ['Chronic respiratory disease']
+Scores: [0.316867858171463]
+Labels: ['Cardiovascular diseases']
+Scores: [0.046839144080877304]
+Labels: ['Mental Health']
+Scores: [0.02190212346613407]
+Labels: ['Diabetes type 1']
+Scores: [0.1573849767446518]
+Labels: ['Diabetes type 2']
+Scores: [0.16055941581726074]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737177
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Biomarkers, Tumor', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Cell Line, Tumor', 'Membrane Proteins', 'Immunotherapy', 'Female', 'Male', 'Tumor Microenvironment', 'Lymphocytes, Tumor-Infiltrating', 'DNA Copy Number Variations']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004040611907839775]
+Labels: ['Diabetes']
+Scores: [0.0016457097372040153]
+Labels: ['Cancer']
+Scores: [0.9646216034889221]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00637571606785059]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010034089209511876]
+Labels: ['Mental Health']
+Scores: [0.0012870571808889508]
+Labels: ['Diabetes type 1']
+Scores: [0.00476097734645009]
+Labels: ['Diabetes type 2']
+Scores: [0.0037345909513533115]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736787
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Antibodies, Monoclonal, Humanized', 'Aged', 'Adult', 'Lymphocyte Activation Gene 3 Protein', 'Programmed Cell Death 1 Receptor', 'Antineoplastic Combined Chemotherapy Protocols', 'Neoplasms', 'Immune Checkpoint Inhibitors', 'Antigens, CD']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003797602257691324]
+Labels: ['Diabetes']
+Scores: [0.00018759231898002326]
+Labels: ['Cancer']
+Scores: [0.05950850993394852]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00023545019212178886]
+Labels: ['Cardiovascular diseases']
+Scores: [9.178109030472115e-05]
+Labels: ['Mental Health']
+Scores: [0.00012481705925893039]
+Labels: ['Diabetes type 1']
+Scores: [0.0004198628885205835]
+Labels: ['Diabetes type 2']
+Scores: [0.0004709478234872222]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736754
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Iran', 'Health Services Accessibility', 'Antineoplastic Agents', 'Neoplasms', 'Health Policy', 'Social Network Analysis', 'Policy Making', 'Stakeholder Participation', 'Surveys and Questionnaires', 'Social Networking', 'Drug Industry']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07206776738166809]
+Labels: ['Diabetes']
+Scores: [0.0006601018249057233]
+Labels: ['Cancer']
+Scores: [0.9497376084327698]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010997001081705093]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00048709215479902923]
+Labels: ['Mental Health']
+Scores: [0.002245076233521104]
+Labels: ['Diabetes type 1']
+Scores: [0.002090007998049259]
+Labels: ['Diabetes type 2']
+Scores: [0.0018691160948947072]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736712
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patient-Centered Care', 'Neoplasms', 'Interprofessional Relations', 'Interprofessional Education', 'Patient Care Team', 'Health Personnel', 'Cooperative Behavior']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014670566655695438]
+Labels: ['Diabetes']
+Scores: [0.004979073069989681]
+Labels: ['Cancer']
+Scores: [0.9375937581062317]
+Labels: ['Chronic respiratory disease']
+Scores: [0.041207749396562576]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009253199095837772]
+Labels: ['Mental Health']
+Scores: [0.0014531598426401615]
+Labels: ['Diabetes type 1']
+Scores: [0.0638979971408844]
+Labels: ['Diabetes type 2']
+Scores: [0.05780966952443123]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03347767889499664]
+Labels: ['Diabetes']
+Scores: [0.004403223749250174]
+Labels: ['Cancer']
+Scores: [0.877124547958374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01172280590981245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8876885771751404]
+Labels: ['Mental Health']
+Scores: [0.0018215678865090013]
+Labels: ['Diabetes type 1']
+Scores: [0.008391807787120342]
+Labels: ['Diabetes type 2']
+Scores: [0.009219110012054443]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736601
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Female', 'Male', 'Middle Aged', 'Adult', 'Self Efficacy', 'Surveys and Questionnaires', 'Latent Class Analysis', 'Aged', 'Socioeconomic Factors', 'Avoidance Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09179531037807465]
+Labels: ['Diabetes']
+Scores: [0.0011522152926772833]
+Labels: ['Cancer']
+Scores: [0.7987920641899109]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010135003365576267]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001154144061729312]
+Labels: ['Mental Health']
+Scores: [0.005111082457005978]
+Labels: ['Diabetes type 1']
+Scores: [0.007810182403773069]
+Labels: ['Diabetes type 2']
+Scores: [0.007511015050113201]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736556
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Information Seeking Behavior', 'Early Detection of Cancer', 'Qualitative Research', 'Neoplasms', 'Needs Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004493030719459057]
+Labels: ['Diabetes']
+Scores: [0.001043331460095942]
+Labels: ['Cancer']
+Scores: [0.9178314805030823]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002337501384317875]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00030917712138034403]
+Labels: ['Mental Health']
+Scores: [0.0006404623272828758]
+Labels: ['Diabetes type 1']
+Scores: [0.005433073733001947]
+Labels: ['Diabetes type 2']
+Scores: [0.004435549024492502]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736554
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Middle East', 'Male', 'Africa, Northern', 'Neoplasms', 'Incidence', 'Female', 'Child', 'Adolescent', 'Child, Preschool', 'Infant', 'Health Status Disparities', 'Socioeconomic Factors', 'Young Adult', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03123393841087818]
+Labels: ['Diabetes']
+Scores: [0.0031808153726160526]
+Labels: ['Cancer']
+Scores: [0.842738926410675]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023935409262776375]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013979225186631083]
+Labels: ['Mental Health']
+Scores: [0.003671840066090226]
+Labels: ['Diabetes type 1']
+Scores: [0.021027198061347008]
+Labels: ['Diabetes type 2']
+Scores: [0.014454897493124008]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736368
+Predictions: ['Cancer']
+MeshTerm: ['Ferroptosis', 'Photochemotherapy', 'Humans', 'Photosensitizing Agents', 'Reactive Oxygen Species', 'Neoplasms', 'Lipid Peroxidation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10465880483388901]
+Labels: ['Diabetes']
+Scores: [0.026142114773392677]
+Labels: ['Cancer']
+Scores: [0.9071401953697205]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16969142854213715]
+Labels: ['Cardiovascular diseases']
+Scores: [0.057801395654678345]
+Labels: ['Mental Health']
+Scores: [0.15498678386211395]
+Labels: ['Diabetes type 1']
+Scores: [0.06461590528488159]
+Labels: ['Diabetes type 2']
+Scores: [0.0545603409409523]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736217
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Bacteria', 'Surface Properties', 'Animals', 'Biological Products', 'Neoplasms', 'Biological Therapy', 'Biocompatible Materials']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10326825827360153]
+Labels: ['Diabetes']
+Scores: [0.034357041120529175]
+Labels: ['Cancer']
+Scores: [0.5324734449386597]
+Labels: ['Chronic respiratory disease']
+Scores: [0.055995192378759384]
+Labels: ['Cardiovascular diseases']
+Scores: [0.051050156354904175]
+Labels: ['Mental Health']
+Scores: [0.05897585302591324]
+Labels: ['Diabetes type 1']
+Scores: [0.10947651416063309]
+Labels: ['Diabetes type 2']
+Scores: [0.09516339749097824]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736186
+Predictions: ['Cancer']
+MeshTerm: ['Spectrum Analysis, Raman', 'Humans', 'N-Acetylneuraminic Acid', 'Biomarkers, Tumor', 'Neoplasms', 'Animals', 'Polysaccharides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07520369440317154]
+Labels: ['Diabetes']
+Scores: [0.0183174479752779]
+Labels: ['Cancer']
+Scores: [0.9293465614318848]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06975457817316055]
+Labels: ['Cardiovascular diseases']
+Scores: [0.041867952793836594]
+Labels: ['Mental Health']
+Scores: [0.07542841136455536]
+Labels: ['Diabetes type 1']
+Scores: [0.04378419369459152]
+Labels: ['Diabetes type 2']
+Scores: [0.04311878979206085]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736017
+Predictions: ['Cancer']
+MeshTerm: ['Mesenchymal Stem Cells', 'Neoplasms', 'Gene Expression', 'Humans', 'HeLa Cells', 'MCF-7 Cells', 'A549 Cells', 'Reference Values', 'Genes, Essential', 'Real-Time Polymerase Chain Reaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005106124561280012]
+Labels: ['Diabetes']
+Scores: [0.003800364211201668]
+Labels: ['Cancer']
+Scores: [0.946792483329773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003013087436556816]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018171535339206457]
+Labels: ['Mental Health']
+Scores: [0.0029198545962572098]
+Labels: ['Diabetes type 1']
+Scores: [0.005470139905810356]
+Labels: ['Diabetes type 2']
+Scores: [0.005157605279237032]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735992
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cell Line, Tumor', 'Transcriptome', 'Neoplasms', 'Gene Fusion', 'Sequence Analysis, RNA', 'Gene Expression Profiling', 'Oncogene Proteins, Fusion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000262599642155692]
+Labels: ['Diabetes']
+Scores: [0.001592719811014831]
+Labels: ['Cancer']
+Scores: [0.9864580035209656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002004780573770404]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020629147184081376]
+Labels: ['Mental Health']
+Scores: [0.00048056806554086506]
+Labels: ['Diabetes type 1']
+Scores: [0.00966304074972868]
+Labels: ['Diabetes type 2']
+Scores: [0.007076996844261885]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735988
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Warburg Effect, Oncologic', 'Neoplasms', 'Glycolysis', 'Animals', 'Oxidative Phosphorylation', 'Energy Metabolism', 'Mitochondria', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0666244775056839]
+Labels: ['Diabetes']
+Scores: [0.04188242927193642]
+Labels: ['Cancer']
+Scores: [0.9848682284355164]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19214031100273132]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1061573401093483]
+Labels: ['Mental Health']
+Scores: [0.08658158779144287]
+Labels: ['Diabetes type 1']
+Scores: [0.0779312327504158]
+Labels: ['Diabetes type 2']
+Scores: [0.07100315392017365]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735979
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aneuploidy', 'Machine Learning', 'Neoplasms', 'Myristoylated Alanine-Rich C Kinase Substrate', 'Membrane Proteins', 'Gene Expression Regulation, Neoplastic', 'Cell Proliferation', 'Cytoskeletal Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012566701509058475]
+Labels: ['Diabetes']
+Scores: [0.0004046275862492621]
+Labels: ['Cancer']
+Scores: [0.9651936292648315]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00030608760425820947]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015756924403831363]
+Labels: ['Mental Health']
+Scores: [0.00015651248395442963]
+Labels: ['Diabetes type 1']
+Scores: [0.0018471379298716784]
+Labels: ['Diabetes type 2']
+Scores: [0.001978204119950533]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735978
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immunity, Innate', 'Tumor-Associated Macrophages', 'Neoplasms', 'Tumor Microenvironment', 'Phenotype', 'Animals', 'Epigenesis, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013882994651794434]
+Labels: ['Diabetes']
+Scores: [0.005957041401416063]
+Labels: ['Cancer']
+Scores: [0.8096491694450378]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05451303347945213]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014478526078164577]
+Labels: ['Mental Health']
+Scores: [0.007989933714270592]
+Labels: ['Diabetes type 1']
+Scores: [0.014227774925529957]
+Labels: ['Diabetes type 2']
+Scores: [0.013878468424081802]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Disease Progression', 'Heterogeneous-Nuclear Ribonucleoprotein Group C', 'Neoplasms', 'Tumor Microenvironment', 'Prognosis', 'Gene Expression Regulation, Neoplastic', 'Liver Neoplasms', 'Cell Line, Tumor', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0013791169039905071]
+Labels: ['Diabetes']
+Scores: [0.0010246310848742723]
+Labels: ['Cancer']
+Scores: [0.968533992767334]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005032078828662634]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00034319801488891244]
+Labels: ['Mental Health']
+Scores: [0.0004832999547943473]
+Labels: ['Diabetes type 1']
+Scores: [0.0035657978150993586]
+Labels: ['Diabetes type 2']
+Scores: [0.003208694513887167]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735681
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Nanoparticles', 'Drug Delivery Systems', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.043906569480895996]
+Labels: ['Diabetes']
+Scores: [0.019706835970282555]
+Labels: ['Cancer']
+Scores: [0.8918409943580627]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16834908723831177]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012450297363102436]
+Labels: ['Mental Health']
+Scores: [0.07849950343370438]
+Labels: ['Diabetes type 1']
+Scores: [0.10704983025789261]
+Labels: ['Diabetes type 2']
+Scores: [0.08553572744131088]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735536
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'CD28 Antigens', 'Mice', 'Cell Adhesion Molecules', 'Neoplasms', 'Lymphocyte Activation', 'Cell Line, Tumor', 'Immunotherapy, Adoptive', 'T-Lymphocytes', 'Receptors, Antigen, T-Cell', 'Xenograft Model Antitumor Assays', 'Female', 'Nectins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13563352823257446]
+Labels: ['Diabetes']
+Scores: [0.001589002669788897]
+Labels: ['Cancer']
+Scores: [0.924136757850647]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002031927229836583]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000660173362120986]
+Labels: ['Mental Health']
+Scores: [0.0024450267665088177]
+Labels: ['Diabetes type 1']
+Scores: [0.005329919047653675]
+Labels: ['Diabetes type 2']
+Scores: [0.004787416663020849]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735534
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Immunotherapy', 'Neoplasms', 'Combined Modality Therapy', 'Humans', 'Ultrasonic Therapy', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0013715180102735758]
+Labels: ['Diabetes']
+Scores: [0.0005025824648328125]
+Labels: ['Cancer']
+Scores: [0.7779619097709656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00036140819429419935]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001955838961293921]
+Labels: ['Mental Health']
+Scores: [0.00022172452008817345]
+Labels: ['Diabetes type 1']
+Scores: [0.001472839037887752]
+Labels: ['Diabetes type 2']
+Scores: [0.0014316041488200426]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735533
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Metabolomics', 'Male', 'Female', 'Biomarkers, Tumor', 'Middle Aged', 'Aged', 'Stomach Neoplasms', 'Colorectal Neoplasms', 'Metabolome', 'Adult', 'Lung Neoplasms', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.022845592349767685]
+Labels: ['Diabetes']
+Scores: [0.0016972434241324663]
+Labels: ['Cancer']
+Scores: [0.6518934369087219]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010086990892887115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000921857834327966]
+Labels: ['Mental Health']
+Scores: [0.0016958725173026323]
+Labels: ['Diabetes type 1']
+Scores: [0.019732726737856865]
+Labels: ['Diabetes type 2']
+Scores: [0.016071731224656105]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734197
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', '5-Methylcytosine', 'DNA Methylation', 'DNA Transposable Elements', 'Epigenesis, Genetic', 'Nanopore Sequencing', 'Nanopores', 'Neoplasms', 'Sequence Analysis, DNA']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07295434176921844]
+Labels: ['Diabetes']
+Scores: [0.051537226885557175]
+Labels: ['Cancer']
+Scores: [0.8547882437705994]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09214797616004944]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0399099700152874]
+Labels: ['Mental Health']
+Scores: [0.061773788183927536]
+Labels: ['Diabetes type 1']
+Scores: [0.14425566792488098]
+Labels: ['Diabetes type 2']
+Scores: [0.12460053712129593]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733511
+Predictions: ['Cancer']
+MeshTerm: ['Protein-Arginine N-Methyltransferases', 'Humans', 'Enzyme Inhibitors', 'Neoplasms', 'Antineoplastic Agents', 'Molecular Structure', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04883778095245361]
+Labels: ['Diabetes']
+Scores: [0.049864184111356735]
+Labels: ['Cancer']
+Scores: [0.8966487646102905]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1309100240468979]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04097664728760719]
+Labels: ['Mental Health']
+Scores: [0.05026807263493538]
+Labels: ['Diabetes type 1']
+Scores: [0.10762733966112137]
+Labels: ['Diabetes type 2']
+Scores: [0.09126107394695282]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733440
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Occupational Exposure', 'Occupational Diseases', 'Carcinogens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05398429185152054]
+Labels: ['Diabetes']
+Scores: [0.020847314968705177]
+Labels: ['Cancer']
+Scores: [0.7539107799530029]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1277133673429489]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02159762755036354]
+Labels: ['Mental Health']
+Scores: [0.04532473906874657]
+Labels: ['Diabetes type 1']
+Scores: [0.07377749681472778]
+Labels: ['Diabetes type 2']
+Scores: [0.07042258232831955]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733439
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Antigen Presentation', 'Immunotherapy', 'Neoplasms', 'Antigens, Neoplasm', 'Immune Checkpoint Inhibitors', 'HLA Antigens']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031016025692224503]
+Labels: ['Diabetes']
+Scores: [0.010457256808876991]
+Labels: ['Cancer']
+Scores: [0.5051677823066711]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0840381309390068]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019712252542376518]
+Labels: ['Mental Health']
+Scores: [0.015840105712413788]
+Labels: ['Diabetes type 1']
+Scores: [0.0256803035736084]
+Labels: ['Diabetes type 2']
+Scores: [0.02253606542944908]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733429
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Registries', 'Female', 'Male', 'Tunisia', 'Neoplasms', 'Incidence', 'Middle Aged', 'Adult', 'Aged', 'Adolescent', 'Young Adult', 'Infant, Newborn', 'Infant', 'Child', 'Child, Preschool', 'Follow-Up Studies', 'Prognosis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08290102332830429]
+Labels: ['Diabetes']
+Scores: [0.001334282336756587]
+Labels: ['Cancer']
+Scores: [0.9867124557495117]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022188501432538033]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002686563180759549]
+Labels: ['Mental Health']
+Scores: [0.0030565056949853897]
+Labels: ['Diabetes type 1']
+Scores: [0.006699627265334129]
+Labels: ['Diabetes type 2']
+Scores: [0.005587148945778608]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733076
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Mitochondria', 'Gene Expression Regulation, Neoplastic', 'Biomarkers, Tumor', 'Prognosis', 'Genomics', 'Cell Proliferation', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07422193139791489]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.1818886697292328]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04129515588283539]
+Labels: ['Mental Health']
+Scores: [0.07674048095941544]
+Labels: ['Diabetes type 1']
+Scores: [0.08774223923683167]
+Labels: ['Diabetes type 2']
+Scores: [0.07728753238916397]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732961
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Transcription Factors', 'Proto-Oncogene Proteins c-ets', 'Prognosis', 'Neoplasms', 'Gene Expression Regulation, Neoplastic', 'Tumor Microenvironment', 'Adenovirus E1A Proteins', 'DNA-Binding Proteins', 'Kaplan-Meier Estimate', 'Gene Expression Profiling']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016132816672325134]
+Labels: ['Diabetes']
+Scores: [0.010445167310535908]
+Labels: ['Cancer']
+Scores: [0.9263821840286255]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0618923082947731]
+Labels: ['Cardiovascular diseases']
+Scores: [0.017075669020414352]
+Labels: ['Mental Health']
+Scores: [0.021782562136650085]
+Labels: ['Diabetes type 1']
+Scores: [0.027288049459457397]
+Labels: ['Diabetes type 2']
+Scores: [0.025087619200348854]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732661
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Fever of Unknown Origin', 'Prospective Studies', 'Female', 'Male', 'China', 'Middle Aged', 'Adult', 'Aged', 'Neoplasms', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001760784420184791]
+Labels: ['Diabetes']
+Scores: [0.00015864484885241836]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.010104093700647354]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015617755707353354]
+Labels: ['Mental Health']
+Scores: [0.0001844154903665185]
+Labels: ['Diabetes type 1']
+Scores: [0.0004845636722166091]
+Labels: ['Diabetes type 2']
+Scores: [0.00038925852277316153]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732529
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Animals', 'Signal Transduction', 'Cytokines', 'Immunotherapy', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0635266825556755]
+Labels: ['Diabetes']
+Scores: [0.07953912019729614]
+Labels: ['Cancer']
+Scores: [0.4171530306339264]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12626510858535767]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09691896289587021]
+Labels: ['Mental Health']
+Scores: [0.07228480279445648]
+Labels: ['Diabetes type 1']
+Scores: [0.07916315644979477]
+Labels: ['Diabetes type 2']
+Scores: [0.08457869291305542]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732497
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Fear', 'Schizophrenia', 'Psychotic Disorders', 'Neoplasms', 'Psychosocial Intervention', 'Neoplasm Recurrence, Local', 'Research Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002290270756930113]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.00021609982650261372]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013731374929193407]
+Labels: ['Mental Health']
+Scores: [0.6761579513549805]
+Labels: ['Diabetes type 1']
+Scores: [0.00023209855135064572]
+Labels: ['Diabetes type 2']
+Scores: [0.0002695867733564228]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732363
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'T-Lymphocytes', 'Cell Movement', 'Immunotherapy, Adoptive', 'Tumor Microenvironment', 'Receptors, Chimeric Antigen', 'Neoplasms', 'Microfluidics', 'Lab-On-A-Chip Devices', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10874781012535095]
+Labels: ['Diabetes']
+Scores: [0.07649494707584381]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.13608777523040771]
+Labels: ['Cardiovascular diseases']
+Scores: [0.040535688400268555]
+Labels: ['Mental Health']
+Scores: [0.005880262702703476]
+Labels: ['Diabetes type 1']
+Scores: [0.12830306589603424]
+Labels: ['Diabetes type 2']
+Scores: [0.10857629030942917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06776044517755508]
+Labels: ['Diabetes']
+Scores: [0.022193294018507004]
+Labels: ['Cancer']
+Scores: [0.3563700318336487]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06827252358198166]
+Labels: ['Cardiovascular diseases']
+Scores: [0.44759130477905273]
+Labels: ['Mental Health']
+Scores: [0.028021879494190216]
+Labels: ['Diabetes type 1']
+Scores: [0.0722508579492569]
+Labels: ['Diabetes type 2']
+Scores: [0.0777004063129425]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Mitochondria', 'Neoplasms', 'Cytoskeleton', 'Animals', 'Autophagy', 'Apoptosis', 'Cell Proliferation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0059005930088460445]
+Labels: ['Diabetes']
+Scores: [0.004152863752096891]
+Labels: ['Cancer']
+Scores: [0.9440741539001465]
+Labels: ['Chronic respiratory disease']
+Scores: [0.015584160573780537]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002614932367578149]
+Labels: ['Mental Health']
+Scores: [0.011751143261790276]
+Labels: ['Diabetes type 1']
+Scores: [0.02327767387032509]
+Labels: ['Diabetes type 2']
+Scores: [0.020823147147893906]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732132
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Animals', 'Complement Activation', 'Tumor Microenvironment', 'Complement C4', 'Biomarkers, Tumor', 'Immunotherapy', 'Complement C4b', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013300984166562557]
+Labels: ['Diabetes']
+Scores: [0.007129710167646408]
+Labels: ['Cancer']
+Scores: [0.9278225898742676]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02376738004386425]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0030887145549058914]
+Labels: ['Mental Health']
+Scores: [0.00817785318940878]
+Labels: ['Diabetes type 1']
+Scores: [0.02153763547539711]
+Labels: ['Diabetes type 2']
+Scores: [0.01764555461704731]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731918
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Biomarkers, Tumor', 'Immunotherapy', 'Tumor Microenvironment', 'CD8-Positive T-Lymphocytes', 'Leukocytes, Mononuclear', 'Male', 'Female', 'Receptors, Antigen, T-Cell', 'Neoplasms', 'Middle Aged', 'Transcriptome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0032737061847001314]
+Labels: ['Diabetes']
+Scores: [0.001476466073654592]
+Labels: ['Cancer']
+Scores: [0.4681021273136139]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026849801652133465]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013239574618637562]
+Labels: ['Mental Health']
+Scores: [0.003847608808428049]
+Labels: ['Diabetes type 1']
+Scores: [0.0021797986701130867]
+Labels: ['Diabetes type 2']
+Scores: [0.002193916356191039]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731836
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'MicroRNAs', 'Hydrogels', 'HeLa Cells', 'DNA', 'Doxorubicin', 'PTEN Phosphohydrolase', 'Cell Survival', 'Neoplasms', 'Apoptosis Regulatory Proteins', 'RNA-Binding Proteins', 'Antineoplastic Agents', 'Gene Expression Regulation, Neoplastic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04835972189903259]
+Labels: ['Diabetes']
+Scores: [0.018700607120990753]
+Labels: ['Cancer']
+Scores: [0.9720261693000793]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10085964947938919]
+Labels: ['Cardiovascular diseases']
+Scores: [0.032992273569107056]
+Labels: ['Mental Health']
+Scores: [0.08088052272796631]
+Labels: ['Diabetes type 1']
+Scores: [0.05732128396630287]
+Labels: ['Diabetes type 2']
+Scores: [0.05964477360248566]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731788
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Antineoplastic Agents', 'Peptides', 'Animals', 'Drug Development', 'Molecular Structure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010561076924204826]
+Labels: ['Diabetes']
+Scores: [0.0034072170965373516]
+Labels: ['Cancer']
+Scores: [0.9019469618797302]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02902095764875412]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003424698021262884]
+Labels: ['Mental Health']
+Scores: [0.02347593382000923]
+Labels: ['Diabetes type 1']
+Scores: [0.02434346079826355]
+Labels: ['Diabetes type 2']
+Scores: [0.01997450739145279]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731736
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Algorithms', 'Neoplasms', 'Genomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14234718680381775]
+Labels: ['Diabetes']
+Scores: [0.06504237651824951]
+Labels: ['Cancer']
+Scores: [0.05791895091533661]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0692080557346344]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05578021705150604]
+Labels: ['Mental Health']
+Scores: [0.0008819709764793515]
+Labels: ['Diabetes type 1']
+Scores: [0.0684499591588974]
+Labels: ['Diabetes type 2']
+Scores: [0.07001613080501556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731651
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Quality of Life', 'Female', 'Male', 'Hydrocortisone', 'Qigong', 'Middle Aged', 'Neoplasms', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0039747292175889015]
+Labels: ['Diabetes']
+Scores: [0.0019898987375199795]
+Labels: ['Cancer']
+Scores: [0.9302172064781189]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006896659731864929]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009026802144944668]
+Labels: ['Mental Health']
+Scores: [0.007315526716411114]
+Labels: ['Diabetes type 1']
+Scores: [0.008036782033741474]
+Labels: ['Diabetes type 2']
+Scores: [0.007958724163472652]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731471
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Endoplasmic Reticulum Chaperone BiP', 'Single-Domain Antibodies', 'Recombinant Fusion Proteins', 'Immunotoxins', 'Apoptosis', 'Exotoxins', 'Animals', 'Heat-Shock Proteins', 'Cell Line, Tumor', 'Camelus', 'Breast Neoplasms', 'Female', 'ADP Ribose Transferases', 'Bacterial Toxins', 'HEK293 Cells', 'Pseudomonas aeruginosa Exotoxin A', 'Neoplasms', 'MCF-7 Cells', 'Virulence Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0026113037019968033]
+Labels: ['Diabetes']
+Scores: [0.0005768706323578954]
+Labels: ['Cancer']
+Scores: [0.9644986391067505]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001517713419161737]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005478946841321886]
+Labels: ['Mental Health']
+Scores: [0.0010395339922979474]
+Labels: ['Diabetes type 1']
+Scores: [0.0013193811755627394]
+Labels: ['Diabetes type 2']
+Scores: [0.0011450626188889146]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731178
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Organoids', 'Neoplasms', 'Tumor Microenvironment', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02298172377049923]
+Labels: ['Diabetes']
+Scores: [0.02081584744155407]
+Labels: ['Cancer']
+Scores: [0.888817310333252]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22375184297561646]
+Labels: ['Cardiovascular diseases']
+Scores: [0.026456763967871666]
+Labels: ['Mental Health']
+Scores: [0.04259840026497841]
+Labels: ['Diabetes type 1']
+Scores: [0.1793804168701172]
+Labels: ['Diabetes type 2']
+Scores: [0.150493785738945]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731135
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Mutation', 'Tumor Microenvironment', 'Histone Demethylases', 'Biomarkers, Tumor', 'Prognosis', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009627137333154678]
+Labels: ['Diabetes']
+Scores: [0.0037390836514532566]
+Labels: ['Cancer']
+Scores: [0.9602087736129761]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007726348005235195]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0026859701611101627]
+Labels: ['Mental Health']
+Scores: [0.026231978088617325]
+Labels: ['Diabetes type 1']
+Scores: [0.006707182619720697]
+Labels: ['Diabetes type 2']
+Scores: [0.006376164499670267]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731127
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'RNA Editing', 'Neoplasms', 'Inosine', 'Adenosine', 'Animals', 'Gene Expression Regulation, Neoplastic', 'Adenosine Deaminase', 'Biomarkers, Tumor', 'MicroRNAs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02130036987364292]
+Labels: ['Diabetes']
+Scores: [0.015436419285833836]
+Labels: ['Cancer']
+Scores: [0.8606494665145874]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03502631187438965]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009659810923039913]
+Labels: ['Mental Health']
+Scores: [0.028328536078333855]
+Labels: ['Diabetes type 1']
+Scores: [0.03681579977273941]
+Labels: ['Diabetes type 2']
+Scores: [0.031581174582242966]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731088
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Palliative Care', 'Aged', 'Middle Aged', 'Neoplasms', 'Terminal Care', 'Aged, 80 and over', 'Finland', 'Hospital Costs', 'Ambulatory Care Facilities', 'Registries', 'Adult', 'Ambulatory Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02551049180328846]
+Labels: ['Diabetes']
+Scores: [0.0010007725795730948]
+Labels: ['Cancer']
+Scores: [0.9856476187705994]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00794931873679161]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000481449969811365]
+Labels: ['Mental Health']
+Scores: [0.001993443351238966]
+Labels: ['Diabetes type 1']
+Scores: [0.003910771571099758]
+Labels: ['Diabetes type 2']
+Scores: [0.003755374811589718]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05267816409468651]
+Labels: ['Diabetes']
+Scores: [0.006885495502501726]
+Labels: ['Cancer']
+Scores: [0.13973689079284668]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06611332297325134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8593057990074158]
+Labels: ['Mental Health']
+Scores: [0.0029781381599605083]
+Labels: ['Diabetes type 1']
+Scores: [0.043215565383434296]
+Labels: ['Diabetes type 2']
+Scores: [0.04328732565045357]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731019
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Algorithms', 'Deep Learning', 'Gene Expression Profiling', 'Computational Biology', 'Databases, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002588192466646433]
+Labels: ['Diabetes']
+Scores: [0.000684879720211029]
+Labels: ['Cancer']
+Scores: [0.9644984602928162]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005095700616948307]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012664151145145297]
+Labels: ['Mental Health']
+Scores: [0.0005771818105131388]
+Labels: ['Diabetes type 1']
+Scores: [0.0023686185013502836]
+Labels: ['Diabetes type 2']
+Scores: [0.0019382861210033298]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730977
+Predictions: ['Cancer']
+MeshTerm: ['Copper', 'Humans', 'Metal Nanoparticles', 'Green Chemistry Technology', 'Neoplasms', 'Antineoplastic Agents', 'Drug Resistance, Neoplasm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05497444048523903]
+Labels: ['Diabetes']
+Scores: [0.007841785438358784]
+Labels: ['Cancer']
+Scores: [0.8801578283309937]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022811925038695335]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01046966016292572]
+Labels: ['Mental Health']
+Scores: [0.011731475591659546]
+Labels: ['Diabetes type 1']
+Scores: [0.03342752903699875]
+Labels: ['Diabetes type 2']
+Scores: [0.026817407459020615]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730928
+Predictions: ['Cancer']
+MeshTerm: ['Doxorubicin', 'Animals', 'Mice', 'Humans', 'Cell Line, Tumor', 'Immunotherapy', 'Neoplasms', 'Drug Delivery Systems', 'Nanoparticles', 'Tumor Microenvironment', 'Biomimetics', 'Imiquimod', 'Serotonin', 'Antineoplastic Agents', 'Combined Modality Therapy', 'Mice, Inbred BALB C']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08828049153089523]
+Labels: ['Diabetes']
+Scores: [0.042933378368616104]
+Labels: ['Cancer']
+Scores: [0.9387860894203186]
+Labels: ['Chronic respiratory disease']
+Scores: [0.20690789818763733]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04758116602897644]
+Labels: ['Mental Health']
+Scores: [0.3045133650302887]
+Labels: ['Diabetes type 1']
+Scores: [0.08351623266935349]
+Labels: ['Diabetes type 2']
+Scores: [0.08543700724840164]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730772
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Female', 'Male', 'Adult', 'Middle Aged', 'Return to Work', 'Social Stigma', 'Social Support', 'Adolescent', 'Young Adult', 'Adaptation, Psychological', 'Health Literacy', 'Neoplasms', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08530347794294357]
+Labels: ['Diabetes']
+Scores: [0.03403108939528465]
+Labels: ['Cancer']
+Scores: [0.6907909512519836]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14153406023979187]
+Labels: ['Cardiovascular diseases']
+Scores: [0.029788976535201073]
+Labels: ['Mental Health']
+Scores: [0.23584651947021484]
+Labels: ['Diabetes type 1']
+Scores: [0.05912429094314575]
+Labels: ['Diabetes type 2']
+Scores: [0.0628257468342781]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730706
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Denmark', 'Male', 'Female', 'Middle Aged', 'Adult', 'Aged', 'Cohort Studies', 'Environmental Pollution', 'Young Adult', 'Child, Preschool', 'Infant, Newborn', 'Environmental Exposure', 'Adolescent', 'Child', 'Infant', 'Aged, 80 and over', 'Neoplasms', 'Cause of Death']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.27159661054611206]
+Labels: ['Diabetes']
+Scores: [0.08369354903697968]
+Labels: ['Cancer']
+Scores: [0.925198495388031]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18929234147071838]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8451300263404846]
+Labels: ['Mental Health']
+Scores: [0.5771148204803467]
+Labels: ['Diabetes type 1']
+Scores: [0.14927631616592407]
+Labels: ['Diabetes type 2']
+Scores: [0.16242657601833344]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730699
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Machine Learning', 'Antineoplastic Agents', 'Precision Medicine', 'Neoplasms', 'Cell Line, Tumor']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11038736253976822]
+Labels: ['Diabetes']
+Scores: [0.06959749013185501]
+Labels: ['Cancer']
+Scores: [0.3391859531402588]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13249002397060394]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04259277880191803]
+Labels: ['Mental Health']
+Scores: [0.05593258515000343]
+Labels: ['Diabetes type 1']
+Scores: [0.13039112091064453]
+Labels: ['Diabetes type 2']
+Scores: [0.12856893241405487]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730637
+Predictions: ['Cancer']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'China', 'Drug-Related Side Effects and Adverse Reactions', 'East Asian People', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16361744701862335]
+Labels: ['Diabetes']
+Scores: [0.11620359122753143]
+Labels: ['Cancer']
+Scores: [0.9541202783584595]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3940170407295227]
+Labels: ['Cardiovascular diseases']
+Scores: [0.12700414657592773]
+Labels: ['Mental Health']
+Scores: [0.2643052041530609]
+Labels: ['Diabetes type 1']
+Scores: [0.13132372498512268]
+Labels: ['Diabetes type 2']
+Scores: [0.1774096041917801]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730328
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Mice', 'Immunotherapy', 'Humans', 'Immune Checkpoint Inhibitors', 'Female', 'Fimbriae Proteins', 'Programmed Cell Death 1 Receptor', 'Neoplasms', 'Mice, Inbred C57BL', 'Bacteria', 'Cell Line, Tumor', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0872286930680275]
+Labels: ['Diabetes']
+Scores: [0.009797042235732079]
+Labels: ['Cancer']
+Scores: [0.9565117955207825]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04660565406084061]
+Labels: ['Cardiovascular diseases']
+Scores: [0.017612891271710396]
+Labels: ['Mental Health']
+Scores: [0.03828343376517296]
+Labels: ['Diabetes type 1']
+Scores: [0.02199411578476429]
+Labels: ['Diabetes type 2']
+Scores: [0.022472228854894638]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730320
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Social Support', 'Neoplasms', 'Qualitative Research', 'Social Adjustment', 'Social Interaction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00182221713475883]
+Labels: ['Diabetes']
+Scores: [0.002862559398636222]
+Labels: ['Cancer']
+Scores: [0.9692826867103577]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022444790229201317]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001029235776513815]
+Labels: ['Mental Health']
+Scores: [0.0240834541618824]
+Labels: ['Diabetes type 1']
+Scores: [0.014591807499527931]
+Labels: ['Diabetes type 2']
+Scores: [0.013213147409260273]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730153
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Social Support', 'Aged', 'COVID-19', 'SARS-CoV-2', 'Online Social Networking', 'Research Design', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011934985406696796]
+Labels: ['Diabetes']
+Scores: [0.000387445354135707]
+Labels: ['Cancer']
+Scores: [0.7568972110748291]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003086088690906763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000113115762360394]
+Labels: ['Mental Health']
+Scores: [0.003505972446873784]
+Labels: ['Diabetes type 1']
+Scores: [0.0019040603656321764]
+Labels: ['Diabetes type 2']
+Scores: [0.0020507536828517914]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009622783400118351]
+Labels: ['Diabetes']
+Scores: [0.0009270404698327184]
+Labels: ['Cancer']
+Scores: [0.9188571572303772]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08326227217912674]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00018878615810535848]
+Labels: ['Diabetes type 1']
+Scores: [0.0026515014469623566]
+Labels: ['Diabetes type 2']
+Scores: [0.0031090565025806427]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729909
+Predictions: ['Cancer']
+MeshTerm: ['Reactive Oxygen Species', 'Humans', 'Neoplasms', 'Magnetic Fields', 'Animals', 'Mitochondria', 'Electromagnetic Fields']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0724298357963562]
+Labels: ['Diabetes']
+Scores: [0.06763726472854614]
+Labels: ['Cancer']
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+Scores: [0.059900134801864624]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02389371767640114]
+Labels: ['Mental Health']
+Scores: [0.013515220023691654]
+Labels: ['Diabetes type 1']
+Scores: [0.10769110172986984]
+Labels: ['Diabetes type 2']
+Scores: [0.1017300933599472]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729775
+Predictions: ['Cancer']
+MeshTerm: ['Granulocyte-Macrophage Colony-Stimulating Factor', 'Animals', 'RNA, Small Interfering', 'Immunotherapy', 'Mice', 'Macrophages', 'Cellular Reprogramming', 'Mice, Inbred C57BL', 'Neoplasms', 'Tumor Microenvironment', 'Cell Line, Tumor', 'Humans', 'Tumor-Associated Macrophages', 'Female', 'RAW 264.7 Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01604430004954338]
+Labels: ['Diabetes']
+Scores: [0.002805782249197364]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.007304180413484573]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003026967402547598]
+Labels: ['Mental Health']
+Scores: [0.04141802713274956]
+Labels: ['Diabetes type 1']
+Scores: [0.015202105045318604]
+Labels: ['Diabetes type 2']
+Scores: [0.01615876890718937]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729479
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Single-Cell Analysis', 'Lymphocytes, Tumor-Infiltrating', 'Neoplasms', 'RNA-Seq', 'T-Lymphocytes, Regulatory', 'Transcriptome', 'Gene Expression Profiling', 'Protein Interaction Maps', 'Sequence Analysis, RNA', 'Gene Regulatory Networks', 'Gene Expression Regulation, Neoplastic', 'Single-Cell Gene Expression Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07787429541349411]
+Labels: ['Diabetes']
+Scores: [0.01682979054749012]
+Labels: ['Cancer']
+Scores: [0.9088503122329712]
+Labels: ['Chronic respiratory disease']
+Scores: [0.032696086913347244]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013782668858766556]
+Labels: ['Mental Health']
+Scores: [0.03471151739358902]
+Labels: ['Diabetes type 1']
+Scores: [0.0427030548453331]
+Labels: ['Diabetes type 2']
+Scores: [0.041571106761693954]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729462
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Maytansine', 'Immunoconjugates', 'Antibodies, Monoclonal, Humanized', 'Neoplasms', 'Female', 'Folate Receptor 1', 'Progression-Free Survival']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11182709783315659]
+Labels: ['Diabetes']
+Scores: [0.011456689797341824]
+Labels: ['Cancer']
+Scores: [0.8332263231277466]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10219556838274002]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006796639878302813]
+Labels: ['Mental Health']
+Scores: [0.07058149576187134]
+Labels: ['Diabetes type 1']
+Scores: [0.034949373453855515]
+Labels: ['Diabetes type 2']
+Scores: [0.03572200611233711]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729341
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Animals', 'Mice', 'Neoplasms', 'Drug Carriers', 'Cell Line, Tumor', 'Macromolecular Substances', 'Protein Binding', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18949458003044128]
+Labels: ['Diabetes']
+Scores: [0.1465476006269455]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.2260945439338684]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09306079894304276]
+Labels: ['Mental Health']
+Scores: [0.19440621137619019]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.17932718992233276]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729330
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Child', 'Neoplasms', 'Gait Disorders, Neurologic', 'Antineoplastic Agents', 'Gait', 'Range of Motion, Articular', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0026919040828943253]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0028462111949920654]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00027094921097159386]
+Labels: ['Diabetes type 1']
+Scores: [0.009677650406956673]
+Labels: ['Diabetes type 2']
+Scores: [0.008568331599235535]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729314
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Radiation Oncology', 'Radiologists', 'Peer Review', 'Peer Review, Health Care', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021252233535051346]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.009511148557066917]
+Labels: ['Mental Health']
+Scores: [0.005954199470579624]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.04401308298110962]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727835
+Predictions: ['Cancer']
+MeshTerm: ['Biosensing Techniques', 'Humans', 'Drug Discovery', 'Neoplasms', 'Antineoplastic Agents', 'Fluorescence', 'Fluorescence Resonance Energy Transfer', 'Signal Transduction', 'Luminescent Measurements', 'Pentacyclic Triterpenes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.058453887701034546]
+Labels: ['Diabetes']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.020985880866646767]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.12622444331645966]
+Labels: ['Diabetes type 2']
+Scores: [0.11105857789516449]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727719
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neutropenia', 'Antineoplastic Agents', 'Anemia', 'Thrombocytopenia', 'Neoplasms', 'Intercellular Signaling Peptides and Proteins', 'Granulocyte Colony-Stimulating Factor', 'Receptors, Thrombopoietin', 'Cytopenia']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0032577342353761196]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.932076632976532]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0022674459032714367]
+Labels: ['Mental Health']
+Scores: [0.00971265509724617]
+Labels: ['Diabetes type 1']
+Scores: [0.012417986989021301]
+Labels: ['Diabetes type 2']
+Scores: [0.013537077233195305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727703
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Saudi Arabia', 'Early Detection of Cancer', 'Female', 'Male', 'Aged', 'Middle Aged', 'Neoplasms', 'Oncology Nursing', 'Health Services Accessibility', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006075012497603893]
+Labels: ['Diabetes']
+Scores: [0.0026992997154593468]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.014590629376471043]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017611245857551694]
+Labels: ['Mental Health']
+Scores: [0.21288658678531647]
+Labels: ['Diabetes type 1']
+Scores: [0.013915030285716057]
+Labels: ['Diabetes type 2']
+Scores: [0.012711512856185436]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727701
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Male', 'Female', 'Frailty', 'Neoplasms', 'Retrospective Studies', 'Aged, 80 and over', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010399329476058483]
+Labels: ['Diabetes']
+Scores: [0.004905045498162508]
+Labels: ['Cancer']
+Scores: [0.7542735934257507]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018881341442465782]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00620387215167284]
+Labels: ['Mental Health']
+Scores: [0.03373223915696144]
+Labels: ['Diabetes type 1']
+Scores: [0.017637422308325768]
+Labels: ['Diabetes type 2']
+Scores: [0.019924113526940346]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727700
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Peripheral Nervous System Diseases', 'Neoplasms', 'Patient Reported Outcome Measures', 'Psychometrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013208546675741673]
+Labels: ['Diabetes']
+Scores: [0.007074326276779175]
+Labels: ['Cancer']
+Scores: [0.9385027289390564]
+Labels: ['Chronic respiratory disease']
+Scores: [0.032539792358875275]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006143368314951658]
+Labels: ['Mental Health']
+Scores: [0.02184476889669895]
+Labels: ['Diabetes type 1']
+Scores: [0.0302731953561306]
+Labels: ['Diabetes type 2']
+Scores: [0.027926186099648476]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727690
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Artificial Intelligence', 'Empathy', 'Neoplasms', 'Nurse-Patient Relations', 'Oncology Nursing', 'Qualitative Research']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004903597291558981]
+Labels: ['Diabetes']
+Scores: [0.00019446211808826774]
+Labels: ['Cancer']
+Scores: [0.9376417398452759]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001775664510205388]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013665207370650023]
+Labels: ['Mental Health']
+Scores: [0.00048827778664417565]
+Labels: ['Diabetes type 1']
+Scores: [0.007661879062652588]
+Labels: ['Diabetes type 2']
+Scores: [0.0061461892910301685]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727688
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Aged', 'Neoplasms', 'Cross-Sectional Studies', 'Male', 'Female', 'Malnutrition', 'Aged, 80 and over', 'Nutritional Status', 'Surveys and Questionnaires', 'Nutrition Assessment', 'Diet', 'Symptom Burden']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0021323852706700563]
+Labels: ['Diabetes']
+Scores: [0.0003964593634009361]
+Labels: ['Cancer']
+Scores: [0.9586858153343201]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00852579902857542]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022269452165346593]
+Labels: ['Mental Health']
+Scores: [0.0005474281497299671]
+Labels: ['Diabetes type 1']
+Scores: [0.0028145434334874153]
+Labels: ['Diabetes type 2']
+Scores: [0.0035244037862867117]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727686
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Exercise', 'Exercise Therapy', 'Neoplasms', 'Quality of Life', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009380740113556385]
+Labels: ['Diabetes']
+Scores: [0.0246482715010643]
+Labels: ['Cancer']
+Scores: [0.9829851388931274]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05360712483525276]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002570598851889372]
+Labels: ['Mental Health']
+Scores: [0.026935746893286705]
+Labels: ['Diabetes type 1']
+Scores: [0.04653935506939888]
+Labels: ['Diabetes type 2']
+Scores: [0.052629802376031876]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727684
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Methadone', 'Neuralgia', 'Cancer Pain', 'Analgesics, Opioid', 'Neoplasms', 'Quality of Life']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00042703872895799577]
+Labels: ['Diabetes']
+Scores: [0.00022101002105046064]
+Labels: ['Cancer']
+Scores: [0.8559584617614746]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003306673315819353]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001237633841810748]
+Labels: ['Mental Health']
+Scores: [0.00029140760307200253]
+Labels: ['Diabetes type 1']
+Scores: [0.0006311862962320447]
+Labels: ['Diabetes type 2']
+Scores: [0.0006058087456040084]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727683
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Female', 'Cancer Survivors', 'Male', 'Adult', 'Adolescent', 'Neoplasms', 'Young Adult', 'Fertility', 'Cohort Studies', 'Surveys and Questionnaires', 'Canada', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008767679333686829]
+Labels: ['Diabetes']
+Scores: [0.005279893986880779]
+Labels: ['Cancer']
+Scores: [0.7228761911392212]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008111436851322651]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003694965038448572]
+Labels: ['Mental Health']
+Scores: [0.02144251950085163]
+Labels: ['Diabetes type 1']
+Scores: [0.011895502917468548]
+Labels: ['Diabetes type 2']
+Scores: [0.012682955712080002]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727682
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Health Literacy', 'Fear', 'Neoplasms', 'Neoplasm Recurrence, Local', 'Disease Progression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01881749927997589]
+Labels: ['Diabetes']
+Scores: [0.019879702478647232]
+Labels: ['Cancer']
+Scores: [0.9473469853401184]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09877818077802658]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014112753793597221]
+Labels: ['Mental Health']
+Scores: [0.09000658988952637]
+Labels: ['Diabetes type 1']
+Scores: [0.057467058300971985]
+Labels: ['Diabetes type 2']
+Scores: [0.05442097783088684]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727182
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Patents as Topic', 'Ataxia Telangiectasia Mutated Proteins', 'Neoplasms', 'Antineoplastic Agents', 'Animals', 'Protein Kinase Inhibitors', 'Drug Development', 'Molecular Targeted Therapy', 'DNA Breaks, Double-Stranded']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028690706938505173]
+Labels: ['Diabetes']
+Scores: [0.006291811354458332]
+Labels: ['Cancer']
+Scores: [0.9921584129333496]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026930173859000206]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006569331977516413]
+Labels: ['Mental Health']
+Scores: [0.0070173428393900394]
+Labels: ['Diabetes type 1']
+Scores: [0.019802067428827286]
+Labels: ['Diabetes type 2']
+Scores: [0.018591217696666718]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726750
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cerebral Hemorrhage', 'Retrospective Studies', 'Middle Aged', 'Propensity Score', 'Risk Factors', 'Neoplasms', 'Aged', 'Prognosis', 'Neutrophils', 'Hemoglobins', 'China', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009200366213917732]
+Labels: ['Diabetes']
+Scores: [0.0006479453295469284]
+Labels: ['Cancer']
+Scores: [0.516118586063385]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018724949331954122]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00181985879316926]
+Labels: ['Mental Health']
+Scores: [0.011393524706363678]
+Labels: ['Diabetes type 1']
+Scores: [0.0026421318762004375]
+Labels: ['Diabetes type 2']
+Scores: [0.002884133718907833]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726590
+Predictions: ['Cancer']
+MeshTerm: ['Animals', 'Humans', 'Cell Movement', 'Immunotherapy', 'Mesenchymal Stem Cell Transplantation', 'Mesenchymal Stem Cells', 'Neoplasms', 'Tumor Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03050493262708187]
+Labels: ['Diabetes']
+Scores: [0.014231265522539616]
+Labels: ['Cancer']
+Scores: [0.9193893074989319]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06415683776140213]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010992283001542091]
+Labels: ['Mental Health']
+Scores: [0.021305808797478676]
+Labels: ['Diabetes type 1']
+Scores: [0.06217192858457565]
+Labels: ['Diabetes type 2']
+Scores: [0.05108813941478729]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726589
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Bibliometrics', 'Methylation', 'Tumor Microenvironment', 'RNA', 'Lymphocytes, Tumor-Infiltrating', 'Animals', 'RNA Methylation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017163697630167007]
+Labels: ['Diabetes']
+Scores: [0.0038774493150413036]
+Labels: ['Cancer']
+Scores: [0.6045963168144226]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029815083369612694]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0019991814624518156]
+Labels: ['Mental Health']
+Scores: [0.0021779073867946863]
+Labels: ['Diabetes type 1']
+Scores: [0.016247255727648735]
+Labels: ['Diabetes type 2']
+Scores: [0.013294344767928123]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726379
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Tumor Microenvironment', 'Antineoplastic Agents', 'Lipid Metabolism', 'Neoplasms', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031715027987957]
+Labels: ['Diabetes']
+Scores: [0.005785440560430288]
+Labels: ['Cancer']
+Scores: [0.4022262692451477]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01611677184700966]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012781837023794651]
+Labels: ['Mental Health']
+Scores: [0.011641710996627808]
+Labels: ['Diabetes type 1']
+Scores: [0.01010311022400856]
+Labels: ['Diabetes type 2']
+Scores: [0.011995614506304264]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726369
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Reactive Oxygen Species', 'Glutathione', 'Photochemotherapy', 'Animals', 'Tumor Microenvironment', 'Nanostructures', 'Antineoplastic Agents', 'Photosensitizing Agents', 'Antioxidants', 'Immunotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16532565653324127]
+Labels: ['Diabetes']
+Scores: [0.030138108879327774]
+Labels: ['Cancer']
+Scores: [0.9661378264427185]
+Labels: ['Chronic respiratory disease']
+Scores: [0.33879604935646057]
+Labels: ['Cardiovascular diseases']
+Scores: [0.051860567182302475]
+Labels: ['Mental Health']
+Scores: [0.10931743681430817]
+Labels: ['Diabetes type 1']
+Scores: [0.10609369724988937]
+Labels: ['Diabetes type 2']
+Scores: [0.08212675899267197]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726308
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Connective Tissue Diseases', 'Vasculitis', 'Immunologic Factors', 'Immunomodulating Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05165479704737663]
+Labels: ['Diabetes']
+Scores: [0.012925161980092525]
+Labels: ['Cancer']
+Scores: [0.9383337497711182]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07874269783496857]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01774945668876171]
+Labels: ['Mental Health']
+Scores: [0.01858348958194256]
+Labels: ['Diabetes type 1']
+Scores: [0.037280041724443436]
+Labels: ['Diabetes type 2']
+Scores: [0.036705005913972855]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726258
+Predictions: ['Cancer']
+MeshTerm: ['Vaccinia virus', 'Humans', 'Animals', 'Cell Line, Tumor', 'Mice', 'Mice, Nude', 'Virus Replication', 'Oncolytic Viruses', 'Oncolytic Virotherapy', 'RNA-Binding Proteins', 'Neoplasms', 'Xenograft Model Antitumor Assays', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17990486323833466]
+Labels: ['Diabetes']
+Scores: [0.01699206791818142]
+Labels: ['Cancer']
+Scores: [0.9501889944076538]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07318335771560669]
+Labels: ['Cardiovascular diseases']
+Scores: [0.036238305270671844]
+Labels: ['Mental Health']
+Scores: [0.04804271459579468]
+Labels: ['Diabetes type 1']
+Scores: [0.05684829503297806]
+Labels: ['Diabetes type 2']
+Scores: [0.05013827607035637]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726235
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Adult', 'Neoplasms', 'Aged', 'Healthy Volunteers', 'Protein Kinase Inhibitors', 'Young Adult', 'Models, Biological', 'Aged, 80 and over', 'Carcinoma, Non-Small-Cell Lung']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.32727694511413574]
+Labels: ['Diabetes']
+Scores: [0.03952742740511894]
+Labels: ['Cancer']
+Scores: [0.8111812472343445]
+Labels: ['Chronic respiratory disease']
+Scores: [0.21404051780700684]
+Labels: ['Cardiovascular diseases']
+Scores: [0.1084960401058197]
+Labels: ['Mental Health']
+Scores: [0.1092238575220108]
+Labels: ['Diabetes type 1']
+Scores: [0.056502848863601685]
+Labels: ['Diabetes type 2']
+Scores: [0.06825187802314758]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726139
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Neoplasms', 'Retrospective Studies', 'Female', 'Male', 'Japan', 'Middle Aged', 'Exercise', 'Smartphone', 'Databases, Factual', 'Aged', 'Adult', 'Cohort Studies', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014537669718265533]
+Labels: ['Diabetes']
+Scores: [0.0016162763349711895]
+Labels: ['Cancer']
+Scores: [0.953427255153656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00714155426248908]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000906792760360986]
+Labels: ['Mental Health']
+Scores: [0.005335214547812939]
+Labels: ['Diabetes type 1']
+Scores: [0.004829515237361193]
+Labels: ['Diabetes type 2']
+Scores: [0.003777817590162158]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726004
+Predictions: ['Cancer']
+MeshTerm: ['Humans', 'Taiwan', 'Qualitative Research', 'Guideline Adherence', 'Practice Guidelines as Topic', 'Neoplasms', 'Quality of Health Care', 'Case Managers', 'Medical Oncology', 'Interviews as Topic', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010965717025101185]
+Labels: ['Diabetes']
+Scores: [0.0011017108336091042]
+Labels: ['Cancer']
+Scores: [0.9498364925384521]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017498362809419632]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0016640641260892153]
+Labels: ['Mental Health']
+Scores: [0.002714667236432433]
+Labels: ['Diabetes type 1']
+Scores: [0.01870954968035221]
+Labels: ['Diabetes type 2']
+Scores: [0.015940513461828232]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2648334503173828]
+Labels: ['Diabetes']
+Scores: [0.026835717260837555]
+Labels: ['Cancer']
+Scores: [0.015716029331088066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6679342985153198]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014960195869207382]
+Labels: ['Mental Health']
+Scores: [0.05021118372678757]
+Labels: ['Diabetes type 1']
+Scores: [0.07831867039203644]
+Labels: ['Diabetes type 2']
+Scores: [0.08234002441167831]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729927
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'CD4-Positive T-Lymphocytes', 'Neoplasms', 'Machine Learning', 'Digestive System Diseases', 'Metabolic Diseases', 'Respiratory Tract Diseases', 'Gene Expression Profiling', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009622783400118351]
+Labels: ['Diabetes']
+Scores: [0.0009270404698327184]
+Labels: ['Cancer']
+Scores: [0.9188571572303772]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08326227217912674]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00027409603353589773]
+Labels: ['Mental Health']
+Scores: [0.00018878615810535848]
+Labels: ['Diabetes type 1']
+Scores: [0.0026515014469623566]
+Labels: ['Diabetes type 2']
+Scores: [0.0031090565025806427]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729438
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Digital Technology', 'Respiratory Tract Diseases', 'Telemedicine', 'Scoping Reviews As Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0023239082656800747]
+Labels: ['Diabetes']
+Scores: [0.0003614370943978429]
+Labels: ['Cancer']
+Scores: [0.000302816741168499]
+Labels: ['Chronic respiratory disease']
+Scores: [0.615177571773529]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005220655002631247]
+Labels: ['Mental Health']
+Scores: [0.0002953500079456717]
+Labels: ['Diabetes type 1']
+Scores: [0.0011872817995026708]
+Labels: ['Diabetes type 2']
+Scores: [0.0011981999268755317]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8894046545028687]
+Labels: ['Diabetes']
+Scores: [0.02301628515124321]
+Labels: ['Cancer']
+Scores: [0.04988371208310127]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07491067051887512]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008368044160306454]
+Labels: ['Mental Health']
+Scores: [0.23148171603679657]
+Labels: ['Diabetes type 1']
+Scores: [0.04424646124243736]
+Labels: ['Diabetes type 2']
+Scores: [0.047808486968278885]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710468
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Allergens', 'Adult', 'Adolescent', 'Child', 'China', 'Middle Aged', 'Child, Preschool', 'Cross-Sectional Studies', 'Young Adult', 'Infant', 'Aged', 'Immunoglobulin E', 'Aged, 80 and over', 'Animals', 'Skin Diseases', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11366579681634903]
+Labels: ['Diabetes']
+Scores: [0.015405655838549137]
+Labels: ['Cancer']
+Scores: [0.00914186891168356]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6856399178504944]
+Labels: ['Cardiovascular diseases']
+Scores: [0.012023820541799068]
+Labels: ['Mental Health']
+Scores: [0.02238348498940468]
+Labels: ['Diabetes type 1']
+Scores: [0.028194759041070938]
+Labels: ['Diabetes type 2']
+Scores: [0.034352149814367294]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707265
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Quality of Life', 'China', 'Male', 'Cross-Sectional Studies', 'Female', 'Middle Aged', 'Incineration', 'Adult', 'Surveys and Questionnaires', 'Residence Characteristics', 'Aged', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09531020373106003]
+Labels: ['Diabetes']
+Scores: [0.0042555732652544975]
+Labels: ['Cancer']
+Scores: [0.009698640555143356]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3076064884662628]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0032378786709159613]
+Labels: ['Mental Health']
+Scores: [0.009241732768714428]
+Labels: ['Diabetes type 1']
+Scores: [0.017024217173457146]
+Labels: ['Diabetes type 2']
+Scores: [0.015094548463821411]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nitrogen Dioxide', 'Republic of Korea', 'Cross-Over Studies', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Aged, 80 and over', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Air Pollutants', 'Young Adult', 'Adolescent', 'Child, Preschool', 'Child', 'Air Pollution', 'Infant', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005039268173277378]
+Labels: ['Diabetes']
+Scores: [0.0017710709944367409]
+Labels: ['Cancer']
+Scores: [0.001174027333036065]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005114582367241383]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004711156652774662]
+Labels: ['Mental Health']
+Scores: [0.0004030702984891832]
+Labels: ['Diabetes type 1']
+Scores: [0.0035693557001650333]
+Labels: ['Diabetes type 2']
+Scores: [0.0030964480247348547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39694698
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Scotland', 'Male', 'Female', 'Air Pollution', 'Prospective Studies', 'Middle Aged', 'Particulate Matter', 'Hospitalization', 'Environmental Exposure', 'Adult', 'Nitrogen Dioxide', 'Aged', 'Air Pollutants', 'Sulfur Dioxide', 'Cardiovascular Diseases', 'Longitudinal Studies', 'Young Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36313125491142273]
+Labels: ['Diabetes']
+Scores: [0.04684773460030556]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.14871299266815186]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028654325753450394]
+Labels: ['Mental Health']
+Scores: [0.6310387253761292]
+Labels: ['Diabetes type 1']
+Scores: [0.0569719523191452]
+Labels: ['Diabetes type 2']
+Scores: [0.055220358073711395]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39694558
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nebulizers and Vaporizers', 'Child', 'Administration, Inhalation', 'Respiratory Tract Diseases', 'Asthma', 'Home Care Services', 'Practice Guidelines as Topic', 'Respiratory Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029776325449347496]
+Labels: ['Diabetes']
+Scores: [0.0007698373519815505]
+Labels: ['Cancer']
+Scores: [0.00030100170988589525]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5852628946304321]
+Labels: ['Cardiovascular diseases']
+Scores: [8.399166108574718e-05]
+Labels: ['Mental Health']
+Scores: [9.016505646286532e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.007578413933515549]
+Labels: ['Diabetes type 2']
+Scores: [0.008254945278167725]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684326
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'Mast Cells', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011796600185334682]
+Labels: ['Diabetes']
+Scores: [0.0030586065258830786]
+Labels: ['Cancer']
+Scores: [0.003913512919098139]
+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.001445729285478592]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0057840836234390736]
+Labels: ['Diabetes type 2']
+Scores: [0.0061514656990766525]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39684250
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Endocrine Disruptors', 'Humans', 'Respiratory System', 'Animals', 'Oxidative Stress', 'Respiratory Tract Diseases', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2824620306491852]
+Labels: ['Diabetes']
+Scores: [0.03682940453290939]
+Labels: ['Cancer']
+Scores: [0.023183748126029968]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6751733422279358]
+Labels: ['Cardiovascular diseases']
+Scores: [0.029632605612277985]
+Labels: ['Mental Health']
+Scores: [0.033004097640514374]
+Labels: ['Diabetes type 1']
+Scores: [0.07686711102724075]
+Labels: ['Diabetes type 2']
+Scores: [0.07007724791765213]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661886
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Child', 'Male', 'Homeostasis', 'Minerals', 'Vitamins', 'Ascorbic Acid', 'Respiratory Tract Diseases', 'Vitamin D', 'Recurrence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06410539150238037]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.47716057300567627]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002740470925346017]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.011662032455205917]
+Labels: ['Diabetes type 2']
+Scores: [0.01214577630162239]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661885
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Male', 'Antioxidants', 'Female', 'Ascorbic Acid', 'Interleukin-6', 'Glutathione Peroxidase', 'Hydrocortisone', 'Ferritins', 'Tumor Necrosis Factor-alpha', 'Respiratory Tract Diseases', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012903972528874874]
+Labels: ['Diabetes']
+Scores: [0.001983671449124813]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.000713381334207952]
+Labels: ['Mental Health']
+Scores: [0.0018322443356737494]
+Labels: ['Diabetes type 1']
+Scores: [0.0045340643264353275]
+Labels: ['Diabetes type 2']
+Scores: [0.005528924521058798]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39659714
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Workplace', 'Occupational Diseases', 'Respiratory Tract Diseases', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2960657477378845]
+Labels: ['Diabetes']
+Scores: [0.0045010121539235115]
+Labels: ['Cancer']
+Scores: [0.00483534624800086]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5037023425102234]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010793155524879694]
+Labels: ['Mental Health']
+Scores: [0.0025999925564974546]
+Labels: ['Diabetes type 1']
+Scores: [0.014606096781790257]
+Labels: ['Diabetes type 2']
+Scores: [0.01274577435106039]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39643329
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Middle Aged', 'Male', 'Female', 'Adult', 'Prospective Studies', 'Nitrogen Dioxide', 'China', 'Aged', 'Environmental Exposure', 'Incidence', 'Musculoskeletal Diseases', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Air Pollutants', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24932384490966797]
+Labels: ['Diabetes']
+Scores: [0.006099567748606205]
+Labels: ['Cancer']
+Scores: [0.015401913784444332]
+Labels: ['Chronic respiratory disease']
+Scores: [0.23133747279644012]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11915013939142227]
+Labels: ['Mental Health']
+Scores: [0.003924517426639795]
+Labels: ['Diabetes type 1']
+Scores: [0.012650753371417522]
+Labels: ['Diabetes type 2']
+Scores: [0.022216470912098885]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39642570
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mustard Gas', 'Male', 'Biomarkers', 'Cross-Sectional Studies', 'Adult', 'Chemical Warfare Agents', 'Veterans', 'Middle Aged', 'Respiratory Tract Diseases', 'Iran']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030501047149300575]
+Labels: ['Diabetes']
+Scores: [0.0027168369852006435]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.9778056740760803]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003067543148063123]
+Labels: ['Mental Health']
+Scores: [0.00047668724437244236]
+Labels: ['Diabetes type 1']
+Scores: [0.006410358007997274]
+Labels: ['Diabetes type 2']
+Scores: [0.00782484095543623]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39640901
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Plants, Medicinal', 'Humans', 'Tanzania', 'Male', 'Female', 'Respiratory Tract Diseases', 'Adult', 'Middle Aged', 'Health Knowledge, Attitudes, Practice', 'Medicine, African Traditional', 'Aged', 'Phytotherapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29064252972602844]
+Labels: ['Diabetes']
+Scores: [0.056209731847047806]
+Labels: ['Cancer']
+Scores: [0.04737214371562004]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5388249158859253]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01779501885175705]
+Labels: ['Mental Health']
+Scores: [0.02941119857132435]
+Labels: ['Diabetes type 1']
+Scores: [0.09550967812538147]
+Labels: ['Diabetes type 2']
+Scores: [0.0987173467874527]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633457
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Respiratory Tract Diseases', 'Nanoparticles', 'Microplastics', 'Inhalation Exposure', 'Air Pollutants', 'Animals', 'Respiratory System']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13708080351352692]
+Labels: ['Diabetes']
+Scores: [0.00744476355612278]
+Labels: ['Cancer']
+Scores: [0.005046600475907326]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18201835453510284]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015660632401704788]
+Labels: ['Mental Health']
+Scores: [0.015824148431420326]
+Labels: ['Diabetes type 1']
+Scores: [0.028016965836286545]
+Labels: ['Diabetes type 2']
+Scores: [0.0250520259141922]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39633418
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Hospitalization', 'Child', 'Male', 'Female', 'Air Pollutants', 'Cross-Over Studies', 'Child, Preschool', 'COVID-19', 'Respiratory Tract Diseases', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Infant', 'Sulfur Dioxide', 'SARS-CoV-2', 'Adolescent', 'Nitrogen Dioxide', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03742317482829094]
+Labels: ['Diabetes']
+Scores: [0.0006637767073698342]
+Labels: ['Cancer']
+Scores: [0.00027151283575221896]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016807446954771876]
+Labels: ['Cardiovascular diseases']
+Scores: [7.431641279254109e-05]
+Labels: ['Mental Health']
+Scores: [0.0009249409195035696]
+Labels: ['Diabetes type 1']
+Scores: [0.0021914266981184483]
+Labels: ['Diabetes type 2']
+Scores: [0.002260762033984065]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39632975
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Lung Neoplasms', 'Genome-Wide Association Study', 'Ketone Bodies', 'Polymorphism, Single Nucleotide', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09548965096473694]
+Labels: ['Diabetes']
+Scores: [0.005688337609171867]
+Labels: ['Cancer']
+Scores: [0.6675993204116821]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9677501916885376]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015573104610666633]
+Labels: ['Mental Health']
+Scores: [0.012245655991137028]
+Labels: ['Diabetes type 1']
+Scores: [0.00967708881944418]
+Labels: ['Diabetes type 2']
+Scores: [0.010030161589384079]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39620702
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Climate Change', 'Air Pollution', 'Particulate Matter', 'Environmental Exposure', 'Ozone', 'Respiratory Tract Diseases', 'Air Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03395942971110344]
+Labels: ['Diabetes']
+Scores: [0.0009360883268527687]
+Labels: ['Cancer']
+Scores: [0.0014594703679904342]
+Labels: ['Chronic respiratory disease']
+Scores: [0.47679761052131653]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00041490199510008097]
+Labels: ['Mental Health']
+Scores: [0.0006064656772650778]
+Labels: ['Diabetes type 1']
+Scores: [0.006684379652142525]
+Labels: ['Diabetes type 2']
+Scores: [0.0034108248073607683]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39617287
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'Female', 'Hypersensitivity', 'Male', 'France', 'Dietary Exposure', 'Child', 'Cohort Studies', 'Child, Preschool', 'Pesticides', 'Respiratory Tract Diseases', 'Environmental Pollutants']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13631577789783478]
+Labels: ['Diabetes']
+Scores: [0.03959936648607254]
+Labels: ['Cancer']
+Scores: [0.024065755307674408]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3809244632720947]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01649266667664051]
+Labels: ['Mental Health']
+Scores: [0.03189148008823395]
+Labels: ['Diabetes type 1']
+Scores: [0.04319407418370247]
+Labels: ['Diabetes type 2']
+Scores: [0.042478296905756]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39615506
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Cardiovascular Diseases', 'Environmental Exposure', 'Fires', 'Global Burden of Disease', 'Global Health', 'Health Impact Assessment', 'Mortality', 'Ozone', 'Particulate Matter', 'Respiratory Tract Diseases', 'Wildfires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02821572683751583]
+Labels: ['Diabetes']
+Scores: [0.0007248667534440756]
+Labels: ['Cancer']
+Scores: [0.002512289211153984]
+Labels: ['Chronic respiratory disease']
+Scores: [0.033835653215646744]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008545215823687613]
+Labels: ['Mental Health']
+Scores: [0.0005913958884775639]
+Labels: ['Diabetes type 1']
+Scores: [0.005758607294410467]
+Labels: ['Diabetes type 2']
+Scores: [0.005576482508331537]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39608993
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Australia', 'Adult', 'Adolescent', 'Hospitalization', 'Aged', 'Young Adult', 'Child', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Infant, Newborn', 'Aged, 80 and over', 'Sex Distribution', 'Age Distribution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16157449781894684]
+Labels: ['Diabetes']
+Scores: [0.00816071592271328]
+Labels: ['Cancer']
+Scores: [0.0061243390664458275]
+Labels: ['Chronic respiratory disease']
+Scores: [0.605780839920044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00047557553625665605]
+Labels: ['Mental Health']
+Scores: [0.002256081672385335]
+Labels: ['Diabetes type 1']
+Scores: [0.02398868463933468]
+Labels: ['Diabetes type 2']
+Scores: [0.021879123523831367]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39607106
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Brazil', 'Hospitalization', 'Adolescent', 'Spatio-Temporal Analysis', 'Child', 'Respiratory Tract Diseases', 'Young Adult', 'Adult', 'Socioeconomic Factors', 'Child, Preschool', 'Female', 'Male', 'Middle Aged', 'Aged', 'Cluster Analysis', 'Infant', 'Urban Population', 'Space-Time Clustering', 'Cities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25217530131340027]
+Labels: ['Diabetes']
+Scores: [0.0405152328312397]
+Labels: ['Cancer']
+Scores: [0.042120561003685]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6718942523002625]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05369719862937927]
+Labels: ['Mental Health']
+Scores: [0.09578115493059158]
+Labels: ['Diabetes type 1']
+Scores: [0.10144756734371185]
+Labels: ['Diabetes type 2']
+Scores: [0.1076764464378357]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39603392
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Asia', 'Chronic Disease', 'Quality of Life', 'Qigong', 'Yoga', 'Tai Ji', 'Resistance Training', 'Respiratory Tract Diseases', 'Exercise Therapy', 'Exercise Tolerance', 'Practice Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03032209910452366]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.9871525764465332]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004302151966840029]
+Labels: ['Mental Health']
+Scores: [0.02477044239640236]
+Labels: ['Diabetes type 1']
+Scores: [0.033036284148693085]
+Labels: ['Diabetes type 2']
+Scores: [0.03262520581483841]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578996
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Adult', 'Aged', 'China', 'Aged, 80 and over', 'Hand Strength', 'Respiratory Tract Diseases', 'Muscle, Skeletal', 'Muscle Strength', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4160134494304657]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001218185992911458]
+Labels: ['Mental Health']
+Scores: [0.002036954974755645]
+Labels: ['Diabetes type 1']
+Scores: [0.010116852819919586]
+Labels: ['Diabetes type 2']
+Scores: [0.009458327665925026]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39578779
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Signal Transduction', 'Animals', 'Smad5 Protein', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14544139802455902]
+Labels: ['Diabetes']
+Scores: [0.010190652683377266]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.947270393371582]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013791345991194248]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.02455490082502365]
+Labels: ['Diabetes type 2']
+Scores: [0.022120658308267593]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570415
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nutrition Surveys', 'Middle Aged', 'Male', 'Female', 'Adult', 'Aged', 'Antioxidants', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Aged, 80 and over', 'Infant', 'Chronic Disease', 'Child', 'Diet', 'United States', 'Respiratory Tract Diseases', 'Risk Factors', 'Mortality', 'Respiration Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.038105595856904984]
+Labels: ['Diabetes']
+Scores: [0.006023608613759279]
+Labels: ['Cancer']
+Scores: [0.004045721143484116]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9337049722671509]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0034805117174983025]
+Labels: ['Mental Health']
+Scores: [0.0028835032135248184]
+Labels: ['Diabetes type 1']
+Scores: [0.016761045902967453]
+Labels: ['Diabetes type 2']
+Scores: [0.015811584889888763]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39570333
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Vietnam', 'Humans', 'Hospitalization', 'Male', 'Female', 'Middle Aged', 'Temperature', 'Aged', 'Adult', 'Adolescent', 'Respiratory Tract Diseases', 'Young Adult', 'Infant', 'Cardiovascular Diseases', 'Child, Preschool', 'Child', 'Poverty', 'Infant, Newborn', 'Aged, 80 and over', 'Risk']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21137604117393494]
+Labels: ['Diabetes']
+Scores: [0.1374051421880722]
+Labels: ['Cancer']
+Scores: [0.09184649586677551]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8717746734619141]
+Labels: ['Cardiovascular diseases']
+Scores: [0.91511070728302]
+Labels: ['Mental Health']
+Scores: [0.10133982449769974]
+Labels: ['Diabetes type 1']
+Scores: [0.224369078874588]
+Labels: ['Diabetes type 2']
+Scores: [0.20581160485744476]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39566943
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Fukushima Nuclear Accident', 'Japan', 'Retrospective Studies', 'Male', 'Female', 'Aged', 'Middle Aged', 'Adult', 'Cause of Death', 'Young Adult', 'Adolescent', 'Child', 'Aged, 80 and over', 'Child, Preschool', 'Infant', 'Disasters', 'Earthquakes', 'Respiratory Tract Diseases', 'Cardiovascular Diseases', 'Suicide', 'Infant, Newborn', 'Neoplasms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.056883521378040314]
+Labels: ['Diabetes']
+Scores: [0.0021741818636655807]
+Labels: ['Cancer']
+Scores: [0.13002143800258636]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00946330837905407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0012215361930429935]
+Labels: ['Mental Health']
+Scores: [0.05554960295557976]
+Labels: ['Diabetes type 1']
+Scores: [0.021756354719400406]
+Labels: ['Diabetes type 2']
+Scores: [0.01864004135131836]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39566532
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Exosomes', 'Humans', 'Respiratory Tract Diseases', 'Animals', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02376396395266056]
+Labels: ['Diabetes']
+Scores: [0.0029720677994191647]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.33851101994514465]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017135338857769966]
+Labels: ['Mental Health']
+Scores: [0.004553243052214384]
+Labels: ['Diabetes type 1']
+Scores: [0.014816571027040482]
+Labels: ['Diabetes type 2']
+Scores: [0.014840923249721527]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39550655
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Particulate Matter', 'Middle Aged', 'Aged', 'Adult', 'Cohort Studies', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Neoplasms', 'Air Pollution', 'Air Pollutants', 'Cardiovascular Diseases', 'Italy', 'Rivers', 'Young Adult', 'Proportional Hazards Models', 'Manufacturing and Industrial Facilities', 'Adolescent', 'Cause of Death', 'Industry', 'Nitrogen Oxides', 'Child, Preschool', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.35275018215179443]
+Labels: ['Diabetes']
+Scores: [0.01903124339878559]
+Labels: ['Cancer']
+Scores: [0.4581259787082672]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6278369426727295]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6782676577568054]
+Labels: ['Mental Health']
+Scores: [0.09543289989233017]
+Labels: ['Diabetes type 1']
+Scores: [0.040422651916742325]
+Labels: ['Diabetes type 2']
+Scores: [0.04015248268842697]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39544058
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Volatile Organic Compounds', 'Air Pollution, Indoor', 'Pulmonary Disease, Chronic Obstructive', 'Respiratory Tract Diseases', 'Asthma', 'Sick Building Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06341684609651566]
+Labels: ['Diabetes']
+Scores: [0.00691529456526041]
+Labels: ['Cancer']
+Scores: [0.004094964824616909]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6716071367263794]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0029248481150716543]
+Labels: ['Mental Health']
+Scores: [0.01155052799731493]
+Labels: ['Diabetes type 1']
+Scores: [0.035289689898490906]
+Labels: ['Diabetes type 2']
+Scores: [0.03266550973057747]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39543369
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bipolar Disorder', 'Pulmonary Disease, Chronic Obstructive', 'Asthma', 'Prevalence', 'Female', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Male', 'Pneumonia', 'Odds Ratio', 'Respiration Disorders', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1427125632762909]
+Labels: ['Diabetes']
+Scores: [0.008822028525173664]
+Labels: ['Cancer']
+Scores: [0.05573411285877228]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9922616481781006]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014356346800923347]
+Labels: ['Mental Health']
+Scores: [0.15155836939811707]
+Labels: ['Diabetes type 1']
+Scores: [0.03320010006427765]
+Labels: ['Diabetes type 2']
+Scores: [0.03287336602807045]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39537245
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cell Communication', 'Extracellular Vesicles', 'Animals', 'Lung', 'Lung Diseases', 'Signal Transduction', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04775243625044823]
+Labels: ['Diabetes']
+Scores: [0.027258260175585747]
+Labels: ['Cancer']
+Scores: [0.27297115325927734]
+Labels: ['Chronic respiratory disease']
+Scores: [0.40821102261543274]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014127125032246113]
+Labels: ['Mental Health']
+Scores: [0.018484463915228844]
+Labels: ['Diabetes type 1']
+Scores: [0.05791430175304413]
+Labels: ['Diabetes type 2']
+Scores: [0.0528925396502018]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39530346
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Air Pollution', 'Environmental Exposure', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Environmental Monitoring', 'Air Filters', 'Child', 'Exercise', 'Aged', 'Air Pollutants', 'Masks']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027834337204694748]
+Labels: ['Diabetes']
+Scores: [0.009477075189352036]
+Labels: ['Cancer']
+Scores: [0.007891327142715454]
+Labels: ['Chronic respiratory disease']
+Scores: [0.31322336196899414]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010192838497459888]
+Labels: ['Mental Health']
+Scores: [0.0036630993708968163]
+Labels: ['Diabetes type 1']
+Scores: [0.03143758699297905]
+Labels: ['Diabetes type 2']
+Scores: [0.02968963235616684]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39521464
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Nepal', 'Child', 'Risk Factors', 'Female', 'Research Design', 'Male', 'Longitudinal Studies', 'Adult', 'Adolescent', 'Parents', 'Child, Preschool', 'Air Pollution', 'Respiratory Tract Diseases', 'Cohort Studies', 'Life Style', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36022722721099854]
+Labels: ['Diabetes']
+Scores: [0.08138763159513474]
+Labels: ['Cancer']
+Scores: [0.08173034340143204]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15748567879199982]
+Labels: ['Cardiovascular diseases']
+Scores: [0.19093108177185059]
+Labels: ['Mental Health']
+Scores: [0.26543617248535156]
+Labels: ['Diabetes type 1']
+Scores: [0.10808229446411133]
+Labels: ['Diabetes type 2']
+Scores: [0.12924855947494507]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39515807
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'RNA, Untranslated', 'RNA, Long Noncoding', 'Epigenesis, Genetic', 'MicroRNAs', 'Respiratory Tract Diseases', 'RNA, Circular']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06137420982122421]
+Labels: ['Diabetes']
+Scores: [0.003347942838445306]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.11309236288070679]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002379592042416334]
+Labels: ['Mental Health']
+Scores: [0.00578937865793705]
+Labels: ['Diabetes type 1']
+Scores: [0.008799400180578232]
+Labels: ['Diabetes type 2']
+Scores: [0.008948287926614285]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39513278
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biomarkers', 'Female', 'Air Pollutants', 'Respiratory Tract Diseases', 'Chronic Disease', 'Environmental Exposure', 'Air Pollution', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030278252437710762]
+Labels: ['Diabetes']
+Scores: [0.00154810247477144]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.8107408881187439]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022345587785821408]
+Labels: ['Mental Health']
+Scores: [0.00033143916516564786]
+Labels: ['Diabetes type 1']
+Scores: [0.010249330662190914]
+Labels: ['Diabetes type 2']
+Scores: [0.011015957221388817]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39505076
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Particulate Matter', 'Republic of Korea', 'Cardiovascular Diseases', 'Humans', 'Air Pollutants', 'Air Pollution', 'Hospitalization', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005798006895929575]
+Labels: ['Diabetes']
+Scores: [0.0006221039220690727]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0045279283076524734]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.00022999109933152795]
+Labels: ['Diabetes type 1']
+Scores: [0.0024910275824368]
+Labels: ['Diabetes type 2']
+Scores: [0.002924637170508504]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39503908
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Occupational Injuries', "Workers' Compensation", 'Seasons', 'Middle Aged', 'Occupational Diseases', 'Emergency Responders', 'Mental Disorders', 'Firefighters', 'Victoria', 'Musculoskeletal Diseases', 'Wildfires', 'Respiratory Tract Diseases', 'Young Adult', 'Police']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003902506548911333]
+Labels: ['Diabetes']
+Scores: [0.0015924914041534066]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.01433489192277193]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00032970900065265596]
+Labels: ['Mental Health']
+Scores: [0.21362046897411346]
+Labels: ['Diabetes type 1']
+Scores: [0.007330081891268492]
+Labels: ['Diabetes type 2']
+Scores: [0.007486001122742891]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39502059
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Sounds', 'Respiratory Tract Diseases', 'Auscultation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03925098851323128]
+Labels: ['Diabetes']
+Scores: [0.014004663564264774]
+Labels: ['Cancer']
+Scores: [0.007018354721367359]
+Labels: ['Chronic respiratory disease']
+Scores: [0.12217670679092407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0058089871890842915]
+Labels: ['Mental Health']
+Scores: [0.017114561051130295]
+Labels: ['Diabetes type 1']
+Scores: [0.035303838551044464]
+Labels: ['Diabetes type 2']
+Scores: [0.03843843936920166]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494780
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Antioxidants', 'Diet', 'Hypersensitivity', 'Child, Preschool', 'Inflammation', 'Male', 'Birth Cohort', 'Multimorbidity', 'Adult', 'Maternal Nutritional Physiological Phenomena', 'Infant', 'Respiratory Tract Diseases', 'Asthma', 'Prenatal Exposure Delayed Effects', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25000980496406555]
+Labels: ['Diabetes']
+Scores: [0.047870635986328125]
+Labels: ['Cancer']
+Scores: [0.05211282894015312]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8026378154754639]
+Labels: ['Cardiovascular diseases']
+Scores: [0.078289695084095]
+Labels: ['Mental Health']
+Scores: [0.09506071358919144]
+Labels: ['Diabetes type 1']
+Scores: [0.08376213163137436]
+Labels: ['Diabetes type 2']
+Scores: [0.08471998572349548]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494537
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Caregivers', 'Chronic Disease', 'Patient Education as Topic', 'Health Literacy', 'Palliative Care', 'Advance Care Planning', 'Decision Making, Shared', 'Learning', 'Respiratory Tract Diseases', 'Health Knowledge, Attitudes, Practice', 'Adaptation, Psychological', 'Decision Making']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.028910331428050995]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.0016666795127093792]
+Labels: ['Chronic respiratory disease']
+Scores: [0.991341233253479]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001603634882485494]
+Labels: ['Mental Health']
+Scores: [0.0007230793125927448]
+Labels: ['Diabetes type 1']
+Scores: [0.004491135478019714]
+Labels: ['Diabetes type 2']
+Scores: [0.005242855288088322]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39494092
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Europe', 'Nitrogen Dioxide', 'Ozone', 'Respiratory Tract Diseases', 'World Health Organization']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005788057576864958]
+Labels: ['Diabetes']
+Scores: [0.0031569127459079027]
+Labels: ['Cancer']
+Scores: [0.006628453731536865]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2132255733013153]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0050657219253480434]
+Labels: ['Mental Health']
+Scores: [0.0007783710607327521]
+Labels: ['Diabetes type 1']
+Scores: [0.014813903719186783]
+Labels: ['Diabetes type 2']
+Scores: [0.013299553655087948]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39493756
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Computational Biology', 'User-Computer Interface', 'Databases, Factual', 'Respiratory Tract Diseases', 'Software']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027879510074853897]
+Labels: ['Diabetes']
+Scores: [0.0048973411321640015]
+Labels: ['Cancer']
+Scores: [0.008937954902648926]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7038347125053406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0022304432932287455]
+Labels: ['Mental Health']
+Scores: [0.0027673097793012857]
+Labels: ['Diabetes type 1']
+Scores: [0.09544292837381363]
+Labels: ['Diabetes type 2']
+Scores: [0.09550172090530396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39489274
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Republic of Korea', 'Humans', 'Female', 'Male', 'Temperature', 'Middle Aged', 'Seasons', 'Aged', 'Cardiovascular Diseases', 'Mortality', 'Adult', 'Child', 'Adolescent', 'Child, Preschool', 'Young Adult', 'Infant', 'Aged, 80 and over', 'Respiratory Tract Diseases', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1321733444929123]
+Labels: ['Diabetes']
+Scores: [0.024287495762109756]
+Labels: ['Cancer']
+Scores: [0.04242983087897301]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10751039534807205]
+Labels: ['Cardiovascular diseases']
+Scores: [0.056949030607938766]
+Labels: ['Mental Health']
+Scores: [0.0009764655260369182]
+Labels: ['Diabetes type 1']
+Scores: [0.0410056933760643]
+Labels: ['Diabetes type 2']
+Scores: [0.03803568333387375]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39477760
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Spain', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Aged', 'Adult', 'Adolescent', 'Young Adult', 'Cause of Death', 'Aged, 80 and over', 'Child', 'Child, Preschool', 'Infant', 'Respiratory Tract Diseases', 'Mortality', 'Pandemics', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020375030115246773]
+Labels: ['Diabetes']
+Scores: [0.0007609212771058083]
+Labels: ['Cancer']
+Scores: [0.0006473088869825006]
+Labels: ['Chronic respiratory disease']
+Scores: [0.915277898311615]
+Labels: ['Cardiovascular diseases']
+Scores: [8.925450674723834e-05]
+Labels: ['Mental Health']
+Scores: [0.0010509442072361708]
+Labels: ['Diabetes type 1']
+Scores: [0.006421910133212805]
+Labels: ['Diabetes type 2']
+Scores: [0.006333064753562212]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39472952
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'South Africa', 'Quality of Life', 'Child, Preschool', 'Infant', 'Male', 'Female', 'Delphi Technique', 'Surveys and Questionnaires', 'Respiratory Tract Diseases', 'Infant, Newborn', 'Psychometrics', 'Respiratory Tract Infections']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0029737281147390604]
+Labels: ['Diabetes']
+Scores: [0.000891589093953371]
+Labels: ['Cancer']
+Scores: [0.0005474633071571589]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2592819333076477]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00036929096677340567]
+Labels: ['Mental Health']
+Scores: [0.0006272011087276042]
+Labels: ['Diabetes type 1']
+Scores: [0.004564308561384678]
+Labels: ['Diabetes type 2']
+Scores: [0.005443529691547155]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39468133
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Infant', 'South Africa', 'Female', 'Male', 'Eggs', 'Gastrointestinal Diseases', 'Infant Nutritional Physiological Phenomena', 'Respiratory Tract Diseases', 'Incidence', 'Morbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3977281153202057]
+Labels: ['Diabetes']
+Scores: [0.014822483994066715]
+Labels: ['Cancer']
+Scores: [0.008114416152238846]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1020226776599884]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00868680514395237]
+Labels: ['Mental Health']
+Scores: [0.011072822846472263]
+Labels: ['Diabetes type 1']
+Scores: [0.032469745725393295]
+Labels: ['Diabetes type 2']
+Scores: [0.03128233924508095]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39466470
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bone Morphogenetic Protein 2', 'Signal Transduction', 'Animals', 'Respiratory Tract Diseases', 'Lung Neoplasms', 'Hypertension, Pulmonary']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007047541905194521]
+Labels: ['Diabetes']
+Scores: [0.00290580652654171]
+Labels: ['Cancer']
+Scores: [0.4310678541660309]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9792419075965881]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013955684378743172]
+Labels: ['Mental Health']
+Scores: [0.007347949780523777]
+Labels: ['Diabetes type 1']
+Scores: [0.005799998063594103]
+Labels: ['Diabetes type 2']
+Scores: [0.007319164462387562]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39465586
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Comorbidity', 'Patient Readmission', 'Length of Stay', 'Middle Aged', 'Retrospective Studies', 'Heart Failure', 'Prospective Studies', 'Hypertension', 'Myocardial Ischemia', 'Pulmonary Heart Disease', 'Aged, 80 and over', 'Prevalence', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.0002854702470358461]
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+Labels: ['Diabetes type 2']
+Scores: [0.00039645496872253716]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39462582
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Ozone', 'Japan', 'Particulate Matter', 'Humans', 'Air Pollutants', 'Cities', 'Aged', 'Female', 'Mortality', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'Air Pollution', 'Hot Temperature', 'Temperature', 'Respiratory Tract Diseases', 'Environmental Exposure', 'Young Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.0033398091327399015]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39462039
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Gastrointestinal Microbiome', 'Genome-Wide Association Study', 'Lung', 'Respiratory Tract Diseases', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12346687912940979]
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.029156183823943138]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39457304
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Cross-Sectional Studies', 'Dust', 'Adult', 'Male', 'Occupational Exposure', 'Ethiopia', 'Female', 'Paper', 'Middle Aged', 'Cough', 'Prevalence', 'Young Adult', 'Respiratory Tract Diseases', 'Respiratory Sounds', 'Surveys and Questionnaires', 'Occupational Diseases', 'Industry', 'Dyspnea', 'Air Pollutants, Occupational']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39453518
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'Aged', 'Female', 'Male', 'Cross-Over Studies', 'Altitude', 'Air Pollutants', 'Respiratory Tract Diseases', 'China', 'Extreme Weather', 'Aged, 80 and over', 'Middle Aged', 'Cities', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444957
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Adolescent', 'Adult', 'Child', 'Humans', 'Air Pollutants', 'Air Pollution', 'Environmental Exposure', 'Particulate Matter', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14865568280220032]
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39444118
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Middle Aged', 'Heating', 'Prospective Studies', 'Female', 'Male', 'Respiratory Tract Diseases', 'Proportional Hazards Models', 'China', 'Smoking', 'Risk Factors', 'Adult', 'Air Pollution, Indoor']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39443904
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Netherlands', 'Female', 'Male', 'Adult', 'Middle Aged', 'Smoke', 'Wood', 'Air Pollutants', 'Environmental Exposure', 'Aged', 'Particulate Matter', 'Respiratory Tract Diseases', 'Glucose']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39439241
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Switzerland', 'Humans', 'History, 20th Century', 'History, 21st Century', 'History, 17th Century', 'History, 16th Century', 'Respiratory Tract Diseases', 'Male', 'Female', 'History, 18th Century', 'History, 19th Century', 'Adult', 'Middle Aged', 'Respiration Disorders', 'Aged', 'Child', 'Adolescent', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39436432
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Prospective Studies', 'Child', 'Respiratory Tract Diseases', 'Male', 'Female', 'Air Pollutants', 'Particulate Matter', 'Air Pollution', 'Child Health', 'Environmental Exposure', 'Air Pollution, Indoor', 'Adolescent', 'Environmental Monitoring']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39435892
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'United Kingdom', 'Particulate Matter', 'Male', 'Female', 'Middle Aged', 'Aged', 'Proportional Hazards Models', 'Environmental Exposure', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Mortality', 'Time Factors', 'Air Pollution', 'Air Pollutants', 'Adult', 'Cohort Studies', 'Machine Learning', 'Respiratory Tract Diseases', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39434079
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'China', 'Air Pollution', 'Respiratory Tract Diseases', 'Risk Assessment', 'Air Pollutants', 'Reproducibility of Results']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02845500223338604]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424664
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Air Pollution', 'Particulate Matter', 'Air Pollutants', 'Meteorological Concepts', 'Respiratory Tract Diseases', 'Iran', 'Sulfur Dioxide', 'Nitrogen Dioxide', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39424373
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Surveys and Questionnaires', 'Child', 'Quality Improvement', 'Documentation', 'Preoperative Care', 'Pediatrics', 'Respiration Disorders', 'Respiratory Tract Diseases', 'Preoperative Period']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.01951790228486061]
+Labels: ['Diabetes type 1']
+Scores: [0.09647755324840546]
+Labels: ['Diabetes type 2']
+Scores: [0.0994807705283165]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39423508
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Phthalic Acids', 'Male', 'Female', 'Child', 'China', 'Cardiovascular Diseases', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Diseases', 'Anthropometry', 'Dust', 'Schools', 'Endocrine Disruptors', 'Risk Assessment', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.8729258179664612]
+Labels: ['Mental Health']
+Scores: [0.017500879243016243]
+Labels: ['Diabetes type 1']
+Scores: [0.13748173415660858]
+Labels: ['Diabetes type 2']
+Scores: [0.1429196149110794]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39421822
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ambulances', 'China', 'Middle Aged', 'Cardiovascular Diseases', 'Temperature', 'Aged', 'Adult', 'Emergency Medical Services', 'Respiratory Tract Diseases', 'Seasons']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17942993342876434]
+Labels: ['Diabetes']
+Scores: [0.008543978445231915]
+Labels: ['Cancer']
+Scores: [0.002737797796726227]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5595084428787231]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9308018088340759]
+Labels: ['Mental Health']
+Scores: [0.0031520335469394922]
+Labels: ['Diabetes type 1']
+Scores: [0.016401462256908417]
+Labels: ['Diabetes type 2']
+Scores: [0.017776118591427803]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39419650
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Omalizumab', 'Anti-Inflammatory Agents, Non-Steroidal', 'Antibodies, Anti-Idiotypic', 'Asthma, Aspirin-Induced', 'Anti-Allergic Agents', 'Drug Hypersensitivity', 'Respiratory Tract Diseases', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1274799108505249]
+Labels: ['Diabetes']
+Scores: [0.008613642305135727]
+Labels: ['Cancer']
+Scores: [0.010418927296996117]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8891411423683167]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028990687802433968]
+Labels: ['Mental Health']
+Scores: [0.008566560223698616]
+Labels: ['Diabetes type 1']
+Scores: [0.010434931144118309]
+Labels: ['Diabetes type 2']
+Scores: [0.01984633319079876]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39419227
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Microbiota', 'Air Microbiology', 'Middle Aged', 'Cross-Sectional Studies', 'China', 'Prevalence', 'Adult', 'Female', 'Aged', 'Air Pollution, Indoor', 'Respiratory Tract Diseases', 'Male', 'Plants', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2849230170249939]
+Labels: ['Diabetes']
+Scores: [0.020874589681625366]
+Labels: ['Cancer']
+Scores: [0.011878405697643757]
+Labels: ['Chronic respiratory disease']
+Scores: [0.370990127325058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014320528134703636]
+Labels: ['Mental Health']
+Scores: [0.030881239101290703]
+Labels: ['Diabetes type 1']
+Scores: [0.05314602702856064]
+Labels: ['Diabetes type 2']
+Scores: [0.04989326372742653]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39410863
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Africa', 'Air Pollution, Indoor', 'Environmental Exposure', 'Respiratory Tract Infections', 'Respiratory Tract Diseases', 'Female', 'Risk Factors', 'Family Characteristics', 'Child', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004241569433361292]
+Labels: ['Diabetes']
+Scores: [0.0015284171095117927]
+Labels: ['Cancer']
+Scores: [0.0009749840246513486]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9232847690582275]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004108261491637677]
+Labels: ['Mental Health']
+Scores: [0.0003101889742538333]
+Labels: ['Diabetes type 1']
+Scores: [0.008290618658065796]
+Labels: ['Diabetes type 2']
+Scores: [0.00763968238607049]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39408565
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'TRPV Cation Channels', 'Receptors, Adrenergic, beta-2', 'Animals', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05051163583993912]
+Labels: ['Diabetes']
+Scores: [0.015919560566544533]
+Labels: ['Cancer']
+Scores: [0.01900414191186428]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8902683854103088]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01882479526102543]
+Labels: ['Mental Health']
+Scores: [0.03752763569355011]
+Labels: ['Diabetes type 1']
+Scores: [0.028034377843141556]
+Labels: ['Diabetes type 2']
+Scores: [0.031126370653510094]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39406209
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Male', 'Northern Territory', 'Animals', 'Smoke', 'Turtles', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.056697409600019455]
+Labels: ['Diabetes']
+Scores: [0.00592687726020813]
+Labels: ['Cancer']
+Scores: [0.010000798851251602]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9861542582511902]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0043739560060203075]
+Labels: ['Mental Health']
+Scores: [0.004709819331765175]
+Labels: ['Diabetes type 1']
+Scores: [0.006466547958552837]
+Labels: ['Diabetes type 2']
+Scores: [0.006191601045429707]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39395132
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Sarcopenia', 'Genome-Wide Association Study', 'Body Mass Index', 'Respiratory Tract Diseases', 'Male', 'Pulmonary Disease, Chronic Obstructive', 'Female', 'Smoking', 'Pneumoconiosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02672681398689747]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.002768654841929674]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8337424397468567]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017782139184419066]
+Labels: ['Mental Health']
+Scores: [0.004088474903255701]
+Labels: ['Diabetes type 1']
+Scores: [0.00794574711471796]
+Labels: ['Diabetes type 2']
+Scores: [0.007373695261776447]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39394579
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Japan', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Tobacco Products', 'Surveys and Questionnaires', 'Internet', 'Smoking', 'Hot Temperature', 'Aged', 'Young Adult', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.22719287872314453]
+Labels: ['Diabetes']
+Scores: [0.019871409982442856]
+Labels: ['Cancer']
+Scores: [0.06093728914856911]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5063943862915039]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04642106965184212]
+Labels: ['Mental Health']
+Scores: [0.013821744360029697]
+Labels: ['Diabetes type 1']
+Scores: [0.03653176128864288]
+Labels: ['Diabetes type 2']
+Scores: [0.0338890515267849]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39391315
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Liquid-Liquid Extraction', 'Signal Transduction', 'Phase Separation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07160494476556778]
+Labels: ['Diabetes']
+Scores: [0.0052417260594666]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.37936344742774963]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.006222670432180166]
+Labels: ['Diabetes type 1']
+Scores: [0.012105348519980907]
+Labels: ['Diabetes type 2']
+Scores: [0.010467779822647572]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39389134
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Particulate Matter', 'Aged', 'Humans', 'Air Pollutants', 'Risk Assessment', 'China', 'Air Pollution', 'Environmental Exposure', 'Fossil Fuels', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003577206749469042]
+Labels: ['Diabetes']
+Scores: [0.0012528437655419111]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.0007619932875968516]
+Labels: ['Mental Health']
+Scores: [0.0008794442401267588]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.004297215957194567]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39384295
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Rain', 'Cardiovascular Diseases', 'Respiratory Tract Diseases', 'Global Health', 'Cause of Death', 'Mortality', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01778780110180378]
+Labels: ['Diabetes']
+Scores: [0.010572968982160091]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.36963433027267456]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7946838140487671]
+Labels: ['Mental Health']
+Scores: [0.0009246588451787829]
+Labels: ['Diabetes type 1']
+Scores: [0.04052966088056564]
+Labels: ['Diabetes type 2']
+Scores: [0.03814130648970604]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39384238
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Observational Studies as Topic', 'Respiratory Tract Diseases', 'Systematic Reviews as Topic', 'Walking']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.24121811985969543]
+Labels: ['Diabetes']
+Scores: [0.021037744358181953]
+Labels: ['Cancer']
+Scores: [0.002062356099486351]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010667267255485058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01972055621445179]
+Labels: ['Mental Health']
+Scores: [0.0042143212631344795]
+Labels: ['Diabetes type 1']
+Scores: [0.030710311606526375]
+Labels: ['Diabetes type 2']
+Scores: [0.04302703216671944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39374569
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Saliva', 'Breath Tests', 'Respiratory Tract Diseases', 'Exhalation', 'Electrochemical Techniques', 'Equipment Design']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29079359769821167]
+Labels: ['Diabetes']
+Scores: [0.05973063409328461]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.4341684877872467]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08519508689641953]
+Labels: ['Mental Health']
+Scores: [0.07367336750030518]
+Labels: ['Diabetes type 1']
+Scores: [0.13765504956245422]
+Labels: ['Diabetes type 2']
+Scores: [0.13503320515155792]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39370174
+Predictions: ['Chronic respiratory disease', 'Mental Health']
+MeshTerm: ['Humans', 'Comorbidity', 'Mental Disorders', 'Respiratory Tract Diseases', 'Quality of Life', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018421173095703125]
+Labels: ['Diabetes']
+Scores: [0.004741396754980087]
+Labels: ['Cancer']
+Scores: [0.0023549238685518503]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5114374756813049]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00032097898656502366]
+Labels: ['Mental Health']
+Scores: [0.9622354507446289]
+Labels: ['Diabetes type 1']
+Scores: [0.009259490296244621]
+Labels: ['Diabetes type 2']
+Scores: [0.010185536928474903]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39370173
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mental Disorders', 'Tuberculosis, Pulmonary', 'Tuberculosis', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005723980721086264]
+Labels: ['Diabetes']
+Scores: [0.00028325497987680137]
+Labels: ['Cancer']
+Scores: [0.0003872182860504836]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6307626962661743]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00018303368415217847]
+Labels: ['Mental Health']
+Scores: [0.2443077713251114]
+Labels: ['Diabetes type 1']
+Scores: [0.0017566254828125238]
+Labels: ['Diabetes type 2']
+Scores: [0.002108254935592413]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39366894
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Prenatal Exposure Delayed Effects', 'Smoking', 'Child', 'Infant, Newborn', 'Respiratory Tract Diseases', 'Adolescent', 'Maternal Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11888522654771805]
+Labels: ['Diabetes']
+Scores: [0.004997963551431894]
+Labels: ['Cancer']
+Scores: [0.006102575454860926]
+Labels: ['Chronic respiratory disease']
+Scores: [0.33453404903411865]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003895113244652748]
+Labels: ['Mental Health']
+Scores: [0.007364070974290371]
+Labels: ['Diabetes type 1']
+Scores: [0.015553456731140614]
+Labels: ['Diabetes type 2']
+Scores: [0.01533512957394123]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39364938
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Animals', 'Humans', 'United Kingdom', 'Veterinary Medicine', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012830826453864574]
+Labels: ['Diabetes']
+Scores: [0.00032820418709889054]
+Labels: ['Cancer']
+Scores: [0.00026819182676263154]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6404494643211365]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017439380462747067]
+Labels: ['Mental Health']
+Scores: [0.000166847268701531]
+Labels: ['Diabetes type 1']
+Scores: [0.0007299541030079126]
+Labels: ['Diabetes type 2']
+Scores: [0.0009671398438513279]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39362458
+Predictions: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Residence Characteristics', 'Aged', 'Mortality', 'Cities', 'Middle Aged', 'Aging', 'Cardiovascular Diseases', 'Male', 'Female', 'Neoplasms', 'Respiratory Tract Diseases', 'Adult', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.36751699447631836]
+Labels: ['Diabetes']
+Scores: [0.07984332740306854]
+Labels: ['Cancer']
+Scores: [0.7582952380180359]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8250148892402649]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8969544172286987]
+Labels: ['Mental Health']
+Scores: [0.04687189683318138]
+Labels: ['Diabetes type 1']
+Scores: [0.3002825379371643]
+Labels: ['Diabetes type 2']
+Scores: [0.276822954416275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[3, 0], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39362179
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Pilot Projects', 'Aged', 'Male', 'Chronic Disease', 'Female', 'Exercise Therapy', 'Prospective Studies', 'Problem Solving', 'Physical Functional Performance', 'Aged, 80 and over', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003082706592977047]
+Labels: ['Diabetes']
+Scores: [0.00018454108794685453]
+Labels: ['Cancer']
+Scores: [0.0001396391016896814]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9693036675453186]
+Labels: ['Cardiovascular diseases']
+Scores: [6.581063644262031e-05]
+Labels: ['Mental Health']
+Scores: [0.00014164978347253054]
+Labels: ['Diabetes type 1']
+Scores: [0.00038447591941803694]
+Labels: ['Diabetes type 2']
+Scores: [0.0004642481217160821]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39353528
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Taiwan', 'Humans', 'Cardiovascular Diseases', 'Climate Change', 'Temperature', 'Middle Aged', 'Aged', 'Adult', 'Respiratory Tract Diseases', 'Male', 'Female', 'Seasons', 'Vulnerable Populations', 'Young Adult', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2352304756641388]
+Labels: ['Diabetes']
+Scores: [0.037957094609737396]
+Labels: ['Cancer']
+Scores: [0.016512446105480194]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9364379644393921]
+Labels: ['Cardiovascular diseases']
+Scores: [0.962186872959137]
+Labels: ['Mental Health']
+Scores: [0.03960595279932022]
+Labels: ['Diabetes type 1']
+Scores: [0.11361280828714371]
+Labels: ['Diabetes type 2']
+Scores: [0.12099350988864899]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39354585
+Predictions: ['Cancer', 'Chronic respiratory disease']
+MeshTerm: ['Humans', 'Immune Checkpoint Inhibitors', 'Neoplasms', 'Chemoradiotherapy', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002831157762557268]
+Labels: ['Diabetes']
+Scores: [0.0013011989649385214]
+Labels: ['Cancer']
+Scores: [0.9053961634635925]
+Labels: ['Chronic respiratory disease']
+Scores: [0.42343854904174805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006660297513008118]
+Labels: ['Mental Health']
+Scores: [0.0006581335328519344]
+Labels: ['Diabetes type 1']
+Scores: [0.00511992396786809]
+Labels: ['Diabetes type 2']
+Scores: [0.005642176605761051]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39352090
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Slovakia', 'Occupational Diseases', 'Adult', 'Male', 'Female', 'Prevalence', 'Middle Aged', 'Agriculture', 'Occupational Exposure', 'Manufacturing Industry', 'Asthma, Occupational', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30083370208740234]
+Labels: ['Diabetes']
+Scores: [0.0014417902566492558]
+Labels: ['Cancer']
+Scores: [0.0005258343880996108]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5609472990036011]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003864643513225019]
+Labels: ['Mental Health']
+Scores: [0.0005668391240760684]
+Labels: ['Diabetes type 1']
+Scores: [0.009189239703118801]
+Labels: ['Diabetes type 2']
+Scores: [0.007374939508736134]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39348213
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['China', 'Air Pollutants', 'Humans', 'Bayes Theorem', 'Particulate Matter', 'Air Pollution', 'Respiratory Tract Diseases', 'Sulfur Dioxide', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06373434513807297]
+Labels: ['Diabetes']
+Scores: [0.024472637102007866]
+Labels: ['Cancer']
+Scores: [0.03529990091919899]
+Labels: ['Chronic respiratory disease']
+Scores: [0.37516188621520996]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03474246710538864]
+Labels: ['Mental Health']
+Scores: [0.046762820333242416]
+Labels: ['Diabetes type 1']
+Scores: [0.040635846555233]
+Labels: ['Diabetes type 2']
+Scores: [0.0382845513522625]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39338131
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Brazil', 'Humans', 'Male', 'Female', 'Mortality', 'Middle Aged', 'Adult', 'Adolescent', 'Aged', 'Child', 'Young Adult', 'Respiratory Tract Diseases', 'Infant', 'Child, Preschool', 'Cardiovascular Diseases', 'Temperature', 'Hot Temperature', 'Aged, 80 and over', 'Infant, Newborn']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17465247213840485]
+Labels: ['Diabetes']
+Scores: [0.026639806106686592]
+Labels: ['Cancer']
+Scores: [0.03212464600801468]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8074816465377808]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04918647184967995]
+Labels: ['Mental Health']
+Scores: [0.017254585400223732]
+Labels: ['Diabetes type 1']
+Scores: [0.16257084906101227]
+Labels: ['Diabetes type 2']
+Scores: [0.11207152158021927]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39334540
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Italy', 'Child', 'Pesticides', 'Female', 'Male', 'Adolescent', 'Environmental Exposure', 'Surveys and Questionnaires', 'Risk Factors', 'Health Status', 'Logistic Models', 'Agriculture', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14840543270111084]
+Labels: ['Diabetes']
+Scores: [0.054584335535764694]
+Labels: ['Cancer']
+Scores: [0.06806845963001251]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7289256453514099]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08124060928821564]
+Labels: ['Mental Health']
+Scores: [0.08019056171178818]
+Labels: ['Diabetes type 1']
+Scores: [0.13567139208316803]
+Labels: ['Diabetes type 2']
+Scores: [0.15866482257843018]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39332351
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Wildfires', 'Smoke', 'Occupational Exposure', 'Firefighters', 'Respiratory Tract Diseases', 'Respiratory Function Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1903025209903717]
+Labels: ['Diabetes']
+Scores: [0.003152066608890891]
+Labels: ['Cancer']
+Scores: [0.004079020116478205]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3178671598434448]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005815366166643798]
+Labels: ['Mental Health']
+Scores: [0.000831938348710537]
+Labels: ['Diabetes type 1']
+Scores: [0.00740686384961009]
+Labels: ['Diabetes type 2']
+Scores: [0.00649187620729208]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39331188
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'COVID-19', 'Glioma', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Adult', 'Aged', 'Brain Neoplasms', 'SEER Program', 'Young Adult', 'Pandemics', 'Respiratory Tract Diseases', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03237360715866089]
+Labels: ['Diabetes']
+Scores: [0.0027357591316103935]
+Labels: ['Cancer']
+Scores: [0.04289284721016884]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5218868851661682]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001956626772880554]
+Labels: ['Mental Health']
+Scores: [0.005262722726911306]
+Labels: ['Diabetes type 1']
+Scores: [0.005991390440613031]
+Labels: ['Diabetes type 2']
+Scores: [0.005692191421985626]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39323116
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Vietnam', 'Male', 'Female', 'Prospective Studies', 'Infant', 'Infant, Newborn', 'Intensive Care Units, Pediatric', 'Infant, Premature', 'Critical Illness', 'Respiration, Artificial', 'Length of Stay', 'Child, Preschool', 'Respiratory Tract Diseases', 'Infant, Premature, Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001073716557584703]
+Labels: ['Diabetes']
+Scores: [0.00020366506942082196]
+Labels: ['Cancer']
+Scores: [0.00012054848048137501]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05220693722367287]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012107053044019267]
+Labels: ['Mental Health']
+Scores: [8.204644109355286e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0014229066437110305]
+Labels: ['Diabetes type 2']
+Scores: [0.001474468968808651]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316790
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Particulate Matter', 'China', 'Male', 'Female', 'Middle Aged', 'Cohort Studies', 'Environmental Exposure', 'Adult', 'Respiratory Tract Diseases', 'Aged', 'Air Pollutants', 'Air Pollution']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.016810478642582893]
+Labels: ['Diabetes']
+Scores: [0.0010291115613654256]
+Labels: ['Cancer']
+Scores: [0.000566616712603718]
+Labels: ['Chronic respiratory disease']
+Scores: [0.17756730318069458]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023976188094820827]
+Labels: ['Mental Health']
+Scores: [0.0007198290550149977]
+Labels: ['Diabetes type 1']
+Scores: [0.004735237918794155]
+Labels: ['Diabetes type 2']
+Scores: [0.003888360457494855]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39316681
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Animals', 'Respiratory Tract Diseases', 'Mechanotransduction, Cellular', 'Stress, Mechanical', 'Extracellular Matrix', 'Respiratory Mechanics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1364130973815918]
+Labels: ['Diabetes']
+Scores: [0.007135952822864056]
+Labels: ['Cancer']
+Scores: [0.07721367478370667]
+Labels: ['Chronic respiratory disease']
+Scores: [0.31120938062667847]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002701627556234598]
+Labels: ['Mental Health']
+Scores: [0.01992504484951496]
+Labels: ['Diabetes type 1']
+Scores: [0.019735116511583328]
+Labels: ['Diabetes type 2']
+Scores: [0.019150694832205772]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39314792
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Air Pollutants', 'Particulate Matter', 'Respiratory Function Tests', 'Air Pollution', 'Nitrogen Dioxide', 'Environmental Exposure', 'Chronic Disease', 'Male', 'Forced Expiratory Volume', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0035478980280458927]
+Labels: ['Diabetes']
+Scores: [0.001459272694773972]
+Labels: ['Cancer']
+Scores: [0.001665821997448802]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9181613922119141]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005461183609440923]
+Labels: ['Mental Health']
+Scores: [0.0019177726935595274]
+Labels: ['Diabetes type 1']
+Scores: [0.0072038667276501656]
+Labels: ['Diabetes type 2']
+Scores: [0.005342336371541023]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39304964
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Bronchoscopy', 'Infant, Newborn', 'Retrospective Studies', 'Male', 'Female', 'Fiber Optic Technology', 'Respiratory Tract Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009609352797269821]
+Labels: ['Diabetes']
+Scores: [0.0009348472231067717]
+Labels: ['Cancer']
+Scores: [0.0009653550805523992]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011936984956264496]
+Labels: ['Cardiovascular diseases']
+Scores: [8.116626850096509e-05]
+Labels: ['Mental Health']
+Scores: [0.00024933027452789247]
+Labels: ['Diabetes type 1']
+Scores: [0.0038946163840591908]
+Labels: ['Diabetes type 2']
+Scores: [0.004555201157927513]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39293035
+Predictions: ['Chronic respiratory disease']
+MeshTerm: ['Humans', 'Child', 'Respiratory Tract Diseases', 'Pediatrics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0016088144620880485]
+Labels: ['Diabetes']
+Scores: [0.0003342863346915692]
+Labels: ['Cancer']
+Scores: [0.00017709226813167334]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18830455839633942]
+Labels: ['Cardiovascular diseases']
+Scores: [9.98109026113525e-05]
+Labels: ['Mental Health']
+Scores: [0.00013319826393853873]
+Labels: ['Diabetes type 1']
+Scores: [0.0017564226873219013]
+Labels: ['Diabetes type 2']
+Scores: [0.0021642118226736784]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypertension', 'Machine Learning', 'Male', 'Adult', 'Middle Aged', 'Female', 'Iran', 'Risk Assessment', 'Internet', 'Occupational Health', 'Miners', 'Mining', 'Risk Factors', 'Occupational Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.48338446021080017]
+Labels: ['Diabetes']
+Scores: [0.016481153666973114]
+Labels: ['Cancer']
+Scores: [0.008841458708047867]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06585370749235153]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9741488099098206]
+Labels: ['Mental Health']
+Scores: [0.020463967695832253]
+Labels: ['Diabetes type 1']
+Scores: [0.054134391248226166]
+Labels: ['Diabetes type 2']
+Scores: [0.048043251037597656]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39738021
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Dust', 'Humans', 'Hospitalization', 'Free Radicals', 'Air Pollutants', 'Oxidative Stress', 'Particulate Matter', 'China', 'Environmental Exposure', 'Beijing', 'Sand', 'Respiratory Tract Diseases', 'Oxidation-Reduction', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2648334503173828]
+Labels: ['Diabetes']
+Scores: [0.026835717260837555]
+Labels: ['Cancer']
+Scores: [0.015716029331088066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.6679342985153198]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014960195869207382]
+Labels: ['Mental Health']
+Scores: [0.05021118372678757]
+Labels: ['Diabetes type 1']
+Scores: [0.07831867039203644]
+Labels: ['Diabetes type 2']
+Scores: [0.08234002441167831]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738016
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Gastrointestinal Microbiome', 'Male', 'Glutamine', 'Cardiovascular Diseases', 'Mice', 'Humans', 'Mice, Inbred C57BL', 'Myocytes, Cardiac', 'Ethanol', 'Oxidative Stress', 'Fecal Microbiota Transplantation', 'Alcoholism', 'Disease Models, Animal', 'Female', 'Glutamates', 'Endothelial Cells', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11128891259431839]
+Labels: ['Diabetes']
+Scores: [0.004670844413340092]
+Labels: ['Cancer']
+Scores: [0.0033968135248869658]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0060701994225382805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9851129055023193]
+Labels: ['Mental Health']
+Scores: [0.011739900335669518]
+Labels: ['Diabetes type 1']
+Scores: [0.011554194614291191]
+Labels: ['Diabetes type 2']
+Scores: [0.01471090130507946]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03876395523548126]
+Labels: ['Diabetes']
+Scores: [0.846940279006958]
+Labels: ['Cancer']
+Scores: [0.0019682878628373146]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007764291949570179]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9297735691070557]
+Labels: ['Mental Health']
+Scores: [0.0009127925732173026]
+Labels: ['Diabetes type 1']
+Scores: [0.0003127276722807437]
+Labels: ['Diabetes type 2']
+Scores: [0.994111955165863]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736721
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sarcopenia', 'Female', 'Male', 'Middle Aged', 'Prospective Studies', 'Cardiovascular Diseases', 'Incidence', 'Aged', 'China', 'Longitudinal Studies', 'Risk Factors', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005175885744392872]
+Labels: ['Diabetes']
+Scores: [0.02624785527586937]
+Labels: ['Cancer']
+Scores: [0.015305100940167904]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03713129088282585]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9723467826843262]
+Labels: ['Mental Health']
+Scores: [0.000708743289578706]
+Labels: ['Diabetes type 1']
+Scores: [0.07036282122135162]
+Labels: ['Diabetes type 2']
+Scores: [0.07250545173883438]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736689
+Predictions: ['Diabetes', 'Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Neoplasms', 'Male', 'Female', 'Middle Aged', 'Adult', 'Longitudinal Studies', 'Aged', 'Proportional Hazards Models', 'Diabetes Mellitus', 'Risk Factors', 'Cardiometabolic Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03347767889499664]
+Labels: ['Diabetes']
+Scores: [0.004403223749250174]
+Labels: ['Cancer']
+Scores: [0.877124547958374]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01172280590981245]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8876885771751404]
+Labels: ['Mental Health']
+Scores: [0.0018215678865090013]
+Labels: ['Diabetes type 1']
+Scores: [0.008391807787120342]
+Labels: ['Diabetes type 2']
+Scores: [0.009219110012054443]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736563
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Cholesterol, HDL', 'Retrospective Studies', 'C-Reactive Protein', 'Biomarkers', 'Cardiovascular Diseases', 'Risk Assessment', 'Adult', 'Predictive Value of Tests', 'Time Factors', 'Nutrition Surveys', 'Cause of Death', 'Prognosis', 'United States', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0016681412234902382]
+Labels: ['Diabetes']
+Scores: [0.001999732805415988]
+Labels: ['Cancer']
+Scores: [0.00018907860794570297]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00043111527338624]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9839853048324585]
+Labels: ['Mental Health']
+Scores: [0.00021537806605920196]
+Labels: ['Diabetes type 1']
+Scores: [0.004742769990116358]
+Labels: ['Diabetes type 2']
+Scores: [0.00453211972489953]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cardiovascular Diseases', 'Middle Aged', 'Aged', 'Depression', 'Longitudinal Studies', 'Social Support', 'Cognition', 'Risk Factors', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003621878568083048]
+Labels: ['Diabetes']
+Scores: [0.00029572134371846914]
+Labels: ['Cancer']
+Scores: [0.0006844234303571284]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005033419001847506]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9897374510765076]
+Labels: ['Mental Health']
+Scores: [0.04717689007520676]
+Labels: ['Diabetes type 1']
+Scores: [0.0003405921452213079]
+Labels: ['Diabetes type 2']
+Scores: [0.00040405007894150913]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736180
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Food, Fortified', 'Fatty Acids, Omega-3', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11587889492511749]
+Labels: ['Diabetes']
+Scores: [0.038115281611680984]
+Labels: ['Cancer']
+Scores: [0.02091607078909874]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05476315692067146]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9864011406898499]
+Labels: ['Mental Health']
+Scores: [0.012278750538825989]
+Labels: ['Diabetes type 1']
+Scores: [0.0792180746793747]
+Labels: ['Diabetes type 2']
+Scores: [0.07121783494949341]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39736025
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Rabbits', 'Male', 'Hypothyroidism', 'Female', 'Retrospective Studies', 'Thyroxine', 'Cardiovascular Diseases', 'Echocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16218742728233337]
+Labels: ['Diabetes']
+Scores: [0.03274138271808624]
+Labels: ['Cancer']
+Scores: [0.017384784296154976]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02536635473370552]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9884176254272461]
+Labels: ['Mental Health']
+Scores: [0.019730158150196075]
+Labels: ['Diabetes type 1']
+Scores: [0.034997910261154175]
+Labels: ['Diabetes type 2']
+Scores: [0.058331940323114395]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735642
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Leukocytes', 'Liver Diseases, Alcoholic', 'Telomere', 'Adult', 'Nutrition Surveys', 'Prognosis', 'Telomere Homeostasis', 'Aged', 'Risk Factors', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11747980862855911]
+Labels: ['Diabetes']
+Scores: [0.011160452850162983]
+Labels: ['Cancer']
+Scores: [0.15152595937252045]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007741815876215696]
+Labels: ['Cardiovascular diseases']
+Scores: [0.31854885816574097]
+Labels: ['Mental Health']
+Scores: [0.0017913351766765118]
+Labels: ['Diabetes type 1']
+Scores: [0.022246217355132103]
+Labels: ['Diabetes type 2']
+Scores: [0.0233162734657526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735545
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Single-Chain Antibodies', 'Animals', 'Theranostic Nanomedicine', 'Precision Medicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023936638608574867]
+Labels: ['Diabetes']
+Scores: [0.01399353239685297]
+Labels: ['Cancer']
+Scores: [0.010539696551859379]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0239219032227993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9947125911712646]
+Labels: ['Mental Health']
+Scores: [0.008745402097702026]
+Labels: ['Diabetes type 1']
+Scores: [0.061613231897354126]
+Labels: ['Diabetes type 2']
+Scores: [0.05319707840681076]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735488
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypothyroidism', 'Hyperthyroidism', 'Thyroid Diseases', 'Thyroid Gland', 'Thyroid Hormones']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05029464513063431]
+Labels: ['Diabetes']
+Scores: [0.030176717787981033]
+Labels: ['Cancer']
+Scores: [0.024969128891825676]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029914891347289085]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9576355218887329]
+Labels: ['Mental Health']
+Scores: [0.03151910379528999]
+Labels: ['Diabetes type 1']
+Scores: [0.05968048796057701]
+Labels: ['Diabetes type 2']
+Scores: [0.06131456419825554]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735485
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Comorbidity', 'Nervous System Diseases', 'Cardiovascular Diseases', 'Parkinson Disease', 'Risk Factors', 'Multiple Sclerosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14683540165424347]
+Labels: ['Diabetes']
+Scores: [0.03447461500763893]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.05700407549738884]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9463450312614441]
+Labels: ['Mental Health']
+Scores: [0.12562982738018036]
+Labels: ['Diabetes type 1']
+Scores: [0.062005165964365005]
+Labels: ['Diabetes type 2']
+Scores: [0.05788861960172653]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733208
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Female', 'Male', 'Cross-Sectional Studies', 'Apolipoproteins B', 'Cholesterol', 'Brazil', 'Genetic Predisposition to Disease', 'Risk Factors', 'Cardiovascular Diseases', 'Dyslipidemias', 'Apolipoprotein B-100', 'Polymorphism, Genetic', 'Alleles', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12316733598709106]
+Labels: ['Diabetes']
+Scores: [0.01847630739212036]
+Labels: ['Cancer']
+Scores: [0.01245938055217266]
+Labels: ['Chronic respiratory disease']
+Scores: [0.040404342114925385]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9671714901924133]
+Labels: ['Mental Health']
+Scores: [0.01549798808991909]
+Labels: ['Diabetes type 1']
+Scores: [0.03698479384183884]
+Labels: ['Diabetes type 2']
+Scores: [0.039668139070272446]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733181
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Air Pollution', 'Air Pollutants', 'Iran', 'Meteorological Concepts', 'Particulate Matter', 'Seasons', 'Sulfur Dioxide', 'Climate Change', 'Weather', 'Random Forest']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13739168643951416]
+Labels: ['Diabetes']
+Scores: [0.008622212335467339]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.038181714713573456]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9753770232200623]
+Labels: ['Mental Health']
+Scores: [0.0130731500685215]
+Labels: ['Diabetes type 1']
+Scores: [0.014032477512955666]
+Labels: ['Diabetes type 2']
+Scores: [0.013285750523209572]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733164
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Aged', 'Incidence', 'SARS-CoV-2', 'Urban Population', 'Adult', 'New York City', 'Risk Factors', 'Hospitalization', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.47263357043266296]
+Labels: ['Diabetes']
+Scores: [0.05264894291758537]
+Labels: ['Cancer']
+Scores: [0.12680810689926147]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5057132840156555]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9966219663619995]
+Labels: ['Mental Health']
+Scores: [0.2012990266084671]
+Labels: ['Diabetes type 1']
+Scores: [0.07688629627227783]
+Labels: ['Diabetes type 2']
+Scores: [0.0972173660993576]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733154
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Triglycerides', 'Arthritis', 'Blood Glucose', 'Nutrition Surveys', 'Risk Factors', 'Adult', 'Aged', 'Proportional Hazards Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5104406476020813]
+Labels: ['Diabetes']
+Scores: [0.11809838563203812]
+Labels: ['Cancer']
+Scores: [0.06789924949407578]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2066933810710907]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7588228583335876]
+Labels: ['Mental Health']
+Scores: [0.1068834736943245]
+Labels: ['Diabetes type 1']
+Scores: [0.20420560240745544]
+Labels: ['Diabetes type 2']
+Scores: [0.21476627886295319]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733150
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Ethiopia', 'Humans', 'Cardiovascular Diseases', 'Drugs, Essential', 'Cross-Sectional Studies', 'Health Services Accessibility', 'Drugs, Generic', 'Drug Costs']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019462618976831436]
+Labels: ['Diabetes']
+Scores: [0.05302463099360466]
+Labels: ['Cancer']
+Scores: [0.07193807512521744]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05023665353655815]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9712972640991211]
+Labels: ['Mental Health']
+Scores: [0.01788335107266903]
+Labels: ['Diabetes type 1']
+Scores: [0.1068122610449791]
+Labels: ['Diabetes type 2']
+Scores: [0.11542785912752151]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39733137
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Manganese', 'Cardiovascular Diseases', 'Adult', 'Male', 'Female', 'Middle Aged', 'United States', 'Cross-Sectional Studies', 'Nutrition Surveys', 'Aged', 'Young Adult', 'Risk Factors', 'Bayes Theorem']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1770390272140503]
+Labels: ['Diabetes']
+Scores: [0.05330583453178406]
+Labels: ['Cancer']
+Scores: [0.046797558665275574]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2054474651813507]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9865821599960327]
+Labels: ['Mental Health']
+Scores: [0.14029785990715027]
+Labels: ['Diabetes type 1']
+Scores: [0.10801292955875397]
+Labels: ['Diabetes type 2']
+Scores: [0.10624430328607559]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732966
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Dyslipidemias', 'Humans', 'Turkey', 'Delphi Technique', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cholesterol, LDL', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'PCSK9 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16496847569942474]
+Labels: ['Diabetes']
+Scores: [0.02037155255675316]
+Labels: ['Cancer']
+Scores: [0.013135634362697601]
+Labels: ['Chronic respiratory disease']
+Scores: [0.029753241688013077]
+Labels: ['Cardiovascular diseases']
+Scores: [0.921973705291748]
+Labels: ['Mental Health']
+Scores: [0.012296712957322598]
+Labels: ['Diabetes type 1']
+Scores: [0.03442602604627609]
+Labels: ['Diabetes type 2']
+Scores: [0.03596213459968567]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732729
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Adipokines', 'Adipose Tissue', 'Adiposity', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Inflammation Mediators', 'Obesity', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002462517935782671]
+Labels: ['Diabetes']
+Scores: [0.7704277038574219]
+Labels: ['Cancer']
+Scores: [0.008493221364915371]
+Labels: ['Chronic respiratory disease']
+Scores: [0.014215619303286076]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9507354497909546]
+Labels: ['Mental Health']
+Scores: [0.004705830477178097]
+Labels: ['Diabetes type 1']
+Scores: [0.1573367714881897]
+Labels: ['Diabetes type 2']
+Scores: [0.16591858863830566]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Sedentary Behavior', 'Young Adult', 'Longitudinal Studies', 'Male', 'Adolescent', 'Female', 'Cardiovascular Diseases', 'Universities', 'Cardiometabolic Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11693886667490005]
+Labels: ['Diabetes']
+Scores: [0.010739460587501526]
+Labels: ['Cancer']
+Scores: [0.00837159063667059]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01678435318171978]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8379636406898499]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.014778492040932178]
+Labels: ['Diabetes type 2']
+Scores: [0.03737880289554596]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732415
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Troponin T', 'Aged', 'Male', 'Female', 'Follow-Up Studies', 'Natriuretic Peptide, Brain', 'Cardiovascular Diseases', 'Aged, 80 and over', 'Biomarkers', 'Peptide Fragments']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06090106815099716]
+Labels: ['Diabetes']
+Scores: [0.024183569476008415]
+Labels: ['Cancer']
+Scores: [0.04473324120044708]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3559110462665558]
+Labels: ['Cardiovascular diseases']
+Scores: [0.980029821395874]
+Labels: ['Mental Health']
+Scores: [0.005468748975545168]
+Labels: ['Diabetes type 1']
+Scores: [0.03151792287826538]
+Labels: ['Diabetes type 2']
+Scores: [0.03684684634208679]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732216
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Antioxidants', 'Flavonoids', 'Nanoparticles', 'Animals', 'Neuroprotective Agents', 'Cosmeceuticals', 'Neoplasms', 'Biological Availability', 'Nanoparticle Drug Delivery System', 'Antineoplastic Agents', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06776044517755508]
+Labels: ['Diabetes']
+Scores: [0.022193294018507004]
+Labels: ['Cancer']
+Scores: [0.3563700318336487]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06827252358198166]
+Labels: ['Cardiovascular diseases']
+Scores: [0.44759130477905273]
+Labels: ['Mental Health']
+Scores: [0.028021879494190216]
+Labels: ['Diabetes type 1']
+Scores: [0.0722508579492569]
+Labels: ['Diabetes type 2']
+Scores: [0.0777004063129425]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731858
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Myocardial Ischemia', 'Wearable Electronic Devices', 'Randomized Controlled Trials as Topic', 'Myocardial Infarction', 'Hospitalization', 'Cardiovascular Diseases', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009369594976305962]
+Labels: ['Diabetes']
+Scores: [0.004911820404231548]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0006720207748003304]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9699574708938599]
+Labels: ['Mental Health']
+Scores: [0.0014658303698524833]
+Labels: ['Diabetes type 1']
+Scores: [0.013291693292558193]
+Labels: ['Diabetes type 2']
+Scores: [0.016220752149820328]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731821
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Biosensing Techniques', 'Biomarkers', 'Cardiovascular Diseases', 'Saliva', 'Lab-On-A-Chip Devices', 'Immunoassay', 'Interleukin-6', 'C-Reactive Protein', 'Equipment Design', 'Procalcitonin', 'Limit of Detection']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0010232110507786274]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.007606636732816696]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002519674366340041]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9967445731163025]
+Labels: ['Mental Health']
+Scores: [0.005128845106810331]
+Labels: ['Diabetes type 1']
+Scores: [0.035035423934459686]
+Labels: ['Diabetes type 2']
+Scores: [0.03242753818631172]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bacteria', 'Biomarkers', 'Blood Glucose', 'Cardiometabolic Risk Factors', 'Cardiovascular Diseases', 'China', 'Cholesterol, HDL', 'Cholesterol, LDL', 'Cohort Studies', 'East Asian People', 'Feces', 'Gastrointestinal Microbiome', 'Indoleacetic Acids', 'Indoles', 'Propionates', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018206218257546425]
+Labels: ['Diabetes']
+Scores: [0.05288027226924896]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.03852596879005432]
+Labels: ['Cardiovascular diseases']
+Scores: [0.698667049407959]
+Labels: ['Mental Health']
+Scores: [0.0009779998799785972]
+Labels: ['Diabetes type 1']
+Scores: [0.044619038701057434]
+Labels: ['Diabetes type 2']
+Scores: [0.06903845071792603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731068
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Nutrition Surveys', 'Neoplasms', 'Adult', 'Aged', 'Triglycerides', 'Cause of Death', 'Waist Circumference', 'Cholesterol, HDL', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Body Mass Index', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05267816409468651]
+Labels: ['Diabetes']
+Scores: [0.006885495502501726]
+Labels: ['Cancer']
+Scores: [0.13973689079284668]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06611332297325134]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8593057990074158]
+Labels: ['Mental Health']
+Scores: [0.0029781381599605083]
+Labels: ['Diabetes type 1']
+Scores: [0.043215565383434296]
+Labels: ['Diabetes type 2']
+Scores: [0.04328732565045357]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731058
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'United States', 'Middle Aged', 'Depression', 'Adult', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Aged', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015111682936549187]
+Labels: ['Diabetes']
+Scores: [0.001185453380458057]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0011248418595641851]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6086727976799011]
+Labels: ['Mental Health']
+Scores: [0.7492164373397827]
+Labels: ['Diabetes type 1']
+Scores: [0.0035704937763512135]
+Labels: ['Diabetes type 2']
+Scores: [0.0031621071975678205]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730958
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Triglycerides', 'Female', 'Middle Aged', 'Cardiovascular Diseases', 'Blood Glucose', 'Aged', 'Retrospective Studies', 'Cross-Sectional Studies', 'Atherosclerosis', 'China', 'Risk Factors', 'Longitudinal Studies', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17672701179981232]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
+Scores: [0.966659665107727]
+Labels: ['Mental Health']
+Scores: [0.0278437789529562]
+Labels: ['Diabetes type 1']
+Scores: [0.0887739360332489]
+Labels: ['Diabetes type 2']
+Scores: [0.07968834787607193]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730871
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Genome-Wide Association Study', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Carotid Intima-Media Thickness', 'Genetic Pleiotropy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003686905838549137]
+Labels: ['Diabetes']
+Scores: [0.017987579107284546]
+Labels: ['Cancer']
+Scores: [0.005363155156373978]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01573507860302925]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9921860694885254]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.009180469438433647]
+Labels: ['Diabetes type 2']
+Scores: [0.3871629536151886]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730843
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Electrocardiography', 'Male', 'Female', 'Middle Aged', 'Smoking', 'Adult', 'Cotinine', 'Arrhythmias, Cardiac', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15876486897468567]
+Labels: ['Diabetes']
+Scores: [0.018624689429998398]
+Labels: ['Cancer']
+Scores: [0.025095084682106972]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2168017029762268]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9727455973625183]
+Labels: ['Mental Health']
+Scores: [0.06617405265569687]
+Labels: ['Diabetes type 1']
+Scores: [0.05879220366477966]
+Labels: ['Diabetes type 2']
+Scores: [0.05631284788250923]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730815
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chile', 'Male', 'Female', 'Exercise', 'Adult', 'Middle Aged', 'Depression', 'Cardiometabolic Risk Factors', 'Obesity', 'Prevalence', 'Overweight', 'Risk Factors', 'Aged', 'Young Adult', 'Cardiovascular Diseases', 'Waist Circumference', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3244963586330414]
+Labels: ['Diabetes']
+Scores: [0.06869326531887054]
+Labels: ['Cancer']
+Scores: [0.019064022228121758]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06709711998701096]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5933839678764343]
+Labels: ['Mental Health']
+Scores: [0.20307248830795288]
+Labels: ['Diabetes type 1']
+Scores: [0.06215132772922516]
+Labels: ['Diabetes type 2']
+Scores: [0.08052434027194977]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730723
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Calculi', 'Male', 'Female', 'Cross-Sectional Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Nutrition Surveys', 'Risk Factors', 'Aged', 'Cardiovascular Diseases', 'United States', 'Incidence', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4731173813343048]
+Labels: ['Diabetes']
+Scores: [0.952970027923584]
+Labels: ['Cancer']
+Scores: [0.028728680685162544]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08752413094043732]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7559065222740173]
+Labels: ['Mental Health']
+Scores: [0.08241716772317886]
+Labels: ['Diabetes type 1']
+Scores: [0.3423559367656708]
+Labels: ['Diabetes type 2']
+Scores: [0.3493865728378296]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730493
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Heart Rate', 'Female', 'Middle Aged', 'Autonomic Nervous System', 'Aged', 'Adult', 'Cardiovascular Diseases', 'Electrocardiography', 'SARS-CoV-2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.5511741042137146]
+Labels: ['Diabetes']
+Scores: [0.13077397644519806]
+Labels: ['Cancer']
+Scores: [0.08965891599655151]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7828804850578308]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9520444273948669]
+Labels: ['Mental Health']
+Scores: [0.24609851837158203]
+Labels: ['Diabetes type 1']
+Scores: [0.2085358053445816]
+Labels: ['Diabetes type 2']
+Scores: [0.22959493100643158]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730152
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Bangladesh', 'Cross-Sectional Studies', 'Dyslipidemias', 'Middle Aged', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Diet', 'Aged, 80 and over', 'Logistic Models', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018035368993878365]
+Labels: ['Diabetes']
+Scores: [0.00663168216124177]
+Labels: ['Cancer']
+Scores: [0.003469595918431878]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009876785334199667]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9926496148109436]
+Labels: ['Mental Health']
+Scores: [0.0030622296035289764]
+Labels: ['Diabetes type 1']
+Scores: [0.008912036195397377]
+Labels: ['Diabetes type 2']
+Scores: [0.011083917692303658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729514
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Tobacco Smoke Pollution', 'Global Burden of Disease', 'Male', 'Female', 'Disability-Adjusted Life Years', 'Middle Aged', 'Global Health', 'Adult', 'Aged', 'Quality-Adjusted Life Years']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011472080834209919]
+Labels: ['Diabetes']
+Scores: [0.00296057783998549]
+Labels: ['Cancer']
+Scores: [0.008780548349022865]
+Labels: ['Chronic respiratory disease']
+Scores: [0.22357673943042755]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9891255497932434]
+Labels: ['Mental Health']
+Scores: [0.002230557380244136]
+Labels: ['Diabetes type 1']
+Scores: [0.015770237892866135]
+Labels: ['Diabetes type 2']
+Scores: [0.013469114899635315]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729492
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Adult', 'United States', 'Nutrition Surveys', 'Bayes Theorem', 'Environmental Exposure', 'Metals', 'Aged', 'Proportional Hazards Models', 'Cause of Death', 'Lead']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02287732996046543]
+Labels: ['Diabetes']
+Scores: [0.002490442246198654]
+Labels: ['Cancer']
+Scores: [0.0019426565850153565]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006758722010999918]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9021359086036682]
+Labels: ['Mental Health']
+Scores: [0.0028725096490234137]
+Labels: ['Diabetes type 1']
+Scores: [0.006350656971335411]
+Labels: ['Diabetes type 2']
+Scores: [0.0066671669483184814]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729424
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Polymorphism, Single Nucleotide', 'Genome-Wide Association Study', 'Male', 'Female', 'Phenotype', 'Norway', 'Genetic Predisposition to Disease', 'Cardiovascular Diseases', 'Phenomics', 'Middle Aged', 'Linkage Disequilibrium', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12142416834831238]
+Labels: ['Diabetes']
+Scores: [0.11008968949317932]
+Labels: ['Cancer']
+Scores: [0.09656639397144318]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2137022614479065]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9941892623901367]
+Labels: ['Mental Health']
+Scores: [0.03442968800663948]
+Labels: ['Diabetes type 1']
+Scores: [0.2192888706922531]
+Labels: ['Diabetes type 2']
+Scores: [0.2222990244626999]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727377
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Male', 'Retrospective Studies', 'Middle Aged', 'Blood Pressure', 'Renal Dialysis', 'Crystalloid Solutions', 'Osmotic Pressure', 'Aged', 'Kidney Failure, Chronic', 'Cardiovascular Diseases', 'Risk Factors', 'Adult', 'ROC Curve']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010244143195450306]
+Labels: ['Diabetes']
+Scores: [0.0005211102543398738]
+Labels: ['Cancer']
+Scores: [0.00042963767191395164]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005747459945268929]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3461858034133911]
+Labels: ['Mental Health']
+Scores: [0.0005806872504763305]
+Labels: ['Diabetes type 1']
+Scores: [0.0023871902376413345]
+Labels: ['Diabetes type 2']
+Scores: [0.004680138546973467]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0021307661663740873]
+Labels: ['Diabetes']
+Scores: [0.9264912605285645]
+Labels: ['Cancer']
+Scores: [0.0001978364889509976]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000337695557391271]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7853571176528931]
+Labels: ['Mental Health']
+Scores: [0.00034898638841696084]
+Labels: ['Diabetes type 1']
+Scores: [0.9959509968757629]
+Labels: ['Diabetes type 2']
+Scores: [0.00017160878633148968]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726401
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Glycogen Synthase Kinase 3 beta', 'Cardiovascular Diseases', 'Wnt Signaling Pathway', 'Animals', 'Adipose Tissue', 'beta Catenin', 'Metabolic Syndrome', 'Metabolic Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09084334224462509]
+Labels: ['Diabetes']
+Scores: [0.04357054457068443]
+Labels: ['Cancer']
+Scores: [0.027446307241916656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037202075123786926]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8675256371498108]
+Labels: ['Mental Health']
+Scores: [0.04040119796991348]
+Labels: ['Diabetes type 1']
+Scores: [0.05332569405436516]
+Labels: ['Diabetes type 2']
+Scores: [0.06405115127563477]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725874
+Predictions: ['Diabetes', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Uric Acid', 'Nutrition Surveys', 'Cholesterol, HDL', 'Middle Aged', 'Cardiovascular Diseases', 'Diabetes Mellitus', 'Biomarkers', 'Risk Assessment', 'Cause of Death', 'United States', 'Time Factors', 'Adult', 'Longitudinal Studies', 'Prognosis', 'Aged', 'Sex Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0272536501288414]
+Labels: ['Diabetes']
+Scores: [0.8454625606536865]
+Labels: ['Cancer']
+Scores: [0.001214143936522305]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022401358000934124]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9846840500831604]
+Labels: ['Mental Health']
+Scores: [0.0012581459013745189]
+Labels: ['Diabetes type 1']
+Scores: [0.5383432507514954]
+Labels: ['Diabetes type 2']
+Scores: [0.5631515383720398]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725697
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Klotho Proteins', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prospective Studies', 'Adult', 'Nutrition Surveys', 'Aged', 'Cause of Death', 'Depression', 'Proportional Hazards Models', 'Mortality', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16923512518405914]
+Labels: ['Diabetes']
+Scores: [0.06624338030815125]
+Labels: ['Cancer']
+Scores: [0.04527224227786064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11182378232479095]
+Labels: ['Cardiovascular diseases']
+Scores: [0.926738440990448]
+Labels: ['Mental Health']
+Scores: [0.3777141273021698]
+Labels: ['Diabetes type 1']
+Scores: [0.1291147619485855]
+Labels: ['Diabetes type 2']
+Scores: [0.13202472031116486]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725339
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'beta Catenin', 'Cardiovascular Diseases', 'Receptors, Notch', 'Wnt Signaling Pathway']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01737886853516102]
+Labels: ['Diabetes']
+Scores: [0.015189945697784424]
+Labels: ['Cancer']
+Scores: [0.012648056261241436]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03882848098874092]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9055376648902893]
+Labels: ['Mental Health']
+Scores: [0.028927801176905632]
+Labels: ['Diabetes type 1']
+Scores: [0.038127802312374115]
+Labels: ['Diabetes type 2']
+Scores: [0.035780832171440125]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724625
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Ukraine', 'Middle Aged', 'Emergency Responders', 'Adult', 'Military Personnel', 'Electrocardiography', 'Radiation Exposure', 'Occupational Exposure', 'Hypertension', 'Echocardiography', 'Cardiovascular System', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10611514747142792]
+Labels: ['Diabetes']
+Scores: [0.004899509251117706]
+Labels: ['Cancer']
+Scores: [0.0032643009908497334]
+Labels: ['Chronic respiratory disease']
+Scores: [0.8296937942504883]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9942987561225891]
+Labels: ['Mental Health']
+Scores: [0.0011709514074027538]
+Labels: ['Diabetes type 1']
+Scores: [0.009446946904063225]
+Labels: ['Diabetes type 2']
+Scores: [0.010938189923763275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724617
+Predictions: ['Chronic respiratory disease', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Chernobyl Nuclear Accident', 'Male', 'Adult', 'Occupational Exposure', 'Middle Aged', 'Ukraine', 'Radiation Exposure', 'Radiation Dosage', 'Occupational Diseases', 'Cardiovascular Diseases', 'Aged', 'Gamma Rays', 'Radiation Injuries', 'Risk Assessment', 'Cerebrovascular Disorders', 'Myocardial Infarction', 'Respiratory Tract Diseases', 'Digestive System Diseases', 'Emergency Responders', 'Adolescent', 'Cardiomyopathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8894046545028687]
+Labels: ['Diabetes']
+Scores: [0.02301628515124321]
+Labels: ['Cancer']
+Scores: [0.04988371208310127]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07491067051887512]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008368044160306454]
+Labels: ['Mental Health']
+Scores: [0.23148171603679657]
+Labels: ['Diabetes type 1']
+Scores: [0.04424646124243736]
+Labels: ['Diabetes type 2']
+Scores: [0.047808486968278885]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39724119
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mental Disorders', 'Male', 'Adult', 'Female', 'Middle Aged', 'Schizophrenia', 'Mass Screening', 'Healthy Lifestyle', 'Occupational Therapy', 'Cardiovascular Diseases', 'Pilot Projects', 'Risk Factors', 'Physical Therapy Modalities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13296619057655334]
+Labels: ['Diabetes']
+Scores: [0.04198774695396423]
+Labels: ['Cancer']
+Scores: [0.014764782041311264]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06868042051792145]
+Labels: ['Cardiovascular diseases']
+Scores: [0.762427806854248]
+Labels: ['Mental Health']
+Scores: [0.9267874360084534]
+Labels: ['Diabetes type 1']
+Scores: [0.0802917331457138]
+Labels: ['Diabetes type 2']
+Scores: [0.09922188520431519]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39723980
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Delphi Technique', 'Fatty Liver', 'Mass Screening', 'Metabolic Syndrome', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03975990414619446]
+Labels: ['Diabetes']
+Scores: [0.024782031774520874]
+Labels: ['Cancer']
+Scores: [0.008911182172596455]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04798509553074837]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9635139107704163]
+Labels: ['Mental Health']
+Scores: [0.010523417964577675]
+Labels: ['Diabetes type 1']
+Scores: [0.05333258956670761]
+Labels: ['Diabetes type 2']
+Scores: [0.0785447508096695]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723782
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'COVID-19', 'Risk Factors', 'SARS-CoV-2', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00948777049779892]
+Labels: ['Diabetes']
+Scores: [0.00027550599770620465]
+Labels: ['Cancer']
+Scores: [0.00014786800602450967]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015993549022823572]
+Labels: ['Cardiovascular diseases']
+Scores: [0.986301064491272]
+Labels: ['Mental Health']
+Scores: [0.00017618294805288315]
+Labels: ['Diabetes type 1']
+Scores: [0.00318674324080348]
+Labels: ['Diabetes type 2']
+Scores: [0.0030837503727525473]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723699
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Female', 'Male', 'Middle Aged', 'Obesity', 'Cohort Studies', 'Cardiovascular Diseases', 'China', 'Body Mass Index', 'Adult', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018200038000941277]
+Labels: ['Diabetes']
+Scores: [0.004110411275178194]
+Labels: ['Cancer']
+Scores: [0.0024047535844147205]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0065473695285618305]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7694409489631653]
+Labels: ['Mental Health']
+Scores: [0.003367920871824026]
+Labels: ['Diabetes type 1']
+Scores: [0.009626842103898525]
+Labels: ['Diabetes type 2']
+Scores: [0.012412701733410358]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722803
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Testosterone', 'Cross-Sectional Studies', 'Adult', 'Middle Aged', 'Triglycerides', 'Nutrition Surveys', 'Insulin Resistance', 'Cholesterol, HDL', 'Aged', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01598201133310795]
+Labels: ['Diabetes']
+Scores: [0.018766319379210472]
+Labels: ['Cancer']
+Scores: [0.002756094094365835]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03850594162940979]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6507462859153748]
+Labels: ['Mental Health']
+Scores: [0.000685016275383532]
+Labels: ['Diabetes type 1']
+Scores: [0.06264914572238922]
+Labels: ['Diabetes type 2']
+Scores: [0.08068240433931351]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722158
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Comorbidity', 'Kidney Diseases', 'Masked Hypertension', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1112857535481453]
+Labels: ['Diabetes']
+Scores: [0.0016887807287275791]
+Labels: ['Cancer']
+Scores: [0.002690876368433237]
+Labels: ['Chronic respiratory disease']
+Scores: [0.057211510837078094]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8103176951408386]
+Labels: ['Mental Health']
+Scores: [0.005524953827261925]
+Labels: ['Diabetes type 1']
+Scores: [0.0065621621906757355]
+Labels: ['Diabetes type 2']
+Scores: [0.0069112833589315414]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39721760
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Male', 'Female', 'Aged', 'Administration, Inhalation', 'Bronchodilator Agents', 'Cardiovascular Diseases', 'England', 'Adrenal Cortex Hormones', 'Middle Aged', 'Heart Failure', 'Acute Coronary Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007496439386159182]
+Labels: ['Diabetes']
+Scores: [0.00023612580844201148]
+Labels: ['Cancer']
+Scores: [0.000572919612750411]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9775930047035217]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9197323322296143]
+Labels: ['Mental Health']
+Scores: [0.0007962950621731579]
+Labels: ['Diabetes type 1']
+Scores: [0.0005061858682893217]
+Labels: ['Diabetes type 2']
+Scores: [0.0006736873765476048]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721361
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Sleep Apnea, Obstructive', 'Humans', 'Cardiovascular Diseases', 'China', 'Consensus', 'Risk Factors', 'Delphi Technique', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0556214414536953]
+Labels: ['Diabetes']
+Scores: [0.01342640072107315]
+Labels: ['Cancer']
+Scores: [0.0061404090374708176]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2833937406539917]
+Labels: ['Cardiovascular diseases']
+Scores: [0.843451201915741]
+Labels: ['Mental Health']
+Scores: [0.006537180859595537]
+Labels: ['Diabetes type 1']
+Scores: [0.027218172326683998]
+Labels: ['Diabetes type 2']
+Scores: [0.0300131943076849]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00459744269028306]
+Labels: ['Diabetes']
+Scores: [0.799467921257019]
+Labels: ['Cancer']
+Scores: [0.00030269112903624773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004145421553403139]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6067039370536804]
+Labels: ['Mental Health']
+Scores: [0.0002077034441754222]
+Labels: ['Diabetes type 1']
+Scores: [0.0003816337848547846]
+Labels: ['Diabetes type 2']
+Scores: [0.9929570555686951]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719690
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Neoplasms', 'Cardiovascular Diseases', 'Prognosis', 'Risk Factors', 'Antineoplastic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11904033273458481]
+Labels: ['Diabetes']
+Scores: [0.04076381027698517]
+Labels: ['Cancer']
+Scores: [0.8694482445716858]
+Labels: ['Chronic respiratory disease']
+Scores: [0.11986642330884933]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9761698246002197]
+Labels: ['Mental Health']
+Scores: [0.05280390754342079]
+Labels: ['Diabetes type 1']
+Scores: [0.07288780808448792]
+Labels: ['Diabetes type 2']
+Scores: [0.07236144691705704]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719674
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Regenerative Medicine', 'Myocytes, Cardiac', 'Carbon', 'Cell Differentiation', 'Animals', 'Quantum Dots', 'Pluripotent Stem Cells', 'Cardiovascular Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05239744484424591]
+Labels: ['Diabetes']
+Scores: [0.005636155605316162]
+Labels: ['Cancer']
+Scores: [0.006112669128924608]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008698280900716782]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9950005412101746]
+Labels: ['Mental Health']
+Scores: [0.015637950971722603]
+Labels: ['Diabetes type 1']
+Scores: [0.025341250002384186]
+Labels: ['Diabetes type 2']
+Scores: [0.02020805887877941]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719571
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Nutrition Surveys', 'Adult', 'United States', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Young Adult', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3188927173614502]
+Labels: ['Diabetes']
+Scores: [0.09576725214719772]
+Labels: ['Cancer']
+Scores: [0.10602378845214844]
+Labels: ['Chronic respiratory disease']
+Scores: [0.20792008936405182]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9820624589920044]
+Labels: ['Mental Health']
+Scores: [0.10497531294822693]
+Labels: ['Diabetes type 1']
+Scores: [0.1663511097431183]
+Labels: ['Diabetes type 2']
+Scores: [0.17196717858314514]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719456
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Neoplasms', 'Male', 'Female', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Middle Aged', 'Risk Factors', 'Aged', 'Nutrition Surveys', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11156529188156128]
+Labels: ['Diabetes']
+Scores: [0.025378895923495293]
+Labels: ['Cancer']
+Scores: [0.8667357563972473]
+Labels: ['Chronic respiratory disease']
+Scores: [0.38230305910110474]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9294816255569458]
+Labels: ['Mental Health']
+Scores: [0.02153181843459606]
+Labels: ['Diabetes type 1']
+Scores: [0.07656457275152206]
+Labels: ['Diabetes type 2']
+Scores: [0.08791899681091309]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719431
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asian', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'United States', 'Prevalence', 'Adult', 'Aged', 'Sleep', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Cross-Sectional Studies', 'Health Surveys', 'Sleep Duration']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00219660229049623]
+Labels: ['Diabetes']
+Scores: [0.002102073049172759]
+Labels: ['Cancer']
+Scores: [0.0011192649835720658]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022147612180560827]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9851352572441101]
+Labels: ['Mental Health']
+Scores: [0.0014303779462352395]
+Labels: ['Diabetes type 1']
+Scores: [0.013326567597687244]
+Labels: ['Diabetes type 2']
+Scores: [0.011757646687328815]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719421
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Male', 'Renal Insufficiency, Chronic', 'Female', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Risk Assessment', 'Risk Factors', 'Potassium', 'Aged, 80 and over', 'Arrhythmias, Cardiac', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013616944663226604]
+Labels: ['Diabetes']
+Scores: [0.0006779493414796889]
+Labels: ['Cancer']
+Scores: [0.0011132456129416823]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005179567378945649]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9496597647666931]
+Labels: ['Mental Health']
+Scores: [0.0006472910172306001]
+Labels: ['Diabetes type 1']
+Scores: [0.0003800233535002917]
+Labels: ['Diabetes type 2']
+Scores: [0.0005155389080755413]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719405
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Female', 'Adult', 'Nutrition Surveys', 'Chronic Disease', 'United States', 'Cardiovascular Diseases', 'Aged', 'Health Status', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010485599748790264]
+Labels: ['Diabetes']
+Scores: [0.11173782497644424]
+Labels: ['Cancer']
+Scores: [0.008580464869737625]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08559480309486389]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9446507096290588]
+Labels: ['Mental Health']
+Scores: [0.002933017909526825]
+Labels: ['Diabetes type 1']
+Scores: [0.11263811588287354]
+Labels: ['Diabetes type 2']
+Scores: [0.14405210316181183]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719315
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Kidney Neoplasms', 'Male', 'Nephrectomy', 'Female', 'Middle Aged', 'Propensity Score', 'Aged', 'Retrospective Studies', 'Cardiovascular Diseases', 'Risk Factors', 'Carcinoma, Renal Cell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3269546926021576]
+Labels: ['Diabetes']
+Scores: [0.03964284807443619]
+Labels: ['Cancer']
+Scores: [0.9026927947998047]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09066898375749588]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9759712219238281]
+Labels: ['Mental Health']
+Scores: [0.11039130389690399]
+Labels: ['Diabetes type 1']
+Scores: [0.11296020448207855]
+Labels: ['Diabetes type 2']
+Scores: [0.10450838506221771]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8630768060684204]
+Labels: ['Diabetes']
+Scores: [0.9694166779518127]
+Labels: ['Cancer']
+Scores: [0.0004044428642373532]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011504451977089047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011462975526228547]
+Labels: ['Mental Health']
+Scores: [0.0008358961204066873]
+Labels: ['Diabetes type 1']
+Scores: [0.10897441953420639]
+Labels: ['Diabetes type 2']
+Scores: [0.1465490162372589]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[0, 2], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01482242438942194]
+Labels: ['Diabetes']
+Scores: [0.9590070843696594]
+Labels: ['Cancer']
+Scores: [0.0028412416577339172]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00026318745221942663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.126224085688591]
+Labels: ['Mental Health']
+Scores: [9.945554484147578e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.800378807587549e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.9608557820320129]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39718412
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Tea', 'Cerebrovascular Disorders', 'Cardiovascular Diseases', 'China', 'Aged, 80 and over', 'Longitudinal Studies', 'Proportional Hazards Models', 'Longevity', 'Mortality', 'Middle Aged', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004318057093769312]
+Labels: ['Diabetes']
+Scores: [0.001996344421058893]
+Labels: ['Cancer']
+Scores: [0.001105356845073402]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00639142794534564]
+Labels: ['Cardiovascular diseases']
+Scores: [0.46151047945022583]
+Labels: ['Mental Health']
+Scores: [0.0032926159910857677]
+Labels: ['Diabetes type 1']
+Scores: [0.009627408348023891]
+Labels: ['Diabetes type 2']
+Scores: [0.00913587398827076]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.40686091780662537]
+Labels: ['Diabetes']
+Scores: [0.2080659121274948]
+Labels: ['Cancer']
+Scores: [0.00743379769846797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016917018219828606]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49789103865623474]
+Labels: ['Mental Health']
+Scores: [0.030457327142357826]
+Labels: ['Diabetes type 1']
+Scores: [0.034479763358831406]
+Labels: ['Diabetes type 2']
+Scores: [0.41337570548057556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717783
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Animals', 'Humans', 'Cardiovascular Diseases', 'Heart Disease Risk Factors', 'Periodontitis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9410779476165771]
+Labels: ['Diabetes']
+Scores: [0.02601705491542816]
+Labels: ['Cancer']
+Scores: [0.008178208023309708]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03835815563797951]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8506022095680237]
+Labels: ['Mental Health']
+Scores: [0.018456818535923958]
+Labels: ['Diabetes type 1']
+Scores: [0.04442474991083145]
+Labels: ['Diabetes type 2']
+Scores: [0.07309479266405106]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717036
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Sweden', 'Middle Aged', 'Female', 'Cardiovascular Diseases', 'Aged', 'Aged, 80 and over', 'Incidence', 'Surveys and Questionnaires', 'Risk Factors', 'Sugar-Sweetened Beverages', 'Diet', 'Dietary Sugars']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06869488954544067]
+Labels: ['Diabetes']
+Scores: [0.01243345346301794]
+Labels: ['Cancer']
+Scores: [0.001553682959638536]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006069213151931763]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9815472364425659]
+Labels: ['Mental Health']
+Scores: [0.0023014259058982134]
+Labels: ['Diabetes type 1']
+Scores: [0.01619824208319187]
+Labels: ['Diabetes type 2']
+Scores: [0.01655978336930275]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39717032
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Obesity', 'Middle Aged', 'Adult', 'Retrospective Studies', 'Neoplasms', 'Nutrition Surveys', 'Cardiovascular Diseases', 'Phenotype', 'Proportional Hazards Models', 'Risk Factors', 'Cause of Death', 'Aged', 'Age Factors', 'Body Mass Index', 'Kaplan-Meier Estimate']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.142561137676239]
+Labels: ['Diabetes']
+Scores: [0.007384692318737507]
+Labels: ['Cancer']
+Scores: [0.3835180997848511]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00327709480188787]
+Labels: ['Cardiovascular diseases']
+Scores: [0.708371102809906]
+Labels: ['Mental Health']
+Scores: [0.0029526434373110533]
+Labels: ['Diabetes type 1']
+Scores: [0.014450273476541042]
+Labels: ['Diabetes type 2']
+Scores: [0.01430712454020977]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0024822428822517395]
+Labels: ['Diabetes']
+Scores: [0.005011562258005142]
+Labels: ['Cancer']
+Scores: [0.0005096803070046008]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0033278767950832844]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9890702962875366]
+Labels: ['Mental Health']
+Scores: [0.0017717712325975299]
+Labels: ['Diabetes type 1']
+Scores: [0.0061272825114429]
+Labels: ['Diabetes type 2']
+Scores: [0.05499817430973053]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715781
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Prospective Studies', 'Risk Factors', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Fatty Liver', 'Cause of Death', 'Metabolic Diseases', 'Nutrition Surveys']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2236134558916092]
+Labels: ['Diabetes']
+Scores: [0.035409532487392426]
+Labels: ['Cancer']
+Scores: [0.2729433476924896]
+Labels: ['Chronic respiratory disease']
+Scores: [0.037799905985593796]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9236263036727905]
+Labels: ['Mental Health']
+Scores: [0.03948007524013519]
+Labels: ['Diabetes type 1']
+Scores: [0.06447873264551163]
+Labels: ['Diabetes type 2']
+Scores: [0.06796195358037949]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715477
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Aged', 'Ischemic Attack, Transient', 'Middle Aged', 'Cardiovascular Diseases', 'Netherlands', 'Cohort Studies', 'Risk Factors', 'Aged, 80 and over', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0035928606521338224]
+Labels: ['Diabetes']
+Scores: [0.0006711523164995015]
+Labels: ['Cancer']
+Scores: [0.00029996121884323657]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008267445373348892]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9476931095123291]
+Labels: ['Mental Health']
+Scores: [0.0007939407951198518]
+Labels: ['Diabetes type 1']
+Scores: [0.0028981554787606]
+Labels: ['Diabetes type 2']
+Scores: [0.0030507685150951147]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10828419774770737]
+Labels: ['Diabetes']
+Scores: [0.7397740483283997]
+Labels: ['Cancer']
+Scores: [0.007909920066595078]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03755166009068489]
+Labels: ['Cardiovascular diseases']
+Scores: [0.455304890871048]
+Labels: ['Mental Health']
+Scores: [0.012686039321124554]
+Labels: ['Diabetes type 1']
+Scores: [0.49847322702407837]
+Labels: ['Diabetes type 2']
+Scores: [0.3916683793067932]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39714500
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Hyperkalemia', 'Potassium', 'Risk Factors', 'Cardiovascular Diseases', 'Electrocardiography']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01282447949051857]
+Labels: ['Diabetes']
+Scores: [0.005354952998459339]
+Labels: ['Cancer']
+Scores: [0.0033656423911452293]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009085043333470821]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9144871234893799]
+Labels: ['Mental Health']
+Scores: [0.00435552466660738]
+Labels: ['Diabetes type 1']
+Scores: [0.011931435205042362]
+Labels: ['Diabetes type 2']
+Scores: [0.012272372841835022]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714498
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Patient Care Team', 'Chronic Disease', 'Italy', 'Multimorbidity', 'Telemedicine', 'Cardiology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9903390407562256]
+Labels: ['Diabetes']
+Scores: [0.01049067173153162]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.022800559177994728]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9936609268188477]
+Labels: ['Mental Health']
+Scores: [0.003629897255450487]
+Labels: ['Diabetes type 1']
+Scores: [0.04560023546218872]
+Labels: ['Diabetes type 2']
+Scores: [0.0633045956492424]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Cardiovascular diseases']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714021
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Exercise', 'Life Style', 'Metabolic Syndrome', 'Primary Health Care', 'Risk Factors', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04881555214524269]
+Labels: ['Diabetes']
+Scores: [0.3398789167404175]
+Labels: ['Cancer']
+Scores: [0.002245516749098897]
+Labels: ['Chronic respiratory disease']
+Scores: [0.012153726071119308]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8184559345245361]
+Labels: ['Mental Health']
+Scores: [0.0016223298152908683]
+Labels: ['Diabetes type 1']
+Scores: [0.14270778000354767]
+Labels: ['Diabetes type 2']
+Scores: [0.2200993299484253]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713140
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neoplasms', 'Lipid Peroxidation', 'Reperfusion Injury', 'Cardiovascular Diseases', 'Inflammatory Bowel Diseases', 'Alzheimer Disease', 'Iron', 'Acute Kidney Injury', 'Stroke', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2031393200159073]
+Labels: ['Diabetes']
+Scores: [0.08252906799316406]
+Labels: ['Cancer']
+Scores: [0.3232076168060303]
+Labels: ['Chronic respiratory disease']
+Scores: [0.034286998212337494]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5499913096427917]
+Labels: ['Mental Health']
+Scores: [0.0316910445690155]
+Labels: ['Diabetes type 1']
+Scores: [0.11104825139045715]
+Labels: ['Diabetes type 2']
+Scores: [0.1034962609410286]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39712314
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Incidence', 'Microclimate', 'China', 'Cerebrovascular Disorders', 'Meteorological Concepts', 'Temperature', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003758824896067381]
+Labels: ['Diabetes']
+Scores: [0.0009741017129272223]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0016823512269183993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9915009140968323]
+Labels: ['Mental Health']
+Scores: [0.00037850230000913143]
+Labels: ['Diabetes type 1']
+Scores: [0.007364524994045496]
+Labels: ['Diabetes type 2']
+Scores: [0.006004342343658209]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711839
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'South Africa', 'Tertiary Care Centers', 'Retrospective Studies', 'Adult', 'Male', 'Middle Aged', 'Magnetic Resonance Imaging', 'Young Adult', 'Aged', 'Cardiovascular Diseases', 'Adolescent', 'Hospitals, Public', 'Contrast Media', 'Aged, 80 and over', 'Heart Diseases', 'Child', 'Child, Preschool', 'Medical Audit']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008340070955455303]
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+Labels: ['Cancer']
+Scores: [0.0018781890394166112]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009127779048867524]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9934303760528564]
+Labels: ['Mental Health']
+Scores: [0.00035035383189097047]
+Labels: ['Diabetes type 1']
+Scores: [0.005392059683799744]
+Labels: ['Diabetes type 2']
+Scores: [0.005181062966585159]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710789
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Neovascularization, Pathologic', 'Neoplasms', 'Inflammation', 'Cardiovascular Diseases', 'Animals', 'Neurodegenerative Diseases', 'Angiogenesis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11781799793243408]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
+Scores: [0.8804446458816528]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1463191658258438]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9947184324264526]
+Labels: ['Mental Health']
+Scores: [0.1028740331530571]
+Labels: ['Diabetes type 1']
+Scores: [0.445858895778656]
+Labels: ['Diabetes type 2']
+Scores: [0.44413241744041443]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer', 'Cardiovascular diseases']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710702
+Predictions: ['Cancer', 'Cardiovascular diseases']
+MeshTerm: ['Ferroptosis', 'Humans', 'Neurodegenerative Diseases', 'Cardiovascular Diseases', 'Neoplasms', 'Animals', 'Molecular Targeted Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08445793390274048]
+Labels: ['Diabetes']
+Scores: [0.010653449222445488]
+Labels: ['Cancer']
+Scores: [0.611906886100769]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01822957582771778]
+Labels: ['Cardiovascular diseases']
+Scores: [0.966907262802124]
+Labels: ['Mental Health']
+Scores: [0.0133877107873559]
+Labels: ['Diabetes type 1']
+Scores: [0.020923951640725136]
+Labels: ['Diabetes type 2']
+Scores: [0.017308633774518967]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710576
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Middle Aged', 'Adult', 'Cross-Over Studies', 'Inflammation', 'Endotoxemia', 'Cardiovascular Diseases', 'Cardiometabolic Risk Factors', 'Diet', 'Polyphenols', 'Edible Grain', 'Feces', 'Bacteria', 'Fatty Acids, Omega-3', 'Dietary Fiber', 'Intestines']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.28954675793647766]
+Labels: ['Diabetes']
+Scores: [0.16461880505084991]
+Labels: ['Cancer']
+Scores: [0.029027696698904037]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05794896185398102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9318762421607971]
+Labels: ['Mental Health']
+Scores: [0.08348313719034195]
+Labels: ['Diabetes type 1']
+Scores: [0.15075449645519257]
+Labels: ['Diabetes type 2']
+Scores: [0.17630019783973694]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710465
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Hypersensitivity', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0871494710445404]
+Labels: ['Diabetes']
+Scores: [0.013903230428695679]
+Labels: ['Cancer']
+Scores: [0.010614433325827122]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1020129844546318]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9887639284133911]
+Labels: ['Mental Health']
+Scores: [0.020906513556838036]
+Labels: ['Diabetes type 1']
+Scores: [0.027379481121897697]
+Labels: ['Diabetes type 2']
+Scores: [0.026017745956778526]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709856
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'China', 'Middle Aged', 'Ambulances', 'Aged', 'Adult', 'Emergency Medical Dispatch', 'Temperature', 'Incidence', 'Adolescent', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014729241374880075]
+Labels: ['Diabetes']
+Scores: [0.0007428742828778923]
+Labels: ['Cancer']
+Scores: [0.0007381332106888294]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008848389843478799]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9901931285858154]
+Labels: ['Mental Health']
+Scores: [0.0005583812016993761]
+Labels: ['Diabetes type 1']
+Scores: [0.005326641257852316]
+Labels: ['Diabetes type 2']
+Scores: [0.003800626378506422]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030544836074113846]
+Labels: ['Diabetes']
+Scores: [0.6482610106468201]
+Labels: ['Cancer']
+Scores: [0.9775557518005371]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00142255041282624]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9915784597396851]
+Labels: ['Mental Health']
+Scores: [0.0007737441337667406]
+Labels: ['Diabetes type 1']
+Scores: [0.783452033996582]
+Labels: ['Diabetes type 2']
+Scores: [0.7890294194221497]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709650
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Energy Metabolism', 'Lipid Metabolism', 'Signal Transduction', 'Stearic Acids', 'Stearoyl-CoA Desaturase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1127350777387619]
+Labels: ['Diabetes']
+Scores: [0.19199924170970917]
+Labels: ['Cancer']
+Scores: [0.039208780974149704]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09336681663990021]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6037280559539795]
+Labels: ['Mental Health']
+Scores: [0.03921835497021675]
+Labels: ['Diabetes type 1']
+Scores: [0.1606544703245163]
+Labels: ['Diabetes type 2']
+Scores: [0.16091011464595795]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709627
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Drug Therapy, Combination', 'Hyperlipidemias', 'Hypolipidemic Agents', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors', 'Cardiovascular Diseases', 'Cholesterol, LDL', 'Animals', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.033668335527181625]
+Labels: ['Diabetes']
+Scores: [0.004189261235296726]
+Labels: ['Cancer']
+Scores: [0.0009588748798705637]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007465315982699394]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5838054418563843]
+Labels: ['Mental Health']
+Scores: [0.0020140812266618013]
+Labels: ['Diabetes type 1']
+Scores: [0.0103682279586792]
+Labels: ['Diabetes type 2']
+Scores: [0.013210564851760864]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709554
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Feces', 'Gastrointestinal Microbiome', 'Male', 'Female', 'Proteomics', 'Middle Aged', 'Heart Failure', 'Cardiovascular Diseases', 'Aged', 'Adult', 'Proteome', 'Bacteria', 'Risk Factors', 'Diet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09875143319368362]
+Labels: ['Diabetes']
+Scores: [0.0233453381806612]
+Labels: ['Cancer']
+Scores: [0.011793367564678192]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06637880206108093]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9737910628318787]
+Labels: ['Mental Health']
+Scores: [0.01573028229176998]
+Labels: ['Diabetes type 1']
+Scores: [0.04841228947043419]
+Labels: ['Diabetes type 2']
+Scores: [0.05191667377948761]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11186425387859344]
+Labels: ['Diabetes']
+Scores: [0.9336065649986267]
+Labels: ['Cancer']
+Scores: [0.016043027862906456]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0646895244717598]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9889672994613647]
+Labels: ['Mental Health']
+Scores: [0.028005879372358322]
+Labels: ['Diabetes type 1']
+Scores: [0.9716184735298157]
+Labels: ['Diabetes type 2']
+Scores: [0.015272608958184719]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00047052616719156504]
+Labels: ['Diabetes']
+Scores: [0.8286210298538208]
+Labels: ['Cancer']
+Scores: [0.00047705776523798704]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00035609121550805867]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9850797653198242]
+Labels: ['Mental Health']
+Scores: [0.0003136867599096149]
+Labels: ['Diabetes type 1']
+Scores: [0.0006330362521111965]
+Labels: ['Diabetes type 2']
+Scores: [0.9848480224609375]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709369
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Asthma', 'Male', 'Female', 'Adult', 'Middle Aged', 'Nutrition Surveys', 'Inflammation', 'Cause of Death', 'Cardiovascular Diseases', 'Aged', 'United States', 'Proportional Hazards Models', 'Kaplan-Meier Estimate', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014897066866979003]
+Labels: ['Diabetes']
+Scores: [0.00012605961819645017]
+Labels: ['Cancer']
+Scores: [0.00013702985597774386]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9468778967857361]
+Labels: ['Cardiovascular diseases']
+Scores: [7.549471774837002e-05]
+Labels: ['Mental Health']
+Scores: [8.312209683936089e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.0003173036966472864]
+Labels: ['Diabetes type 2']
+Scores: [0.000353405688656494]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709364
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'Postoperative Complications', 'Cardiovascular Diseases', 'Abdomen', 'Risk Assessment', 'Nomograms', 'Retrospective Studies', 'Aged, 80 and over', 'Risk Factors', 'Predictive Value of Tests', 'ROC Curve', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001212805393151939]
+Labels: ['Diabetes']
+Scores: [0.00010560535156400874]
+Labels: ['Cancer']
+Scores: [0.00017712758562993258]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00015249820717144758]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2531917691230774]
+Labels: ['Mental Health']
+Scores: [9.693500760477036e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.000342501763952896]
+Labels: ['Diabetes type 2']
+Scores: [0.0004140987584833056]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709110
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Female', 'Cardiovascular Diseases', 'Middle Aged', 'Insulin Resistance', 'Adult', 'Blood Glucose', 'Nutrition Surveys', 'Sex Factors', 'Risk Factors', 'Cause of Death', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001472265343181789]
+Labels: ['Diabetes']
+Scores: [0.8422874808311462]
+Labels: ['Cancer']
+Scores: [0.00016252139175776392]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00046782754361629486]
+Labels: ['Cardiovascular diseases']
+Scores: [0.035701628774404526]
+Labels: ['Mental Health']
+Scores: [0.00025762265431694686]
+Labels: ['Diabetes type 1']
+Scores: [0.021616263315081596]
+Labels: ['Diabetes type 2']
+Scores: [0.024169282987713814]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003822504309937358]
+Labels: ['Diabetes']
+Scores: [0.01914801076054573]
+Labels: ['Cancer']
+Scores: [0.0010379914892837405]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006922256201505661]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9736167192459106]
+Labels: ['Mental Health']
+Scores: [0.00026002840604633093]
+Labels: ['Diabetes type 1']
+Scores: [0.03518396615982056]
+Labels: ['Diabetes type 2']
+Scores: [0.05368475988507271]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708590
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Female', 'Sleep Apnea, Obstructive', 'Cardiovascular Diseases', 'Quality of Life', 'Heart Disease Risk Factors', 'Sex Factors', 'Risk Factors', 'Prevalence', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18578986823558807]
+Labels: ['Diabetes']
+Scores: [0.007215866353362799]
+Labels: ['Cancer']
+Scores: [0.0018581299809738994]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2507629096508026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.784344494342804]
+Labels: ['Mental Health']
+Scores: [0.01724562607705593]
+Labels: ['Diabetes type 1']
+Scores: [0.01221295353025198]
+Labels: ['Diabetes type 2']
+Scores: [0.01607487164437771]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708140
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Male', 'Cross-Sectional Studies', 'Female', 'Osteoarthritis', 'Middle Aged', 'Aged', 'Heart Disease Risk Factors', 'Prevalence', 'Hand Joints', 'Comorbidity', 'Cardiovascular Diseases', 'Hand Strength', 'Quality of Life', 'Risk Factors', 'Hydroxymethylglutaryl-CoA Reductase Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01684449054300785]
+Labels: ['Diabetes']
+Scores: [0.0025363508611917496]
+Labels: ['Cancer']
+Scores: [0.001164162065833807]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009649330750107765]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5493702292442322]
+Labels: ['Mental Health']
+Scores: [0.0013469510013237596]
+Labels: ['Diabetes type 1']
+Scores: [0.008893013000488281]
+Labels: ['Diabetes type 2']
+Scores: [0.010292246006429195]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707266
+Predictions: ['Cardiovascular diseases']
+MeshTerm: ['Humans', 'Pulmonary Disease, Chronic Obstructive', 'Vascular Stiffness', 'Breathing Exercises', 'Randomized Controlled Trials as Topic', 'Pulse Wave Analysis', 'Resistance Training', 'Cardiovascular Diseases', 'Exercise', 'Quality of Life', 'Respiratory Muscles', 'Aged', 'Ankle Brachial Index', 'Male', 'Exercise Therapy', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000920733786188066]
+Labels: ['Diabetes']
+Scores: [0.00024027861945796758]
+Labels: ['Cancer']
+Scores: [0.0003152184362988919]
+Labels: ['Chronic respiratory disease']
+Scores: [0.9916313290596008]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3909827172756195]
+Labels: ['Mental Health']
+Scores: [0.00022120747598819435]
+Labels: ['Diabetes type 1']
+Scores: [0.000588190567214042]
+Labels: ['Diabetes type 2']
+Scores: [0.000603528053034097]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738254
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Students', 'Female', 'Exercise', 'Universities', 'China', 'Mental Health', 'Young Adult', 'Depression', 'Cross-Sectional Studies', 'Anxiety', 'Sleep', 'Surveys and Questionnaires', 'Adult', 'Adolescent', 'Sleep Quality', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08537374436855316]
+Labels: ['Diabetes']
+Scores: [0.007758459076285362]
+Labels: ['Cancer']
+Scores: [0.0063491687178611755]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018252041190862656]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0043528275564312935]
+Labels: ['Mental Health']
+Scores: [0.9907239079475403]
+Labels: ['Diabetes type 1']
+Scores: [0.014900933019816875]
+Labels: ['Diabetes type 2']
+Scores: [0.016207734122872353]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737457
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'COVID-19', 'Male', 'Female', 'Students', 'Bullying', 'COVID-19 Vaccines', 'Surveys and Questionnaires', 'Mental Health', 'Vaccination', 'Depression', 'Anxiety', 'SARS-CoV-2', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04493074491620064]
+Labels: ['Diabetes']
+Scores: [0.004068897105753422]
+Labels: ['Cancer']
+Scores: [0.004186084959656]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02152135595679283]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002307550748810172]
+Labels: ['Mental Health']
+Scores: [0.8422043323516846]
+Labels: ['Diabetes type 1']
+Scores: [0.017984330654144287]
+Labels: ['Diabetes type 2']
+Scores: [0.0185993742197752]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735766
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Unemployment', 'Mental Disorders', 'Female', 'Male', 'Adult', 'Middle Aged', 'Global Health', 'Mental Health', 'Young Adult', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004441746044903994]
+Labels: ['Diabetes']
+Scores: [0.004564424976706505]
+Labels: ['Cancer']
+Scores: [0.003508572466671467]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011147388257086277]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015064802719280124]
+Labels: ['Mental Health']
+Scores: [0.9428924918174744]
+Labels: ['Diabetes type 1']
+Scores: [0.025941837579011917]
+Labels: ['Diabetes type 2']
+Scores: [0.023324478417634964]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735765
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Qualitative Research', 'Adolescent', 'Female', 'Health Promotion', 'Male', 'Social Media', 'Social Stigma', 'Health Knowledge, Attitudes, Practice', 'Middle East', 'Mental Health', 'Public Opinion']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17947426438331604]
+Labels: ['Diabetes']
+Scores: [0.06898676604032516]
+Labels: ['Cancer']
+Scores: [0.08425147831439972]
+Labels: ['Chronic respiratory disease']
+Scores: [0.18944725394248962]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05372170731425285]
+Labels: ['Mental Health']
+Scores: [0.9493907690048218]
+Labels: ['Diabetes type 1']
+Scores: [0.17473098635673523]
+Labels: ['Diabetes type 2']
+Scores: [0.16975104808807373]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Aged', 'Rural Population', 'Mental Health', 'Male', 'Female', 'Social Participation', 'Internet Use', 'Surveys and Questionnaires', 'Middle Aged', 'Aged, 80 and over', 'Internet']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017090054228901863]
+Labels: ['Diabetes']
+Scores: [0.0020878638606518507]
+Labels: ['Cancer']
+Scores: [0.0024449771735817194]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00465627945959568]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013707778416574001]
+Labels: ['Mental Health']
+Scores: [0.9881811141967773]
+Labels: ['Diabetes type 1']
+Scores: [0.011318416334688663]
+Labels: ['Diabetes type 2']
+Scores: [0.008119234815239906]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735753
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'China', 'Students', 'Universities', 'Male', 'Female', 'Mental Health', 'Young Adult', 'Adult', 'SARS-CoV-2', 'City Planning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013387607410550117]
+Labels: ['Diabetes']
+Scores: [0.004874724894762039]
+Labels: ['Cancer']
+Scores: [0.0027518984861671925]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01417176891118288]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0026883042883127928]
+Labels: ['Mental Health']
+Scores: [0.06371612101793289]
+Labels: ['Diabetes type 1']
+Scores: [0.009590811096131802]
+Labels: ['Diabetes type 2']
+Scores: [0.01211852952837944]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735752
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Acceptance and Commitment Therapy', 'Female', 'Male', 'Parents', 'Stress, Psychological', 'Adult', 'Child', 'Hong Kong', 'Middle Aged', 'SARS-CoV-2', 'Psychotherapy, Group', 'Pandemics', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025437306612730026]
+Labels: ['Diabetes']
+Scores: [0.005440277513116598]
+Labels: ['Cancer']
+Scores: [0.002573384903371334]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00739815179258585]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006134736817330122]
+Labels: ['Mental Health']
+Scores: [0.21088527143001556]
+Labels: ['Diabetes type 1']
+Scores: [0.0226789191365242]
+Labels: ['Diabetes type 2']
+Scores: [0.02333788201212883]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735743
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Universities', 'Male', 'Female', 'China', 'Students', 'Academic Performance', 'Mental Health', 'Young Adult', 'Depression', 'Anxiety', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01592705212533474]
+Labels: ['Diabetes']
+Scores: [0.008578184992074966]
+Labels: ['Cancer']
+Scores: [0.010964320972561836]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011420832015573978]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003867422230541706]
+Labels: ['Mental Health']
+Scores: [0.9514121413230896]
+Labels: ['Diabetes type 1']
+Scores: [0.03371789678931236]
+Labels: ['Diabetes type 2']
+Scores: [0.02936888299882412]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735742
+Predictions: ['Mental Health']
+MeshTerm: ['Volcanic Eruptions', 'Humans', 'Mental Health', 'Mental Disorders', 'Environmental Exposure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.014333103783428669]
+Labels: ['Diabetes']
+Scores: [0.0010461099445819855]
+Labels: ['Cancer']
+Scores: [0.001888895407319069]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003913980908691883]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007294876268133521]
+Labels: ['Mental Health']
+Scores: [0.981353223323822]
+Labels: ['Diabetes type 1']
+Scores: [0.005663745570927858]
+Labels: ['Diabetes type 2']
+Scores: [0.0047564031556248665]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734104
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Sexual and Gender Minorities', 'Female', 'Schools', 'Bullying', 'Mental Health', 'Crime Victims', 'United States', 'Surveys and Questionnaires', 'Students', 'Peer Group']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018329961225390434]
+Labels: ['Diabetes']
+Scores: [0.030229177325963974]
+Labels: ['Cancer']
+Scores: [0.01441692840307951]
+Labels: ['Chronic respiratory disease']
+Scores: [0.028874609619379044]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011549809016287327]
+Labels: ['Mental Health']
+Scores: [0.8998867869377136]
+Labels: ['Diabetes type 1']
+Scores: [0.08489485085010529]
+Labels: ['Diabetes type 2']
+Scores: [0.07462896406650543]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39734100
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'SARS-CoV-2', 'Adolescent Development', 'Pandemics', 'Peer Group', 'Socioeconomic Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08186281472444534]
+Labels: ['Diabetes']
+Scores: [0.04655304178595543]
+Labels: ['Cancer']
+Scores: [0.05116414278745651]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15354615449905396]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04034562036395073]
+Labels: ['Mental Health']
+Scores: [0.6676076650619507]
+Labels: ['Diabetes type 1']
+Scores: [0.06900830566883087]
+Labels: ['Diabetes type 2']
+Scores: [0.07079628109931946]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732736
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Colombia', 'Students', 'Young Adult', 'Adult', 'Adolescent', 'Psychometrics', 'Personal Satisfaction', 'Universities', 'Procrastination', 'Reproducibility of Results', 'Mental Health', 'Surveys and Questionnaires', 'Factor Analysis, Statistical']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004968913737684488]
+Labels: ['Diabetes']
+Scores: [0.002116574440151453]
+Labels: ['Cancer']
+Scores: [0.009199991822242737]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00220783450640738]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002390241716057062]
+Labels: ['Mental Health']
+Scores: [0.808590292930603]
+Labels: ['Diabetes type 1']
+Scores: [0.00694080488756299]
+Labels: ['Diabetes type 2']
+Scores: [0.00753189530223608]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012584295123815536]
+Labels: ['Diabetes']
+Scores: [0.9266038537025452]
+Labels: ['Cancer']
+Scores: [0.001131367520429194]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021137348376214504]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006639491184614599]
+Labels: ['Mental Health']
+Scores: [0.0006429585628211498]
+Labels: ['Diabetes type 1']
+Scores: [0.9881855845451355]
+Labels: ['Diabetes type 2']
+Scores: [0.0020559022668749094]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731523
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Holistic Health', 'Mental Disorders', 'Health Policy', 'Social Theory', 'Mental Health', 'Health Status Disparities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.011320490390062332]
+Labels: ['Diabetes']
+Scores: [0.005988056771457195]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.006862797774374485]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0030334757175296545]
+Labels: ['Mental Health']
+Scores: [0.9364945292472839]
+Labels: ['Diabetes type 1']
+Scores: [0.013906596228480339]
+Labels: ['Diabetes type 2']
+Scores: [0.014710845425724983]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39731316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Female', 'Male', 'Attention Deficit Disorder with Hyperactivity', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Aged', 'COVID-19', 'Sex Factors', 'Aged, 80 and over', 'Reference Values', 'Brief Psychiatric Rating Scale', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.021175498142838478]
+Labels: ['Diabetes']
+Scores: [0.0014583537122234702]
+Labels: ['Cancer']
+Scores: [0.002716272370889783]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0061666835099458694]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001550146727822721]
+Labels: ['Mental Health']
+Scores: [0.9623033404350281]
+Labels: ['Diabetes type 1']
+Scores: [0.005895662121474743]
+Labels: ['Diabetes type 2']
+Scores: [0.00554795004427433]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730730
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'China', 'Male', 'Mental Health', 'Female', 'Rural Population', 'Sleep', 'Cross-Sectional Studies', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08366083353757858]
+Labels: ['Diabetes']
+Scores: [0.042475540190935135]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.05162939801812172]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01781211607158184]
+Labels: ['Mental Health']
+Scores: [0.9297809600830078]
+Labels: ['Diabetes type 1']
+Scores: [0.06671659648418427]
+Labels: ['Diabetes type 2']
+Scores: [0.060810696333646774]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730531
+Predictions: ['Mental Health']
+MeshTerm: ['Loneliness', 'Humans', 'Exercise', 'Male', 'Female', 'Social Support', 'Students', 'Young Adult', 'Interpersonal Relations', 'Adult', 'Adolescent', 'Universities', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01651843637228012]
+Labels: ['Diabetes']
+Scores: [0.032157789915800095]
+Labels: ['Cancer']
+Scores: [0.02864932268857956]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0698045864701271]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0158612709492445]
+Labels: ['Mental Health']
+Scores: [0.7382943034172058]
+Labels: ['Diabetes type 1']
+Scores: [0.08525657653808594]
+Labels: ['Diabetes type 2']
+Scores: [0.0852656289935112]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730236
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'India', 'Male', 'Adult', 'Female', 'Anxiety', 'Mental Health', 'Middle Aged', 'Disasters', 'Depression', 'Sleep Initiation and Maintenance Disorders', 'Sleep', 'Surveys and Questionnaires', 'Circadian Rhythm']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.049128249287605286]
+Labels: ['Diabetes']
+Scores: [0.013341140933334827]
+Labels: ['Cancer']
+Scores: [0.01100284792482853]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03180910274386406]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014798193238675594]
+Labels: ['Mental Health']
+Scores: [0.9823751449584961]
+Labels: ['Diabetes type 1']
+Scores: [0.018866650760173798]
+Labels: ['Diabetes type 2']
+Scores: [0.02491467446088791]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729870
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'New Zealand', 'Prospective Studies', 'Adult', 'Mental Health', 'Male', 'Female', 'Child', 'Young Adult', 'Infant', 'Child, Preschool', 'Birth Cohort', 'Parks, Recreational', 'Infant, Newborn', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001525783445686102]
+Labels: ['Diabetes']
+Scores: [0.001623279764316976]
+Labels: ['Cancer']
+Scores: [0.000700439908541739]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0027350641321390867]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00033714427263475955]
+Labels: ['Mental Health']
+Scores: [0.990554690361023]
+Labels: ['Diabetes type 1']
+Scores: [0.007351549807935953]
+Labels: ['Diabetes type 2']
+Scores: [0.0064409589394927025]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729805
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Adult', 'Community Pharmacy Services', 'Community-Based Participatory Research', 'Ill-Housed Persons', 'Tobacco Use Cessation', 'Mental Health', 'Substance-Related Disorders', 'Program Evaluation', 'San Francisco', 'Counseling', 'Nicotine Replacement Therapy', 'Mentoring', 'Tobacco Products', 'Tobacco Use', 'Odds Ratio', 'Poisson Distribution', 'Logistic Models', 'Time Factors', 'Diagnosis, Dual (Psychiatry)', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05160926654934883]
+Labels: ['Diabetes']
+Scores: [0.0002969731576740742]
+Labels: ['Cancer']
+Scores: [0.0004795829299837351]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00204638484865427]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002029093011515215]
+Labels: ['Mental Health']
+Scores: [0.7231771349906921]
+Labels: ['Diabetes type 1']
+Scores: [0.001488008419983089]
+Labels: ['Diabetes type 2']
+Scores: [0.001808198168873787]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727705
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Colorectal Neoplasms', 'Middle Aged', 'COVID-19', 'Female', 'Longitudinal Studies', 'Aged', 'Anxiety', 'Prospective Studies', 'SARS-CoV-2', 'Depression', 'Follow-Up Studies', 'Surveys and Questionnaires', 'Mental Health', 'United Kingdom', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03288520500063896]
+Labels: ['Diabetes']
+Scores: [0.004100479185581207]
+Labels: ['Cancer']
+Scores: [0.8690119981765747]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01172463409602642]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004253565799444914]
+Labels: ['Mental Health']
+Scores: [0.6023646593093872]
+Labels: ['Diabetes type 1']
+Scores: [0.007552341092377901]
+Labels: ['Diabetes type 2']
+Scores: [0.00985654629766941]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cancer']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727168
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Denmark', 'Loneliness', 'Female', 'Middle Aged', 'Male', 'Chronic Pain', 'Prevalence', 'Adult', 'Aged', 'Mental Health', 'COVID-19', 'Young Adult', 'Adolescent', 'Aged, 80 and over', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11712192744016647]
+Labels: ['Diabetes']
+Scores: [0.004050044808536768]
+Labels: ['Cancer']
+Scores: [0.0032675338443368673]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0016649954486638308]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017424479592591524]
+Labels: ['Mental Health']
+Scores: [0.9411094784736633]
+Labels: ['Diabetes type 1']
+Scores: [0.008810348808765411]
+Labels: ['Diabetes type 2']
+Scores: [0.008964385837316513]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39727091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Child', 'Mental Health', 'Biomedical Research', 'Delphi Technique', 'Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0007240261184051633]
+Labels: ['Diabetes']
+Scores: [0.00033995654666796327]
+Labels: ['Cancer']
+Scores: [0.0002178723952965811]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00029482526588253677]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001292262168135494]
+Labels: ['Mental Health']
+Scores: [0.996025562286377]
+Labels: ['Diabetes type 1']
+Scores: [0.0013593178009614348]
+Labels: ['Diabetes type 2']
+Scores: [0.0013636399526149035]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726658
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Exercise', 'Self Report', 'Adolescent', 'Students', 'China', 'Child', 'Schools', 'Mental Health', 'Surveys and Questionnaires', 'Health Surveys', 'Sedentary Behavior', 'Depression']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013154683634638786]
+Labels: ['Diabetes']
+Scores: [0.0043338886462152]
+Labels: ['Cancer']
+Scores: [0.003361715003848076]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006322371307760477]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000944867730140686]
+Labels: ['Mental Health']
+Scores: [0.911533534526825]
+Labels: ['Diabetes type 1']
+Scores: [0.008876188658177853]
+Labels: ['Diabetes type 2']
+Scores: [0.008912434801459312]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39726069
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Substance-Related Disorders', 'Middle Aged', 'Heart Transplantation', 'Heart-Assist Devices', 'Adult', 'Databases, Factual', 'Incidence', 'Mental Health', 'Quality of Life', 'Aged', 'Mental Disorders', 'Waiting Lists', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09554962813854218]
+Labels: ['Diabetes']
+Scores: [0.031401071697473526]
+Labels: ['Cancer']
+Scores: [0.0160602368414402]
+Labels: ['Chronic respiratory disease']
+Scores: [0.2048022300004959]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7697659134864807]
+Labels: ['Mental Health']
+Scores: [0.9490360617637634]
+Labels: ['Diabetes type 1']
+Scores: [0.0663403570652008]
+Labels: ['Diabetes type 2']
+Scores: [0.0646066665649414]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725888
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Pregnancy', 'Adult', 'Cross-Sectional Studies', 'Pregnancy, Unplanned', 'Parents', 'Mental Health', 'Reproductive Techniques, Assisted', 'Young Adult', 'Stress, Psychological', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02707275189459324]
+Labels: ['Diabetes']
+Scores: [0.002608472015708685]
+Labels: ['Cancer']
+Scores: [0.003211068920791149]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02238977886736393]
+Labels: ['Cardiovascular diseases']
+Scores: [0.030639661476016045]
+Labels: ['Mental Health']
+Scores: [0.8900302052497864]
+Labels: ['Diabetes type 1']
+Scores: [0.007730304263532162]
+Labels: ['Diabetes type 2']
+Scores: [0.009694851003587246]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39725758
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Adolescent', 'Mental Health', 'Pandemics', 'SARS-CoV-2', 'Japan', 'Male', 'Suicide', 'Female', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001207510125823319]
+Labels: ['Diabetes']
+Scores: [0.0019924473017454147]
+Labels: ['Cancer']
+Scores: [0.0008037990774028003]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002528928220272064]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00029466344858519733]
+Labels: ['Mental Health']
+Scores: [0.9421305656433105]
+Labels: ['Diabetes type 1']
+Scores: [0.004710948560386896]
+Labels: ['Diabetes type 2']
+Scores: [0.004185525234788656]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724226
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Germany', 'Cross-Sectional Studies', 'Mental Health', 'Adult', 'Surveys and Questionnaires', 'Young Adult', 'Stress, Psychological', 'Students', 'Occupational Stress', 'Universities']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0031352860387414694]
+Labels: ['Diabetes']
+Scores: [0.006198722869157791]
+Labels: ['Cancer']
+Scores: [0.002349232789129019]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004608814138919115]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010980198858305812]
+Labels: ['Mental Health']
+Scores: [0.9709550738334656]
+Labels: ['Diabetes type 1']
+Scores: [0.012595144100487232]
+Labels: ['Diabetes type 2']
+Scores: [0.013408517464995384]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724125
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Stress Disorders, Post-Traumatic', 'Survivors', 'Middle Aged', 'Adult', 'Anxiety', 'Risk Factors', 'Depression', 'Prevalence', 'Aged', 'Comorbidity', 'Sex Factors', 'Sleep Initiation and Maintenance Disorders', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09445108473300934]
+Labels: ['Diabetes']
+Scores: [0.050861649215221405]
+Labels: ['Cancer']
+Scores: [0.03385321423411369]
+Labels: ['Chronic respiratory disease']
+Scores: [0.10325583815574646]
+Labels: ['Cardiovascular diseases']
+Scores: [0.027600731700658798]
+Labels: ['Mental Health']
+Scores: [0.9920487403869629]
+Labels: ['Diabetes type 1']
+Scores: [0.0763017013669014]
+Labels: ['Diabetes type 2']
+Scores: [0.08817105740308762]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724115
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Empathy', 'Global Health', 'Mental Health', 'Existentialism', 'Warfare']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025367751717567444]
+Labels: ['Diabetes']
+Scores: [0.041541703045368195]
+Labels: ['Cancer']
+Scores: [0.04240035638213158]
+Labels: ['Chronic respiratory disease']
+Scores: [0.055867962539196014]
+Labels: ['Cardiovascular diseases']
+Scores: [0.025292104110121727]
+Labels: ['Mental Health']
+Scores: [0.974897563457489]
+Labels: ['Diabetes type 1']
+Scores: [0.09562218189239502]
+Labels: ['Diabetes type 2']
+Scores: [0.09404956549406052]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724057
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Female', 'Humans', 'Male', 'Young Adult', 'COVID-19', 'Depression', 'East Asian People', 'Mental Health', 'Pandemics', 'Republic of Korea', 'Social Media']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13012081384658813]
+Labels: ['Diabetes']
+Scores: [0.015025367960333824]
+Labels: ['Cancer']
+Scores: [0.011518577113747597]
+Labels: ['Chronic respiratory disease']
+Scores: [0.16536922752857208]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01655176468193531]
+Labels: ['Mental Health']
+Scores: [0.7141847014427185]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.048933353275060654]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722713
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Child, Preschool', 'Cross-Sectional Studies', 'China', 'Screen Time', 'Surveys and Questionnaires', 'Mental Health', 'Parents', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001015440677292645]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0005501623381860554]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019591624732129276]
+Labels: ['Mental Health']
+Scores: [0.5322952270507812]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.002428075298666954]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39722022
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Loneliness', 'Adolescent', 'Male', 'Female', 'Cross-Sectional Studies', 'Urban Population', 'Young Adult', 'Adult', 'Mental Health', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0029260411392897367]
+Labels: ['Diabetes']
+Scores: [0.0024610029067844152]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0013958417112007737]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006660073413513601]
+Labels: ['Mental Health']
+Scores: [0.9296408295631409]
+Labels: ['Diabetes type 1']
+Scores: [0.011716741137206554]
+Labels: ['Diabetes type 2']
+Scores: [0.011260190047323704]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720811
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Mental Health', 'China', 'Middle Aged', 'Adult', 'Emotions', 'Surveys and Questionnaires', 'Aged', 'Adolescent', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0011531772324815392]
+Labels: ['Diabetes']
+Scores: [0.0017652437090873718]
+Labels: ['Cancer']
+Scores: [0.0024986518546938896]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0023103582207113504]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
+Scores: [0.9724286794662476]
+Labels: ['Diabetes type 1']
+Scores: [0.006194785237312317]
+Labels: ['Diabetes type 2']
+Scores: [0.005630167201161385]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719817
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Hospitals, General', 'Psychiatry', 'Mental Health Services', 'Japan', 'Psychiatric Department, Hospital', 'Referral and Consultation', 'Mental Disorders', 'Surveys and Questionnaires', 'Mental Health', 'Psychiatrists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0341140478849411]
+Labels: ['Diabetes']
+Scores: [0.03514188528060913]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.10306490957736969]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02240237034857273]
+Labels: ['Mental Health']
+Scores: [0.7963621616363525]
+Labels: ['Diabetes type 1']
+Scores: [0.05144163593649864]
+Labels: ['Diabetes type 2']
+Scores: [0.05332278460264206]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719755
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Humans', 'Ozone', 'Mental Health', 'Nitrogen Dioxide', 'Male', 'Female', 'Child', 'China', 'Air Pollutants', 'Environmental Exposure', 'Schools', 'Cross-Sectional Studies', 'Air Pollution', 'Students']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0023501692339777946]
+Labels: ['Diabetes']
+Scores: [0.0028933200519531965]
+Labels: ['Cancer']
+Scores: [0.027743469923734665]
+Labels: ['Chronic respiratory disease']
+Scores: [0.19369201362133026]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011055422946810722]
+Labels: ['Mental Health']
+Scores: [0.0017389511922374368]
+Labels: ['Diabetes type 1']
+Scores: [0.006070130504667759]
+Labels: ['Diabetes type 2']
+Scores: [0.00679089967161417]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719653
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Capital', 'Students', 'Social Media', 'Japan', 'Universities', 'Male', 'Female', 'Young Adult', 'Mental Health', 'Adult', 'Loneliness', 'Health Status', 'Personality', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001937544671818614]
+Labels: ['Diabetes']
+Scores: [0.0019757167901843786]
+Labels: ['Cancer']
+Scores: [0.0011120984563603997]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014661187306046486]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00036403496051207185]
+Labels: ['Mental Health']
+Scores: [0.653235137462616]
+Labels: ['Diabetes type 1']
+Scores: [0.004201890900731087]
+Labels: ['Diabetes type 2']
+Scores: [0.004519656300544739]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716066
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Quality of Life', 'Pakistan', 'Myocardial Infarction', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Health Status', 'Risk Factors', 'Mental Health', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001659431029111147]
+Labels: ['Diabetes']
+Scores: [0.0016241701086983085]
+Labels: ['Cancer']
+Scores: [0.0003699297085404396]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005951178027316928]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9840397834777832]
+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.0026265534106642008]
+Labels: ['Diabetes type 2']
+Scores: [0.0023759412579238415]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715637
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Biomedical Research', 'Circadian Rhythm', 'Information Dissemination', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0510559119284153]
+Labels: ['Diabetes']
+Scores: [0.037009261548519135]
+Labels: ['Cancer']
+Scores: [0.019497985020279884]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06593386083841324]
+Labels: ['Cardiovascular diseases']
+Scores: [0.025465751066803932]
+Labels: ['Mental Health']
+Scores: [0.988817572593689]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.12168599665164948]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715235
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Colombia', 'Emigrants and Immigrants', 'Venezuela', 'Female', 'Male', 'United States', 'Child', 'Adult', 'Child Welfare', 'Parents', 'Stress, Psychological', 'Surveys and Questionnaires', 'Adolescent', 'Middle Aged', 'Mental Health', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0802612453699112]
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+Scores: [0.08994516730308533]
+Labels: ['Cancer']
+Scores: [0.08446598798036575]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06929530948400497]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.20670285820960999]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Ukraine', 'Mental Health Services', 'Health Services Accessibility', 'Pandemics', 'Quality of Health Care', 'SARS-CoV-2', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009236207231879234]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.09732325375080109]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.006582691799849272]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39714844
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Aged', 'England', 'Middle Aged', 'Longitudinal Studies', 'Personal Satisfaction', 'Cohort Studies', 'Depression', 'Mental Health', 'Health Status', 'Social Support', 'Health Behavior', 'Cluster Analysis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01564181037247181]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Scores: [0.017602290958166122]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.029985282570123672]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39713741
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Substance-Related Disorders', 'Social Stigma', 'Sexism', 'Mental Health', 'Racism', 'Mental Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030280789360404015]
+Labels: ['Diabetes']
+Scores: [0.011829347349703312]
+Labels: ['Cancer']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.031394679099321365]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712316
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aged', 'Female', 'Male', 'China', 'Mental Health', 'Internet Use', 'Middle Aged', 'Residence Characteristics', 'Aged, 80 and over', 'Independent Living', 'Surveys and Questionnaires', 'Internet', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.019316349178552628]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39712299
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'China', 'Mental Health', 'Aged', 'Social Environment', 'Female', 'Male', 'Middle Aged', 'Residence Characteristics', 'Surveys and Questionnaires', 'Neighborhood Characteristics', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.055042997002601624]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711409
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Pilots', 'Aerospace Medicine', 'Mental Health', 'United States']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06709999591112137]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711341
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Aerospace Medicine', 'Mental Health', 'Delphi Technique', 'Aviation', 'Research', 'Societies, Medical', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04289804399013519]
+Labels: ['Diabetes']
+Scores: [0.013461136259138584]
+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39711028
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Refugees', 'Syria', 'Psychological Distress', 'Female', 'Jordan', 'Male', 'Follow-Up Studies', 'Child', 'Single-Blind Method', 'Stress Disorders, Post-Traumatic', 'Depression', 'Stress, Psychological', 'Behavior Therapy', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710807
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Cross-Sectional Studies', 'Female', 'Adult', 'Male', 'Workplace Violence', 'Burnout, Professional', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Nursing Staff, Hospital', 'Taiwan']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710755
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Quality of Life', 'Romania', 'Male', 'Female', 'Prospective Studies', 'Tuberculosis, Multidrug-Resistant', 'Middle Aged', 'Adult', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Surveys and Questionnaires', 'Aged', 'Cohort Studies', 'Longitudinal Studies', 'Psychological Well-Being']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710684
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Ontario', 'Pregnancy', 'Retrospective Studies', 'Adult', 'Social Class', 'Pregnancy Complications', 'Anxiety', 'Depression', 'Young Adult', 'Residence Characteristics', 'Mental Health', 'Cohort Studies', 'Educational Status', 'Mental Disorders', 'Income']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710634
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'United Kingdom', 'Adult', 'Cross-Sectional Studies', 'Mental Health', 'Domestic Violence', 'Middle Aged', 'Social Support', 'Resilience, Psychological', 'Pandemics', 'Young Adult', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.001502055092714727]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710627
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Literacy', 'Adolescent', 'Anxiety', 'Depression', 'Mental Health', 'Health Education']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06569109112024307]
+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
+Scores: [0.7802229523658752]
+Labels: ['Diabetes type 1']
+Scores: [0.05007585883140564]
+Labels: ['Diabetes type 2']
+Scores: [0.04946433752775192]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710497
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'China', 'Aged', 'Risk Factors', 'Middle Aged', 'Depression', 'Longitudinal Studies', 'Health Status', 'Mental Health', 'Aged, 80 and over', 'Rural Population', 'Logistic Models']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0016533276066184044]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
+Scores: [0.0022402347531169653]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
+Scores: [0.006329634226858616]
+Labels: ['Diabetes type 2']
+Scores: [0.004743402358144522]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710338
+Predictions: ['Cancer', 'Mental Health']
+MeshTerm: ['Humans', 'Cancer Survivors', 'Adolescent', 'Young Adult', 'Female', 'Male', 'Internet-Based Intervention', 'Mindfulness', 'Adult', 'Emotional Regulation', 'Quality of Life', 'Mental Health', 'Depression', 'Neoplasms', 'Research Design', 'Adaptation, Psychological', 'Digital Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.046120785176754]
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.03599991276860237]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709458
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Child', 'Humans', 'Adaptation, Psychological', 'Child Behavior', 'Mental Disorders', 'Mental Health', 'Multicenter Studies as Topic', 'Norway', 'Parents', 'Pragmatic Clinical Trials as Topic']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.0017145035089924932]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709340
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Mental Health', 'Research Design', 'Outcome Assessment, Health Care', 'Mental Disorders', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0003345185541547835]
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+Labels: ['Cancer']
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+Scores: [0.00010314612882211804]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709337
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sufentanil', 'Male', 'Cough', 'Female', 'Ketamine', 'Middle Aged', 'Prospective Studies', 'Adult', 'Anesthesia, General', 'Anesthetics, Intravenous', 'Mental Health', 'Double-Blind Method']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Scores: [0.000778135668952018]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709183
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Health Promotion']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709182
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'United States', "Women's Health", 'Racial Groups', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39708948
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Asthma', 'Metals, Heavy', 'Male', 'Adult', 'Female', 'Middle Aged', 'Cross-Sectional Studies', 'Republic of Korea', 'Mental Health', 'Suicidal Ideation', 'Environmental Exposure', 'Air Pollutants', 'Young Adult', 'Depression', 'Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39707472
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'General Practitioners', 'Self Care', 'Cross-Sectional Studies', 'Male', 'Female', 'Adult', 'Middle Aged', 'Burnout, Professional', 'Surveys and Questionnaires', 'Mental Health', 'Anxiety', 'SARS-CoV-2', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706574
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Mental Health', "Women's Health", 'Pregnancy', 'Perinatal Care', 'Adult']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706486
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Binge Drinking', 'Male', 'Middle Aged', 'Spain', 'Longitudinal Studies', 'Health Behavior', 'Mental Health', 'Health Status', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.045021653175354004]
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706485
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Social Support', 'Male', 'Female', 'Longitudinal Studies', 'Adult', 'Stress, Psychological', 'Middle Aged', 'Depressive Disorder, Major', 'Mental Health', 'Social Class', 'Socioeconomic Factors', 'Young Adult', 'Aged', 'Risk Factors', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39706484
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Ukraine', 'Armed Conflicts', 'Refugees']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39705174
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Adult', 'Humans', 'Male', 'Young Adult', 'Adaptation, Psychological', 'Black or African American', 'HIV Infections', 'Interviews as Topic', 'Mental Health', 'Qualitative Research', 'Sexual and Gender Minorities', 'Social Stigma']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39704003
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mental Disorders', 'Mental Health', 'Diagnostic and Statistical Manual of Mental Disorders', 'International Classification of Diseases']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703482
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Adolescent', 'Mental Health', 'Reproductive Health', 'Sexual Behavior', 'Sexual Health', 'Menstruation', 'Health Knowledge, Attitudes, Practice']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010852302424609661]
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39703180
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Qualitative Research', 'Male', 'Female', 'Pharmacists', 'Adult', 'England', 'Middle Aged', 'Focus Groups', 'Mental Health', 'Community Pharmacy Services', 'Depression', 'Interviews as Topic', 'Professional Role', 'Anxiety']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Diabetes type 2']
+Scores: [0.10092109441757202]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39702091
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Lebanon', 'Primary Health Care', 'Social Stigma', 'Qualitative Research', 'Mental Disorders', 'Male', 'Female', 'Attitude of Health Personnel', 'Health Personnel', 'Adult', 'Interviews as Topic', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.008442731574177742]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39701588
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'COVID-19', 'Mental Health', 'Female', 'Male', 'Mental Health Services', 'United States', 'Child', 'Emotions', 'Telemedicine', 'Social Skills', 'School Mental Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0011080820113420486]
+Labels: ['Diabetes']
+Scores: [0.002284194342792034]
+Labels: ['Cancer']
+Scores: [0.0010882668429985642]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00028648829902522266]
+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.00864833127707243]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Machine Learning', 'Mental Health', 'Adult', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03274525701999664]
+Labels: ['Diabetes']
+Scores: [0.040901068598032]
+Labels: ['Cancer']
+Scores: [0.031155891716480255]
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Labels: ['Diabetes type 2']
+Scores: [0.12637893855571747]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39700155
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Female', 'Male', 'Mental Health', 'United Kingdom', 'Adolescent', 'Young Adult', 'Loneliness', 'Adult', 'Sex Factors', 'Pandemics', 'SARS-CoV-2', 'Longitudinal Studies', 'Aged', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Chronic respiratory disease']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699982
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Italy', 'Prospective Studies', 'COVID-19', 'Internship and Residency', 'Male', 'Female', 'Adult', 'Depression', 'Anxiety', 'Mental Health', 'Stress Disorders, Post-Traumatic', 'Pandemics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.007643362041562796]
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+Scores: [0.2289874106645584]
+Labels: ['Cardiovascular diseases']
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+Scores: [0.03694400191307068]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699544
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Absenteeism', 'Male', 'Female', 'Chikungunya Fever', 'Arthralgia', 'Middle Aged', 'Adult', 'Chronic Disease', 'Mental Health', 'Cross-Sectional Studies', 'Depression', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Chronic respiratory disease', 'Mental Health']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699441
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Brazil', 'Transgender Persons', 'Health Services Accessibility', 'Male', 'Female', 'Primary Health Care', 'National Health Programs', 'Interviews as Topic', 'Health Personnel', 'Health Services for Transgender Persons', 'Qualitative Research', 'Adult', 'Health Policy', 'Mental Health', 'Transsexualism', 'Young Adult', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cancer']
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+Labels: ['Diabetes type 2']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39699366
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Mental Health', 'Health Promotion', 'Occupational Health', 'Guidelines as Topic']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697298
+Predictions: ['Mental Health']
+MeshTerm: ['Adolescent', 'Female', 'Humans', 'Male', 'China', 'COVID-19', 'East Asian People', 'Mental Disorders', 'Mental Health', 'Risk Factors', 'Students', 'Suicidal Ideation', 'Surveys and Questionnaires']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39697006
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Health Services Accessibility', 'Health Literacy', 'Mexico', 'Female', 'Male', 'Adolescent', 'Child', 'Adult', 'Surveys and Questionnaires', 'Parents', 'Mental Health', 'Middle Aged', 'Health Behavior']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Cardiovascular diseases']
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+Labels: ['Mental Health']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696336
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Intimate Partner Violence', 'Female', 'Sex Offenses', 'Canada', 'Male', 'Transgender Persons', 'Surveys and Questionnaires', 'Crime Victims', 'Research', 'Stakeholder Participation', 'Mental Health', 'Health Priorities']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696264
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Female', 'Male', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Ownership', 'Housing', 'Behavioral Risk Factor Surveillance System', 'Aged', 'United States', 'Mental Health', 'Prevalence', 'Depressive Disorder']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696245
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Sudan', 'Cross-Sectional Studies', 'Child', 'Female', 'Adolescent', 'Male', 'Refugees', 'Mental Health', 'Surveys and Questionnaires', 'Stress Disorders, Post-Traumatic']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39696093
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Female', 'Students', 'Universities', 'United Kingdom', 'Young Adult', 'Exercise', 'Cohort Studies', 'Life Style', 'Ethnicity', 'COVID-19', 'Health Behavior', 'Sex Factors', 'Adult', 'Adolescent', 'Body Mass Index', 'Diet', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695709
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Patient Selection', 'Mental Disorders', 'Mental Health', 'Randomized Controlled Trials as Topic']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695633
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Male', 'Adverse Childhood Experiences', 'Female', 'England', 'Adult', 'Middle Aged', 'Adolescent', 'Young Adult', 'Criminal Law', 'Health Status', 'Surveys and Questionnaires', 'Aged', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695572
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Video Games', 'Universities', 'Mental Health', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
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+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695547
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Military Personnel', 'Female', 'Male', 'Cross-Sectional Studies', 'China', 'Adult', 'Stress Disorders, Post-Traumatic', 'COVID-19', 'Sleep Initiation and Maintenance Disorders', 'Prevalence', 'Young Adult', 'Depression', 'Anxiety', 'Mental Health', 'Middle Aged', 'Surveys and Questionnaires', 'Adolescent', 'East Asian People']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Mental Health']
+Scores: [0.9692643880844116]
+Labels: ['Diabetes type 1']
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+Labels: ['Diabetes type 2']
+Scores: [0.009030760265886784]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695533
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Belgium', 'Male', 'Female', 'Multimorbidity', 'Middle Aged', 'Adult', 'Aged', 'Health Surveys', 'Mental Disorders', 'Quality of Life', 'Young Adult', 'Mental Health', 'Adolescent', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
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+Labels: ['Diabetes']
+Scores: [0.016574475914239883]
+Labels: ['Cancer']
+Scores: [0.012892200611531734]
+Labels: ['Chronic respiratory disease']
+Scores: [0.042207419872283936]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011681404896080494]
+Labels: ['Mental Health']
+Scores: [0.9507437944412231]
+Labels: ['Diabetes type 1']
+Scores: [0.018514247611165047]
+Labels: ['Diabetes type 2']
+Scores: [0.026958929374814034]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695518
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Resilience, Psychological', 'Military Personnel', 'Male', 'Social Support', 'Adult', 'Personal Satisfaction', 'Female', 'Mental Health', 'Depression', 'Longitudinal Studies', 'Young Adult', 'Surveys and Questionnaires', 'Cross-Sectional Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010590856894850731]
+Labels: ['Diabetes']
+Scores: [0.0023594917729496956]
+Labels: ['Cancer']
+Scores: [0.008823386393487453]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006611937656998634]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002130478620529175]
+Labels: ['Mental Health']
+Scores: [0.9792174100875854]
+Labels: ['Diabetes type 1']
+Scores: [0.010077901184558868]
+Labels: ['Diabetes type 2']
+Scores: [0.009116419591009617]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39695503
+Predictions: ['Noncommunicable Diseases', 'Mental Health']
+MeshTerm: ['Humans', 'Indonesia', 'Adolescent', 'Male', 'Female', 'Noncommunicable Diseases', 'Cross-Sectional Studies', 'Risk Factors', 'Mental Health', 'Quality of Life', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.9793628454208374]
+Labels: ['Diabetes']
+Scores: [0.06778702139854431]
+Labels: ['Cancer']
+Scores: [0.03388680890202522]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0705532431602478]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023568790405988693]
+Labels: ['Mental Health']
+Scores: [0.93864506483078]
+Labels: ['Diabetes type 1']
+Scores: [0.05790811777114868]
+Labels: ['Diabetes type 2']
+Scores: [0.06999552994966507]
+Wanted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Mental Health']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39695274
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Students', 'Female', 'Male', 'Young Adult', 'Depression', 'Universities', 'China', 'Surveys and Questionnaires', 'Mental Health', 'Adolescent', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05929406359791756]
+Labels: ['Diabetes']
+Scores: [0.031854525208473206]
+Labels: ['Cancer']
+Scores: [0.030684059485793114]
+Labels: ['Chronic respiratory disease']
+Scores: [0.033386219292879105]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018023058772087097]
+Labels: ['Mental Health']
+Scores: [0.9165422320365906]
+Labels: ['Diabetes type 1']
+Scores: [0.06675078719854355]
+Labels: ['Diabetes type 2']
+Scores: [0.0612068735063076]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693620
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mobile Applications', 'Adult', 'Mental Health', 'Health Behavior', 'Life Style', 'Exercise', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02405688166618347]
+Labels: ['Diabetes']
+Scores: [0.026969343423843384]
+Labels: ['Cancer']
+Scores: [0.008325373753905296]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018404943868517876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0035535346250981092]
+Labels: ['Mental Health']
+Scores: [0.991911768913269]
+Labels: ['Diabetes type 1']
+Scores: [0.04928683117032051]
+Labels: ['Diabetes type 2']
+Scores: [0.05434183031320572]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39693599
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'COVID-19', 'Male', 'Female', 'Adult', 'Middle Aged', 'Mental Health', 'Mental Disorders', 'Aged', 'Schizophrenia', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.018134236335754395]
+Labels: ['Diabetes']
+Scores: [0.008483901619911194]
+Labels: ['Cancer']
+Scores: [0.0074586714617908]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025622490793466568]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00340960081666708]
+Labels: ['Mental Health']
+Scores: [0.919968843460083]
+Labels: ['Diabetes type 1']
+Scores: [0.029298054054379463]
+Labels: ['Diabetes type 2']
+Scores: [0.02727719023823738]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691047
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Burnout, Professional', 'Mental Health', 'Organizational Culture', 'Leadership', 'Health Personnel', 'Job Satisfaction', 'Ontario']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0019331949297338724]
+Labels: ['Diabetes']
+Scores: [0.0026915797498077154]
+Labels: ['Cancer']
+Scores: [0.0025227279402315617]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003203385276719928]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009964348282665014]
+Labels: ['Mental Health']
+Scores: [0.9154450297355652]
+Labels: ['Diabetes type 1']
+Scores: [0.00423480523750186]
+Labels: ['Diabetes type 2']
+Scores: [0.005297383759170771]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691046
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Canada', 'Mental Health', 'Occupational Health', 'Workplace', 'Health Personnel', 'Organizational Culture', 'Surveys and Questionnaires', 'Patient Safety', 'Safety Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.035245269536972046]
+Labels: ['Diabetes']
+Scores: [0.02396654523909092]
+Labels: ['Cancer']
+Scores: [0.01160773541778326]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021309444680809975]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008959675207734108]
+Labels: ['Mental Health']
+Scores: [0.2089911252260208]
+Labels: ['Diabetes type 1']
+Scores: [0.04908452928066254]
+Labels: ['Diabetes type 2']
+Scores: [0.04657832905650139]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691045
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Workplace', 'Health Personnel', 'Mental Health', 'Occupational Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005335694295354187]
+Labels: ['Diabetes']
+Scores: [0.0012111904798075557]
+Labels: ['Cancer']
+Scores: [0.0006178503972478211]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006844820454716682]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00013971116277389228]
+Labels: ['Mental Health']
+Scores: [0.9912564158439636]
+Labels: ['Diabetes type 1']
+Scores: [0.004673724062740803]
+Labels: ['Diabetes type 2']
+Scores: [0.005108882673084736]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690437
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'South Australia', 'Housing', 'Male', 'Female', 'Adult', 'Middle Aged', 'Food Security', 'Health Status', 'Mental Health', 'Health Surveys', 'Socioeconomic Factors', 'Adolescent', 'Food Insecurity', 'Aged', 'Chronic Disease', 'Young Adult', 'Food Supply']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01313919760286808]
+Labels: ['Diabetes']
+Scores: [0.010689576156437397]
+Labels: ['Cancer']
+Scores: [0.003467199159786105]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010235510766506195]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006049365270882845]
+Labels: ['Mental Health']
+Scores: [0.001006619306281209]
+Labels: ['Diabetes type 1']
+Scores: [0.037868693470954895]
+Labels: ['Diabetes type 2']
+Scores: [0.03738706186413765]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690123
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Adolescent', 'Adolescent Development', 'Young Adult', 'Adult', 'Child', 'Mental Health']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0334758386015892]
+Labels: ['Diabetes']
+Scores: [0.03134738281369209]
+Labels: ['Cancer']
+Scores: [0.027530107647180557]
+Labels: ['Chronic respiratory disease']
+Scores: [0.038432590663433075]
+Labels: ['Cardiovascular diseases']
+Scores: [0.019783105701208115]
+Labels: ['Mental Health']
+Scores: [0.9680569171905518]
+Labels: ['Diabetes type 1']
+Scores: [0.06395425647497177]
+Labels: ['Diabetes type 2']
+Scores: [0.06387621909379959]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39690113
+Predictions: ['Mental Health']
+MeshTerm: ['Humans', 'Mexico', 'Adolescent', 'Male', 'Female', 'Racism', 'Mental Disorders', 'Qualitative Research', 'Mental Health', 'Mental Health Services', 'Young Adult', 'Interviews as Topic', 'Health Services Accessibility', 'Urban Population', 'Urban Health', 'Indigenous Peoples', 'Patient Acceptance of Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03570396080613136]
+Labels: ['Diabetes']
+Scores: [0.05264483392238617]
+Labels: ['Cancer']
+Scores: [0.11539475619792938]
+Labels: ['Chronic respiratory disease']
+Scores: [0.061110060662031174]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016127608716487885]
+Labels: ['Mental Health']
+Scores: [0.9561448693275452]
+Labels: ['Diabetes type 1']
+Scores: [0.09648744761943817]
+Labels: ['Diabetes type 2']
+Scores: [0.0884462222456932]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Mental Health']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.42467328906059265]
+Labels: ['Diabetes']
+Scores: [0.9768584370613098]
+Labels: ['Cancer']
+Scores: [0.0006206910475157201]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00371754402294755]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007929347921162844]
+Labels: ['Mental Health']
+Scores: [0.0012211588909849524]
+Labels: ['Diabetes type 1']
+Scores: [0.984165608882904]
+Labels: ['Diabetes type 2']
+Scores: [0.014027816243469715]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737643
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Tilapia', 'Rats', 'Skin', 'Wound Healing', 'Diabetes Mellitus, Experimental', 'Diabetes Mellitus, Type 1', 'Male']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12992466986179352]
+Labels: ['Diabetes']
+Scores: [0.9525480270385742]
+Labels: ['Cancer']
+Scores: [0.018435051664710045]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018502337858080864]
+Labels: ['Cardiovascular diseases']
+Scores: [0.038351692259311676]
+Labels: ['Mental Health']
+Scores: [0.028917282819747925]
+Labels: ['Diabetes type 1']
+Scores: [0.9956451058387756]
+Labels: ['Diabetes type 2']
+Scores: [0.011271344497799873]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736868
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Hypoglycemia', 'Child', 'Female', 'Parents', 'Adolescent', 'Fear', 'Cross-Over Studies', 'Adult', 'Sleep', 'Middle Aged', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00416521867737174]
+Labels: ['Diabetes']
+Scores: [0.7427175045013428]
+Labels: ['Cancer']
+Scores: [8.030702156247571e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001589914463693276]
+Labels: ['Cardiovascular diseases']
+Scores: [8.047628216445446e-05]
+Labels: ['Mental Health']
+Scores: [0.00020428653806447983]
+Labels: ['Diabetes type 1']
+Scores: [0.9814796447753906]
+Labels: ['Diabetes type 2']
+Scores: [0.0001357756118522957]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04245823994278908]
+Labels: ['Diabetes']
+Scores: [0.8945838809013367]
+Labels: ['Cancer']
+Scores: [0.0022993646562099457]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001696110237389803]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004920410574413836]
+Labels: ['Mental Health']
+Scores: [0.000993114896118641]
+Labels: ['Diabetes type 1']
+Scores: [0.4780285060405731]
+Labels: ['Diabetes type 2']
+Scores: [0.45468688011169434]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39735417
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Islets of Langerhans Transplantation', 'Immunomodulating Agents', 'Immunologic Factors', 'Animals', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2522273361682892]
+Labels: ['Diabetes']
+Scores: [0.9034518003463745]
+Labels: ['Cancer']
+Scores: [0.016997355967760086]
+Labels: ['Chronic respiratory disease']
+Scores: [0.061661120504140854]
+Labels: ['Cardiovascular diseases']
+Scores: [0.022573305293917656]
+Labels: ['Mental Health']
+Scores: [0.023511137813329697]
+Labels: ['Diabetes type 1']
+Scores: [0.9605631828308105]
+Labels: ['Diabetes type 2']
+Scores: [0.18161742389202118]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733989
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Hypoglycemia', 'Male', 'Adult', 'Female', 'Blood Glucose', 'Hyperglycemia', 'Exercise', 'Child', 'Young Adult', 'Cohort Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Time Factors', 'Insulin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0015097182476893067]
+Labels: ['Diabetes']
+Scores: [0.9784680008888245]
+Labels: ['Cancer']
+Scores: [0.000437061331467703]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005455944337882102]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00037044487544335425]
+Labels: ['Mental Health']
+Scores: [0.000406682986067608]
+Labels: ['Diabetes type 1']
+Scores: [0.9946278929710388]
+Labels: ['Diabetes type 2']
+Scores: [0.00036518918932415545]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06764198839664459]
+Labels: ['Diabetes']
+Scores: [0.8101060390472412]
+Labels: ['Cancer']
+Scores: [0.0029505484271794558]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005961308721452951]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006030031945556402]
+Labels: ['Mental Health']
+Scores: [0.00978299230337143]
+Labels: ['Diabetes type 1']
+Scores: [0.9938149452209473]
+Labels: ['Diabetes type 2']
+Scores: [0.5360403656959534]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39732907
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Hypoglycemia', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose', 'Forecasting', 'Algorithms', 'Reinforcement, Psychology']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.024937910959124565]
+Labels: ['Diabetes']
+Scores: [0.8796418309211731]
+Labels: ['Cancer']
+Scores: [0.002645966364070773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004739565309137106]
+Labels: ['Cardiovascular diseases']
+Scores: [0.004196472465991974]
+Labels: ['Mental Health']
+Scores: [0.01091002207249403]
+Labels: ['Diabetes type 1']
+Scores: [0.3642004430294037]
+Labels: ['Diabetes type 2']
+Scores: [0.13215598464012146]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732545
+Predictions: ['Mental Health', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Male', 'Female', 'Patient Education as Topic', 'Glycemic Control', 'Transition to Adult Care', 'Self Care', 'Emotions', 'Mental Health', 'Feeding and Eating Disorders']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012584295123815536]
+Labels: ['Diabetes']
+Scores: [0.9266038537025452]
+Labels: ['Cancer']
+Scores: [0.001131367520429194]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0021137348376214504]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006639491184614599]
+Labels: ['Mental Health']
+Scores: [0.0006429585628211498]
+Labels: ['Diabetes type 1']
+Scores: [0.9881855845451355]
+Labels: ['Diabetes type 2']
+Scores: [0.0020559022668749094]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': True, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39731141
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Male', 'Child', 'Female', 'Cross-Sectional Studies', 'Ethiopia', 'Diabetes Mellitus, Type 1', 'Prevalence', 'Mental Disorders', 'Risk Factors', 'Follow-Up Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004296783357858658]
+Labels: ['Diabetes']
+Scores: [0.5841402411460876]
+Labels: ['Cancer']
+Scores: [0.002289044437929988]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008064594585448503]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00017320699407719076]
+Labels: ['Mental Health']
+Scores: [0.04824266582727432]
+Labels: ['Diabetes type 1']
+Scores: [0.9879510402679443]
+Labels: ['Diabetes type 2']
+Scores: [0.00015809033357072622]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730838
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 1', 'Genetic Predisposition to Disease', 'Genetic Risk Score', 'Genome, Human', 'Genome-Wide Association Study', 'Genotype', 'Polymorphism, Single Nucleotide', 'Whole Genome Sequencing', 'Racial Groups']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.364070862531662]
+Labels: ['Diabetes']
+Scores: [0.9584565162658691]
+Labels: ['Cancer']
+Scores: [0.01626529172062874]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02830657735466957]
+Labels: ['Cardiovascular diseases']
+Scores: [0.026338929310441017]
+Labels: ['Mental Health']
+Scores: [0.04020840302109718]
+Labels: ['Diabetes type 1']
+Scores: [0.9859128594398499]
+Labels: ['Diabetes type 2']
+Scores: [0.002136194845661521]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39728423
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Adult', 'Lupus Erythematosus, Systemic', 'Diabetes Mellitus, Type 1', 'Proteinuria', 'Nephrotic Syndrome', 'Podocytes']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2820507287979126]
+Labels: ['Diabetes']
+Scores: [0.9461495876312256]
+Labels: ['Cancer']
+Scores: [0.000512823520693928]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0034575765021145344]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014174959622323513]
+Labels: ['Mental Health']
+Scores: [0.0011800613719969988]
+Labels: ['Diabetes type 1']
+Scores: [0.9955396056175232]
+Labels: ['Diabetes type 2']
+Scores: [0.0001813743874663487]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727851
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Erythrocytes', 'Male', 'Female', 'Adult', 'Case-Control Studies', 'Biomechanical Phenomena', 'Biomarkers', 'Middle Aged', 'Microscopy, Atomic Force']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09037564694881439]
+Labels: ['Diabetes']
+Scores: [0.862059473991394]
+Labels: ['Cancer']
+Scores: [0.007174634374678135]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003175729652866721]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05364248901605606]
+Labels: ['Mental Health']
+Scores: [0.06621905416250229]
+Labels: ['Diabetes type 1']
+Scores: [0.9399280548095703]
+Labels: ['Diabetes type 2']
+Scores: [0.0021879877895116806]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39727210
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Autonomic Nervous System', 'Autonomic Nervous System Diseases', 'Biomarkers', 'Cardiovascular Diseases', 'Cardiovascular System', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 1', 'Diabetic Neuropathies', 'Heart Rate', 'Inflammation', 'Inflammation Mediators', 'Receptors, Urokinase Plasminogen Activator']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0021307661663740873]
+Labels: ['Diabetes']
+Scores: [0.9264912605285645]
+Labels: ['Cancer']
+Scores: [0.0001978364889509976]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000337695557391271]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7853571176528931]
+Labels: ['Mental Health']
+Scores: [0.00034898638841696084]
+Labels: ['Diabetes type 1']
+Scores: [0.9959509968757629]
+Labels: ['Diabetes type 2']
+Scores: [0.00017160878633148968]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39726058
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Aged', 'Immune Checkpoint Inhibitors', 'Nivolumab', 'Diabetes Mellitus, Type 1', 'Insulin', 'Adenocarcinoma', 'Hypoglycemic Agents', 'Antineoplastic Agents, Immunological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09827495366334915]
+Labels: ['Diabetes']
+Scores: [0.8093235492706299]
+Labels: ['Cancer']
+Scores: [0.20385389029979706]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003980565350502729]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003401437308639288]
+Labels: ['Mental Health']
+Scores: [0.0036100472789257765]
+Labels: ['Diabetes type 1']
+Scores: [0.12212721258401871]
+Labels: ['Diabetes type 2']
+Scores: [0.23029041290283203]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725378
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Male', 'Schistosomiasis mansoni', 'Diabetes Mellitus, Type 1', 'Pancreas', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Schistosoma mansoni', 'Islets of Langerhans', 'Acute Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11849761754274368]
+Labels: ['Diabetes']
+Scores: [0.6137346625328064]
+Labels: ['Cancer']
+Scores: [0.007750608492642641]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00895354151725769]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005584586411714554]
+Labels: ['Mental Health']
+Scores: [0.01539158821105957]
+Labels: ['Diabetes type 1']
+Scores: [0.7485103011131287]
+Labels: ['Diabetes type 2']
+Scores: [0.004779158625751734]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39724143
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, KIR', 'Genetic Predisposition to Disease', 'Histocompatibility Antigens Class II', 'Killer Cells, Natural', 'Case-Control Studies', 'Autoimmunity', 'T-Lymphocytes', 'Male', 'Female']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05886911228299141]
+Labels: ['Diabetes']
+Scores: [0.9908388257026672]
+Labels: ['Cancer']
+Scores: [0.0007904070662334561]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0018910656217485666]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009850147180259228]
+Labels: ['Mental Health']
+Scores: [0.001942153787240386]
+Labels: ['Diabetes type 1']
+Scores: [0.9935798645019531]
+Labels: ['Diabetes type 2']
+Scores: [0.0010563461109995842]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013886231929063797]
+Labels: ['Diabetes']
+Scores: [0.9297859072685242]
+Labels: ['Cancer']
+Scores: [0.00017808310803957283]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017358813784085214]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023238819267135113]
+Labels: ['Mental Health']
+Scores: [0.00022304782760329545]
+Labels: ['Diabetes type 1']
+Scores: [0.38529881834983826]
+Labels: ['Diabetes type 2']
+Scores: [0.4435027539730072]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009919600561261177]
+Labels: ['Diabetes']
+Scores: [0.5984739065170288]
+Labels: ['Cancer']
+Scores: [9.37101140152663e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016299694834742695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011973710206802934]
+Labels: ['Mental Health']
+Scores: [0.00022160843946039677]
+Labels: ['Diabetes type 1']
+Scores: [0.016638506203889847]
+Labels: ['Diabetes type 2']
+Scores: [0.03797128424048424]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719890
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Glucagon', 'Animals', 'Glucose', 'Peptides', 'Hydrogels', 'Diabetes Mellitus, Experimental', 'Blood Glucose', 'Mice', 'Boronic Acids', 'Diabetes Mellitus, Type 1', 'Male', 'Drug Delivery Systems']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17084181308746338]
+Labels: ['Diabetes']
+Scores: [0.6526237726211548]
+Labels: ['Cancer']
+Scores: [0.012301086448132992]
+Labels: ['Chronic respiratory disease']
+Scores: [0.020014263689517975]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018726052716374397]
+Labels: ['Mental Health']
+Scores: [0.0313844233751297]
+Labels: ['Diabetes type 1']
+Scores: [0.9490259885787964]
+Labels: ['Diabetes type 2']
+Scores: [0.006794892251491547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39718005
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Retrospective Studies', 'Hypoglycemia', 'Adult', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Middle Aged', 'Risk Assessment', 'Glycemic Control', 'Glycated Hemoglobin', 'Adolescent', 'Young Adult', 'Time Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0009810205083340406]
+Labels: ['Diabetes']
+Scores: [0.9292789101600647]
+Labels: ['Cancer']
+Scores: [0.0004650061600841582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004322569875512272]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020049248996656388]
+Labels: ['Mental Health']
+Scores: [0.0001796092401491478]
+Labels: ['Diabetes type 1']
+Scores: [0.9956625699996948]
+Labels: ['Diabetes type 2']
+Scores: [0.00017051385657396168]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006326302420347929]
+Labels: ['Diabetes']
+Scores: [0.14852365851402283]
+Labels: ['Cancer']
+Scores: [0.0002248048986075446]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002476992376614362]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003899764269590378]
+Labels: ['Mental Health']
+Scores: [0.00014541973359882832]
+Labels: ['Diabetes type 1']
+Scores: [0.05226544663310051]
+Labels: ['Diabetes type 2']
+Scores: [0.13146890699863434]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715178
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Telemedicine', 'Child', 'Quality of Life', 'Rural Population', 'Child, Preschool', 'Parents', 'Mentoring', 'Occupational Therapy', 'Double-Blind Method', 'Pilot Projects', 'Glycated Hemoglobin', 'Self Efficacy', 'Adult', 'Parenting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.183511883020401]
+Labels: ['Diabetes']
+Scores: [0.866297721862793]
+Labels: ['Cancer']
+Scores: [0.022649046033620834]
+Labels: ['Chronic respiratory disease']
+Scores: [0.054870668798685074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02096477337181568]
+Labels: ['Mental Health']
+Scores: [0.031809039413928986]
+Labels: ['Diabetes type 1']
+Scores: [0.9628296494483948]
+Labels: ['Diabetes type 2']
+Scores: [0.0025880993343889713]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39714936
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Aged', 'Male', 'Insulin Infusion Systems', 'Insulin', 'Cross-Over Studies', 'Aged, 80 and over', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Glycated Hemoglobin', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.023494407534599304]
+Labels: ['Diabetes']
+Scores: [0.9356891512870789]
+Labels: ['Cancer']
+Scores: [0.0003343553689774126]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006118254968896508]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005745151429437101]
+Labels: ['Mental Health']
+Scores: [0.0007765793125145137]
+Labels: ['Diabetes type 1']
+Scores: [0.9983624219894409]
+Labels: ['Diabetes type 2']
+Scores: [0.00016787984350230545]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710861
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Adolescent', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Cross-Sectional Studies', 'Child', 'Lipase', 'India', 'Amylases', 'Biomarkers', 'Young Adult', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Prognosis', 'Adult', 'Exocrine Pancreatic Insufficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00824128556996584]
+Labels: ['Diabetes']
+Scores: [0.7662269473075867]
+Labels: ['Cancer']
+Scores: [0.0020781196653842926]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004904087167233229]
+Labels: ['Cardiovascular diseases']
+Scores: [0.003571718232706189]
+Labels: ['Mental Health']
+Scores: [0.0030975292902439833]
+Labels: ['Diabetes type 1']
+Scores: [0.9776656627655029]
+Labels: ['Diabetes type 2']
+Scores: [0.0005425349809229374]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709470
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Genetic Predisposition to Disease', 'Diabetic Nephropathies', 'Diabetes Mellitus, Type 1', 'Peptidyl-Dipeptidase A', 'Cardiovascular Diseases', 'Phenotype', 'Genome-Wide Association Study', 'Risk Factors', 'Polymorphism, Genetic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11186425387859344]
+Labels: ['Diabetes']
+Scores: [0.9336065649986267]
+Labels: ['Cancer']
+Scores: [0.016043027862906456]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0646895244717598]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9889672994613647]
+Labels: ['Mental Health']
+Scores: [0.028005879372358322]
+Labels: ['Diabetes type 1']
+Scores: [0.9716184735298157]
+Labels: ['Diabetes type 2']
+Scores: [0.015272608958184719]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39708266
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats', 'Muscle, Skeletal', 'Drugs, Chinese Herbal', 'Insulin-Secreting Cells', 'Male', 'Adipose Tissue', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18001116812229156]
+Labels: ['Diabetes']
+Scores: [0.9891079068183899]
+Labels: ['Cancer']
+Scores: [0.001090378500521183]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0037110650446265936]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002935981610789895]
+Labels: ['Mental Health']
+Scores: [0.004927261266857386]
+Labels: ['Diabetes type 1']
+Scores: [0.9986647367477417]
+Labels: ['Diabetes type 2']
+Scores: [0.00018396296945866197]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707866
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Pilot Projects', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Middle Aged', 'Cognitive Dysfunction', 'Adult', 'Early Diagnosis', 'Aged', 'Retina', 'Visual Field Tests', 'Diabetic Retinopathy', 'Fixation, Ocular', 'Neuropsychological Tests']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003515796270221472]
+Labels: ['Diabetes']
+Scores: [0.954008936882019]
+Labels: ['Cancer']
+Scores: [0.0010081941727548838]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009640923817642033]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00026522387634031475]
+Labels: ['Mental Health']
+Scores: [0.009319942444562912]
+Labels: ['Diabetes type 1']
+Scores: [0.9938994646072388]
+Labels: ['Diabetes type 2']
+Scores: [0.0003096892614848912]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39707182
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Female', 'Child', 'Metabolomics', 'Adolescent', 'Metabolome', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Biomarkers', 'Metabolic Networks and Pathways', 'Machine Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05776677280664444]
+Labels: ['Diabetes']
+Scores: [0.8931328654289246]
+Labels: ['Cancer']
+Scores: [0.0008979348931461573]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004290745593607426]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005378340370953083]
+Labels: ['Mental Health']
+Scores: [0.002468745457008481]
+Labels: ['Diabetes type 1']
+Scores: [0.09463264793157578]
+Labels: ['Diabetes type 2']
+Scores: [0.11876165866851807]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706675
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Male', 'Retrospective Studies', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1', 'Blood Glucose', 'Hypoglycemic Agents', 'Risk Factors', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002004974288865924]
+Labels: ['Diabetes']
+Scores: [0.9285564422607422]
+Labels: ['Cancer']
+Scores: [0.0002907653688453138]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009732634644024074]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00041417405009269714]
+Labels: ['Mental Health']
+Scores: [0.0003572209388948977]
+Labels: ['Diabetes type 1']
+Scores: [0.0002828165015671402]
+Labels: ['Diabetes type 2']
+Scores: [0.9883581399917603]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39706641
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Rats, Wistar', 'Diabetic Neuropathies', 'NF-kappa B', 'Male', 'Diabetes Mellitus, Experimental', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 1', 'Streptozocin', 'Gabapentin', 'Glycation End Products, Advanced', 'Signal Transduction', 'Rats', 'Oxidative Stress', 'Disease Models, Animal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2819654047489166]
+Labels: ['Diabetes']
+Scores: [0.9819895029067993]
+Labels: ['Cancer']
+Scores: [0.006327612791210413]
+Labels: ['Chronic respiratory disease']
+Scores: [0.017753392457962036]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009477660991251469]
+Labels: ['Mental Health']
+Scores: [0.029141219332814217]
+Labels: ['Diabetes type 1']
+Scores: [0.998657763004303]
+Labels: ['Diabetes type 2']
+Scores: [0.005124257877469063]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39706517
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Magnetic Resonance Imaging', 'Adult', 'Neuralgia', 'Diabetic Neuropathies', 'Middle Aged', 'Brain', 'Cerebral Cortex']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2284085750579834]
+Labels: ['Diabetes']
+Scores: [0.9547118544578552]
+Labels: ['Cancer']
+Scores: [0.012040101923048496]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009378097951412201]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008093031123280525]
+Labels: ['Mental Health']
+Scores: [0.023470856249332428]
+Labels: ['Diabetes type 1']
+Scores: [0.9840362668037415]
+Labels: ['Diabetes type 2']
+Scores: [0.0008766590035520494]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704278
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Female', 'Male', 'Cytokines', 'Diabetes Mellitus, Type 1', 'Child', 'Chemokines', 'Adolescent', 'Sex Factors', 'Disease Progression', 'Child, Preschool', 'Intercellular Signaling Peptides and Proteins', 'Pilot Projects', 'Biomarkers', 'Sex Characteristics', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.35966798663139343]
+Labels: ['Diabetes']
+Scores: [0.9672638773918152]
+Labels: ['Cancer']
+Scores: [0.0669243112206459]
+Labels: ['Chronic respiratory disease']
+Scores: [0.13836286962032318]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05137104168534279]
+Labels: ['Mental Health']
+Scores: [0.12677495181560516]
+Labels: ['Diabetes type 1']
+Scores: [0.9872139692306519]
+Labels: ['Diabetes type 2']
+Scores: [0.0933179184794426]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704171
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 1', 'Mice', 'Interleukin-2', 'Disease Models, Animal', 'Interleukin-2 Receptor alpha Subunit', 'Interleukin-1 Receptor-Like 1 Protein', 'Interleukin-33', 'Mice, Inbred NOD', 'Female', 'Signal Transduction', 'CD8-Positive T-Lymphocytes', 'Islets of Langerhans', 'Th1 Cells', 'Interleukin-10', 'Autoimmunity', 'Recombinant Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6196192502975464]
+Labels: ['Diabetes']
+Scores: [0.9833037853240967]
+Labels: ['Cancer']
+Scores: [0.01093564834445715]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009956891648471355]
+Labels: ['Cardiovascular diseases']
+Scores: [0.013115339912474155]
+Labels: ['Mental Health']
+Scores: [0.026253828778862953]
+Labels: ['Diabetes type 1']
+Scores: [0.9974706768989563]
+Labels: ['Diabetes type 2']
+Scores: [0.0015065583866089582]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39704022
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Bioengineering', 'Animals', 'Genomics', 'Insulin-Secreting Cells', 'Proteomics', 'Insulin', 'Islets of Langerhans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11054085195064545]
+Labels: ['Diabetes']
+Scores: [0.98802649974823]
+Labels: ['Cancer']
+Scores: [0.004677856341004372]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01988314278423786]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010124364867806435]
+Labels: ['Mental Health']
+Scores: [0.0058091748505830765]
+Labels: ['Diabetes type 1']
+Scores: [0.9941296577453613]
+Labels: ['Diabetes type 2']
+Scores: [0.0014685855712741613]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703896
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Receptors, Calcitriol', 'South Africa', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Black People', 'Adult', 'Case-Control Studies', 'Vitamin D', 'Genotype', 'Young Adult', 'Polymorphism, Restriction Fragment Length', 'Polymorphism, Single Nucleotide', 'Genetic Predisposition to Disease', 'Middle Aged', 'Adolescent']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.34925851225852966]
+Labels: ['Diabetes']
+Scores: [0.8755890727043152]
+Labels: ['Cancer']
+Scores: [0.029609888792037964]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09697729349136353]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05330965295433998]
+Labels: ['Mental Health']
+Scores: [0.05365236848592758]
+Labels: ['Diabetes type 1']
+Scores: [0.9103872776031494]
+Labels: ['Diabetes type 2']
+Scores: [0.014993704855442047]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39703609
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'SARS-CoV-2', 'Acute Kidney Injury', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.45578238368034363]
+Labels: ['Diabetes']
+Scores: [0.972791850566864]
+Labels: ['Cancer']
+Scores: [0.024808213114738464]
+Labels: ['Chronic respiratory disease']
+Scores: [0.7910585999488831]
+Labels: ['Cardiovascular diseases']
+Scores: [0.046974021941423416]
+Labels: ['Mental Health']
+Scores: [0.22936487197875977]
+Labels: ['Diabetes type 1']
+Scores: [0.9247087836265564]
+Labels: ['Diabetes type 2']
+Scores: [0.9398348331451416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': True, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Chronic respiratory disease', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 2], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39702941
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Dendritic Cells', 'Humans', 'Macrophages', 'Immune Tolerance', 'Receptors, Cytoplasmic and Nuclear', 'Mitochondria', 'Male', 'Female', 'Phenotype']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.010394562035799026]
+Labels: ['Diabetes']
+Scores: [0.9760484099388123]
+Labels: ['Cancer']
+Scores: [0.000684377271682024]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014246926875784993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0015012436779215932]
+Labels: ['Mental Health']
+Scores: [0.0007763932808302343]
+Labels: ['Diabetes type 1']
+Scores: [0.9829427599906921]
+Labels: ['Diabetes type 2']
+Scores: [0.0006361445994116366]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39701114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diabetic Ketoacidosis', 'Adolescent', 'Female', 'Male', 'Child', 'Hypoglycemia', 'Young Adult', 'Insulin', 'Hypoglycemic Agents', 'Insulin Infusion Systems', 'Child, Preschool', 'Blood Glucose', 'Prospective Studies', 'Cohort Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0004278876876924187]
+Labels: ['Diabetes']
+Scores: [0.9161341786384583]
+Labels: ['Cancer']
+Scores: [0.00011139905836898834]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017458655929658562]
+Labels: ['Cardiovascular diseases']
+Scores: [7.107559213181958e-05]
+Labels: ['Mental Health']
+Scores: [7.902834477135912e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9712921977043152]
+Labels: ['Diabetes type 2']
+Scores: [0.00014924886636435986]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39699995
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Adult', 'Female', 'Male', 'Insulin', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Hypoglycemic Agents', 'Retrospective Studies', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000909522466827184]
+Labels: ['Diabetes']
+Scores: [0.9943796396255493]
+Labels: ['Cancer']
+Scores: [0.0005343389348126948]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006598473410122097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004302546149119735]
+Labels: ['Mental Health']
+Scores: [0.0003197830228600651]
+Labels: ['Diabetes type 1']
+Scores: [0.9972130656242371]
+Labels: ['Diabetes type 2']
+Scores: [0.0004139183147344738]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39697323
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'MicroRNAs', 'Insulin-Secreting Cells', 'Enterovirus B, Human', 'Coxsackievirus Infections', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Insulin', 'Trophoblasts']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2194485068321228]
+Labels: ['Diabetes']
+Scores: [0.9121367931365967]
+Labels: ['Cancer']
+Scores: [0.03821761906147003]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08951724320650101]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05029063671827316]
+Labels: ['Mental Health']
+Scores: [0.04817096143960953]
+Labels: ['Diabetes type 1']
+Scores: [0.9615694880485535]
+Labels: ['Diabetes type 2']
+Scores: [0.04855414479970932]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696373
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemia', 'Deep Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08867570757865906]
+Labels: ['Diabetes']
+Scores: [0.9417991042137146]
+Labels: ['Cancer']
+Scores: [0.02261989749968052]
+Labels: ['Chronic respiratory disease']
+Scores: [0.047832489013671875]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015769537538290024]
+Labels: ['Mental Health']
+Scores: [0.06935732066631317]
+Labels: ['Diabetes type 1']
+Scores: [0.998660683631897]
+Labels: ['Diabetes type 2']
+Scores: [0.0018444068264216185]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39696094
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Sirolimus', 'Genetic Diseases, X-Linked', 'Diarrhea', 'Immunosuppressive Agents', 'Forkhead Transcription Factors', 'Immune System Diseases', 'Infant', 'Mutation', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.12614919245243073]
+Labels: ['Diabetes']
+Scores: [0.003052897984161973]
+Labels: ['Cancer']
+Scores: [0.0010148062137886882]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008989807683974504]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005544876912608743]
+Labels: ['Mental Health']
+Scores: [0.001730718300677836]
+Labels: ['Diabetes type 1']
+Scores: [0.001576439943164587]
+Labels: ['Diabetes type 2']
+Scores: [0.0016826248029246926]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39692076
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Histamine', 'Female', 'Adult', 'Hot Temperature', 'Middle Aged', 'Diabetic Neuropathies', 'Axons', 'Neural Conduction', 'Reflex', 'Sural Nerve', 'Young Adult', 'ROC Curve', 'Neurologic Examination']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0008893770864233375]
+Labels: ['Diabetes']
+Scores: [0.5257471799850464]
+Labels: ['Cancer']
+Scores: [4.7645720769651234e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013926767860539258]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011179372813785449]
+Labels: ['Mental Health']
+Scores: [0.00024358848168049008]
+Labels: ['Diabetes type 1']
+Scores: [0.9004009366035461]
+Labels: ['Diabetes type 2']
+Scores: [7.220361294457689e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39691822
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'New Zealand', 'Cross-Sectional Studies', 'Adolescent', 'Child', 'Diabetes Mellitus, Type 1', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Prevalence', 'Child, Preschool', 'Adult', 'Glycated Hemoglobin', 'Primary Health Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005678293528035283]
+Labels: ['Diabetes']
+Scores: [0.8744933009147644]
+Labels: ['Cancer']
+Scores: [0.00016058214532677084]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001992137113120407]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014207822096068412]
+Labels: ['Mental Health']
+Scores: [0.000119048694614321]
+Labels: ['Diabetes type 1']
+Scores: [0.1168861985206604]
+Labels: ['Diabetes type 2']
+Scores: [0.1628836840391159]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39689816
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Female', 'Middle Aged', 'Depression', 'Adult', 'Glycated Hemoglobin', 'Prevalence', 'Sex Factors', 'Surveys and Questionnaires', 'Self-Management']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0032178317196667194]
+Labels: ['Diabetes']
+Scores: [0.9870608448982239]
+Labels: ['Cancer']
+Scores: [0.0004398563760332763]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017255189595744014]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008319496992044151]
+Labels: ['Mental Health']
+Scores: [0.0469944030046463]
+Labels: ['Diabetes type 1']
+Scores: [0.9945610761642456]
+Labels: ['Diabetes type 2']
+Scores: [0.0003369427577126771]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39689633
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Male', 'Parents', 'Qualitative Research', 'Child', 'Adolescent', 'Child, Preschool', 'Interviews as Topic', 'Infant', 'Hospitalization', 'Adult', 'Self Care', 'Self-Management', 'Perception', 'Social Support']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11594740301370621]
+Labels: ['Diabetes']
+Scores: [0.8986585140228271]
+Labels: ['Cancer']
+Scores: [0.00047453289153054357]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002200581133365631]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007426376105286181]
+Labels: ['Mental Health']
+Scores: [0.0019463495118543506]
+Labels: ['Diabetes type 1']
+Scores: [0.9950371980667114]
+Labels: ['Diabetes type 2']
+Scores: [0.00014747693785466254]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39688288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Male', 'Adult', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 1', 'Medically Underserved Area', 'California', 'Florida']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004710272420197725]
+Labels: ['Diabetes']
+Scores: [0.993523895740509]
+Labels: ['Cancer']
+Scores: [0.00018257186457049102]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00026193837402388453]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019247531599830836]
+Labels: ['Mental Health']
+Scores: [0.00029390459530986845]
+Labels: ['Diabetes type 1']
+Scores: [0.2797066569328308]
+Labels: ['Diabetes type 2']
+Scores: [0.5326555371284485]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39686350
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Female', 'Spectroscopy, Near-Infrared', 'Blood Glucose', 'Male', 'Middle Aged', 'Prospective Studies', 'Diabetes Mellitus, Type 2', 'Adult', 'Aged', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.032318729907274246]
+Labels: ['Diabetes']
+Scores: [0.43346354365348816]
+Labels: ['Cancer']
+Scores: [9.189711272483692e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011003866093233228]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07846991717815399]
+Labels: ['Mental Health']
+Scores: [8.005429845070466e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.1139463409781456]
+Labels: ['Diabetes type 2']
+Scores: [0.15831930935382843]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39686207
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Neural Networks, Computer', 'Blood Glucose', 'Internet of Things', 'Deep Learning', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Forecasting']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1070113331079483]
+Labels: ['Diabetes']
+Scores: [0.9686373472213745]
+Labels: ['Cancer']
+Scores: [0.010863026604056358]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00971986074000597]
+Labels: ['Cardiovascular diseases']
+Scores: [0.010281650349497795]
+Labels: ['Mental Health']
+Scores: [0.025354936718940735]
+Labels: ['Diabetes type 1']
+Scores: [0.9907673597335815]
+Labels: ['Diabetes type 2']
+Scores: [0.0017422846285626292]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683492
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Isomaltose', 'Female', 'Diabetes Mellitus, Type 1', 'Male', 'Middle Aged', 'Cross-Over Studies', 'Adult', 'Exercise', 'Insulin', 'Blood Glucose', 'Insulin Infusion Systems', 'Glucagon', 'Glucagon-Like Peptide 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001799926394596696]
+Labels: ['Diabetes']
+Scores: [0.9455779790878296]
+Labels: ['Cancer']
+Scores: [0.004526994191110134]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003993255086243153]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0026384838856756687]
+Labels: ['Mental Health']
+Scores: [0.005885891616344452]
+Labels: ['Diabetes type 1']
+Scores: [0.9883503913879395]
+Labels: ['Diabetes type 2']
+Scores: [0.00017370899149682373]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39683465
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Female', 'Humans', 'Diabetes Mellitus, Type 1', 'Dietary Supplements', 'Dipeptidyl-Peptidase IV Inhibitors', 'Insulin-Secreting Cells', 'Latent Autoimmune Diabetes in Adults', 'Vitamin D', 'Vitamin D Deficiency']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25950974225997925]
+Labels: ['Diabetes']
+Scores: [0.7386772036552429]
+Labels: ['Cancer']
+Scores: [0.009585079737007618]
+Labels: ['Chronic respiratory disease']
+Scores: [0.025158017873764038]
+Labels: ['Cardiovascular diseases']
+Scores: [0.024305809289216995]
+Labels: ['Mental Health']
+Scores: [0.09820441901683807]
+Labels: ['Diabetes type 1']
+Scores: [0.08509787917137146]
+Labels: ['Diabetes type 2']
+Scores: [0.14786595106124878]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682744
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Extracellular Vesicles', 'Humans', 'Insulin-Secreting Cells', 'Cell Communication', 'Animals', 'Islets of Langerhans', 'Cellular Microenvironment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11594925820827484]
+Labels: ['Diabetes']
+Scores: [0.9525774121284485]
+Labels: ['Cancer']
+Scores: [0.003851136425510049]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010023822076618671]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009905615821480751]
+Labels: ['Mental Health']
+Scores: [0.015101714991033077]
+Labels: ['Diabetes type 1']
+Scores: [0.9734439253807068]
+Labels: ['Diabetes type 2']
+Scores: [0.0010153019102290273]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39682729
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Intestinal Mucosa', 'Inflammatory Bowel Diseases', 'Celiac Disease', 'Protein Tyrosine Phosphatases', 'Animals', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0945601537823677]
+Labels: ['Diabetes']
+Scores: [0.4641539752483368]
+Labels: ['Cancer']
+Scores: [0.018990131095051765]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005201478023082018]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002671189373359084]
+Labels: ['Mental Health']
+Scores: [0.009845941327512264]
+Labels: ['Diabetes type 1']
+Scores: [0.36440786719322205]
+Labels: ['Diabetes type 2']
+Scores: [0.013430491089820862]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39682726
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Organoids', 'Alzheimer Disease', 'Herpesvirus 1, Human', 'Brain', 'Herpes Simplex', 'Islets of Langerhans', 'Autoimmune Diseases', 'Stem Cells', 'Transcriptome', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3614959716796875]
+Labels: ['Diabetes']
+Scores: [0.668319046497345]
+Labels: ['Cancer']
+Scores: [0.014357378706336021]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03629707917571068]
+Labels: ['Cardiovascular diseases']
+Scores: [0.025179168209433556]
+Labels: ['Mental Health']
+Scores: [0.4944440424442291]
+Labels: ['Diabetes type 1']
+Scores: [0.8823083639144897]
+Labels: ['Diabetes type 2']
+Scores: [0.07410327345132828]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39680874
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Aged', 'Diabetes Mellitus, Type 1', 'Caregivers', 'Male', 'Pilot Projects', 'Female', 'Feasibility Studies', 'Quality of Life', 'Middle Aged', 'Self-Management', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11082590371370316]
+Labels: ['Diabetes']
+Scores: [0.7847457528114319]
+Labels: ['Cancer']
+Scores: [0.0013321569422259927]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1680096536874771]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05178935453295708]
+Labels: ['Mental Health']
+Scores: [0.001318064285442233]
+Labels: ['Diabetes type 1']
+Scores: [0.19077114760875702]
+Labels: ['Diabetes type 2']
+Scores: [0.30146101117134094]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39680256
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Glycemic Control', 'Child', 'Diabetes Mellitus, Type 1', 'Parents', 'Child, Preschool', 'Hypoglycemia', 'Stress, Psychological', 'Infant', 'Blood Glucose', 'Parent-Child Relations', 'Fear']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02687234804034233]
+Labels: ['Diabetes']
+Scores: [0.9569033980369568]
+Labels: ['Cancer']
+Scores: [0.005363349337130785]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011064593680202961]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0044469344429671764]
+Labels: ['Mental Health']
+Scores: [0.14268237352371216]
+Labels: ['Diabetes type 1']
+Scores: [0.982815146446228]
+Labels: ['Diabetes type 2']
+Scores: [0.0010076274629682302]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39679900
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Adult', 'Obesity', 'Diabetes Complications', 'Insulin Resistance', 'Young Adult', 'Cardiovascular Diseases', 'Obesity, Metabolically Benign', 'Body Mass Index', 'Follow-Up Studies', 'Adolescent', 'Diabetic Neuropathies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.008950245566666126]
+Labels: ['Diabetes']
+Scores: [0.8298047184944153]
+Labels: ['Cancer']
+Scores: [0.00034643540857359767]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005993282538838685]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5468658208847046]
+Labels: ['Mental Health']
+Scores: [0.00021694267343264073]
+Labels: ['Diabetes type 1']
+Scores: [0.9842057228088379]
+Labels: ['Diabetes type 2']
+Scores: [0.00021517624554689974]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39678192
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Biomarkers', 'Female', 'Lipase', 'Adult', 'Amylases', 'Immunotherapy', 'Trypsin', 'Young Adult', 'Pancreas, Exocrine', 'Adolescent', 'Granulocyte Colony-Stimulating Factor', 'Treatment Outcome', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.05072638392448425]
+Labels: ['Diabetes']
+Scores: [0.932516872882843]
+Labels: ['Cancer']
+Scores: [0.0012111894320696592]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015943350736051798]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00034671934554353356]
+Labels: ['Mental Health']
+Scores: [0.0010837423615157604]
+Labels: ['Diabetes type 1']
+Scores: [0.9960586428642273]
+Labels: ['Diabetes type 2']
+Scores: [0.00042486246093176305]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39676645
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Prospective Studies', 'Adult', 'Systole', 'Diastole', 'Ultrasonography, Prenatal', 'Fetal Heart', 'Diabetes Mellitus, Type 1', 'Echocardiography, Doppler', 'Young Adult', 'Ventricular Function, Left', 'Myocardial Contraction', 'Pregnancy in Diabetics', 'Stroke Volume', 'Diabetes Mellitus, Type 2', 'Heart Ventricles']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0046305349096655846]
+Labels: ['Diabetes']
+Scores: [0.14720645546913147]
+Labels: ['Cancer']
+Scores: [0.0005329427076503634]
+Labels: ['Chronic respiratory disease']
+Scores: [0.008867654949426651]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9741818904876709]
+Labels: ['Mental Health']
+Scores: [0.0004833249549847096]
+Labels: ['Diabetes type 1']
+Scores: [0.15884649753570557]
+Labels: ['Diabetes type 2']
+Scores: [0.23687876760959625]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39676515
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Health Knowledge, Attitudes, Practice', 'Female', 'Male', 'School Teachers', 'Morocco', 'Adult', 'Surveys and Questionnaires', 'Child', 'Schools', 'Health Education', 'School Health Services']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004900242667645216]
+Labels: ['Diabetes']
+Scores: [0.910041093826294]
+Labels: ['Cancer']
+Scores: [0.00044579521636478603]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006050707888789475]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00020694122940767556]
+Labels: ['Mental Health']
+Scores: [0.0012247919803485274]
+Labels: ['Diabetes type 1']
+Scores: [0.943851113319397]
+Labels: ['Diabetes type 2']
+Scores: [0.00024098072026390582]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675543
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Pyroptosis', 'Diabetes Mellitus, Type 1', 'Mice', 'Arsenic', 'Caspase 1', 'NLR Family, Pyrin Domain-Containing 3 Protein', 'Diabetes Mellitus, Experimental', 'Male', 'Insulin', 'Reactive Oxygen Species', 'Blood Glucose', 'Streptozocin', 'Phosphate-Binding Proteins', 'Disease Progression', 'Interleukin-18', 'Interleukin-1beta', 'Pancreas', 'Signal Transduction', 'Mice, Inbred C57BL', 'Insulin Resistance', 'Gasdermins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.47319912910461426]
+Labels: ['Diabetes']
+Scores: [0.9803047180175781]
+Labels: ['Cancer']
+Scores: [0.016372572630643845]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018730036914348602]
+Labels: ['Cardiovascular diseases']
+Scores: [0.016786029562354088]
+Labels: ['Mental Health']
+Scores: [0.10390396416187286]
+Labels: ['Diabetes type 1']
+Scores: [0.9908156394958496]
+Labels: ['Diabetes type 2']
+Scores: [0.0077794077806174755]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675483
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Insulin Infusion Systems', 'Adolescent', 'Parents', 'Insulin', 'Blood Glucose Self-Monitoring', 'Child', 'Hypoglycemic Agents', 'Patient Acceptance of Health Care', 'Surveys and Questionnaires', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005307641811668873]
+Labels: ['Diabetes']
+Scores: [0.9727626442909241]
+Labels: ['Cancer']
+Scores: [0.00026285319472663105]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007489452254958451]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002607975038699806]
+Labels: ['Mental Health']
+Scores: [0.0004575772909447551]
+Labels: ['Diabetes type 1']
+Scores: [0.9493418335914612]
+Labels: ['Diabetes type 2']
+Scores: [0.000517520122230053]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39675356
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Methylenetetrahydrofolate Reductase (NADPH2)', 'Female', 'Male', 'Adolescent', 'Child', 'Interleukin-4', 'Polymorphism, Genetic', 'Diabetic Neuropathies', 'Diabetes Mellitus, Type 1', 'Genotype', 'Genetic Predisposition to Disease', 'Neural Conduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.000133449153508991]
+Labels: ['Diabetes']
+Scores: [0.0044685606844723225]
+Labels: ['Cancer']
+Scores: [3.970448233303614e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [7.478927727788687e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [7.521783845731989e-05]
+Labels: ['Mental Health']
+Scores: [0.00013628283340949565]
+Labels: ['Diabetes type 1']
+Scores: [0.00014556286623701453]
+Labels: ['Diabetes type 2']
+Scores: [0.00013489992124959826]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39673446
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cost-Benefit Analysis', 'Insulin Infusion Systems', 'Blood Glucose Self-Monitoring', 'Insulin', 'Blood Glucose', 'Hypoglycemic Agents', 'Models, Economic', 'Glycated Hemoglobin', 'Quality-Adjusted Life Years', 'Randomized Controlled Trials as Topic', 'Algorithms']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07954259216785431]
+Labels: ['Diabetes']
+Scores: [0.7799850702285767]
+Labels: ['Cancer']
+Scores: [7.29077000869438e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [9.78065945673734e-05]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001152001932496205]
+Labels: ['Mental Health']
+Scores: [0.00010851421393454075]
+Labels: ['Diabetes type 1']
+Scores: [0.9859203696250916]
+Labels: ['Diabetes type 2']
+Scores: [6.766790465917438e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39673230
+Predictions: ['Cardiovascular diseases', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Cardiovascular Diseases', 'Australia', 'Risk Assessment', 'Male', 'Female', 'Adult', 'Middle Aged', 'Heart Disease Risk Factors', 'Risk Factors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030410172417759895]
+Labels: ['Diabetes']
+Scores: [0.5394442081451416]
+Labels: ['Cancer']
+Scores: [0.002516584936529398]
+Labels: ['Chronic respiratory disease']
+Scores: [0.011643379926681519]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9929183125495911]
+Labels: ['Mental Health']
+Scores: [0.0026384317316114902]
+Labels: ['Diabetes type 1']
+Scores: [0.9728416204452515]
+Labels: ['Diabetes type 2']
+Scores: [0.0007562950486317277]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases', 'Diabetes type 1']
+Confusion matrix: [[2, 0], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39670552
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Feasibility Studies', 'Insulin', 'Child', 'Female', 'Male', 'Needlestick Injuries', 'Injections, Subcutaneous', 'Needles', 'Adolescent', 'Diabetes Mellitus, Type 1', 'Child, Preschool', 'Hypoglycemic Agents', 'Young Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.34270310401916504]
+Labels: ['Diabetes']
+Scores: [0.8772768378257751]
+Labels: ['Cancer']
+Scores: [0.008643265813589096]
+Labels: ['Chronic respiratory disease']
+Scores: [0.15704259276390076]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008157910779118538]
+Labels: ['Mental Health']
+Scores: [0.011229066178202629]
+Labels: ['Diabetes type 1']
+Scores: [0.5327398777008057]
+Labels: ['Diabetes type 2']
+Scores: [0.6096693277359009]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39667114
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Male', 'Female', 'Child', 'Prospective Studies', 'Pneumococcal Vaccines', 'Seroconversion', 'Pilot Projects', 'Antibodies, Bacterial', 'Child, Preschool', 'Immunoglobulin G', 'Adolescent', 'Vaccination', 'Pneumococcal Infections', 'Glycated Hemoglobin', 'Streptococcus pneumoniae']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.25544703006744385]
+Labels: ['Diabetes']
+Scores: [0.9473561644554138]
+Labels: ['Cancer']
+Scores: [0.0027030010242015123]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3679766058921814]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0038363439962267876]
+Labels: ['Mental Health']
+Scores: [0.015735920518636703]
+Labels: ['Diabetes type 1']
+Scores: [0.9937474727630615]
+Labels: ['Diabetes type 2']
+Scores: [0.0008147972403094172]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39666416
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose Self-Monitoring', 'Blood Glucose', 'Diabetes Mellitus', 'Quality of Life', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.053912997245788574]
+Labels: ['Diabetes']
+Scores: [0.9144721031188965]
+Labels: ['Cancer']
+Scores: [0.017046082764863968]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03713127598166466]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014957355335354805]
+Labels: ['Mental Health']
+Scores: [0.04764922335743904]
+Labels: ['Diabetes type 1']
+Scores: [0.49288034439086914]
+Labels: ['Diabetes type 2']
+Scores: [0.8969991207122803]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[2, 0], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39665438
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice', 'Insulin-Secreting Cells', 'Diabetes Mellitus, Experimental', 'Cell Survival', 'Anti-Inflammatory Agents', 'Polytetrafluoroethylene', 'Diabetes Mellitus, Type 1', 'Male', 'Macrophages', 'Membranes, Artificial', 'Mice, Inbred C57BL', 'Cell Encapsulation', 'Islets of Langerhans Transplantation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11730813980102539]
+Labels: ['Diabetes']
+Scores: [0.9523851871490479]
+Labels: ['Cancer']
+Scores: [0.007733616977930069]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013306080363690853]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011941259726881981]
+Labels: ['Mental Health']
+Scores: [0.019263552501797676]
+Labels: ['Diabetes type 1']
+Scores: [0.9936078786849976]
+Labels: ['Diabetes type 2']
+Scores: [0.0010263306321576238]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39664107
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Male', 'Diabetes Mellitus, Type 1', 'Adult', 'Middle Aged', 'Diabetic Neuropathies', 'Female', 'Magnetic Resonance Imaging', 'Olfactory Bulb', 'Aged', 'Young Adult', 'Adolescent', 'Case-Control Studies', 'Smell']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003979978617280722]
+Labels: ['Diabetes']
+Scores: [0.8141631484031677]
+Labels: ['Cancer']
+Scores: [0.00016121698718052357]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002428371226415038]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000322157284244895]
+Labels: ['Mental Health']
+Scores: [0.0012131467228755355]
+Labels: ['Diabetes type 1']
+Scores: [0.9754374027252197]
+Labels: ['Diabetes type 2']
+Scores: [0.0002684301871340722]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39663236
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Quality of Life', 'Psychometrics', 'Sweden', 'Child', 'Male', 'Female', 'Surveys and Questionnaires', 'Chronic Disease', 'Adolescent', 'Reproducibility of Results', 'Diabetes Mellitus, Type 1', 'Translations', 'Asthma', 'Parents', 'Factor Analysis, Statistical', 'Child, Preschool']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009881344623863697]
+Labels: ['Diabetes']
+Scores: [0.15290217101573944]
+Labels: ['Cancer']
+Scores: [0.11902841180562973]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3119850754737854]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08926740288734436]
+Labels: ['Mental Health']
+Scores: [0.06556252390146255]
+Labels: ['Diabetes type 1']
+Scores: [0.1680484116077423]
+Labels: ['Diabetes type 2']
+Scores: [0.1663151979446411]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39661959
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Female', 'Adolescent', 'Male', 'Belgium', 'Longitudinal Studies', 'Young Adult', 'Adult', 'Self Concept']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009667309001088142]
+Labels: ['Diabetes']
+Scores: [0.9509775042533875]
+Labels: ['Cancer']
+Scores: [0.013471034355461597]
+Labels: ['Chronic respiratory disease']
+Scores: [0.024546686559915543]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005307130515575409]
+Labels: ['Mental Health']
+Scores: [0.11030346900224686]
+Labels: ['Diabetes type 1']
+Scores: [0.9962579607963562]
+Labels: ['Diabetes type 2']
+Scores: [0.00018365573487244546]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658973
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'COVID-19', 'Male', 'Female', 'Middle Aged', 'Retrospective Studies', 'Pakistan', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Adult', 'SARS-CoV-2', 'Survival Rate', 'Incidence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.33729830384254456]
+Labels: ['Diabetes']
+Scores: [0.9543406367301941]
+Labels: ['Cancer']
+Scores: [0.009605290368199348]
+Labels: ['Chronic respiratory disease']
+Scores: [0.14724531769752502]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0338091142475605]
+Labels: ['Mental Health']
+Scores: [0.00801614299416542]
+Labels: ['Diabetes type 1']
+Scores: [0.9658410549163818]
+Labels: ['Diabetes type 2']
+Scores: [0.8346589207649231]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39658119
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Diabetes Mellitus, Type 1', 'Child', 'Male', 'Female', 'Retrospective Studies', 'Adolescent', 'Saudi Arabia', 'Child, Preschool', 'Incidence', 'Polyuria', 'Abdominal Pain', 'Polydipsia', 'Vomiting', 'Age Factors', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09811794757843018]
+Labels: ['Diabetes']
+Scores: [0.8960356116294861]
+Labels: ['Cancer']
+Scores: [0.0019558521453291178]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006801942829042673]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005092819686979055]
+Labels: ['Mental Health']
+Scores: [0.0021781029645353556]
+Labels: ['Diabetes type 1']
+Scores: [0.9863061308860779]
+Labels: ['Diabetes type 2']
+Scores: [0.002270359080284834]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39658013
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Female', 'Male', 'Self Efficacy', 'Quality of Life', 'Jordan', 'Glycemic Control', 'Empowerment', 'Glycated Hemoglobin', 'Child']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001820830162614584]
+Labels: ['Diabetes']
+Scores: [0.9816962480545044]
+Labels: ['Cancer']
+Scores: [0.00045026233419775963]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00040980649646371603]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003935659187845886]
+Labels: ['Mental Health']
+Scores: [0.0004836958833038807]
+Labels: ['Diabetes type 1']
+Scores: [0.9975112676620483]
+Labels: ['Diabetes type 2']
+Scores: [0.0001082411763491109]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39653802
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Exercise', 'Insulin Infusion Systems', 'Insulin', 'Adolescent', 'Child', 'Hypoglycemic Agents', 'Europe', 'Blood Glucose', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.031516313552856445]
+Labels: ['Diabetes']
+Scores: [0.9187486171722412]
+Labels: ['Cancer']
+Scores: [0.00934706162661314]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05210515111684799]
+Labels: ['Cardiovascular diseases']
+Scores: [0.026752401143312454]
+Labels: ['Mental Health']
+Scores: [0.035589735954999924]
+Labels: ['Diabetes type 1']
+Scores: [0.9853026270866394]
+Labels: ['Diabetes type 2']
+Scores: [0.00679423613473773]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39652325
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Male', 'Republic of Korea', 'Adolescent', 'Female', 'Child', 'Incidence', 'Child, Preschool', 'Young Adult', 'Cohort Studies', 'Pandemics', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08501588553190231]
+Labels: ['Diabetes']
+Scores: [0.9135414958000183]
+Labels: ['Cancer']
+Scores: [0.0017637378768995404]
+Labels: ['Chronic respiratory disease']
+Scores: [0.5353665947914124]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0014187039341777563]
+Labels: ['Mental Health']
+Scores: [0.0006883149617351592]
+Labels: ['Diabetes type 1']
+Scores: [0.7605090141296387]
+Labels: ['Diabetes type 2']
+Scores: [0.5827908515930176]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39652177
+Predictions: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Dermatitis, Atopic', 'Comorbidity', 'Risk Factors', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus', 'Child', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.059153106063604355]
+Labels: ['Diabetes']
+Scores: [0.5883629322052002]
+Labels: ['Cancer']
+Scores: [0.00035212800139561296]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007984911790117621]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003144285292364657]
+Labels: ['Mental Health']
+Scores: [0.000360246398486197]
+Labels: ['Diabetes type 1']
+Scores: [0.027611229568719864]
+Labels: ['Diabetes type 2']
+Scores: [0.0495191290974617]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [3, 5]]
+---------------------------------
+---------------------------------
+PMID: 39649224
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Genetic Predisposition to Disease', 'Genome-Wide Association Study', 'Glycated Hemoglobin', 'Mendelian Randomization Analysis', 'Polymorphism, Single Nucleotide', 'Spondylitis, Ankylosing']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.07909686118364334]
+Labels: ['Diabetes']
+Scores: [0.9652634859085083]
+Labels: ['Cancer']
+Scores: [0.0015838727122172713]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0028806510381400585]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0010709644993767142]
+Labels: ['Mental Health']
+Scores: [0.0006590602570213377]
+Labels: ['Diabetes type 1']
+Scores: [0.3066941499710083]
+Labels: ['Diabetes type 2']
+Scores: [0.44232597947120667]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39648458
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Fatty Acids, Omega-3', 'Chemokine CXCL9', 'Insulin-Secreting Cells', 'Animals', 'Mice', 'Diabetes Mellitus, Type 1', 'Cell Line', 'Signal Transduction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.473869651556015]
+Labels: ['Diabetes']
+Scores: [0.9900768995285034]
+Labels: ['Cancer']
+Scores: [0.11232664436101913]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06548688560724258]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05227862298488617]
+Labels: ['Mental Health']
+Scores: [0.323798269033432]
+Labels: ['Diabetes type 1']
+Scores: [0.9940124154090881]
+Labels: ['Diabetes type 2']
+Scores: [0.005695720203220844]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39645243
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Insulin-Secreting Cells', 'Animals', 'Drug Development', 'Insulin Secretion', 'Insulin', 'Disease Progression', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1726076304912567]
+Labels: ['Diabetes']
+Scores: [0.9368729591369629]
+Labels: ['Cancer']
+Scores: [0.0007563196122646332]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017072714399546385]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018603135831654072]
+Labels: ['Mental Health']
+Scores: [0.0033147777430713177]
+Labels: ['Diabetes type 1']
+Scores: [0.9832620024681091]
+Labels: ['Diabetes type 2']
+Scores: [0.0002730058040469885]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39644976
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Diving', 'Adult', 'Hypoglycemia', 'Male', 'Female', 'Blood Glucose', 'Young Adult', 'Blood Glucose Self-Monitoring', 'Glycated Hemoglobin', 'Adolescent', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0015631644055247307]
+Labels: ['Diabetes']
+Scores: [0.9701463580131531]
+Labels: ['Cancer']
+Scores: [0.00012746980064548552]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00047554291086271405]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016195063653867692]
+Labels: ['Mental Health']
+Scores: [0.000185491080628708]
+Labels: ['Diabetes type 1']
+Scores: [0.9911629557609558]
+Labels: ['Diabetes type 2']
+Scores: [0.0001754474506014958]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39642862
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Islets of Langerhans Transplantation', 'Induced Pluripotent Stem Cells', 'Islets of Langerhans', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03194597736001015]
+Labels: ['Diabetes']
+Scores: [0.9757283329963684]
+Labels: ['Cancer']
+Scores: [9.719089575810358e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00012575479922816157]
+Labels: ['Cardiovascular diseases']
+Scores: [9.33049013838172e-05]
+Labels: ['Mental Health']
+Scores: [9.742865950101987e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.9973428845405579]
+Labels: ['Diabetes type 2']
+Scores: [6.227043195394799e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39639901
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cost-Benefit Analysis', 'Diabetes Mellitus, Type 2', 'Patient Education as Topic', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17231576144695282]
+Labels: ['Diabetes']
+Scores: [0.7441698312759399]
+Labels: ['Cancer']
+Scores: [0.003523431485518813]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00866797287017107]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002981811296194792]
+Labels: ['Mental Health']
+Scores: [0.0020806086249649525]
+Labels: ['Diabetes type 1']
+Scores: [0.0008670109673403203]
+Labels: ['Diabetes type 2']
+Scores: [0.9811363220214844]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39636437
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'T-Lymphocytes, Regulatory', 'Mice, Inbred NOD', 'Mice', 'Female', 'Diabetes Mellitus, Type 1', 'Antigens, Differentiation, T-Lymphocyte', 'Antibodies, Monoclonal']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.027250492945313454]
+Labels: ['Diabetes']
+Scores: [0.9413348436355591]
+Labels: ['Cancer']
+Scores: [0.0002484598953742534]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00021616228332277387]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0001613343774806708]
+Labels: ['Mental Health']
+Scores: [0.0001352854014839977]
+Labels: ['Diabetes type 1']
+Scores: [0.9905745387077332]
+Labels: ['Diabetes type 2']
+Scores: [0.0004226928576827049]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39632776
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Glycemic Control', 'Blood Glucose Self-Monitoring', 'Hypoglycemia', 'Glycated Hemoglobin', 'Diabetes Mellitus, Type 2', 'Diabetic Angiopathies', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Postprandial Period', 'Clinical Relevance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.029242247343063354]
+Labels: ['Diabetes']
+Scores: [0.9304329752922058]
+Labels: ['Cancer']
+Scores: [0.0041391197592020035]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021719790995121002]
+Labels: ['Cardiovascular diseases']
+Scores: [0.11397480964660645]
+Labels: ['Mental Health']
+Scores: [0.012071994133293629]
+Labels: ['Diabetes type 1']
+Scores: [0.11172139644622803]
+Labels: ['Diabetes type 2']
+Scores: [0.2423190474510193]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39632164
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Female', 'Male', 'Child, Preschool', 'Surveys and Questionnaires', 'Infant', 'Parents', 'Insulin Infusion Systems', 'Patient Satisfaction', 'Blood Glucose', 'Child', 'Caregivers', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005430836230516434]
+Labels: ['Diabetes']
+Scores: [0.6531619429588318]
+Labels: ['Cancer']
+Scores: [0.0015801620902493596]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0012619602493941784]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005954197840765119]
+Labels: ['Mental Health']
+Scores: [0.002022267086431384]
+Labels: ['Diabetes type 1']
+Scores: [0.9959955215454102]
+Labels: ['Diabetes type 2']
+Scores: [8.92828029463999e-05]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39629047
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Blood Glucose', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Drug Administration Schedule', 'Glycated Hemoglobin', 'Hypoglycemia', 'Hypoglycemic Agents', 'Insulin', 'Insulin, Long-Acting', 'Randomized Controlled Trials as Topic', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0032524520065635443]
+Labels: ['Diabetes']
+Scores: [0.9378760457038879]
+Labels: ['Cancer']
+Scores: [0.00039334557368420064]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00053075747564435]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00025848086806945503]
+Labels: ['Mental Health']
+Scores: [0.00029554436332546175]
+Labels: ['Diabetes type 1']
+Scores: [0.6957812309265137]
+Labels: ['Diabetes type 2']
+Scores: [0.8444709777832031]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39627081
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetic Ketoacidosis', 'Retrospective Studies', 'Child', 'Female', 'Male', 'Adolescent', 'Child, Preschool', 'Infant', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 1', 'Insulin, Long-Acting', 'Insulin', 'Infant, Newborn', 'Infusions, Intravenous']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.019552139565348625]
+Labels: ['Diabetes']
+Scores: [0.8739981055259705]
+Labels: ['Cancer']
+Scores: [0.0022902258206158876]
+Labels: ['Chronic respiratory disease']
+Scores: [0.009618201293051243]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0058524892665445805]
+Labels: ['Mental Health']
+Scores: [0.0028960027266293764]
+Labels: ['Diabetes type 1']
+Scores: [0.12934577465057373]
+Labels: ['Diabetes type 2']
+Scores: [0.14862772822380066]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39626097
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'HLA-DR3 Antigen', 'Haplotypes', 'HLA-DR4 Antigen', 'Genetic Predisposition to Disease', 'Male', 'Female', 'Genome-Wide Association Study', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00212301779538393]
+Labels: ['Diabetes']
+Scores: [0.30847129225730896]
+Labels: ['Cancer']
+Scores: [0.00016210321336984634]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00042905251029878855]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00030723490635864437]
+Labels: ['Mental Health']
+Scores: [0.00012281874660402536]
+Labels: ['Diabetes type 1']
+Scores: [0.5489090085029602]
+Labels: ['Diabetes type 2']
+Scores: [0.00027020557899959385]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39625868
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Pregnancy', 'Female', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Blood Glucose Self-Monitoring', 'Wearable Electronic Devices']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13354189693927765]
+Labels: ['Diabetes']
+Scores: [0.9052826762199402]
+Labels: ['Cancer']
+Scores: [0.002480208408087492]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004788815975189209]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0030897243414074183]
+Labels: ['Mental Health']
+Scores: [0.49175769090652466]
+Labels: ['Diabetes type 1']
+Scores: [0.7813635468482971]
+Labels: ['Diabetes type 2']
+Scores: [0.8104006052017212]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39625848
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Insulin', 'Administration, Cutaneous', 'Needles', 'Drug Delivery Systems', 'Animals', 'Skin', 'Swine', 'Skin Absorption', 'Microinjections', 'Diabetes Mellitus, Type 1', 'Hypoglycemic Agents', 'Humans']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08955317735671997]
+Labels: ['Diabetes']
+Scores: [0.9419762492179871]
+Labels: ['Cancer']
+Scores: [0.002955170813947916]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0024175255093723536]
+Labels: ['Cardiovascular diseases']
+Scores: [0.002922236453741789]
+Labels: ['Mental Health']
+Scores: [0.012804464437067509]
+Labels: ['Diabetes type 1']
+Scores: [0.9710545539855957]
+Labels: ['Diabetes type 2']
+Scores: [0.0008969631744548678]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39625039
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Receptors, Glucagon', 'Hypoglycemic Agents', 'Blood Glucose', 'Insulin', 'Randomized Controlled Trials as Topic', 'Hypoglycemia', 'Treatment Outcome', 'Antibodies, Monoclonal, Humanized']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21598562598228455]
+Labels: ['Diabetes']
+Scores: [0.653881311416626]
+Labels: ['Cancer']
+Scores: [0.017355861142277718]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02789451740682125]
+Labels: ['Cardiovascular diseases']
+Scores: [0.028969984501600266]
+Labels: ['Mental Health']
+Scores: [0.05570010468363762]
+Labels: ['Diabetes type 1']
+Scores: [0.9826430678367615]
+Labels: ['Diabetes type 2']
+Scores: [0.007793356664478779]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes type 1']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39622650
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Child', 'Blood Glucose Self-Monitoring', 'Insulin Infusion Systems', 'Adolescent', 'Insulin', 'Skin Diseases', 'Hypoglycemic Agents', 'Child, Preschool', 'Lipodystrophy', 'Dermatitis, Contact']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01176896970719099]
+Labels: ['Diabetes']
+Scores: [0.9552245140075684]
+Labels: ['Cancer']
+Scores: [0.0019628596492111683]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008724096696823835]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003117969899903983]
+Labels: ['Mental Health']
+Scores: [0.0007430927362293005]
+Labels: ['Diabetes type 1']
+Scores: [0.9890859127044678]
+Labels: ['Diabetes type 2']
+Scores: [0.00046029695658944547]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622257
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Registries', 'Child', 'Female', 'Male', 'Longitudinal Studies', 'Adolescent', 'Child, Preschool', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Blood Glucose', 'Hypoglycemia', 'Treatment Outcome', 'Infant', 'Glycemic Control']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0005147922784090042]
+Labels: ['Diabetes']
+Scores: [0.8603143692016602]
+Labels: ['Cancer']
+Scores: [0.00022202605032362044]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005694600404240191]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00015106565842870623]
+Labels: ['Mental Health']
+Scores: [0.0002230794489150867]
+Labels: ['Diabetes type 1']
+Scores: [0.9714306592941284]
+Labels: ['Diabetes type 2']
+Scores: [0.00015560758765786886]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39622163
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Diabetes Mellitus, Type 1', 'Humans', 'Animals', 'Blood Glucose', 'Tissue Engineering', 'Porosity', 'Human Umbilical Vein Endothelial Cells', 'Tissue Scaffolds', 'Induced Pluripotent Stem Cells', 'Insulin', 'Diabetes Mellitus, Experimental', 'Printing, Three-Dimensional', 'Bioprinting', 'Male', 'Cell Survival', 'Insulin-Secreting Cells', 'Extracellular Matrix']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.48555490374565125]
+Labels: ['Diabetes']
+Scores: [0.9798385500907898]
+Labels: ['Cancer']
+Scores: [0.01362382248044014]
+Labels: ['Chronic respiratory disease']
+Scores: [0.021744973957538605]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07659965753555298]
+Labels: ['Mental Health']
+Scores: [0.04551892727613449]
+Labels: ['Diabetes type 1']
+Scores: [0.9893056154251099]
+Labels: ['Diabetes type 2']
+Scores: [0.0067738560028374195]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621933
+Predictions: ['Diabetes', 'Diabetes type 1']
+MeshTerm: ['Humans', 'Child', 'Adolescent', 'Child, Preschool', 'Retrospective Studies', 'Female', 'Blood Glucose', 'Male', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus', 'Hospitalization', 'Diabetes Mellitus, Type 1']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.001173567958176136]
+Labels: ['Diabetes']
+Scores: [0.9862463474273682]
+Labels: ['Cancer']
+Scores: [0.00021034890960436314]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003616873291321099]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000303339387755841]
+Labels: ['Mental Health']
+Scores: [0.000292022101348266]
+Labels: ['Diabetes type 1']
+Scores: [0.23319049179553986]
+Labels: ['Diabetes type 2']
+Scores: [0.22558097541332245]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39621313
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Animals', 'Mice, Inbred NOD', 'Interleukin-4', 'Mice', 'Thymus Gland', 'Diabetes Mellitus, Type 1', 'Receptors, Antigen, T-Cell', 'Dendritic Cells', 'Natural Killer T-Cells']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2691262662410736]
+Labels: ['Diabetes']
+Scores: [0.9007697105407715]
+Labels: ['Cancer']
+Scores: [0.00649877218529582]
+Labels: ['Chronic respiratory disease']
+Scores: [0.013681095093488693]
+Labels: ['Cardiovascular diseases']
+Scores: [0.014382540248334408]
+Labels: ['Mental Health']
+Scores: [0.003899612696841359]
+Labels: ['Diabetes type 1']
+Scores: [0.9480276107788086]
+Labels: ['Diabetes type 2']
+Scores: [0.0015656573232263327]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39620918
+Predictions: ['Diabetes type 1']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 1', 'Aged', 'Automobile Driving', 'Insulin Infusion Systems', 'Male', 'Female', 'Insulin', 'Cross-Over Studies', 'Hypoglycemic Agents', 'Middle Aged', 'Blood Glucose', 'Blood Glucose Self-Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03659908100962639]
+Labels: ['Diabetes']
+Scores: [0.9727050065994263]
+Labels: ['Cancer']
+Scores: [0.0025971021968871355]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005181360524147749]
+Labels: ['Cardiovascular diseases']
+Scores: [0.005404621362686157]
+Labels: ['Mental Health']
+Scores: [0.013911852613091469]
+Labels: ['Diabetes type 1']
+Scores: [0.9860436320304871]
+Labels: ['Diabetes type 2']
+Scores: [0.0029483551625162363]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39738226
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ethiopia', 'Male', 'Female', 'Middle Aged', 'Disorders of Excessive Somnolence', 'Cross-Sectional Studies', 'Adult', 'Prevalence', 'Risk Factors', 'Aged', 'Hypertension', 'Surveys and Questionnaires', 'Comorbidity', 'Obesity', 'Snoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.29077187180519104]
+Labels: ['Diabetes']
+Scores: [0.895599365234375]
+Labels: ['Cancer']
+Scores: [0.029277916997671127]
+Labels: ['Chronic respiratory disease']
+Scores: [0.41950884461402893]
+Labels: ['Cardiovascular diseases']
+Scores: [0.14763472974300385]
+Labels: ['Mental Health']
+Scores: [0.18824541568756104]
+Labels: ['Diabetes type 1']
+Scores: [0.4250750243663788]
+Labels: ['Diabetes type 2']
+Scores: [0.9041340947151184]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39737893
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Mendelian Randomization Analysis', 'Male', 'Female', 'Nutrition Surveys', 'Middle Aged', 'Genome-Wide Association Study', 'Arthritis, Rheumatoid', 'Adult', 'Arthritis', 'Prevalence', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Aged', 'Genetic Predisposition to Disease', 'Logistic Models', 'Polymorphism, Single Nucleotide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.42467328906059265]
+Labels: ['Diabetes']
+Scores: [0.9768584370613098]
+Labels: ['Cancer']
+Scores: [0.0006206910475157201]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00371754402294755]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007929347921162844]
+Labels: ['Mental Health']
+Scores: [0.0012211588909849524]
+Labels: ['Diabetes type 1']
+Scores: [0.984165608882904]
+Labels: ['Diabetes type 2']
+Scores: [0.014027816243469715]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39737509
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'India', 'Biological Specimen Banks', 'Adult', 'Female', 'Male', 'Diabetes Mellitus', 'Registries', 'Biomedical Research', 'Young Adult', 'Cohort Studies', 'Age of Onset', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03273962438106537]
+Labels: ['Diabetes']
+Scores: [0.987826406955719]
+Labels: ['Cancer']
+Scores: [0.0023766562808305025]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007139460649341345]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00674624927341938]
+Labels: ['Mental Health']
+Scores: [0.004060084465891123]
+Labels: ['Diabetes type 1']
+Scores: [0.5645133852958679]
+Labels: ['Diabetes type 2']
+Scores: [0.6298757791519165]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Male', 'Rats, Wistar', 'Receptors, N-Methyl-D-Aspartate', 'Diabetes Mellitus, Experimental', 'Insulin', 'Rats', 'Magnesium', 'Diabetes Mellitus, Type 2', 'Nitric Oxide Synthase Type I', 'Dietary Supplements', 'Random Allocation', 'Streptozocin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3486286699771881]
+Labels: ['Diabetes']
+Scores: [0.9837037920951843]
+Labels: ['Cancer']
+Scores: [0.00674461992457509]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010300874710083008]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0057645938359200954]
+Labels: ['Mental Health']
+Scores: [0.04365576431155205]
+Labels: ['Diabetes type 1']
+Scores: [0.03864118829369545]
+Labels: ['Diabetes type 2']
+Scores: [0.977006196975708]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736870
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Nomograms', 'Diabetic Neuropathies', 'Female', 'Male', 'Middle Aged', 'Aged', 'Risk Factors', 'ROC Curve', 'Diabetes Mellitus, Type 2', 'Prognosis', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0063518499955534935]
+Labels: ['Diabetes']
+Scores: [0.9089730381965637]
+Labels: ['Cancer']
+Scores: [0.00014409457799047232]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002085641463054344]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012042800517519936]
+Labels: ['Mental Health']
+Scores: [0.0001554369810037315]
+Labels: ['Diabetes type 1']
+Scores: [0.13332532346248627]
+Labels: ['Diabetes type 2']
+Scores: [0.23386551439762115]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736865
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Ultrasonography', 'Aged', 'Middle Aged', 'Bone Density', 'Diabetes Mellitus, Type 2', 'Tibia', 'Absorptiometry, Photon', 'Case-Control Studies', 'Diabetes Mellitus, Type 1', 'Cortical Bone', 'Elasticity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.04245823994278908]
+Labels: ['Diabetes']
+Scores: [0.8945838809013367]
+Labels: ['Cancer']
+Scores: [0.0022993646562099457]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001696110237389803]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0004920410574413836]
+Labels: ['Mental Health']
+Scores: [0.000993114896118641]
+Labels: ['Diabetes type 1']
+Scores: [0.4780285060405731]
+Labels: ['Diabetes type 2']
+Scores: [0.45468688011169434]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736861
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Middle Aged', 'Hyperparathyroidism, Primary', 'Adrenal Glands', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19637979567050934]
+Labels: ['Diabetes']
+Scores: [0.9884412288665771]
+Labels: ['Cancer']
+Scores: [0.0013994473265483975]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020933726336807013]
+Labels: ['Cardiovascular diseases']
+Scores: [0.011133423075079918]
+Labels: ['Mental Health']
+Scores: [0.00908539816737175]
+Labels: ['Diabetes type 1']
+Scores: [0.24608644843101501]
+Labels: ['Diabetes type 2']
+Scores: [0.45816123485565186]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736858
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Male', 'Female', 'Middle Aged', 'Nutrition Surveys', 'Adult', 'Oxidative Stress', 'United States', 'Aged', 'Life Style', 'Diet', 'Risk Factors', 'Follow-Up Studies', 'Prevalence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03876395523548126]
+Labels: ['Diabetes']
+Scores: [0.846940279006958]
+Labels: ['Cancer']
+Scores: [0.0019682878628373146]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007764291949570179]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9297735691070557]
+Labels: ['Mental Health']
+Scores: [0.0009127925732173026]
+Labels: ['Diabetes type 1']
+Scores: [0.0003127276722807437]
+Labels: ['Diabetes type 2']
+Scores: [0.994111955165863]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736551
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Health Literacy', 'Physician-Patient Relations', 'Middle Aged', 'Cross-Sectional Studies', 'Self Care', 'Information Seeking Behavior', 'Medication Adherence', 'Communication', 'Aged', 'Adult', 'Internet', 'Assessment of Medication Adherence']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02076713554561138]
+Labels: ['Diabetes']
+Scores: [0.9706498384475708]
+Labels: ['Cancer']
+Scores: [0.00040845246985554695]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005645589553751051]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002839057124219835]
+Labels: ['Mental Health']
+Scores: [0.0007027774699963629]
+Labels: ['Diabetes type 1']
+Scores: [0.00025801692390814424]
+Labels: ['Diabetes type 2']
+Scores: [0.9969443678855896]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736518
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Atrial Fibrillation', 'Retrospective Studies', 'Female', 'Aged', 'Treatment Outcome', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Time Factors', 'Risk Factors', 'Risk Assessment', 'Hemorrhage', 'Aged, 80 and over', 'Cause of Death', 'Myocardial Infarction']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014314481522887945]
+Labels: ['Diabetes']
+Scores: [0.7871859669685364]
+Labels: ['Cancer']
+Scores: [0.0005682249902747571]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0006950467359274626]
+Labels: ['Cardiovascular diseases']
+Scores: [0.994230329990387]
+Labels: ['Mental Health']
+Scores: [0.0003860584110952914]
+Labels: ['Diabetes type 1']
+Scores: [0.19977107644081116]
+Labels: ['Diabetes type 2']
+Scores: [0.5347902178764343]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Cardiovascular diseases']
+Confusion matrix: [[0, 2], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39736351
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Fibroblast Growth Factors', 'Diabetes Mellitus, Type 2', 'Mice', 'Dependovirus', 'Humans', 'Gene Transfer Techniques', 'Genetic Therapy', 'Male', 'Diabetes Mellitus, Experimental', 'HEK293 Cells', 'Mice, Inbred C57BL', 'Blood Glucose', 'Genetic Vectors', 'Liver', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1653629094362259]
+Labels: ['Diabetes']
+Scores: [0.9723917245864868]
+Labels: ['Cancer']
+Scores: [0.0006149302935227752]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0007805960485711694]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0007279181154444814]
+Labels: ['Mental Health']
+Scores: [0.001213724259287119]
+Labels: ['Diabetes type 1']
+Scores: [0.0006170409033074975]
+Labels: ['Diabetes type 2']
+Scores: [0.9947428107261658]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736334
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cross-Sectional Studies', 'Diet, Vegetarian', 'Male', 'Female', 'Middle Aged', 'Adult', 'Prospective Studies', 'Aged', 'Risk Factors', 'United Kingdom', 'Proteomics', 'Diet, Healthy', 'Diet, Plant-Based']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0032193867955356836]
+Labels: ['Diabetes']
+Scores: [0.987779438495636]
+Labels: ['Cancer']
+Scores: [0.0005345882964320481]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002874963451176882]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005998247652314603]
+Labels: ['Mental Health']
+Scores: [0.0008761408971622586]
+Labels: ['Diabetes type 1']
+Scores: [0.0012568128295242786]
+Labels: ['Diabetes type 2']
+Scores: [0.9887349009513855]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39736162
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Quality of Life', 'Nigeria', 'Male', 'Female', 'Middle Aged', 'Self-Management', 'Patient Education as Topic', 'Adult', 'Surveys and Questionnaires', 'Health Knowledge, Attitudes, Practice', 'Aged', 'Self Care']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.041752010583877563]
+Labels: ['Diabetes']
+Scores: [0.8800588250160217]
+Labels: ['Cancer']
+Scores: [0.0008658668375574052]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0013190077152103186]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000896179408300668]
+Labels: ['Mental Health']
+Scores: [0.001149360672570765]
+Labels: ['Diabetes type 1']
+Scores: [0.0004054262535646558]
+Labels: ['Diabetes type 2']
+Scores: [0.9956201314926147]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735994
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Receptor, ErbB-4', 'Neuregulins', 'Liver', 'Middle Aged', 'Female', 'Non-alcoholic Fatty Liver Disease', 'Male', 'Adult', 'Lipogenesis', 'Obesity', 'Diabetes Mellitus, Type 2', 'RNA, Messenger', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03181885555386543]
+Labels: ['Diabetes']
+Scores: [0.011560551822185516]
+Labels: ['Cancer']
+Scores: [0.020373539999127388]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0026953662745654583]
+Labels: ['Cardiovascular diseases']
+Scores: [0.01176865678280592]
+Labels: ['Mental Health']
+Scores: [0.0003081854374613613]
+Labels: ['Diabetes type 1']
+Scores: [0.04543127119541168]
+Labels: ['Diabetes type 2']
+Scores: [0.05262908339500427]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735781
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Hip Fractures', 'Male', 'Female', 'Albuminuria', 'Aged', 'Middle Aged', 'Creatinine', 'Risk Factors', 'Bone Density', 'Postmenopause']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.6584963202476501]
+Labels: ['Diabetes']
+Scores: [0.9600233435630798]
+Labels: ['Cancer']
+Scores: [0.030971186235547066]
+Labels: ['Chronic respiratory disease']
+Scores: [0.07583485543727875]
+Labels: ['Cardiovascular diseases']
+Scores: [0.08735799044370651]
+Labels: ['Mental Health']
+Scores: [0.08041885495185852]
+Labels: ['Diabetes type 1']
+Scores: [0.11033538728952408]
+Labels: ['Diabetes type 2']
+Scores: [0.9666324257850647]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735651
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Iran', 'Middle Aged', 'Follow-Up Studies', 'Incidence', 'Adult', 'Thyrotropin', 'Thyroxine', 'Longitudinal Studies', 'Thyroid Hormones', 'Risk Factors', 'Thyroid Function Tests', 'Thyroid Gland', 'Thyroid Diseases']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10418663918972015]
+Labels: ['Diabetes']
+Scores: [0.9275544285774231]
+Labels: ['Cancer']
+Scores: [0.003965949639678001]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005081635899841785]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0036248972173780203]
+Labels: ['Mental Health']
+Scores: [0.003071428742259741]
+Labels: ['Diabetes type 1']
+Scores: [0.00042085160384885967]
+Labels: ['Diabetes type 2']
+Scores: [0.979783296585083]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735647
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Fecal Microbiota Transplantation', 'Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.09461689740419388]
+Labels: ['Diabetes']
+Scores: [0.9666287302970886]
+Labels: ['Cancer']
+Scores: [0.006238055415451527]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02358877845108509]
+Labels: ['Cardiovascular diseases']
+Scores: [0.009212075732648373]
+Labels: ['Mental Health']
+Scores: [0.007933652959764004]
+Labels: ['Diabetes type 1']
+Scores: [0.038649193942546844]
+Labels: ['Diabetes type 2']
+Scores: [0.9873273372650146]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735646
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Somatostatin', 'Acromegaly', 'Pituitary ACTH Hypersecretion', 'Hyperglycemia', 'Algorithms', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3027663230895996]
+Labels: ['Diabetes']
+Scores: [0.6359657049179077]
+Labels: ['Cancer']
+Scores: [0.17245373129844666]
+Labels: ['Chronic respiratory disease']
+Scores: [0.09409859031438828]
+Labels: ['Cardiovascular diseases']
+Scores: [0.5722118616104126]
+Labels: ['Mental Health']
+Scores: [0.0575287789106369]
+Labels: ['Diabetes type 1']
+Scores: [0.05230877175927162]
+Labels: ['Diabetes type 2']
+Scores: [0.8622909784317017]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39735639
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Adiponectin', 'Leptin', 'Diabetic Neuropathies', 'Male', 'Female', 'Middle Aged', 'Case-Control Studies', 'Diabetes Mellitus, Type 2', 'Aged', 'Biomarkers', 'Risk Factors', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005741229746490717]
+Labels: ['Diabetes']
+Scores: [0.946746826171875]
+Labels: ['Cancer']
+Scores: [0.00021403977007139474]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005189906223677099]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021133564587216824]
+Labels: ['Mental Health']
+Scores: [0.0002580293803475797]
+Labels: ['Diabetes type 1']
+Scores: [0.15658687055110931]
+Labels: ['Diabetes type 2']
+Scores: [0.21333569288253784]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735416
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Amputation, Surgical', 'Male', 'Middle Aged', 'Female', 'Risk Factors', 'Aged', 'Diabetes Mellitus, Type 2', 'Retrospective Studies', 'Lower Extremity', 'Age Factors', 'China', 'Adult', 'Prevalence', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00034685200080275536]
+Labels: ['Diabetes']
+Scores: [0.8641265034675598]
+Labels: ['Cancer']
+Scores: [0.0001497543853474781]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002115956594934687]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00012599390174727887]
+Labels: ['Mental Health']
+Scores: [0.0001593890629010275]
+Labels: ['Diabetes type 1']
+Scores: [0.0006370811606757343]
+Labels: ['Diabetes type 2']
+Scores: [0.9283654689788818]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735415
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Metabolomics', 'Middle Aged', 'Coronary Disease', 'Biomarkers', 'Diabetes Mellitus, Type 2', 'Comorbidity', 'Depression', 'Hypertension', 'Aged', 'Gas Chromatography-Mass Spectrometry', 'Metabolome', 'Adult', 'Case-Control Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00066993513610214]
+Labels: ['Diabetes']
+Scores: [0.18437333405017853]
+Labels: ['Cancer']
+Scores: [0.0001755532284732908]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001159320745500736]
+Labels: ['Cardiovascular diseases']
+Scores: [0.963779628276825]
+Labels: ['Mental Health']
+Scores: [8.034972415771335e-05]
+Labels: ['Diabetes type 1']
+Scores: [0.06374054402112961]
+Labels: ['Diabetes type 2']
+Scores: [0.13907025754451752]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39735414
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Cognitive Dysfunction', 'Olfaction Disorders', 'Early Diagnosis', 'Biomarkers', 'Smell', 'Magnetic Resonance Imaging', 'Brain']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0006316733779385686]
+Labels: ['Diabetes']
+Scores: [0.8774272203445435]
+Labels: ['Cancer']
+Scores: [0.00019043752399738878]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005802165833301842]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00014092908531893045]
+Labels: ['Mental Health']
+Scores: [0.005779068451374769]
+Labels: ['Diabetes type 1']
+Scores: [0.00022737531980965286]
+Labels: ['Diabetes type 2']
+Scores: [0.955112099647522]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39734182
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Foot', 'Female', 'Male', 'Middle Aged', 'Aged', 'Aged, 80 and over', 'Tibia', 'Periosteum', 'Microcirculation', 'Treatment Outcome', 'Follow-Up Studies', 'Wound Healing', 'Diabetes Mellitus, Type 2', 'Severity of Illness Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009930606000125408]
+Labels: ['Diabetes']
+Scores: [0.952191948890686]
+Labels: ['Cancer']
+Scores: [0.000666832725983113]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014859370421618223]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005070937913842499]
+Labels: ['Mental Health']
+Scores: [0.00026452276506461203]
+Labels: ['Diabetes type 1']
+Scores: [0.14850136637687683]
+Labels: ['Diabetes type 2']
+Scores: [0.43070918321609497]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733376
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hungary', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Diabetes Mellitus', 'Blood Glucose', 'Glycated Hemoglobin', 'Aged', 'Clinical Laboratory Techniques', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.18916235864162445]
+Labels: ['Diabetes']
+Scores: [0.9752730131149292]
+Labels: ['Cancer']
+Scores: [0.00016459752805531025]
+Labels: ['Chronic respiratory disease']
+Scores: [0.000567377544939518]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00035469018621370196]
+Labels: ['Mental Health']
+Scores: [0.00047552818432450294]
+Labels: ['Diabetes type 1']
+Scores: [0.3571394383907318]
+Labels: ['Diabetes type 2']
+Scores: [0.5218312740325928]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733138
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Diabetes Mellitus, Type 2', 'Humans', 'Osteoarthritis', 'Animals', 'Rats', 'Chondrocytes', 'Cartilage, Articular', 'Up-Regulation', 'Lipopolysaccharide Receptors', 'Male', 'Monocytes', 'Gene Expression Profiling', 'Biomarkers', 'Cell Adhesion Molecules']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.3155122995376587]
+Labels: ['Diabetes']
+Scores: [0.8758948445320129]
+Labels: ['Cancer']
+Scores: [0.028175393119454384]
+Labels: ['Chronic respiratory disease']
+Scores: [0.047733332961797714]
+Labels: ['Cardiovascular diseases']
+Scores: [0.020596826449036598]
+Labels: ['Mental Health']
+Scores: [0.050842735916376114]
+Labels: ['Diabetes type 1']
+Scores: [0.026998864486813545]
+Labels: ['Diabetes type 2']
+Scores: [0.9265257120132446]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39733115
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin', 'Glucocorticoids', 'Diabetes Mellitus, Type 2', 'Diabetes Mellitus, Type 1', 'Glucose', 'Blood Glucose', 'Models, Biological']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06764198839664459]
+Labels: ['Diabetes']
+Scores: [0.8101060390472412]
+Labels: ['Cancer']
+Scores: [0.0029505484271794558]
+Labels: ['Chronic respiratory disease']
+Scores: [0.005961308721452951]
+Labels: ['Cardiovascular diseases']
+Scores: [0.006030031945556402]
+Labels: ['Mental Health']
+Scores: [0.00978299230337143]
+Labels: ['Diabetes type 1']
+Scores: [0.9938149452209473]
+Labels: ['Diabetes type 2']
+Scores: [0.5360403656959534]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': False}
+Selected labels: ['Diabetes', 'Diabetes type 1']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39733102
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Monocytes', 'Male', 'Female', 'Middle Aged', 'Apolipoprotein A-I', 'Biomarkers', 'Aged', 'ROC Curve', 'Non-alcoholic Fatty Liver Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4834466874599457]
+Labels: ['Diabetes']
+Scores: [0.8465421199798584]
+Labels: ['Cancer']
+Scores: [0.030404431745409966]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04293927550315857]
+Labels: ['Cardiovascular diseases']
+Scores: [0.04931623488664627]
+Labels: ['Mental Health']
+Scores: [0.10438157618045807]
+Labels: ['Diabetes type 1']
+Scores: [0.14944347739219666]
+Labels: ['Diabetes type 2']
+Scores: [0.9730043411254883]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39732300
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Ferroptosis', 'NF-E2-Related Factor 2', 'Diabetes Mellitus, Type 2', 'Male', 'Drugs, Chinese Herbal', 'Mice', 'Diabetes Mellitus, Experimental', 'Mice, Inbred C57BL', 'Oxidative Stress', 'Liver', 'Diet, High-Fat', 'Lipid Peroxidation', 'Berberine', 'Cell Line', 'Glucosides', 'Flavanones', 'Streptozocin', 'Isoflavones', 'Flavonoids']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17834234237670898]
+Labels: ['Diabetes']
+Scores: [0.9897662401199341]
+Labels: ['Cancer']
+Scores: [0.0007194390054792166]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001055686385370791]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005433051264844835]
+Labels: ['Mental Health']
+Scores: [0.002842747373506427]
+Labels: ['Diabetes type 1']
+Scores: [0.0003579072072170675]
+Labels: ['Diabetes type 2']
+Scores: [0.9983853101730347]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731787
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Insulin Resistance', 'Animals', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Mice', 'Triterpenes', 'Male', 'Diabetes Mellitus, Experimental', 'Molecular Structure', 'Structure-Activity Relationship', 'Humans', 'Dose-Response Relationship, Drug', 'Mice, Inbred C57BL']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15304067730903625]
+Labels: ['Diabetes']
+Scores: [0.8293256163597107]
+Labels: ['Cancer']
+Scores: [0.03578381612896919]
+Labels: ['Chronic respiratory disease']
+Scores: [0.06817757338285446]
+Labels: ['Cardiovascular diseases']
+Scores: [0.07291820645332336]
+Labels: ['Mental Health']
+Scores: [0.06480377167463303]
+Labels: ['Diabetes type 1']
+Scores: [0.14013879001140594]
+Labels: ['Diabetes type 2']
+Scores: [0.9668922424316406]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39731761
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Anti-Bacterial Agents', 'Coagulase', 'Comorbidity', 'Diabetes Mellitus, Type 2', 'Staphylococcal Infections', 'Staphylococcus', 'Systemic Inflammatory Response Syndrome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10076316446065903]
+Labels: ['Diabetes']
+Scores: [0.8086596727371216]
+Labels: ['Cancer']
+Scores: [0.002825482515618205]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04373281076550484]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9155701398849487]
+Labels: ['Mental Health']
+Scores: [0.024832727387547493]
+Labels: ['Diabetes type 1']
+Scores: [0.1293063908815384]
+Labels: ['Diabetes type 2']
+Scores: [0.84751296043396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730990
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'COVID-19', 'Diabetes Mellitus, Type 2', 'Ethnic and Racial Minorities', 'Primary Health Care', 'Prospective Studies', 'Telemedicine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.026165839284658432]
+Labels: ['Diabetes']
+Scores: [0.9634585380554199]
+Labels: ['Cancer']
+Scores: [0.0006119974423199892]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001913045416586101]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011561488499864936]
+Labels: ['Mental Health']
+Scores: [0.0009920389857143164]
+Labels: ['Diabetes type 1']
+Scores: [0.06265110522508621]
+Labels: ['Diabetes type 2']
+Scores: [0.9884621500968933]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730877
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Non-alcoholic Fatty Liver Disease', 'Triglycerides', 'Middle Aged', 'Male', 'Female', 'Cholesterol, HDL', 'Retrospective Studies', 'Adult', 'Risk Factors', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8517807722091675]
+Labels: ['Diabetes']
+Scores: [0.7119258642196655]
+Labels: ['Cancer']
+Scores: [0.02698797546327114]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04475575312972069]
+Labels: ['Cardiovascular diseases']
+Scores: [0.09543309360742569]
+Labels: ['Mental Health']
+Scores: [0.055825479328632355]
+Labels: ['Diabetes type 1']
+Scores: [0.05838186293840408]
+Labels: ['Diabetes type 2']
+Scores: [0.8722466826438904]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39730670
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Thyroid Hormones', 'Aged', 'Diabetic Nephropathies', 'Diabetic Retinopathy', 'Diabetic Neuropathies', 'Thyrotropin', 'Thyroid Gland', 'Risk Factors', 'Thyroxine']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19562283158302307]
+Labels: ['Diabetes']
+Scores: [0.5068670511245728]
+Labels: ['Cancer']
+Scores: [0.01667342521250248]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02348949760198593]
+Labels: ['Cardiovascular diseases']
+Scores: [0.047564633190631866]
+Labels: ['Mental Health']
+Scores: [0.03223463520407677]
+Labels: ['Diabetes type 1']
+Scores: [0.03547722101211548]
+Labels: ['Diabetes type 2']
+Scores: [0.45004427433013916]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39730430
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Periodontitis', 'Male', 'Female', 'Aged', 'Saliva', 'Biomarkers', 'Gingivitis', 'Adult', 'Microbiota', 'Aged, 80 and over', 'RNA, Ribosomal, 16S']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16686411201953888]
+Labels: ['Diabetes']
+Scores: [0.9698718190193176]
+Labels: ['Cancer']
+Scores: [0.02521391212940216]
+Labels: ['Chronic respiratory disease']
+Scores: [0.040269188582897186]
+Labels: ['Cardiovascular diseases']
+Scores: [0.015505766496062279]
+Labels: ['Mental Health']
+Scores: [0.056837551295757294]
+Labels: ['Diabetes type 1']
+Scores: [0.012298419140279293]
+Labels: ['Diabetes type 2']
+Scores: [0.9808446764945984]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sodium-Glucose Transporter 2 Inhibitors', 'Female', 'Male', 'Heart Failure', 'Middle Aged', 'Aged', 'Retrospective Studies', 'Diabetes Mellitus, Type 2', 'Republic of Korea']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.114717498421669]
+Labels: ['Diabetes']
+Scores: [0.03465460240840912]
+Labels: ['Cancer']
+Scores: [0.015769757330417633]
+Labels: ['Chronic respiratory disease']
+Scores: [0.3174850344657898]
+Labels: ['Cardiovascular diseases']
+Scores: [0.7538835406303406]
+Labels: ['Mental Health']
+Scores: [0.03234583139419556]
+Labels: ['Diabetes type 1']
+Scores: [0.10728244483470917]
+Labels: ['Diabetes type 2']
+Scores: [0.11738613992929459]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39730078
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Sleep Initiation and Maintenance Disorders', 'Prediabetic State', 'Glycated Hemoglobin', 'Cognitive Behavioral Therapy', 'Blood Glucose', 'Male', 'Female', 'Insulin Resistance', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Blood Glucose Self-Monitoring', 'Adult', 'Patient Education as Topic', 'Aged', 'Sleep']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.2617861032485962]
+Labels: ['Diabetes']
+Scores: [0.5875237584114075]
+Labels: ['Cancer']
+Scores: [0.00026910859742201865]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004869945696555078]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0005027847364544868]
+Labels: ['Mental Health']
+Scores: [0.0018234484596177936]
+Labels: ['Diabetes type 1']
+Scores: [0.08444532006978989]
+Labels: ['Diabetes type 2']
+Scores: [0.30145058035850525]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729922
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Periodontitis', 'Male', 'Rats, Wistar', 'Macrophages', 'Diabetes Mellitus, Experimental', 'Rats', 'Alveolar Bone Loss', 'Vitamin D', 'Phagocytosis', 'Diabetes Mellitus, Type 2', 'Calcium', 'Efferocytosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.44031187891960144]
+Labels: ['Diabetes']
+Scores: [0.9943140745162964]
+Labels: ['Cancer']
+Scores: [0.020081011578440666]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04983010143041611]
+Labels: ['Cardiovascular diseases']
+Scores: [0.024698561057448387]
+Labels: ['Mental Health']
+Scores: [0.09754384309053421]
+Labels: ['Diabetes type 1']
+Scores: [0.2756839990615845]
+Labels: ['Diabetes type 2']
+Scores: [0.9910103678703308]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39729784
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Melanoma', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Denmark', 'Middle Aged', 'Cross-Sectional Studies', 'Aged', 'Neoplasm Staging', 'Adult', 'Sex Factors', 'Skin Neoplasms', 'Registries', 'Lymphatic Metastasis', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004909635987132788]
+Labels: ['Diabetes']
+Scores: [0.84928959608078]
+Labels: ['Cancer']
+Scores: [0.9932668209075928]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0005677870358340442]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00034795221290551126]
+Labels: ['Mental Health']
+Scores: [0.0003915230045095086]
+Labels: ['Diabetes type 1']
+Scores: [0.0003922893665730953]
+Labels: ['Diabetes type 2']
+Scores: [0.9889221787452698]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cancer', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39729310
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Lectins', 'Male', 'Female', 'GPI-Linked Proteins', 'Middle Aged', 'Periodontitis', 'Cytokines', 'Tumor Necrosis Factor-alpha', 'Adult', 'Biomarkers', 'Cytokine TWEAK', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.025814367458224297]
+Labels: ['Diabetes']
+Scores: [0.12328754365444183]
+Labels: ['Cancer']
+Scores: [0.0011461734538897872]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008522330899722874]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00019406926003284752]
+Labels: ['Mental Health']
+Scores: [0.000202658397029154]
+Labels: ['Diabetes type 1']
+Scores: [0.0007072614971548319]
+Labels: ['Diabetes type 2']
+Scores: [0.6356530785560608]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39729235
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Antioxidants', 'Plant Extracts', 'Animals', 'Hypoglycemic Agents', 'Adipogenesis', 'Mice', 'Adipocytes', 'Apoptosis', 'Asteraceae', '3T3-L1 Cells', 'alpha-Amylases', 'Cell Movement', 'Phenols', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16447272896766663]
+Labels: ['Diabetes']
+Scores: [0.7907949686050415]
+Labels: ['Cancer']
+Scores: [0.022162264212965965]
+Labels: ['Chronic respiratory disease']
+Scores: [0.026734495535492897]
+Labels: ['Cardiovascular diseases']
+Scores: [0.023168524727225304]
+Labels: ['Mental Health']
+Scores: [0.0661325678229332]
+Labels: ['Diabetes type 1']
+Scores: [0.008938450366258621]
+Labels: ['Diabetes type 2']
+Scores: [0.9208846092224121]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39728692
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Docosahexaenoic Acids', 'Animals', 'Diabetic Retinopathy', 'Mice', 'Humans', 'Electroretinography', 'Retina', 'Tomography, Optical Coherence', 'Male', 'Middle Aged', 'Mice, Inbred C57BL', 'Female', 'Diabetes Mellitus, Experimental', 'Gas Chromatography-Mass Spectrometry', 'Real-Time Polymerase Chain Reaction', 'Diabetes Mellitus, Type 2', 'Aged', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0036963936872780323]
+Labels: ['Diabetes']
+Scores: [0.8293106555938721]
+Labels: ['Cancer']
+Scores: [0.0003299440140835941]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004525884287431836]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002753073931671679]
+Labels: ['Mental Health']
+Scores: [0.0002110140339937061]
+Labels: ['Diabetes type 1']
+Scores: [0.14047786593437195]
+Labels: ['Diabetes type 2']
+Scores: [0.14651013910770416]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39726656
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Israel', 'Female', 'Adolescent', 'Arabs', 'Cross-Sectional Studies', 'Jews', 'Polycystic Ovary Syndrome', 'Hypertension', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Pediatric Obesity', 'Prevalence', 'Male', 'Comorbidity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.15816770493984222]
+Labels: ['Diabetes']
+Scores: [0.5326602458953857]
+Labels: ['Cancer']
+Scores: [0.0012583319330587983]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0009907351341098547]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9789797067642212]
+Labels: ['Mental Health']
+Scores: [0.0004852685669902712]
+Labels: ['Diabetes type 1']
+Scores: [0.08458296954631805]
+Labels: ['Diabetes type 2']
+Scores: [0.12391624599695206]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725431
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Prediabetic State', 'China', 'Diabetes Mellitus, Type 2', 'Randomized Controlled Trials as Topic', 'Prospective Studies', 'Single-Blind Method', 'Telemedicine', 'Multicenter Studies as Topic', 'Cost-Benefit Analysis', 'Male', 'Group Dynamics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.41863909363746643]
+Labels: ['Diabetes']
+Scores: [0.886038601398468]
+Labels: ['Cancer']
+Scores: [0.00012112443073419854]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00014479795936495066]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002799560024868697]
+Labels: ['Mental Health']
+Scores: [0.0006115144351497293]
+Labels: ['Diabetes type 1']
+Scores: [0.016442131251096725]
+Labels: ['Diabetes type 2']
+Scores: [0.0037684799171984196]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39725366
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Cognitive Dysfunction', 'Rats', 'Gastrointestinal Microbiome', 'Diabetes Mellitus, Experimental', 'Rats, Sprague-Dawley', 'Bile Acids and Salts', 'Hypoglycemic Agents', 'Insulin Resistance', 'Hippocampus', 'Maze Learning']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0706833004951477]
+Labels: ['Diabetes']
+Scores: [0.9798889756202698]
+Labels: ['Cancer']
+Scores: [0.0010394892888143659]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0027594822458922863]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0013227525632828474]
+Labels: ['Mental Health']
+Scores: [0.16894571483135223]
+Labels: ['Diabetes type 1']
+Scores: [0.0002925468434114009]
+Labels: ['Diabetes type 2']
+Scores: [0.9940639734268188]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39724976
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Early Detection of Cancer', 'Colorectal Neoplasms', 'Mass Screening', 'Prostate-Specific Antigen', 'Chronic Disease', 'Male', 'Guideline Adherence', 'Prostatic Neoplasms', 'Diabetes Mellitus, Type 2', 'HIV Infections', 'Dyslipidemias']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1386374980211258]
+Labels: ['Diabetes']
+Scores: [0.001933860476128757]
+Labels: ['Cancer']
+Scores: [0.6876356601715088]
+Labels: ['Chronic respiratory disease']
+Scores: [0.018392421305179596]
+Labels: ['Cardiovascular diseases']
+Scores: [0.03329003229737282]
+Labels: ['Mental Health']
+Scores: [0.0005137294065207243]
+Labels: ['Diabetes type 1']
+Scores: [0.011481240391731262]
+Labels: ['Diabetes type 2']
+Scores: [0.01030351035296917]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39723533
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Cognitive Dysfunction', 'Mice', 'Network Pharmacology', 'Molecular Docking Simulation', 'Diabetes Mellitus, Type 2', 'Drugs, Chinese Herbal', 'Male', 'Diabetes Mellitus, Experimental', 'Protein Interaction Maps', 'Hippocampus', 'Signal Transduction', 'Disease Models, Animal', 'Morris Water Maze Test']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.40621232986450195]
+Labels: ['Diabetes']
+Scores: [0.9870939254760742]
+Labels: ['Cancer']
+Scores: [0.004801246337592602]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007489181589335203]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0017299038590863347]
+Labels: ['Mental Health']
+Scores: [0.11010871827602386]
+Labels: ['Diabetes type 1']
+Scores: [0.4476884603500366]
+Labels: ['Diabetes type 2']
+Scores: [0.6752347350120544]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722814
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Homocysteine', 'Male', 'Female', 'Middle Aged', 'Neural Conduction', 'Diabetic Nephropathies', 'Diabetic Neuropathies', 'Aged', 'Risk Factors', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.017832407727837563]
+Labels: ['Diabetes']
+Scores: [0.8769469857215881]
+Labels: ['Cancer']
+Scores: [0.0007490214193239808]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0020899649243801832]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023231839295476675]
+Labels: ['Mental Health']
+Scores: [0.0007001736084930599]
+Labels: ['Diabetes type 1']
+Scores: [0.0006292565376497805]
+Labels: ['Diabetes type 2']
+Scores: [0.993282675743103]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39722811
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'COVID-19', 'Female', 'Male', 'Middle Aged', 'Risk Factors', 'Post-Acute COVID-19 Syndrome', 'Aged', 'Adult', 'Ukraine', 'SARS-CoV-2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.015901604667305946]
+Labels: ['Diabetes']
+Scores: [0.9192781448364258]
+Labels: ['Cancer']
+Scores: [0.00024641971685923636]
+Labels: ['Chronic respiratory disease']
+Scores: [0.44574716687202454]
+Labels: ['Cardiovascular diseases']
+Scores: [0.3336402177810669]
+Labels: ['Mental Health']
+Scores: [0.0003170994750689715]
+Labels: ['Diabetes type 1']
+Scores: [0.0002135607210220769]
+Labels: ['Diabetes type 2']
+Scores: [0.9824188351631165]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39721796
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Pregnancy', 'Gestational Weight Gain', 'White People', 'Adult', 'Retrospective Studies', 'Pregnancy Outcome', 'Obesity', 'COVID-19', 'Pregnancy Complications', 'Black or African American', 'Health Status Disparities', 'Louisiana', 'Diabetes, Gestational', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0031652352772653103]
+Labels: ['Diabetes']
+Scores: [0.0008001732057891786]
+Labels: ['Cancer']
+Scores: [0.00027588996454142034]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007874864153563976]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001311821979470551]
+Labels: ['Mental Health']
+Scores: [0.0003522368206176907]
+Labels: ['Diabetes type 1']
+Scores: [0.003043990582227707]
+Labels: ['Diabetes type 2']
+Scores: [0.003413429716601968]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39720906
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Testosterone', 'Middle Aged', 'Aged', 'Australia', 'Risk Factors', 'Glucose Tolerance Test', 'Glycated Hemoglobin', 'Prognosis', 'Blood Glucose', 'Glucose Intolerance', 'Life Style', 'Risk Assessment']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10246933996677399]
+Labels: ['Diabetes']
+Scores: [0.7598677277565002]
+Labels: ['Cancer']
+Scores: [0.0007852290291339159]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0015800262335687876]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0026468057185411453]
+Labels: ['Mental Health']
+Scores: [0.001057567773386836]
+Labels: ['Diabetes type 1']
+Scores: [0.008038945496082306]
+Labels: ['Diabetes type 2']
+Scores: [0.9493972659111023]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720308
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Sri Lanka', 'Female', 'Male', 'Diabetes Mellitus, Type 1', 'Adolescent', 'Young Adult', 'Diabetes Mellitus, Type 2', 'Age of Onset', 'Retrospective Studies', 'Prevalence', 'Developing Countries', 'Child', 'Adult', 'Glycated Hemoglobin', 'Diabetic Ketoacidosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.013886231929063797]
+Labels: ['Diabetes']
+Scores: [0.9297859072685242]
+Labels: ['Cancer']
+Scores: [0.00017808310803957283]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017358813784085214]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00023238819267135113]
+Labels: ['Mental Health']
+Scores: [0.00022304782760329545]
+Labels: ['Diabetes type 1']
+Scores: [0.38529881834983826]
+Labels: ['Diabetes type 2']
+Scores: [0.4435027539730072]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720253
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Osteoporosis', 'Adaptor Proteins, Signal Transducing', 'Diabetes Mellitus, Type 1', 'Diabetes Mellitus, Type 2', 'Animals', 'Genetic Markers', 'Wnt Signaling Pathway', 'Bone Morphogenetic Proteins']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009919600561261177]
+Labels: ['Diabetes']
+Scores: [0.5984739065170288]
+Labels: ['Cancer']
+Scores: [9.37101140152663e-05]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00016299694834742695]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011973710206802934]
+Labels: ['Mental Health']
+Scores: [0.00022160843946039677]
+Labels: ['Diabetes type 1']
+Scores: [0.016638506203889847]
+Labels: ['Diabetes type 2']
+Scores: [0.03797128424048424]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720249
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Cardiovascular Diseases', 'Male', 'Female', 'Diabetes Mellitus, Type 2', 'Middle Aged', 'Blood Glucose', 'Glycemic Control', 'Cohort Studies', 'Aged', 'Follow-Up Studies', 'Risk Factors', 'Hypoglycemic Agents', 'Adult', 'Cause of Death', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00459744269028306]
+Labels: ['Diabetes']
+Scores: [0.799467921257019]
+Labels: ['Cancer']
+Scores: [0.00030269112903624773]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0004145421553403139]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6067039370536804]
+Labels: ['Mental Health']
+Scores: [0.0002077034441754222]
+Labels: ['Diabetes type 1']
+Scores: [0.0003816337848547846]
+Labels: ['Diabetes type 2']
+Scores: [0.9929570555686951]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39720248
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Insulin Resistance', 'Male', 'Cross-Sectional Studies', 'Female', 'Diabetic Nephropathies', 'Middle Aged', 'Nutrition Surveys', 'United States', 'Adult', 'Aged', 'Risk Factors', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2', 'Body Mass Index']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4314536452293396]
+Labels: ['Diabetes']
+Scores: [0.9192237854003906]
+Labels: ['Cancer']
+Scores: [0.0007718504057265818]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0013538008788600564]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0008945055305957794]
+Labels: ['Mental Health']
+Scores: [0.0005529289483092725]
+Labels: ['Diabetes type 1']
+Scores: [0.16248515248298645]
+Labels: ['Diabetes type 2']
+Scores: [0.3009176552295685]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720247
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Gastrointestinal Microbiome', 'Insulin Resistance', 'Bile Acids and Salts', 'Medicine, Chinese Traditional', 'Precision Medicine', 'Animals']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13425840437412262]
+Labels: ['Diabetes']
+Scores: [0.9600670337677002]
+Labels: ['Cancer']
+Scores: [0.01131201721727848]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04500841721892357]
+Labels: ['Cardiovascular diseases']
+Scores: [0.02323915809392929]
+Labels: ['Mental Health']
+Scores: [0.023140456527471542]
+Labels: ['Diabetes type 1']
+Scores: [0.07685413956642151]
+Labels: ['Diabetes type 2']
+Scores: [0.9792512655258179]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720175
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glycemic Control', 'Diabetes Mellitus, Type 2', 'Health Education', 'Glycated Hemoglobin', 'Blood Glucose', 'Patient Education as Topic']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.21343612670898438]
+Labels: ['Diabetes']
+Scores: [0.9370220303535461]
+Labels: ['Cancer']
+Scores: [0.012816477566957474]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04987107589840889]
+Labels: ['Cardiovascular diseases']
+Scores: [0.021664200350642204]
+Labels: ['Mental Health']
+Scores: [0.034630194306373596]
+Labels: ['Diabetes type 1']
+Scores: [0.001152906334027648]
+Labels: ['Diabetes type 2']
+Scores: [0.9854880571365356]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39720174
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Periapical Periodontitis', 'Diabetes Mellitus, Type 2', 'Prevalence', 'Male', 'Female', 'Middle Aged', 'Root Canal Therapy', 'Adult', 'Romania', 'Tooth, Nonvital', 'Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.44073253870010376]
+Labels: ['Diabetes']
+Scores: [0.7731553912162781]
+Labels: ['Cancer']
+Scores: [0.02176600694656372]
+Labels: ['Chronic respiratory disease']
+Scores: [0.04277588427066803]
+Labels: ['Cardiovascular diseases']
+Scores: [0.05405567213892937]
+Labels: ['Mental Health']
+Scores: [0.08451669663190842]
+Labels: ['Diabetes type 1']
+Scores: [0.06291764229536057]
+Labels: ['Diabetes type 2']
+Scores: [0.8906455636024475]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719839
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'TNF-Related Apoptosis-Inducing Ligand', 'Diabetes Mellitus, Type 2', 'Periodontitis', 'Genetic Predisposition to Disease', 'Polymorphism, Single Nucleotide', 'Gene Frequency', 'Genotype', 'Blood Glucose', 'Polymorphism, Genetic', 'Glycated Hemoglobin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1440209150314331]
+Labels: ['Diabetes']
+Scores: [0.9911980628967285]
+Labels: ['Cancer']
+Scores: [0.01744314841926098]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0022784091997891665]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006516444846056402]
+Labels: ['Mental Health']
+Scores: [0.0006519664893858135]
+Labels: ['Diabetes type 1']
+Scores: [0.0012693798635154963]
+Labels: ['Diabetes type 2']
+Scores: [0.9908912181854248]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719724
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Synbiotics', 'Double-Blind Method', 'Male', 'Middle Aged', 'Female', 'Probiotics', 'Blood Glucose', 'Gastrointestinal Microbiome', 'Glycated Hemoglobin', 'Bifidobacterium animalis', 'Insulin Resistance', 'Treatment Outcome', 'Insulin']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.11850102245807648]
+Labels: ['Diabetes']
+Scores: [0.9306977391242981]
+Labels: ['Cancer']
+Scores: [0.0005641290917992592]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00013898973702453077]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016985069669317454]
+Labels: ['Mental Health']
+Scores: [0.0002802966337185353]
+Labels: ['Diabetes type 1']
+Scores: [0.00012283601972740144]
+Labels: ['Diabetes type 2']
+Scores: [0.992941677570343]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719658
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Acute Kidney Injury', 'Sodium-Glucose Transporter 2 Inhibitors', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Contrast Media', 'Aged', 'Coronary Angiography', 'Propensity Score', 'Percutaneous Coronary Intervention', 'Creatinine', 'China', 'Incidence', 'Retrospective Studies']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03814331069588661]
+Labels: ['Diabetes']
+Scores: [0.8891726732254028]
+Labels: ['Cancer']
+Scores: [0.004640677478164434]
+Labels: ['Chronic respiratory disease']
+Scores: [0.004230155143886805]
+Labels: ['Cardiovascular diseases']
+Scores: [0.79344642162323]
+Labels: ['Mental Health']
+Scores: [0.001370299607515335]
+Labels: ['Diabetes type 1']
+Scores: [0.0004712330992333591]
+Labels: ['Diabetes type 2']
+Scores: [0.991277277469635]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719583
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Liraglutide', 'Sodium-Glucose Transporter 2 Inhibitors', 'Network Meta-Analysis', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Treatment Outcome', 'Glucosides', 'Glycated Hemoglobin', 'Blood Glucose', 'Glucagon-Like Peptide-2 Receptor', 'Gastric Inhibitory Polypeptide', 'Tirzepatide']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.009934349916875362]
+Labels: ['Diabetes']
+Scores: [0.5603477358818054]
+Labels: ['Cancer']
+Scores: [0.0012161167105659842]
+Labels: ['Chronic respiratory disease']
+Scores: [0.001092329854145646]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00029746402287855744]
+Labels: ['Mental Health']
+Scores: [0.0005934624350629747]
+Labels: ['Diabetes type 1']
+Scores: [0.0005566011532209814]
+Labels: ['Diabetes type 2']
+Scores: [0.947426974773407]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719404
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dipeptidyl-Peptidase IV Inhibitors', 'Male', 'Diabetes Mellitus, Type 2', 'Female', 'Middle Aged', 'Sodium-Glucose Transporter 2 Inhibitors', 'Retrospective Studies', 'Aged', 'Hong Kong', 'Treatment Outcome', 'Risk Factors', 'Risk Assessment', 'Myocardial Infarction', 'Thrombosis', 'Time Factors', 'Stroke']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0037192958407104015]
+Labels: ['Diabetes']
+Scores: [0.9821991920471191]
+Labels: ['Cancer']
+Scores: [0.0013458722969517112]
+Labels: ['Chronic respiratory disease']
+Scores: [0.007269228342920542]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9907276034355164]
+Labels: ['Mental Health']
+Scores: [0.0006116630393080413]
+Labels: ['Diabetes type 1']
+Scores: [0.00034929654793813825]
+Labels: ['Diabetes type 2']
+Scores: [0.998108983039856]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719391
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Blood Glucose', 'Life Style', 'Exercise', 'Aged', 'Sleep', 'Hypoglycemic Agents', 'Follow-Up Studies', 'Precision Medicine', 'Adult', 'Biomarkers', 'Prognosis']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02002527378499508]
+Labels: ['Diabetes']
+Scores: [0.979711651802063]
+Labels: ['Cancer']
+Scores: [0.0016332096420228481]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003791230730712414]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001995023572817445]
+Labels: ['Mental Health']
+Scores: [0.00374388275668025]
+Labels: ['Diabetes type 1']
+Scores: [0.007777592167258263]
+Labels: ['Diabetes type 2']
+Scores: [0.992443859577179]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719314
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Biomarkers', 'Black or African American', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glucose Clamp Technique', 'Glucose Tolerance Test', 'Incidence', 'Insulin', 'Insulin Resistance', 'Insulin Secretion', 'Parents', 'Prediabetic State', 'Prognosis', 'Prospective Studies', 'White']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006491603795439005]
+Labels: ['Diabetes']
+Scores: [0.9597068428993225]
+Labels: ['Cancer']
+Scores: [0.0008498849929310381]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011714684078469872]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0009635107708163559]
+Labels: ['Mental Health']
+Scores: [0.0006516767898574471]
+Labels: ['Diabetes type 1']
+Scores: [0.0011069515021517873]
+Labels: ['Diabetes type 2']
+Scores: [0.9724947214126587]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719282
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Middle Aged', 'Qualitative Research', 'Singapore', 'Telemedicine', 'Adult', 'Self Efficacy', 'Aged', 'Health Behavior', 'Asian People', 'Blood Glucose', 'Blood Glucose Self-Monitoring', 'Blood Pressure']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.4700908660888672]
+Labels: ['Diabetes']
+Scores: [0.9230676889419556]
+Labels: ['Cancer']
+Scores: [0.00040504607022739947]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00017625160398893058]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00021065041073597968]
+Labels: ['Mental Health']
+Scores: [0.002174724591895938]
+Labels: ['Diabetes type 1']
+Scores: [0.0003579173353500664]
+Labels: ['Diabetes type 2']
+Scores: [0.989764392375946]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39719183
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Non-alcoholic Fatty Liver Disease', 'Blood Glucose', 'Retrospective Studies', 'Glucose Tolerance Test', 'Adult', 'Aged', 'Cardiovascular Diseases', 'Risk Factors', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8630768060684204]
+Labels: ['Diabetes']
+Scores: [0.9694166779518127]
+Labels: ['Cancer']
+Scores: [0.0004044428642373532]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0011504451977089047]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011462975526228547]
+Labels: ['Mental Health']
+Scores: [0.0008358961204066873]
+Labels: ['Diabetes type 1']
+Scores: [0.10897441953420639]
+Labels: ['Diabetes type 2']
+Scores: [0.1465490162372589]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes']
+Confusion matrix: [[0, 2], [2, 4]]
+---------------------------------
+---------------------------------
+PMID: 39719182
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Chitinase-3-Like Protein 1', 'Male', 'Female', 'Middle Aged', 'Aged', 'Denmark', 'Cardiovascular Diseases', 'Biomarkers', 'Cohort Studies', 'C-Reactive Protein']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.01482242438942194]
+Labels: ['Diabetes']
+Scores: [0.9590070843696594]
+Labels: ['Cancer']
+Scores: [0.0028412416577339172]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00026318745221942663]
+Labels: ['Cardiovascular diseases']
+Scores: [0.126224085688591]
+Labels: ['Mental Health']
+Scores: [9.945554484147578e-05]
+Labels: ['Diabetes type 1']
+Scores: [7.800378807587549e-05]
+Labels: ['Diabetes type 2']
+Scores: [0.9608557820320129]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [1, 5]]
+---------------------------------
+---------------------------------
+PMID: 39719170
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide-1 Receptor', 'Body Composition', 'Network Meta-Analysis as Topic', 'Obesity', 'Hypoglycemic Agents', 'Randomized Controlled Trials as Topic', 'Receptors, Gastrointestinal Hormone', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.005826335400342941]
+Labels: ['Diabetes']
+Scores: [0.03571690618991852]
+Labels: ['Cancer']
+Scores: [0.0014521529665216804]
+Labels: ['Chronic respiratory disease']
+Scores: [0.023362932726740837]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0011963940924033523]
+Labels: ['Mental Health']
+Scores: [0.0001729535433696583]
+Labels: ['Diabetes type 1']
+Scores: [0.04754728078842163]
+Labels: ['Diabetes type 2']
+Scores: [0.05484950914978981]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39719165
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin-Secreting Cells', 'Male', 'Glucagon-Like Peptides', 'Mice', 'Gastrointestinal Microbiome', 'Mice, Inbred C57BL', 'Diabetes Mellitus, Type 2', 'Signal Transduction', 'Diabetes Mellitus, Experimental', 'Methyltransferases', 'Diet, High-Fat', 'Hypoglycemic Agents']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.049782317131757736]
+Labels: ['Diabetes']
+Scores: [0.9882988929748535]
+Labels: ['Cancer']
+Scores: [0.0003947495424654335]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0001834193099057302]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0002503040886949748]
+Labels: ['Mental Health']
+Scores: [0.0006437255651690066]
+Labels: ['Diabetes type 1']
+Scores: [0.0007380006718449295]
+Labels: ['Diabetes type 2']
+Scores: [0.9981628656387329]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718468
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptides', 'Immunoglobulin Fc Fragments', 'Liver', 'Recombinant Fusion Proteins', 'Hypoglycemic Agents', 'Adult', 'Non-alcoholic Fatty Liver Disease', 'Aged', 'Glycated Hemoglobin', 'Blood Glucose', 'Cohort Studies', 'Treatment Outcome']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0041837748140096664]
+Labels: ['Diabetes']
+Scores: [0.9629811644554138]
+Labels: ['Cancer']
+Scores: [0.000358638062607497]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003302634577266872]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000261367647908628]
+Labels: ['Mental Health']
+Scores: [0.0001723509340081364]
+Labels: ['Diabetes type 1']
+Scores: [0.21527479588985443]
+Labels: ['Diabetes type 2']
+Scores: [0.5214351415634155]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39718016
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Intra-Abdominal Fat', 'Subcutaneous Fat', 'Transcriptome', 'Gene Expression Profiling', 'Macrophages', 'Protein Interaction Maps']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.1622835248708725]
+Labels: ['Diabetes']
+Scores: [0.8960306644439697]
+Labels: ['Cancer']
+Scores: [0.014129729941487312]
+Labels: ['Chronic respiratory disease']
+Scores: [0.022955380380153656]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06884507834911346]
+Labels: ['Mental Health']
+Scores: [0.03446921706199646]
+Labels: ['Diabetes type 1']
+Scores: [0.007456023711711168]
+Labels: ['Diabetes type 2']
+Scores: [0.9119393825531006]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717954
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Hyperuricemia', 'Uric Acid', 'Renal Insufficiency, Chronic', 'Kidney', 'Animals', 'Obesity', 'Diabetes Mellitus, Type 2', 'Cardiovascular Diseases', 'Gout']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.40686091780662537]
+Labels: ['Diabetes']
+Scores: [0.2080659121274948]
+Labels: ['Cancer']
+Scores: [0.00743379769846797]
+Labels: ['Chronic respiratory disease']
+Scores: [0.016917018219828606]
+Labels: ['Cardiovascular diseases']
+Scores: [0.49789103865623474]
+Labels: ['Mental Health']
+Scores: [0.030457327142357826]
+Labels: ['Diabetes type 1']
+Scores: [0.034479763358831406]
+Labels: ['Diabetes type 2']
+Scores: [0.41337570548057556]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39717105
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Female', 'Male', 'Middle Aged', 'Diabetes Mellitus, Type 2', 'Risk Factors', 'Gastrointestinal Diseases', 'Nomograms', 'Aged', 'Hypoglycemic Agents', 'Adult', 'Prognosis', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0062714614905416965]
+Labels: ['Diabetes']
+Scores: [0.7112681865692139]
+Labels: ['Cancer']
+Scores: [0.0006719180382788181]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002472243213560432]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00010668698087101802]
+Labels: ['Mental Health']
+Scores: [0.0003581490891519934]
+Labels: ['Diabetes type 1']
+Scores: [0.37769174575805664]
+Labels: ['Diabetes type 2']
+Scores: [0.9707930684089661]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716666
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Glycated Hemoglobin', 'Male', 'Female', 'Middle Aged', 'Latent Class Analysis', 'Prospective Studies', 'Aged', 'Exercise', 'Adult', 'Motivation', 'Singapore', 'Educational Status', 'Life Style', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0014627500204369426]
+Labels: ['Diabetes']
+Scores: [0.9889363646507263]
+Labels: ['Cancer']
+Scores: [0.0005605769110843539]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0010924951639026403]
+Labels: ['Cardiovascular diseases']
+Scores: [0.000952289963606745]
+Labels: ['Mental Health']
+Scores: [0.0042813681066036224]
+Labels: ['Diabetes type 1']
+Scores: [0.00040806480683386326]
+Labels: ['Diabetes type 2']
+Scores: [0.9974141120910645]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716481
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Insulin Resistance', 'Heat-Shock Response', 'Male', 'Diet, High-Fat', 'Mice, Inbred C57BL', 'HSP70 Heat-Shock Proteins', 'Disease Progression', 'Blood Glucose', 'Mice', 'Hot Temperature', 'Early Diagnosis', 'Diabetes Mellitus, Type 2', 'Obesity', 'Inflammation']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10378266125917435]
+Labels: ['Diabetes']
+Scores: [0.6275300979614258]
+Labels: ['Cancer']
+Scores: [0.006679156795144081]
+Labels: ['Chronic respiratory disease']
+Scores: [0.01635770872235298]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6523893475532532]
+Labels: ['Mental Health']
+Scores: [0.016414742916822433]
+Labels: ['Diabetes type 1']
+Scores: [0.07324618846178055]
+Labels: ['Diabetes type 2']
+Scores: [0.6175217628479004]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716335
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'T-Lymphocytes, Regulatory', 'Diabetes Mellitus, Type 2', 'Retinal Degeneration', 'Mice, Inbred C57BL', 'Male', 'Diabetic Retinopathy', 'Retina']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.03748181462287903]
+Labels: ['Diabetes']
+Scores: [0.900330126285553]
+Labels: ['Cancer']
+Scores: [0.0002275150764035061]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00035351424594409764]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0028603896498680115]
+Labels: ['Mental Health']
+Scores: [0.0006242775707505643]
+Labels: ['Diabetes type 1']
+Scores: [0.00020758168830070645]
+Labels: ['Diabetes type 2']
+Scores: [0.967602014541626]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716328
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Dementia', 'Diabetes Mellitus, Type 2', 'Hypoglycemic Agents', 'Network Meta-Analysis', 'Observational Studies as Topic', 'Randomized Controlled Trials as Topic', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.012264199554920197]
+Labels: ['Diabetes']
+Scores: [0.1430644541978836]
+Labels: ['Cancer']
+Scores: [0.00046780009870417416]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0008906134171411395]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0006041399901732802]
+Labels: ['Mental Health']
+Scores: [0.03636318817734718]
+Labels: ['Diabetes type 1']
+Scores: [0.0004177428490947932]
+Labels: ['Diabetes type 2']
+Scores: [0.8741258382797241]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes type 2']
+Confusion matrix: [[1, 0], [0, 7]]
+---------------------------------
+---------------------------------
+PMID: 39716288
+Predictions: ['Diabetes type 1', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Randomized Controlled Trials as Topic', 'Blood Glucose Self-Monitoring', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Exercise', 'Health Behavior', 'Diabetes Mellitus, Type 1', 'Female', 'Adult', 'Glycated Hemoglobin', 'Pregnancy', 'Continuous Glucose Monitoring']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.006326302420347929]
+Labels: ['Diabetes']
+Scores: [0.14852365851402283]
+Labels: ['Cancer']
+Scores: [0.0002248048986075446]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002476992376614362]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0003899764269590378]
+Labels: ['Mental Health']
+Scores: [0.00014541973359882832]
+Labels: ['Diabetes type 1']
+Scores: [0.05226544663310051]
+Labels: ['Diabetes type 2']
+Scores: [0.13146890699863434]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [2, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716258
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Biomarkers', 'Blood Glucose', 'Cardiovascular Diseases', 'Cross-Sectional Studies', 'Diabetes Mellitus, Type 2', 'Insulin Resistance', 'Metabolic Syndrome', 'Triglycerides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.0024822428822517395]
+Labels: ['Diabetes']
+Scores: [0.005011562258005142]
+Labels: ['Cancer']
+Scores: [0.0005096803070046008]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0033278767950832844]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9890702962875366]
+Labels: ['Mental Health']
+Scores: [0.0017717712325975299]
+Labels: ['Diabetes type 1']
+Scores: [0.0061272825114429]
+Labels: ['Diabetes type 2']
+Scores: [0.05499817430973053]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716230
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Middle Aged', 'Gangrene', 'Diabetes Mellitus, Type 2', 'Blood Glucose', 'Acupuncture, Ear', 'Wound Healing', 'Treatment Outcome', 'Amputation, Surgical', 'Acupuncture Points', 'Magnetic Field Therapy']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.19912123680114746]
+Labels: ['Diabetes']
+Scores: [0.993837833404541]
+Labels: ['Cancer']
+Scores: [0.001079700654372573]
+Labels: ['Chronic respiratory disease']
+Scores: [0.002090618247166276]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023328615352511406]
+Labels: ['Mental Health']
+Scores: [0.004888385534286499]
+Labels: ['Diabetes type 1']
+Scores: [0.5142588019371033]
+Labels: ['Diabetes type 2']
+Scores: [0.6406680345535278]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716081
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Ferroptosis', 'Gene Regulatory Networks', 'Genetic Predisposition to Disease', 'Genomics', 'Male', 'Diabetes Complications', 'Female', 'Gene Expression Profiling', 'Polymorphism, Single Nucleotide', 'Computational Biology', 'Genetic Association Studies', 'Multiomics']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.16021981835365295]
+Labels: ['Diabetes']
+Scores: [0.9917228817939758]
+Labels: ['Cancer']
+Scores: [0.0003175854217261076]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0019842246547341347]
+Labels: ['Cardiovascular diseases']
+Scores: [0.001233300776220858]
+Labels: ['Mental Health']
+Scores: [0.0016669034957885742]
+Labels: ['Diabetes type 1']
+Scores: [0.00023643119493499398]
+Labels: ['Diabetes type 2']
+Scores: [0.9974018335342407]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39716056
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Bayes Theorem', 'Diabetes Mellitus, Type 2', 'Humans', 'Linear Models', 'Linkage Disequilibrium', 'Quantitative Trait Loci', 'Phenotype', 'Computer Simulation', 'Models, Genetic', 'Genome-Wide Association Study']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.17837290465831757]
+Labels: ['Diabetes']
+Scores: [0.25944775342941284]
+Labels: ['Cancer']
+Scores: [0.24005040526390076]
+Labels: ['Chronic respiratory disease']
+Scores: [0.24312521517276764]
+Labels: ['Cardiovascular diseases']
+Scores: [0.2844666540622711]
+Labels: ['Mental Health']
+Scores: [0.18940073251724243]
+Labels: ['Diabetes type 1']
+Scores: [0.2684727907180786]
+Labels: ['Diabetes type 2']
+Scores: [0.2749082148075104]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39715944
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Adult', 'Female', 'Humans', 'Male', 'Middle Aged', 'Bariatric Surgery', 'Blood Glucose', 'Diabetes Mellitus, Type 2', 'Follow-Up Studies', 'Glycated Hemoglobin', 'Glycemic Control', 'Hypoglycemic Agents', 'Obesity, Morbid', 'Recurrence', 'Remission Induction', 'Retrospective Studies', 'Treatment Outcome', 'Weight Loss']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10820631682872772]
+Labels: ['Diabetes']
+Scores: [0.9908732771873474]
+Labels: ['Cancer']
+Scores: [0.0005431711906567216]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0014037840301170945]
+Labels: ['Cardiovascular diseases']
+Scores: [0.008621666580438614]
+Labels: ['Mental Health']
+Scores: [0.003981920424848795]
+Labels: ['Diabetes type 1']
+Scores: [0.19240820407867432]
+Labels: ['Diabetes type 2']
+Scores: [0.9857749342918396]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39715341
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucagon-Like Peptide 1', 'Animals', 'Female', 'Male', 'Sex Characteristics', 'Obesity', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Sex Factors', 'Cardiovascular Diseases', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.10828419774770737]
+Labels: ['Diabetes']
+Scores: [0.7397740483283997]
+Labels: ['Cancer']
+Scores: [0.007909920066595078]
+Labels: ['Chronic respiratory disease']
+Scores: [0.03755166009068489]
+Labels: ['Cardiovascular diseases']
+Scores: [0.455304890871048]
+Labels: ['Mental Health']
+Scores: [0.012686039321124554]
+Labels: ['Diabetes type 1']
+Scores: [0.49847322702407837]
+Labels: ['Diabetes type 2']
+Scores: [0.3916683793067932]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[0, 1], [2, 5]]
+---------------------------------
+---------------------------------
+PMID: 39715135
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Sulfonylurea Compounds', 'Iraq', 'Sulfonylurea Receptors', 'Case-Control Studies', 'Polymorphism, Single Nucleotide', 'Middle Aged', 'Hypoglycemic Agents', 'Adult']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14558972418308258]
+Labels: ['Diabetes']
+Scores: [0.9442499876022339]
+Labels: ['Cancer']
+Scores: [0.0006732881302013993]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0032817949540913105]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0018448748160153627]
+Labels: ['Mental Health']
+Scores: [0.03866339847445488]
+Labels: ['Diabetes type 1']
+Scores: [0.0006197075126692653]
+Labels: ['Diabetes type 2']
+Scores: [0.9918054342269897]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39713052
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Fatty Acids, Nonesterified', 'Coronary Disease', 'Insulin Resistance']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.13023552298545837]
+Labels: ['Diabetes']
+Scores: [0.9185842871665955]
+Labels: ['Cancer']
+Scores: [0.007435489911586046]
+Labels: ['Chronic respiratory disease']
+Scores: [0.02396988496184349]
+Labels: ['Cardiovascular diseases']
+Scores: [0.8911835551261902]
+Labels: ['Mental Health']
+Scores: [0.012829812243580818]
+Labels: ['Diabetes type 1']
+Scores: [0.008257797919213772]
+Labels: ['Diabetes type 2']
+Scores: [0.9556434154510498]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39710901
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Glucagon-Like Peptides', 'Hypoglycemic Agents', 'Diabetes Mellitus, Type 2', 'Glucagon-Like Peptide-1 Receptor Agonists']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06397949159145355]
+Labels: ['Diabetes']
+Scores: [0.9092361927032471]
+Labels: ['Cancer']
+Scores: [0.007091338746249676]
+Labels: ['Chronic respiratory disease']
+Scores: [0.010281866416335106]
+Labels: ['Cardiovascular diseases']
+Scores: [0.06925234943628311]
+Labels: ['Mental Health']
+Scores: [0.009504398331046104]
+Labels: ['Diabetes type 1']
+Scores: [0.018473714590072632]
+Labels: ['Diabetes type 2']
+Scores: [0.7584298253059387]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710882
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Bone Density', 'Glucagon-Like Peptide-1 Receptor', 'Absorptiometry, Photon', 'Randomized Controlled Trials as Topic', 'Body Composition', 'Diabetes Mellitus, Type 2', 'Bayes Theorem', 'Female', 'Hypoglycemic Agents', 'Male', 'Middle Aged']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.14737889170646667]
+Labels: ['Diabetes']
+Scores: [0.0010654391953721642]
+Labels: ['Cancer']
+Scores: [0.0002685022191144526]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0017986522288993]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00016969403077382594]
+Labels: ['Mental Health']
+Scores: [0.0004567239957395941]
+Labels: ['Diabetes type 1']
+Scores: [0.004065461456775665]
+Labels: ['Diabetes type 2']
+Scores: [0.005820759106427431]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710722
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Middle Aged', 'Seasons', 'Aged', 'Metabolic Diseases', 'Calcifediol', 'Prospective Studies', 'Adult', 'Renal Insufficiency, Chronic', 'Biomarkers']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.08456820994615555]
+Labels: ['Diabetes']
+Scores: [0.9033585786819458]
+Labels: ['Cancer']
+Scores: [0.00342351826839149]
+Labels: ['Chronic respiratory disease']
+Scores: [0.05172545090317726]
+Labels: ['Cardiovascular diseases']
+Scores: [0.018702497705817223]
+Labels: ['Mental Health']
+Scores: [0.004934682510793209]
+Labels: ['Diabetes type 1']
+Scores: [0.0008291002013720572]
+Labels: ['Diabetes type 2']
+Scores: [0.9876202344894409]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710638
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetic Retinopathy', 'Risk Factors', 'Male', 'Female', 'Retrospective Studies', 'Middle Aged', 'Adult', 'Young Adult', 'Diabetes Mellitus, Type 2', 'China']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.002277813386172056]
+Labels: ['Diabetes']
+Scores: [0.6287962794303894]
+Labels: ['Cancer']
+Scores: [0.00019943801453337073]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0002013269840972498]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00011102936696261168]
+Labels: ['Mental Health']
+Scores: [0.0001336349087068811]
+Labels: ['Diabetes type 1']
+Scores: [0.04645286872982979]
+Labels: ['Diabetes type 2']
+Scores: [0.15581870079040527]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710070
+Predictions: ['Diabetes', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Glucosephosphate Dehydrogenase Deficiency', 'Female', 'Male', 'Middle Aged', 'Glycated Hemoglobin', 'Hypoglycemic Agents', 'Adult', 'Aged', 'Blood Glucose', 'Cohort Studies', 'Healthcare Disparities', 'Diabetes Complications', 'Diabetes Mellitus', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.02461405284702778]
+Labels: ['Diabetes']
+Scores: [0.9722757935523987]
+Labels: ['Cancer']
+Scores: [0.0013531121658161283]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00686819339171052]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0023489142768085003]
+Labels: ['Mental Health']
+Scores: [0.001906198333017528]
+Labels: ['Diabetes type 1']
+Scores: [0.2673991918563843]
+Labels: ['Diabetes type 2']
+Scores: [0.2838459312915802]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Diabetes']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+---------------------------------
+PMID: 39710013
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Gastrointestinal Microbiome', 'Case-Control Studies', 'Female', 'Male', 'Adolescent', 'Pediatric Obesity', 'Feces', 'Diabetes Mellitus, Type 2', 'Birth Cohort', 'Bacteroides']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.020583376288414]
+Labels: ['Diabetes']
+Scores: [0.008595874533057213]
+Labels: ['Cancer']
+Scores: [0.0010547515703365207]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003162419656291604]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0030147358775138855]
+Labels: ['Mental Health']
+Scores: [0.0009284192929044366]
+Labels: ['Diabetes type 1']
+Scores: [0.008133413270115852]
+Labels: ['Diabetes type 2']
+Scores: [0.010917223989963531]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39710002
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Genome-Wide Association Study', 'Frailty', 'Genetic Pleiotropy', 'Muscle, Skeletal', 'Comorbidity', 'Polymorphism, Single Nucleotide', 'Female', 'Male', 'Phenotype', 'Aged', 'Genetic Predisposition to Disease']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.06520494073629379]
+Labels: ['Diabetes']
+Scores: [0.9881318211555481]
+Labels: ['Cancer']
+Scores: [0.0006018062704242766]
+Labels: ['Chronic respiratory disease']
+Scores: [0.003019091207534075]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0024810805916786194]
+Labels: ['Mental Health']
+Scores: [0.00033007492311298847]
+Labels: ['Diabetes type 1']
+Scores: [0.0007925626705400646]
+Labels: ['Diabetes type 2']
+Scores: [0.9955944418907166]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709941
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Aged', 'Female', 'Humans', 'Male', 'Middle Aged', 'Cognition', 'Cognitive Dysfunction', 'Diabetes Mellitus, Type 2', 'Dipeptidyl-Peptidase IV Inhibitors', 'Drug Therapy, Combination', 'Hypoglycemic Agents', 'Metabolomics', 'Metformin', 'Prospective Studies', 'Sodium-Glucose Transporter 2 Inhibitors']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.30536308884620667]
+Labels: ['Diabetes']
+Scores: [0.9751809239387512]
+Labels: ['Cancer']
+Scores: [0.017476195469498634]
+Labels: ['Chronic respiratory disease']
+Scores: [0.08660265803337097]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0406055822968483]
+Labels: ['Mental Health']
+Scores: [0.46472346782684326]
+Labels: ['Diabetes type 1']
+Scores: [0.042631834745407104]
+Labels: ['Diabetes type 2']
+Scores: [0.9920434951782227]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39709924
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Animals', 'Mice', 'Diet, High-Fat', 'Male', 'Kidney', 'Diabetic Nephropathies', 'Gastrointestinal Microbiome', 'Dysbiosis', 'Isothiocyanates', 'Humans', 'Mice, Inbred C57BL', 'Protective Agents', 'Blood Glucose', 'Streptozocin', 'Sulfoxides', 'Diabetes Mellitus, Type 2', 'Raphanus', 'Oxidative Stress', 'Bacteria', 'Superoxide Dismutase']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.8349968791007996]
+Labels: ['Diabetes']
+Scores: [0.9732306599617004]
+Labels: ['Cancer']
+Scores: [0.06908207386732101]
+Labels: ['Chronic respiratory disease']
+Scores: [0.1076054647564888]
+Labels: ['Cardiovascular diseases']
+Scores: [0.0713125541806221]
+Labels: ['Mental Health']
+Scores: [0.28722405433654785]
+Labels: ['Diabetes type 1']
+Scores: [0.11037340760231018]
+Labels: ['Diabetes type 2']
+Scores: [0.7765330672264099]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': True, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Noncommunicable Diseases', 'Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 2], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709670
+Predictions: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Male', 'Female', 'Immune Checkpoint Inhibitors', 'Retrospective Studies', 'Neoplasms', 'Aged', 'Middle Aged', 'Cardiovascular Diseases', 'Glucagon-Like Peptide 1', 'Diabetes Mellitus, Type 2']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.030544836074113846]
+Labels: ['Diabetes']
+Scores: [0.6482610106468201]
+Labels: ['Cancer']
+Scores: [0.9775557518005371]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00142255041282624]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9915784597396851]
+Labels: ['Mental Health']
+Scores: [0.0007737441337667406]
+Labels: ['Diabetes type 1']
+Scores: [0.783452033996582]
+Labels: ['Diabetes type 2']
+Scores: [0.7890294194221497]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': True, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': True, 'Diabetes type 2': True}
+Selected labels: ['Cancer', 'Cardiovascular diseases', 'Diabetes type 1', 'Diabetes type 2']
+Confusion matrix: [[3, 1], [0, 4]]
+---------------------------------
+---------------------------------
+PMID: 39709519
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Polycystic Ovary Syndrome', 'Female', 'MicroRNAs', 'Biomarkers', 'Metabolic Diseases', 'Insulin Resistance', 'Non-alcoholic Fatty Liver Disease', 'Diabetes Mellitus, Type 2', 'Obesity']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.41982510685920715]
+Labels: ['Diabetes']
+Scores: [0.28876304626464844]
+Labels: ['Cancer']
+Scores: [0.024227812886238098]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0725335031747818]
+Labels: ['Cardiovascular diseases']
+Scores: [0.6430585384368896]
+Labels: ['Mental Health']
+Scores: [0.08302649110555649]
+Labels: ['Diabetes type 1']
+Scores: [0.08041953295469284]
+Labels: ['Diabetes type 2']
+Scores: [0.42213350534439087]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: []
+Confusion matrix: [[0, 0], [1, 7]]
+---------------------------------
+---------------------------------
+PMID: 39709437
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Female', 'Male', 'Prospective Studies', 'Middle Aged', 'Risk Assessment', 'Aged', 'Time Factors', 'Potassium, Dietary', 'Cardiovascular Diseases', 'Reproducibility of Results', 'Prognosis', 'Biomarkers', 'Risk Factors', 'Protective Factors', 'Albuminuria', 'Urinalysis', 'Recommended Dietary Allowances']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.00047052616719156504]
+Labels: ['Diabetes']
+Scores: [0.8286210298538208]
+Labels: ['Cancer']
+Scores: [0.00047705776523798704]
+Labels: ['Chronic respiratory disease']
+Scores: [0.00035609121550805867]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9850797653198242]
+Labels: ['Mental Health']
+Scores: [0.0003136867599096149]
+Labels: ['Diabetes type 1']
+Scores: [0.0006330362521111965]
+Labels: ['Diabetes type 2']
+Scores: [0.9848480224609375]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Cardiovascular diseases', 'Diabetes type 2']
+Confusion matrix: [[2, 1], [0, 5]]
+---------------------------------
+---------------------------------
+PMID: 39709342
+Predictions: ['Diabetes type 2']
+MeshTerm: ['Humans', 'Diabetes Mellitus, Type 2', 'Male', 'Female', 'Aged', 'Blood Glucose', 'Chronic Pain', 'Middle Aged', 'Pain Measurement', 'Aged, 80 and over']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.004455875139683485]
+Labels: ['Diabetes']
+Scores: [0.8731845617294312]
+Labels: ['Cancer']
+Scores: [0.0011921707773581147]
+Labels: ['Chronic respiratory disease']
+Scores: [0.0003096242726314813]
+Labels: ['Cardiovascular diseases']
+Scores: [0.00022990757133811712]
+Labels: ['Mental Health']
+Scores: [0.00034146109828725457]
+Labels: ['Diabetes type 1']
+Scores: [0.0003732372133526951]
+Labels: ['Diabetes type 2']
+Scores: [0.9821496605873108]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': True, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': False, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Selected labels: ['Diabetes', 'Diabetes type 2']
+Confusion matrix: [[1, 1], [0, 6]]
+---------------------------------
+---------------------------------
+PMID: 39708996
+Predictions: ['Cardiovascular diseases', 'Diabetes type 2']
+MeshTerm: ['Humans', 'United Kingdom', 'Female', 'Male', 'Exercise', 'Middle Aged', 'Prospective Studies', 'Multimorbidity', 'Diabetes Mellitus, Type 2', 'Aged', 'Cardiovascular Diseases', 'Biological Specimen Banks', 'Coronary Disease', 'Genetic Predisposition to Disease', 'Stroke', 'Adult', 'UK Biobank']
+Labels: ['Noncommunicable Diseases']
+Scores: [0.003822504309937358]
+Labels: ['Diabetes']
+Scores: [0.01914801076054573]
+Labels: ['Cancer']
+Scores: [0.0010379914892837405]
+Labels: ['Chronic respiratory disease']
+Scores: [0.006922256201505661]
+Labels: ['Cardiovascular diseases']
+Scores: [0.9736167192459106]
+Labels: ['Mental Health']
+Scores: [0.00026002840604633093]
+Labels: ['Diabetes type 1']
+Scores: [0.03518396615982056]
+Labels: ['Diabetes type 2']
+Scores: [0.05368475988507271]
+Wanted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': True}
+Predicted: {'Noncommunicable Diseases': False, 'Diabetes': False, 'Cancer': False, 'Chronic respiratory disease': False, 'Cardiovascular diseases': True, 'Mental Health': False, 'Diabetes type 1': False, 'Diabetes type 2': False}
+Selected labels: ['Cardiovascular diseases']
+Confusion matrix: [[1, 0], [1, 6]]
+---------------------------------
+Time to classify all articles: 7266.8501670360565 seconds
+Result confusion matrix: [[629, 238], [340, 5193]]
+True Positive Rate (TPR): 0.6491228070175439
+True Negative Rate (TNR): 0.9561774995396796
+Precision: 0.7254901960784313
diff --git a/model/results/zero_shot/v1/microsoft-BiomedNLP_BiomedBERT_base_uncased_abstract.txt b/model/results/zero_shot/v1/microsoft-BiomedNLP_BiomedBERT_base_uncased_abstract.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c1258b0067b3ee6948d6d260c9038eedc4bbe08c
--- /dev/null
+++ b/model/results/zero_shot/v1/microsoft-BiomedNLP_BiomedBERT_base_uncased_abstract.txt
@@ -0,0 +1,8 @@
+---------------------------------
+MODEL: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
+TRESHOLD: 0.7
+---------------------------------
+---------------------------------
+PMID: 39737510
+Predictions: ['Noncommunicable Diseases']
+MeshTerm: ['Humans', 'Adult', 'Middle Aged', 'India', 'Male', 'Female', 'Noncommunicable Diseases', 'Risk Factors', 'Aged', 'Poverty Areas', 'Adolescent', 'Prevalence', 'Smoking', 'Alcohol Drinking', 'Obesity', 'Cross-Sectional Studies', 'Young Adult', 'Urban Population']
diff --git a/model/test_cohere.py b/model/test_cohere.py
new file mode 100644
index 0000000000000000000000000000000000000000..66cc9cb566666ca97b62f93d9599b672a350e837
--- /dev/null
+++ b/model/test_cohere.py
@@ -0,0 +1,134 @@
+import sys
+import os
+
+# Ajouter le répertoire parent au chemin de recherche
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../")))
+
+from api.parser.jsonParser import parseJsonFile
+import time
+
+from model.cohereCommand import cohere_classify
+
+LABELS = [
+ "Noncommunicable Diseases",
+ "Diabetes",
+ "Cancer",
+ "Chronic respiratory disease",
+ "Cardiovascular diseases",
+ "Mental Health",
+ "Diabetes type 1",
+ "Diabetes type 2"
+]
+
+def predict(article):
+ title = article["Title"]
+ articleTitle = article["ArticleTitle"]
+ abstract = article["Abstract"]
+
+ if not isinstance(articleTitle, str):
+ articleTitle = ""
+
+ if not isinstance(abstract, str):
+ abstract = ""
+
+ return cohere_classify(title + articleTitle + abstract, LABELS)
+
+def get_wanted_predictions(article):
+ wanted = {}
+ for label in LABELS:
+ wanted[label] = label in article["Predictions"]
+
+ return wanted
+
+def confusion_matrix(wanted, prediction):
+ matrix = [[0, 0], [0, 0]]
+ for key in wanted.keys():
+ if wanted[key]:
+ if prediction[key]:
+ matrix[0][0] += 1
+ else:
+ matrix[1][0] += 1
+ else:
+ if prediction[key]:
+ matrix[0][1] += 1
+ else:
+ matrix[1][1] += 1
+
+ return matrix
+
+def test_model():
+ with open(f"./results/cohere/v1.txt", "w") as file:
+
+ print("---------------------------------", file=file)
+ print(f"MODEL: Cohere", file=file)
+ print("---------------------------------", file=file)
+
+ nb_entries = 0
+ result_matrix = [[0, 0], [0, 0]]
+ start = time.time()
+
+ for label in LABELS:
+
+ try:
+ filename = label.replace(" ", "_").replace(",", "").lower()
+ print(filename)
+ articles = parseJsonFile(f"./dataset/{filename}.json")
+ # nb_entries += len(articles)
+ except Exception as e:
+ print(f"Error: {e}")
+
+ for article in articles:
+ nb_entries += 1
+ print("---------------------------------", file=file)
+
+ wanted = get_wanted_predictions(article)
+
+ print(f"PMID: {article["PMID"]}")
+ print(f"PMID: {article["PMID"]}", file=file)
+ pred = article["Predictions"]
+ print(f"Predictions: {pred}", file=file)
+ print(f"MeshTerm: {article["MeshTerms"]}", file=file)
+
+ # try:
+ results = predict(article)
+ # except :
+ # end = time.time()
+ # print("Time: ", end-start)
+ # print("Nb entries: ", nb_entries)
+
+ predictions = {}
+
+ selected_labels = results["labels"]
+
+ for label in LABELS:
+ predictions[label] = label in selected_labels
+
+ print(f"Wanted: {wanted}", file=file)
+ print(f"Predicted: {predictions}", file=file)
+ print(f"Selected labels: {selected_labels}", file=file)
+
+ matrix = confusion_matrix(wanted, predictions)
+ print(f"Confusion matrix: {matrix}", file=file)
+
+ for i in range(2):
+ for j in range(2):
+ result_matrix[i][j] += matrix[i][j]
+
+ print("---------------------------------", file=file)
+ time.sleep(6)
+
+ end = time.time()
+
+ print(f"Time to classify all articles: {end-start} seconds", file=file)
+ print(f"Result confusion matrix: {result_matrix}", file=file)
+
+ tpr = result_matrix[0][0] / (result_matrix[0][0] + result_matrix[1][0])
+ tnr = result_matrix[1][1] / (result_matrix[1][1] + result_matrix[0][1])
+ precision = result_matrix[0][0] / (result_matrix[0][0] + result_matrix[0][1])
+
+ print(f"True Positive Rate (TPR): {tpr}", file=file)
+ print(f"True Negative Rate (TNR): {tnr}", file=file)
+ print(f"Precision: {precision}", file=file)
+ print()
+
+test_model()
\ No newline at end of file
diff --git a/model/test_gemini.py b/model/test_gemini.py
index 640e74c13e5fbea7e069640112b2c2c33708ed36..4964469aa5f7113f5b05b409f8711b69a9b90708 100644
--- a/model/test_gemini.py
+++ b/model/test_gemini.py
@@ -7,7 +7,7 @@ sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../")))
from api.parser.jsonParser import parseJsonFile
import time
-from model.gemini import gemini_classify
+from model.gemini import gemini_classify, gemini_start_chat
LABELS = [
"Noncommunicable Diseases",
@@ -20,7 +20,7 @@ LABELS = [
"Diabetes type 2"
]
-def predict(article):
+def predict(chat, article):
title = article["Title"]
articleTitle = article["ArticleTitle"]
abstract = article["Abstract"]
@@ -31,7 +31,7 @@ def predict(article):
if not isinstance(abstract, str):
abstract = ""
- return gemini_classify(title + articleTitle + abstract, LABELS)
+ return gemini_classify(chat, title + articleTitle + abstract, LABELS)
def get_wanted_predictions(article):
wanted = {}
@@ -57,7 +57,7 @@ def confusion_matrix(wanted, prediction):
return matrix
def test_model():
- with open(f"./results/gemini/v1.txt", "w") as file:
+ with open(f"./results/gemini/v2.txt", "w") as file:
print("---------------------------------", file=file)
print(f"MODEL: Gemini", file=file)
@@ -67,27 +67,36 @@ def test_model():
result_matrix = [[0, 0], [0, 0]]
start = time.time()
+ chat = gemini_start_chat()
+
for label in LABELS:
try:
filename = label.replace(" ", "_").replace(",", "").lower()
print(filename)
- articles = parseJsonFile(f"./data/{filename}.json")
- nb_entries += len(articles)
+ articles = parseJsonFile(f"./dataset/{filename}.json")
+ # nb_entries += len(articles)
except Exception as e:
print(f"Error: {e}")
for article in articles:
+ nb_entries += 1
print("---------------------------------", file=file)
wanted = get_wanted_predictions(article)
+ print(f"PMID: {article["PMID"]}")
print(f"PMID: {article["PMID"]}", file=file)
pred = article["Predictions"]
print(f"Predictions: {pred}", file=file)
print(f"MeshTerm: {article["MeshTerms"]}", file=file)
- results = predict(article)
+ try:
+ results = predict(chat, article)
+ except:
+ end = time.time()
+ print("Time: ", end-start)
+ print("Nb entries: ", nb_entries)
predictions = {}
@@ -109,7 +118,7 @@ def test_model():
print("---------------------------------", file=file)
- time.sleep(1)
+ # time.sleep(1)
end = time.time()
diff --git a/model/test_model.py b/model/test_model.py
index ace8cdafbca6e60ccc094c1027cfba6abc4f5692..ce084a8f0a775b93b5911c598f0912bccdf96c2e 100644
--- a/model/test_model.py
+++ b/model/test_model.py
@@ -8,9 +8,9 @@ from api.parser.jsonParser import parseJsonFile
import time
import statistics
-from model.HuggingFace.zero_shot_classification import create_classifier, classify, MODELS, LABELS
+from model.HuggingFace.zero_shot_classification import create_classifier, classify, MODELS
-TRESHOLD = 0.6
+TRESHOLD = 0.7
KEYWORDS = [
"Diabetes",
@@ -18,6 +18,17 @@ KEYWORDS = [
"Diabetes type 2"
]
+LABELS = [
+ "Noncommunicable Diseases",
+ "Diabetes",
+ "Cancer",
+ "Chronic respiratory disease",
+ "Cardiovascular diseases",
+ "Mental Health",
+ "Diabetes type 1",
+ "Diabetes type 2"
+]
+
def predict(classifier, article, file):
pmid = article["PMID"]
title = article["Title"]
@@ -80,7 +91,7 @@ def confusion_matrix(wanted, prediction):
def test_model(model):
classifier = create_classifier(model)
filename = model.replace(" ", "_").replace("-", "_").replace(".", "_").replace("/", "-")
- with open(f"./results/v6_2/{filename}.txt", "w") as file:
+ with open(f"./results/zero_shot/v1/{filename}.txt", "w") as file:
print("---------------------------------", file=file)
print(f"MODEL: {model}", file=file)
@@ -91,13 +102,12 @@ def test_model(model):
result_matrix = [[0, 0], [0, 0]]
start = time.time()
- for key in KEYWORDS:
+ for label in LABELS:
try:
- # filename = key.replace(" ", "_").replace(",", "").lower()
- filename = key.replace(" ", "_").lower()
+ filename = label.replace(" ", "_").replace(",", "").lower()
print(filename)
- articles = parseJsonFile(f"./data/{filename}.json")
+ articles = parseJsonFile(f"./dataset/{filename}.json")
print(articles)
nb_entries += len(articles)
except Exception as e:
@@ -113,10 +123,6 @@ def test_model(model):
print(f"Predictions: {pred}", file=file)
print(f"MeshTerm: {article["MeshTerms"]}", file=file)
- results_multi = predict(classifier, article, file)
- print(f"Labels: {results_multi["labels"]}", file=file)
- print(f"Scores: {results_multi["scores"]}", file=file)
-
predictions = {}
selected_labels = []
@@ -127,11 +133,9 @@ def test_model(model):
print(f"Labels: {results["labels"]}", file=file)
print(f"Scores: {results["scores"]}", file=file)
- id = results_multi["labels"].index(label)
-
- predictions[label] = (results["scores"][0] + results_multi["scores"][id]) / 2 > TRESHOLD
+ predictions[label] = results["scores"][0] > TRESHOLD
- if (results["scores"][0] + results_multi["scores"][id]) / 2 > TRESHOLD:
+ if results["scores"][0] > TRESHOLD:
selected_labels.append(label)
print(f"Wanted: {wanted}", file=file)